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  • 1
    Publication Date: 2024-05-22
    Description: The Arctic is greatly impacted by climate change. The increase in air temperature drives the thawing of permafrost and an increase in coastal erosion and river discharge. This leads to a greater input of sediment and organic matter into coastal waters, which substantially impacts the ecosystems by reducing light transmission through the water column and altering the biogeochemistry, but also the subsistence economy of local people, and changes in climate because of the transformation of organic matter into greenhouse gases. Yet, the quantification of suspended sediment in Arctic coastal and nearshore waters remains unsatisfactory due to the absence of dedicated algorithms to resolve the high loads occurring in the close vicinity of the shoreline. In this study we present the Arctic Nearshore Turbidity Algorithm (ANTA), the first reflectance-turbidity relationship specifically targeted towards Arctic nearshore waters that is tuned with in-situ measurements from the nearshore waters of Herschel Island Qikiqtaruk in the western Canadian Arctic. A semi-empirical model was calibrated for several relevant sensors in ocean color remote sensing, including MODIS, Sentinel 3 (OLCI), Landsat 8 (OLI), and Sentinel 2 (MSI), as well as the older Landsat sensors TM and ETM+. The ANTA performed better with Landsat 8 than with Sentinel 2 and Sentinel 3. The application of the ANTA to Sentinel 2 imagery that matches in-situ turbidity samples taken in Adventfjorden, Svalbard, shows transferability to nearshore areas beyond Herschel Island Qikiqtaruk.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev , info:eu-repo/semantics/article
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  • 2
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    Universidade Estadual de Maringá. Departamento de Biologia. Programa de Pós-Graduação em Ecologia de Ambientes Aquáticos Continentais.
    Publication Date: 2024-05-21
    Description: Streams are ecosystems closely dependent to their adjacent ecotones, representing important water recharge sources for drainage networks and playing a central role in global nutrient cycling. The primary source of energy in streams comes from allochthonous material originating from riparian vegetation, which becomes available through processing performed by aquatic organisms. Modifications in the composition of the adjacent vegetation, which can be natural or due to land use and occupation, may alter the ecosystem functioning. Despite their critical role in preserving biodiversity, riparian ecosystems face continuous alteration or even removal. Anthropogenic activities, such as excessive use of pesticides and fertilizers in rural areas, and catchment imperviousness in urban areas, for example, negatively affect water quality, leading to contamination and disruptions in the food chain. Studies predominantly focus on densely forested riparian zones, composed mainly of trees, but natural riparian zones with herbaceous or shrubby vegetation have effects less explored when compared to woody vegetation. These include differences in channel stability and morphology, because woody vegetation is more suitable for stabilization of stream banks than herbaceous vegetation. These differences are particularly relevant for organisms like aquatic insects, that play a fundamental role in energy transfer to higher trophic levels and are widely used as bioindicators, given their sensitivity to environmental changes. Metrics such as richness and abundance are commonly used to estimate levels of biodiversity, but for a comprehensive understanding of the role of such species in ecosystem functioning, it is essential to also consider functional diversity. In this context, the following aspects were assessed: i) the effect of sub-basin riparian vegetation stratum (tree x shrub) on the composition and beta-diversity of aquatic insects in tropical streams and ii) the relationship between different levels of anthropogenic intensification and taxonomic and functional indices of aquatic insects, as well as their relationship with environmental variables. The study concluded that functional diversity was more sensitive than taxonomic diversity to changes related to land use and cover in riparian vegetation. Vegetation stratum (tree and shrub) significantly altered total functional diversity, while anthropogenic intensification significantly reduced all functional indices analysed and only one taxonomic index. The results obtained and analysed contributed to an analytical understanding of the functioning of tropical aquatic ecosystems. Furthermore, the study provides valuable parameters and insights for future predictions and mitigation strategies in environments affected by human activities.
    Description: Riachos são ecossistemas estritamente dependentes dos seus ecótonos adjacentes, representando importantes fontes de recarga de água para redes de drenagem e desempenhando um papel central no ciclo global de nutrientes. A principal fonte de energia dos riachos é proveniente do material alóctone da vegetação ripária, que se torna disponível através do processamento pelos organismos aquáticos. Modificações na composição da vegetação adjacente, que podem ser naturais ou decorrentes do uso e cobertura da terra, podem alterar as funções ecossistêmicas. Apesar do seu papel fundamental na preservação da biodiversidade, os riachos são continuamente alterados ou até mesmo removidos. As atividades antrópicas, como o uso excessivo de pesticidas e fertilizantes nas zonas rurais, e a impermeabilização do solo em áreas urbanas, por exemplo, possuem um impacto negativo na qualidade da água, levando à contaminação e a perturbações na cadeia alimentar. Os estudos são predominantemente realizados nas zonas ripárias altamente florestadas, compostas principalmente por árvores de grande porte, mas as zonas ripárias naturais com vegetação herbácea ou arbustiva têm efeitos menos explorados quando comparadas com a vegetação arbórea. Entre os efeitos, incluem diferenças na estabilidade e morfologia do canal, porque a vegetação arbórea é mais adequada para a estabilização das margens do que a vegetação herbácea. Estas diferenças são particularmente relevantes para organismos como os insetos aquáticos, que desempenham um papel fundamental na transferência de energia para níveis tróficos superiores e são amplamente utilizados como bioindicadores, dada a sua sensibilidade às alterações ambientais. Métricas como riqueza e abundância são comumente utilizadas para estimar níveis de biodiversidade, mas para uma compreensão abrangente do papel dessas espécies no funcionamento do ecossistema, é essencial considerar também a diversidade funcional. Neste contexto, avaliou-se os seguintes aspectos: i) o efeito do estrato de vegetação ripária (arbóreo x arbustivo) da sub-bacia sobre a composição e diversidade beta de insetos aquáticos em riachos tropicais e ii) a relação entre a intensificação antrópica e as variáveis ambientais com índices taxonômicos e funcionais de insetos aquáticos. O estudo constatou que a diversidade funcional foi mais sensível às mudanças relacionadas com o uso e cobertura da terra na vegetação ripária. O estrato da vegetação (arbóreo e arbustivo) alterou significativamente a diversidade funcional total, enquanto a intensificação antrópica reduziu significativamente todos os índices funcionais analisados e apenas um taxonômico. Os resultados obtidos e analisados contribuíram para uma compreensão analítica do funcionamento dos ecossistemas aquáticos tropicais, destacando os efeitos do uso e cobertura da terra na diversidade funcional dos insetos aquáticos, em dois hotspots da biodiversidade. Outrossim, o estudo indica parâmetros e informações valiosas para futuras previsões e estratégias de mitigação em ambientes afetados por atividades humanas.
    Description: PhD
    Keywords: Insetos aquáticos de água doce ; Ecologia de riachos ; Diversidade funcional e taxonômica ; Bioindicadores ambientais ; Uso e cobertura da terra ; Vegetação ripária ; Ações naturais e antrópicas ; ASFA_2015::F::Freshwater ecology ; ASFA_2015::I::Insects (aquatic) ; ASFA_2015::S::Streams ; ASFA_2015::E::Ecology ; ASFA_2015::B::Biodiversity ; ASFA_2015::B::Bioindicators ; ASFA_2015::L::Land use ; ASFA_2015::R::Riparian vegetation ; ASFA_2015::H::Human impact
    Repository Name: AquaDocs
    Type: Thesis/Dissertation
    Format: 79pp.
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  • 3
    Publication Date: 2024-05-21
    Description: Das Deutsche Iglauer Bergrecht liegt in drei Varianten vor, die von Adolf Zycha entsprechend mit I, II und III bezeichnet wurden. Es entstand im 13. und 14. Jahrhundert. Die Abschriften Adolf Zychas beruhen auf Originalakten aus dem Ratsarchiv Freiberg und dem Stadtarchiv Iglau. In ihm wurden analog zu den Iglauer Bergrechten A und B die rechtlichen Regelungen für den Bergbau im Königreich Böhmen und der Markgrafschaft Mähren niedergeschriebenen. In der Variante II wurden zwei Paragrafen hinzugefügt und in der Variante III vierzehn Paragrafen. Elf Paragrafen der Variante III beinhalten Stadtrecht.
    Description: source
    Keywords: Böhmen ; Mähren ; Iglau/Jihlava ; Freiberg ; Silberbergbau ; Bergrecht
    Language: German
    Type: doc-type:book , updatedVersion
    Format: 24
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  • 4
    Publication Date: 2024-05-21
    Description: The Dome Fuji (DF) region in Antarctica is a potential site for an ice core with a record of over 1 Myr. Here, we combine large-scale internal airborne radar stratigraphy with a 1-D model to estimate the age of basal ice in the DF region. The radar data used in the study were collected in a survey during the 2016-2017 Antarctic season. We transfer the latest age-depth scales from the DF ice core to isochrones traced in radargrams in the surrounding 500 km × 550 km region. At each point of the survey the 1-D model uses the ages of isochrones to construct the age-depth scale at depths where dated isochrones do not exist, the surface accumulation rate and the basal thermal condition, including melt rate and the thickness of stagnant ice. Our resulting age distribution and age density suggest that several promising sites with ice older than 1.5 Myr in the DF region might exist. The deduced melt rates and presence of stagnant ice provide more constraints for locating sites with a cold base. The accumulation rates range from 0.015 to 0.038 m a-1 ice equivalent. Based on sensitivity studies we find that the number and depth of picked isochrones and the timescale of the ice core severely affect the model results. Our study demonstrates that constraints from deep radar isochrones and a trustworthy timescale could improve the model estimation to find old ice in the DF region.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 5
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    Copernicus Publications
    In:  EPIC3The Cryosphere, Copernicus Publications, 17(11), pp. 4903-4916, ISSN: 1994-0416
    Publication Date: 2024-05-21
    Description: Reliable in situ surface mass balance (SMB) estimates in polar regions are scarce due to limited spatial and temporal data availability. This study aims at deriving automated and continuous specific SMB time series for fast-moving parts of ice sheets and shelves (flow velocityg10a-1) by developing a combined global navigation satellite system (GNSS) reflectometry and refractometry (GNSS-RR) method. In situ snow density, snow water equivalent (SWE), and snow deposition or erosion are estimated simultaneously as an average over an area of several square meters and independently on weather conditions. The combined GNSS-RR method is validated and investigated regarding its applicability to a moving, high-latitude ice shelf. A combined GNSS-RR system was therefore installed in November 2021 on the Ekström ice shelf (flow velocityĝ€¯≈ĝ€¯150a-1) in Dronning Maud Land, Antarctica. The reflected and refracted GNSS observations from the site are post-processed to obtain snow accumulation (deposition and erosion), SWE, and snow density estimates with a 15ĝ€¯min temporal resolution. The results of the first 16 months of data show a high level of agreement with manual and automated reference observations from the same site. Snow accumulation, SWE, and density are derived with uncertainties of around 9ĝ€¯cm, 40m-2ĝ€¯a-1, and 72m-3, respectively. This pilot study forms the basis for extending observational networks with GNSS-RR capabilities, particularly in polar regions. Regional climate models, local snow modeling, and extensive remote sensing data products will profit from calibration and validation based on such in situ time series, especially if many such sensors will be deployed over larger regional scales.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 6
    Publication Date: 2024-05-21
    Description: In order to complement the picture of the atmospheric water cycle in the Southern Ocean, we have continuously monitored water vapor isotopes since January 2020 on Amsterdam Island in the Indian Ocean. We present here the first 2-year long water vapor isotopic record at this site. We show that the water vapor isotopic composition largely follows the water vapor mixing ratio, as expected in marine boundary layers. However, we detect 11 periods of a few days where there is a strong loss of correlation between water vapor δ18O and water vapor mixing ratio as well as abrupt negative excursions of water vapor δ18O. These excursions often occur toward the end of precipitation events. Six of these events show a decrease in gaseous elemental mercury, suggesting subsidence of air from a higher altitude. Our study aims to further explore the mechanism driving these negative excursions in water vapor δ18O. We used two different models to provide a data–model comparison over this 2-year period. While the European Centre Hamburg model (ECHAM6-wiso) at 0.9° was able to reproduce most of the sharp negative water vapor δ18O excursions, hence validating the physics process and isotopic implementation in this model, the Laboratoire de Météorologie Dynamique Zoom model (LMDZ-iso) at 2° (3°) resolution was only able to reproduce seven (one) of the negative excursions, highlighting the possible influence of the model resolution for the study of such abrupt isotopic events. Based on our detailed model–data comparison, we conclude that the most plausible explanations for such isotopic excursions are rain–vapor interactions associated with subsidence at the rear of a precipitation event.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 7
    Publication Date: 2024-05-21
    Description: In a context of global warming and sea level rise acceleration, it is key to estimate the evolution of the atmo- spheric hydrological cycle and temperature in polar regions, which directly influence the surface mass balance of the Arc- tic and Antarctic ice sheets. Direct observations are available from satellite data for the last 40 years and a few weather data since the 1950s in Antarctica. One of the best ways to access longer records is to use climate proxies in firn or ice cores. The water isotopic composition in these cores is widely used to reconstruct past temperature variations. We need to progress in our understanding of the influence of the atmospheric hydrological cycle on the water isotopic composition of ice cores. First, we present a 2-year-long time series of vapor and precipitation isotopic composition mea- surement at Dumont d’Urville Station, in Adélie Land. We characterize diurnal variations of meteorological parameters (temperature, atmospheric water mixing ratio (hereafter hu- midity) and δ18O) for the different seasons and determine the evolution of key relationships (δ18O versus temperature or humidity) throughout the year: we find that the temper- ature vs. δ18O relationship is dependent on synoptic events dynamics in winter contrary to summer. Then, this data set is used to evaluate the atmospheric general circulation model ECHAM6-wiso (model version with embedded water stable isotopes) in a coastal region of Adélie Land where local con- ditions are controlled by strong katabatic winds which directly impact the isotopic signal. We show that a combina- tion of continental (79 %) and oceanic (21 %) grid cells leads model outputs (temperature, humidity and δ18O) to nicely fit the observations, at different timescales (i.e., seasonal to syn- optic). Therefore we demonstrate the added value of long- term water vapor isotopic composition records for model evaluation. Then, as a clear link is found between the isotopic compo- sition of water vapor and precipitation, we assess how iso- topic models can help interpret short firn cores. In fact, a virtual firn core built from ECHAM-wiso outputs explains much more of the variability observed in S1C1 isotopic record than a virtual firn core built from temperature only. Yet, deposition and post-deposition effects strongly affect the firn isotopic signal and probably account for most of the re- maining misfits between archived firn signal and virtual firn core based on atmospheric modeling.
    Repository Name: EPIC Alfred Wegener Institut
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  • 8
    Publication Date: 2024-05-21
    Description: The increase in summer monsoon precipitation over western Africa during the last interglacial (LIG) relative to the pre-industrial (PI) is well documented, but it is uncertain whether this increase is due to larger rainfall rate alone, an extension of the summer monsoon season or a combination of the two. Due to different orbital config- uration, the boreal summer of the LIG was warmer but shorter than the PI, potentially influencing the summer monsoon duration. In this study, we employ a newly developed isotope-enabled climate model, AWI-ESM-wiso to investigate the intensity and length of the West African Summer Monsoon (WASM) for both LIG and PI time periods. Our model results indicate that, despite an intensification in summer insolation and an enhanced hydro-logical cycle, WASM season in the LIG is 9 days shorter compared to the PI. During the LIG, increased insolation in late spring and early summer strengthens the Saharan heat low (SHL) and its associated sub-systems, facilitating a faster accumulation of potential instability and an earlier WASM onset. However, a substantial earlier withdrawal of the WASM is also detected, driven by an earlier southward shift of insolation maximum. More- over, our findings are further supported by models participating in the 4th phase of the Paleoclimate Modelling Intercomparison Project (PMIP4).
    Repository Name: EPIC Alfred Wegener Institut
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  • 9
    Publication Date: 2024-05-21
    Description: Improving our understanding of the controls on Antarctic precipitation is critical for gaining insights into past and future polar and global environmental changes. Here we develop innovative water tracing diagnostics in the atmospheric general circulation model ECHAM6. These tracers provide new detailed information on moisture source locations and properties of Antarctic precipitation. In the preindustrial simulation, annual mean Antarctic precipitation originating from the open ocean has a source latitude range of 49–35◦ S, a source sea surface temperature range of 9.8– 16.3 ◦ C, a source 2 m relative humidity range of 75.6 %– 83.3%, and a source 10m wind velocity (vel10) range of 10.1 to 11.3ms−1. These results are consistent with estimates from existing literature. Central Antarctic precipitation is sourced from more equator-ward (distant) sources via elevated transport pathways compared to coastal Antarctic precipitation. This has been attributed to a moist isentropic framework; i.e. poleward vapour transport tends to follow constant equivalent potential temperature. However, we find notable deviations from this tendency especially in the lower troposphere, likely due to radiative cooling. Heavy precipitation is sourced by longer-range moisture transport: it comes from 2.9◦ (300 km, averaged over Antarctica) more equator-ward (distant) sources compared to the rest of precipitation. Precipitation during negative phases of the Southern Annular Mode (SAM) also comes from more equator-ward moisture sources (by 2.4◦, averaged over Antarctica) compared to precipitation during positive SAM phases, likely due to amplified planetary waves during negative SAM phases. Moreover, source vel10 of annual mean precipitation is on average 2.1 m s−1 higher than annual mean vel10 at moisture source locations from which the precipitation originates. This shows that the evaporation of moisture driving Antarctic precipitation occurs under windier conditions than average. We quantified this dynamic control of Southern Ocean surface wind on moisture availability for Antarctic precipitation. Overall, the innovative water tracing diagnostics enhance our under- standing of the controlling factors of Antarctic precipitation.
    Repository Name: EPIC Alfred Wegener Institut
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  • 10
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    Copernicus Publications
    In:  EPIC3Geoscientific Model Development, Copernicus Publications, 17(8), pp. 3559-3578, ISSN: 1991-959X
    Publication Date: 2024-05-21
    Description: 〈jats:p〉Abstract. This article describes a modular ensemble-based data assimilation (DA) system which is developed for an integrated surface–subsurface hydrological model. The software environment for DA is the Parallel Data Assimilation Framework (PDAF), which provides various assimilation algorithms like the ensemble Kalman filters, non-linear filters, 3D-Var and combinations among them. The integrated surface–subsurface hydrological model is HydroGeoSphere (HGS), a physically based modelling software for the simulation of surface and variably saturated subsurface flow, as well as heat and mass transport. The coupling and capabilities of the modular DA system are described and demonstrated using an idealised model of a geologically heterogeneous alluvial river–aquifer system with drinking water production via riverbank filtration. To demonstrate its modularity and adaptability, both single and multivariate assimilations of hydraulic head and soil moisture observations are demonstrated in combination with individual and joint updating of multiple simulated states (i.e. hydraulic heads and water saturation) and model parameters (i.e. hydraulic conductivity). With the integrated model and this modular DA framework, we have essentially developed the hydrologically and DA-wise robust toolbox for developing the basic model for operational management of coupled surface water–groundwater resources. 〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 11
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    American Geophysical Union (AGU)
    In:  EPIC3Journal of Geophysical Research: Atmospheres, American Geophysical Union (AGU), 129(1), ISSN: 2169-897X
    Publication Date: 2024-05-21
    Description: The products from the Stable Water Isotope Intercomparison Group, Phase 2, are currently used for numerous studies, allowing water isotope model-data comparisons with various isotope-enabled atmospheric general circulation model (AGCMs) outputs. However, the simulations under this framework were performed using different parameterizations and forcings. Therefore, a uniform experimental design with state-of-the-art AGCMs is required to interpret isotope observations rigorously. Here, we evaluate the outputs from three isotope-enabled numerical models nudged by three different reanalysis products and investigate the ability of the isotope-enabled AGCMs to reproduce the spatial and temporal patterns of water isotopic composition observed at the surface and in the atmospheric airborne water. Through correlation analyses at various spatial and temporal scales, we found that the model's performance depends on the model or reanalysis we use, the observations we compare, and the vertical levels we select. Moreover, we employed the stable isotope mass balance method to conduct decomposition analyses on the ratio of isotopic changes in the atmosphere. Our goal was to elucidate the spread in simulated atmospheric column δ18O, which is influenced by factors such as evaporation, precipitation, and horizontal moisture flux. Satisfying the law of conservation of water isotopes, this budget method is expected to explain various fractionation phenomena in atmospheric meteorological and climatic events. It also aims to highlight the spreads in modeled isotope results among different experiments using multiple models and reanalyses, which are primarily dominated by uncertainties in moisture flux and precipitation, respectively.
    Repository Name: EPIC Alfred Wegener Institut
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  • 12
    Publication Date: 2024-05-21
    Description: Based on a 6-year long record (2014–2020) of the isotopic composition of rain (δ18Op) at Réunion Island (55°E, 22°S), in the South-West Indian Ocean, this study shows that the annual isotopic composition of precipitation in this region is strongly controlled by the number of cyclones, the number of best-track days, and the proportion of cyclonic rain during the year. Our results support the use of δ18Op in annual-resolved tropical climate archives as a reliable proxy of past cyclone frequency. The influence of the proportion of cyclonic rain on the annual isotopic composition arises from the systematically more depleted precipitation and water vapor during cyclonic events than during less organized convective systems. The analysis of the daily to hourly isotopic composition of water vapor (δ18Ov) during low-pressure systems and the reproduction of daily δ18Ov observations by AGCMs with a global medium to coarse resolution (LMDZ-iso and ECHAM6-wiso) suggest that during cyclonic periods the stronger depletion mainly arises from both enhanced large-scale precipitation and water vapor-rain interactions under humid conditions.
    Repository Name: EPIC Alfred Wegener Institut
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  • 13
    Publication Date: 2024-05-21
    Description: Naturally available, stable, and heavy water molecules such as HDO and H18O have a lower satura- 2 tion vapour pressure than the most abundant light water molecule H16O; therefore, these heavy water molecules 2 preferentially condense and rain out during cloud formation. Stable water isotope observations thus have the potential to provide information on cloud processes in the trade-wind region, in particular when combined with high-resolution model simulations. In order to evaluate this potential, nested COSMOiso (isotope-enabled Con- sortium for Small Scale Modelling; Steppeler et al., 2003; Pfahl et al., 2012) simulations with explicit convection and horizontal grid spacings of 10, 5, and 1 km were carried out in this study over the tropical Atlantic for the time period of the EUREC4A (Elucidating the role of clouds-circulation coupling in climate; Stevens et al., 2021) field experiment. The comparison to airborne in situ and remote sensing observations shows that the three simu- lations are able to distinguish between different mesoscale cloud organisation patterns as well as between periods with comparatively high and low rain rates. Cloud fraction and liquid water content show a better agreement with aircraft observations with higher spatial resolution, because they show strong spatial variations on the scale of a few kilometres. A low-level cold-dry bias, including too depleted vapour in the subcloud and cloud layer and too enriched vapour in the free troposphere, is found in all three simulations. Furthermore, the simulated sec- ondary isotope variable d-excess in vapour is overestimated compared to observations. Special attention is given to the cloud base level, which is the formation altitude of shallow cumulus clouds. The temporal variability of the simulated isotope variables at cloud base agrees reasonably well with observations, with correlations of the flight-to-flight data as high as 0.7 for δ2H and d-excess. A close examination of isotopic characteristics under precipitating clouds, non-precipitating clouds, clear-sky and dry-warm patches at the altitude of cloud base shows that these different environments are represented faithfully in the model with similar frequencies of occurrence, isotope signals, and specific-humidity anomalies as found in the observations. Furthermore, it is shown that the δ2H of cloud base vapour at the hourly timescale is mainly controlled by mesoscale transport and not by local microphysical processes, while the d-excess is mainly controlled by large-scale drivers. Overall, this evaluation of COSMOiso, including the isotopic characterisation of different cloud base environments, suggests that the simulations can be used for investigating the role of atmospheric circulations on different scales for controlling the formation of shallow cumulus clouds in the trade-wind region, as will be done in part 2 of this study.
    Repository Name: EPIC Alfred Wegener Institut
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  • 14
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    American Geophysical Union (AGU)
    In:  EPIC3Journal of Geophysical Research: Atmospheres, American Geophysical Union (AGU), 128(24), ISSN: 2169-897X
    Publication Date: 2024-05-21
    Description: The Arctic is experiencing unprecedented moistening which is expected to have far-reaching impact on global climate and weather patterns. However, it remains unclear whether this newly sourced moisture originates locally from ice-free ocean regions or is advected from lower latitudes. In this study, we use water vapor isotope measurements in combination with trajectory-based diagnostics and an isotope-enabled atmosphere general circulation model, to assess seasonal shifts in moisture sources and transport pathways in the Arctic. Continuous measurements of near-surface vapor, δ18O, and δD were performed onboard RV Polarstern during the Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition from October 2019 to September 2020. Combining this isotope data set with meteorological observations reveals that the spatiotemporal evolution of δ18O mimics changes in local temperature and humidity at synoptic to seasonal time scales, while corresponding d-excess changes suggest a seasonal shift in the origin of moisture. Simulation results from the particle dispersion model FLEXPART support these findings, indicating that summer moisture originates from nearby open ocean, while winter moisture comes from more remote sources with longer residence time over sea-ice. Results from a nudged ECHAM6-wiso simulation also indicate that evaporative processes from the ocean surface reproduce summer isotope values, but are insufficient to explain measured winter isotope values. Our study provides the first isotopic characterization of Central Arctic moisture over the course of an entire year, helping to differentiate the influence of local processes versus large-scale vapor transport on Arctic moistening. Future process-based investigations should focus on assessing the non-equilibrium isotopic fractionation during airmass transformation over sea-ice.
    Repository Name: EPIC Alfred Wegener Institut
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  • 15
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    Frontiers Media SA
    In:  Frontiers for Young Minds vol. 12 no. 1122119 |
    Publication Date: 2024-05-21
    Description: Lots of creatures live in coral reefs, including some tiny ones you might never have heard of. In this article, we will tell you about the importance of Foraminifera (also called forams), unicellular organisms with shells, that contribute to coral reefs in many ways. Just like corals, some forams living on the seafloor live closely together with microalgae. Some forams also thrive in similar environmental conditions (sunlight, temperature, salt) as corals. For this reason, forams can be used as reef “sensors”, to keep track of the overall health of coral reefs. They can even help to detect poor environmental conditions that might harm coral growth in the future. In this article, we will look at a study of an Indonesian reef ecosystem in which the foram communities living on the seafloor were monitored between 1997 and 2018.
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 16
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    Universidade Estadual da Paraiba/Universidade Federal Rural de Pernambuco (Ethnobiology and Conservation)
    In:  Ethnobiology and Conservation vol. 13 no. 14
    Publication Date: 2024-05-21
    Description: A cotton headdress ornamented with several botanical and faunal elements (TM-5074-2) is kept in the depot of the Wereldmuseum in Amsterdam. There is little information about the provenance of the object or its context of use. Identified by the museum as a ‘shaman hood’, is said to have been obtained from an Asháninka indigenous community along the Ene River, Peruvian Amazon. The unusual composition of the hood, with 16 bundles of bird fragments, 39 bundles of mammal parts, and 3332 seeds, raises several questions. Is the object a traditional Asháninka ornament? Is the combination of so many distinct elements a result of later additions? Is it possible that the hood was manufactured for sale? In addition to literature research, this study aimed to identify the plant and animal species linked to the hood, to verify whether the object in its current composition (covered with plant and animal ornaments) could have been made in the same region inhabited by the Asháninka communities. Through the morphological comparison of the plant and animal parts attached to the hood with the botanical and zoological collections of Naturalis Biodiversity Center, we could identify the species and trace their geographical occurrence. Eight different plant species, eight bird taxa, and at least eight mammal taxa attached to the object were identified, most of them native to the Peruvian Amazon. Finally, with the identification of the species, we proposed possible interpretations for the selection of plants and animals added to the shaman hood based on the historical context and the Asháninka worldview.
    Keywords: Museum objects ; Amazon ; Provenance Research ; Seed beads
    Repository Name: National Museum of Natural History, Netherlands
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  • 17
    facet.materialart.
    Unknown
    Naturalis Biodiversity Center
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 66 no. 1, pp. 1-52
    Publication Date: 2024-05-21
    Description: The Municipal Museum of Zierikzee (The Netherlands) houses a loose-leafed herbarium containing 354 plant specimens, of which the provenance, age and maker were until recently unknown. By studying the plant specimens, paper, decorations and labels, an image was conveyed of an early 18th century herbarium that matched the description of a herbarium from the legacy of Jacob Ligtvoet (1684–1752), gardener in the Hortus botanicus of Leiden (The Netherlands) from 1703 till his death in 1752. This herbarium is one of the oldest garden herbaria of its kind and contains 306 unique species, of which 201 are currently native to the Netherlands. Exotic species come from the Mediterranean (81 spp.), South Africa (8), the Americas (10) and tropical Asia (7) and for the larger part from Europe and temperate Asia. Based on our comparison of names on the oldest labels, this collection of dried plants was probably started after publication of the first garden catalogue by the prefect of the Leiden hortus and professor of botany Herman Boerhaave (1710), but before the second edition in 1720. This historic herbarium reflects the state-of-the-art of botanical science and the international network of Dutch botanical gardens in the early 18th century
    Keywords: Plant Science ; Ecology ; Evolution ; Behavior and Systematics ; 18th century ; Boerhaave ; gardeners ; Holland ; Leiden ; Ligtvoet ; Linnaeus
    Repository Name: National Museum of Natural History, Netherlands
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  • 18
    Publication Date: 2024-05-21
    Description: AlUla region in Saudi Arabia has a rich history regarding mankind, local wildlife, and fertility islands suitable for leguminous species, such as the emblematic Vachellia spp. desert trees. In this region, we investigated the characteristics of desert legumes in two nature reserves (Sharaan and Madakhil), at one archaeological site (Hegra), and in open public domains et al. Ward and Jabal Abu Oud. Biological nitrogen fxation (BNF), isotopes, and N and C contents were investigated through multiple lenses, including parasitism, plant tissues, species identifcation, plant maturity, health status, and plant growth. The average BNF rates of 19 Vachellia gerrardii and 21 Vachellia tortilis trees were respectively 39 and 67%, with low signs of inner N content fuctuations (2.10–2.63% N) compared to other co-occurring plants. The BNF of 23 R. raetam was just as high, with an average of 65% and steady inner N contents of 2.25±0.30%. Regarding parasitism, infected Vachellia trees were unfazed compared to uninfected trees, thereby challenging the commonly accepted detrimental role of parasites. Overall, these results suggest that Vachellia trees and R. raetam shrubs exploit BNF in hyper-arid environments to maintain a high N content when exposed to parasitism and grazing. These fndings underline the pivotal role of plant-bacteria mutualistic symbioses in desert environments. All ecological traits and relationships mentioned are further arguments in favor of these legumes serving as keystone species for ecological restoration and agro-silvo-pastoralism in the AlUla region.
    Repository Name: National Museum of Natural History, Netherlands
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  • 19
    Publication Date: 2024-05-21
    Description: The paper presents the first archaeometric results on a selection of ancient Roman coins (antoniniani) from a treasure found in the Roman necropolis area of ancient Cumae (Southern Italy) during archaeological campaigns by the Centre Jean Bérard. A multi-analytical approach consisting of non-destructive techniques (stereomicroscopy, FESEM-EDS, pXRF, Raman, μ-CT) was implemented on the better-preserved coins of the treasure in order to investigate the chemical composition of the alloy. Chemical analysis showed that the Roman mint prepared the metal with an argentiferous lead–bronze alloy. A group of coins presents a low content of the precious metal, which is in agreement with the financial crisis of the Roman Empire of the third century. Another group of two coins shows a higher silver content, which is in agreement with their issue or with the Mediolanum mint standards. In addition, the external layers of corroded coins were analysed to explore the state of conservation of the patina and to identify the corrosion products. Some typical corrosion patinas due to post-depositional conditions were identified. The mineralogical characterisation of the corrosion products enables us to implement adequate conservation strategies, and the presence of more aggressive patinas suggests immediate interventions.
    Description: Published
    Description: 2038–2055
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 20
    Publication Date: 2024-05-21
    Description: On 2 December 2020 10:54 UTC a shallow earthquake of MW (NOA) = 4.6 occurred near the village of Kallithea (to the east of Thiva), central Greece, which, despite its modest size, was locally damaging. Using InSAR and GNSS data, we mapped a permanent change on the ground surface, i.e., a subsidence of 7 cm. Our geodetic inversion modelling indicates that the rupture occurred on a WNW–ESE striking, SSW-dipping normal fault, with a dip-angle of ~ 54°. The maximum slip value was 0.35 m, which was reached at a depth of about 1100 m. The analysis of broadband seismological data also provided kinematic source parameters such as moment magnitude MW = 4.6 (± 0.1), rupture area 6.3 km2 and mean slip 0.16 m, which agree with the values obtained from the geodetic model. The effects of the earthquake were disproportionate to its moderate magnitude, probably due to its unusually shallow depth (slip centroid at 1.1 km) and the high efficiency of the earthquake (radiation efficiency  = 0.62). The geodetic data inversion also indicates that within the uncertainty limits of the technique, three scenarios are possible (a) the earthquake responsible for the mapped surface deformation may have occurred on a ~ 2-km long, blind normal fault different from the well-known active Kallithea normal fault or (b) could have occurred along a secondary fault that branches off the Kallithea fault or (c) it may have occurred along the Kallithea fault itself, but with its geometrical configuration could not be modelled with available data. We have also concluded that with a high dip-angle Kallithea Fault forward model it is not possible to fit the geodetic data. The rupture initiated at a very shallow depth (1.1 km) and it could not propagate deeper possibly because of a structural barrier down-dip. The 2020 event near Kallithea highlighted the structural complexity in this region of the Asopos Rift valley as the reactivation of the WNW–ESE structures indicates their significant role in strain accommodation and that they still represent a seismic hazard for this region.
    Description: Published
    Description: 1523–1541
    Description: OST2 Deformazione e Hazard sismico e da maremoto
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 21
    Publication Date: 2024-05-21
    Description: Historical seismology retrieves information about the effects of earthquakes that occurred in the past, mostly regarding the damage, but also on environmental effects. In this paper, we describe the methodology of our research on earthquake-induced hydrological effects, which have been long observed and documented, and are among the most outstanding coseismic phenomena. The method of research follows two distinct paths, depending on whether the investigated event occurred before or after the end of the 18th Century. For the most ancient events, we present examples of historical accounts, local reports, private letters, and diaries, in which the information of interest is often hidden within broader descriptions and mentioned as a minor curiosity. On the contrary, for more recent earthquakes, the research benefits from the growing interest in naturalistic observations that marked the onset of the 19th Century, and is achieved through detailed descriptions, journals, seismic postcards, and through the first systematic collections of instrumental data. Finally, we describe a possible method of classification of the hydrological data and show an analysis of the potential applications and outcomes of this type of research.
    Description: Published
    Description: 55
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 22
    Publication Date: 2024-05-21
    Description: Fallout volcanic deposits of Somma- Vesuvius (Campania, southern Italy), characterized by the presence of layers with contrasting textural and hydraulic properties, are frequently affected by shallow landslides during rainwater infiltration. The soils of the stratigraphic sequence present intra- particle pores, originated by the gases escaped during magma decompression in the volcanic conduit, thus are characterized by double porosity (i.e., intraparticle and interparticle pores), which is expected to affect their hydraulic behaviour, and to play a key role in rainwater infiltration through layered deposits. To understand the effect of double porosity on the hydraulic behaviour of the involved soils, controlled experiments have been carried out in an infiltration column. The experimental apparatus is provided with newly designed non-invasive Time Domain Reflectometry (TDR) probes, not buried in the investigated soil layers so as to minimize disturbance to the flow, allowing water content measurement during vertical flow processes. Specifically, transient flow experiments are carried out through reconstituted specimens of black scoriae and grey pumices, both loose pyroclastic granular soils from fallout deposits of Somma-Vesuvius, featuring double porosity with different pore size distributions, that were estimated by X-ray tomography and Mercury Intrusion Porosimetry. The experimental results highlight the effects of the double porosity and clearly indicate the different behaviour of the two soils during wetting and drying processes, mainly related to the different dimensions of intraparticle pores.
    Description: Published
    Description: 3327-3342
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 23
    Publication Date: 2024-05-21
    Description: Il terremoto del 24 aprile 1901, noto come “di Palombara Sabina”, è l’evento più importante (Mw 5.2, I0 8 MCS) localizzato nella Provincia di Roma secondo il catalogo CPTI15. Tuttavia, la base di dati macrosismici, a partire dai quali sono stati calcolati i parametri del catalogo, è piuttosto ridotta. Il presente lavoro ha migliorato la qualità delle conoscenze su questo terremoto attraverso una revisione critica di tutte le fonti citate dai precedenti studi e una ricerca di ulteriori documenti utili per ricostruirne l’effettivo impatto sul territorio. I risultati dello studio hanno portato ad un drastico ridimensionamento delle intensità assegnate alle località colpite dal terremoto e conseguentemente della sua magnitudo macrosismica. Nel corso del lavoro sono inoltre state raccolte nuove informazioni sul modesto terremoto della Sabina del 1890 brevemente descritto in Appendice.
    Description: Published
    Description: 1-34
    Description: JCR Journal
    Keywords: sismologia storica ; Palombara Sabina ; 1901
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 24
    Publication Date: 2024-05-21
    Description: How (in)formal should the classic expression describing risk as the product of hazard, exposure, and vulnerability be considered? What would be the most complete way to describe the process of risk mitigation? These are the questions we try to answer here, using a formal, mathematically sound yet abstract description of hazard, exposure, vulnerability, and risk. We highlight the elements that can be affected for the purpose of mitigation and show how this can improve the quantitative assessment of the procedural aspects of risk mitigation, both long- and short-term, down to the timescale of emergency response.
    Description: Published
    Description: 265
    Description: OSV4: Preparazione alle crisi vulcaniche
    Description: JCR Journal
    Keywords: risk ; vulnerability ; exposure ; hazard ; mitigation ; 05.08. Risk
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 25
    Publication Date: 2024-05-21
    Description: One of the challenges of seismicity monitoring is to achieve multiparametric catalogs complete down to small magnitude using automatic procedures. This can be obtained using seismic networks with high performance and robust, automatic algorithms able to process large data sets, limiting the manual operations of the analysts. The characterization of microseismicity is fundamental to study its spatial and temporal evolution and to define the seismic activity of fault systems. Among the source parameters of microseismic events, focal mechanisms are not generally calculated and, when available in the seismic catalog, their reliability may be dubious. We propose a new tool, named Tool for automatic Earthquake low‐frequency Spectral Level estimAtion (TESLA), to automatically calculate the P‐ and S‐wave low‐frequency spectral levels. Indeed, it has been shown that these levels can be inverted together with P‐phase polarities to better constrain the focal mechanism or to estimate the seismic moment. TESLA is designed to invert the P‐ and S‐displacement spectra searching the optimal signal window to use for the spectral analysis. Using a signal window of fixed duration, although variable according to the earthquake magnitude, is not always the appropriate choice, especially when microseismicity is analyzed. TESLA performs three main tasks for both P and S phases: (1) a systematic exploration of several signal windows to use for the computation of displacement spectra, (2) the spectral analysis for all the selected signal windows, and (3) the evaluation of the best‐displacement spectra through quantitative criteria and the estimation of the low‐frequency spectral levels. The tool is first validated and then applied to the 2013 St. Gallen, Switzerland, induced seismic sequence to calculate the P and S low‐frequency spectral level ratios, which are inverted to estimate focal mechanisms. Our results show the robustness of the tool to process microseismicity and the benefit of using it to automatically analyze large waveform data sets.
    Description: Published
    Description: 2441-2455
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 26
    Publication Date: 2024-05-21
    Description: No abstract
    Description: Published
    Description: 557-561
    Description: JCR Journal
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  • 27
    Publication Date: 2024-05-21
    Description: No abstract
    Description: Published
    Description: 1164767
    Description: JCR Journal
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  • 28
    facet.materialart.
    Unknown
    Seismological Society of America
    In:  Das, R., M. L. Sharma, H. R. Wason, D. Choudhury, and G. Gonzales (2019). A seismic moment magnitude scale, Bull Seismol. Soc. Am. 109, no. 4, 1542–1555, doi: 10.1785/0120180338.
    Publication Date: 2024-05-21
    Description: Moment magnitude Mw was first defined by Hiroo Kanamori in the late 1970s, when the availability of new force balance seismometers made it possible to measure the seismic moment M0 with virtually no limits in the frequency passband. For this reason, Mw does not become saturated even for the largest earthquakes ever recorded. Mw has been chosen in such a way that it coincides best with the previous definitions of magnitude (Ms, ML, mb, etc.) on certain ranges of values but can deviate significantly from them within other ranges. A few years ago, Das and colleagues proposed a new moment magnitude scale Mwg with the aim of better reproducing the values of mb and Ms over their entire range and to better predict the energy ES radiated by earthquakes. We show that there was no need to define such a new scale and that Mwg is not even optimal to achieve the goal of matching ES.
    Description: In press
    Description: OST2 Deformazione e Hazard sismico e da maremoto
    Description: JCR Journal
    Keywords: earthquake magnitude ; moment magnitude scale ; 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 29
    facet.materialart.
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    Seismological Society of America
    In:  "Earthquake Magnitude Conversion Problem” by Ranjit Das, H. R. Wason, Gabriel Gonzalez, M. L. Sharma, Deepankar Choudhury, Conrad Lindholm, Narayan Roy, and Pablo Salazar
    Publication Date: 2024-05-21
    Description: Similar to the previous ones, the latest paper by Das and Colleagues (Das et al.,2018) on the application of the general orthogonal regression (GOR) method (Fuller, 1987; Castellaro et al.,2006), for the conversions between different types of earthquake magnitudes, is a collection of incorrect or undemonstrated assertions, most of which have already been pointed out in several contributions that have been published in the last few years (Gasperini and Lolli, 2014a, b; Gasperini et al., 2015, 2018; Pujol, 2018). We recall below only some of them. According to the recent seismological literature, we use here the term “GOR” to indicate the errors-in variable regression method described by Fuller (1987), even if such term is not fully in line with mathematical statistics as orthogonality is only given for equal errors of the dependent and independent variables.
    Description: Published
    Description: 1366-1369
    Description: OST2 Deformazione e Hazard sismico e da maremoto
    Description: JCR Journal
    Keywords: 04.06. Seismology
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  • 30
    Publication Date: 2024-05-21
    Description: Werecomputethecoefficients of the intensity prediction equation (IPE) in Italy using the data of the DBMI15 version 2.0 (v.2.0) intensity database and the instrumental and combined (instrumental plus macroseismic) magnitudes reported by the CPTI15 v.2.0 catalog. Wefollow the same procedure described in the previous article, consisting of a first step in which the attenuation of intensity I with respect to the distance D from macroseismic hypocenter is referred to the expected intensity at the epicenter IE and a second step in which IE is related to the instrumental magnitude Mi, the combined magnitude Mc,the epicentral intensity I0, and the maximum intensity Imax using error-in-variable (EIV) regression methods. The main methodological difference with respect to the original article concerns the estimation of the uncertainty of IE to be used for EIV regressions, which is empirically derived from the standard deviation of regression between IE and Mi and also used for the regressions of IE with Mc, I0,andImax. In summary, the new IPE determined from DBMI15 v.2.0 is I IE−0:0081D−h−1:072 lnD−lnh , in which D p R2 h2 , h = 4.49 km, and IE can be calculated from the intensity data distribution of the earthquake. If the intensity data distribution is not available, IE can be calculated from the following relationships IE −2:578 1:867Mw,IE I0.
    Description: In press
    Description: OST2 Deformazione e Hazard sismico e da maremoto
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 31
    Publication Date: 2024-05-21
    Description: Misterbianco, located on the southern slope of Mt. Etna (eastern Sicily), was destroyed in the past by two catastrophic events that raised the old town to the ground. The first was the great eruption of 1669, whose lava front buried dozens of villages encountered along its path, entirely destroying the architectural heritage of Etna's southern flank. The second event was the disastrous 1693 Val di Noto earthquake, which caused major destruction throughout south-eastern Sicily, also damaging the few still standing buildings in the town. The GPR survey performed at this site, 350 years after the eruption, allowed a first attempt of planimetric reconstruction of the San Nicolò Church. Starting from the site history, we present the results of an integrated approach that involves history, volcanology and geophysics aimed at addressing future archaeological excavations for the protection of archaeological and monumental assets in a difficult setting as this volcanic environment.
    Description: Published
    Description: 42-50
    Description: JCR Journal
    Keywords: GPR, SfM,cultural heritage,Etna, 1669 eruption ; 04.02. Exploration geophysics
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 32
    Publication Date: 2024-05-21
    Description: We present horizontal ground motion predictions at a soft site in the Kumamoto alluvial plain for the Mj 5.9 and Mj 6.5 Kumamoto earthquakes of April 2016, in the framework of an international blind prediction exercise. Such predictions were obtained by leveraging all available information which included: (i) analysis of earthquake ground motions; (ii) processing of ambient vibration data (AMV); and (iii) 1D ground response analysis. Spectral analysis of earthquake ground-motion data were used to obtain empirical estimates of the prediction site amplification function, with evidence of an amplification peak at about 1.2 Hz. Horizontal-to-vertical spectral ratio analysis of AMV confirmed this resonance frequency and pointed out also a low-frequency resonance around 0.3 Hz at the prediction site. AMV were then processed by cross-correlation, modified spatial autocorrelation and high-resolution beamforming methods to retrieve the 1D shear-wave velocity (Vs) structure at the prediction site by joint inversion of surface-wave dispersion and ellipticity curves. The use of low frequency dispersion curve and ellipticity data allowed to retrieve a reference Vs profile down to few thousand meters depth which was then used to perform 1D equivalent-linear simulations of the M 5.9 event, and both equivalent-linear and nonlinear simulations of the M 6.5 event at the target site. Adopting quantitative goodness-of-fit metrics based on time–frequency representation of the signals, we obtained fair-to-good agreement between 1D predictions and observations for the Mj 6.5 earthquake and a poor agreement for the Mj 5.9 earthquake. In terms of acceleration response spectra, while ground-motion overpredictions were obtained for the Mj 5.9 event, simulated ground motions for the Mj 6.5 earthquake severely underestimate the observations, especially those obtained by the nonlinear approach.
    Description: stituto Nazionale di Geofisica e Vulcanologia (INGV), Rome, Italy.
    Description: Published
    Description: 105
    Description: OST4 Descrizione in tempo reale del terremoto, del maremoto, loro predicibilità e impatto
    Description: JCR Journal
    Keywords: 04.06. Seismology ; 04.02. Exploration geophysics
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    Publication Date: 2024-05-21
    Description: Vor etwa 10 Jahren startet die Stadt Potsdam ein ehrgeiziges Programm zur Verringerung der Klimaauswirkungen. Dies beinhaltet die Substitution fossiler Energieträger durch erneuerbare Energien für die Bereitstellung von grüner Fernwärme. Die unterirdische Erkundung des geothermischen Potenzials im Stadtgebiet ist ein wichtiger und anspruchsvoller Bestandteil dieser Strategie. Im Potsdamer Stadtgebiet weisen mehrere tiefe salzwasserführende Aquifere ein Potenzial für die geothermische Nutzung auf, von denen der Aalener Sandstein (Mittlerer Jura) für die weitere Erschließung ausgewählt wurde. Hier wird über die Erkundungsergebnisse, die Dublettenbohrung, die Bewertung der Reservoirformation und die wissenschaftliche Auswertung des Aalener Speichersandsteins berichtet. Die Ergebnisse werden im Hinblick auf die künftige Nutzung in der Fernwärmeversorgung der umliegenden Wohngebäude und auf die Bedeutung für die erweiterte geothermische Feldesentwicklung in Potsdam diskutiert.
    Type: info:eu-repo/semantics/lecture
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  • 35
    Publication Date: 2024-05-21
    Description: Im Weltwärmestrom-Datenbank Projekt wird eine neue Forschungsdateninfrastruktur für terrestrische Wärmestromdaten aufgebaut. Zentraler Aspekt ist die Einhaltung der FAIR und OPEN Datenpolitik. Unter anderem werden webbasierte fachbezogene Explorations- und Analysewerkzeuge angeboten, womit sich Nutzende bereits im Browser einen ersten Überblick über die Daten verschaffen können. Fokus dieser Präsentation ist die technische Umsetzung dieser Explorationswerkzeuge. Das Weltwärmestrom Datenbank Projekt setzt sich als Ziel eine neue Forschungsdateninfrastruktur (Web Portal) für terrestrische Wärmestromdaten zu entwickeln. Über die letzten Jahrzehnte ist eine umfangreiche, globale Datensammlung zum Thema Wärmestrom entstanden, welche über eine zentrale Anlaufstelle im Internet durch Einhaltung der FAIR und OPEN Datenpolitik zur Verfügung gestellt werden soll. Neben den Daten selbst, bietet die Anwendung eine integrierte Literaturdatenbank, einen internen Bereich für registrierte Nutzende, eine API und fachbezogene Explorationswerkzeuge, welche hier detaillierter beschrieben werden. Das Paper beschäftigt sich mit den Funktionalitäten des Web Portals, welche durch eine Anforderungsanalyse erfasst wurden, und beschreibt die für die Umsetzung verwendeten Komponenten. Die Explorationswerkzeuge sind hierbei ein separates Modul, welche in VueJS implementiert wurden und über npm in die Projekthomepage eingebunden werden. Als Input benötigt die Anwendung Punktdaten und eine Schema Datei für die Datenbeschreibung. Zentral für die Datenexploration ist ein auf MapLibre basierender Kartenviewer, der die georeferenzierten Punktdaten auf einer Weltkarte darstellt. Damit soll Nutzen-den bereits im Browser die Möglichkeit geboten werden, sich einen ersten Überblick über die Daten zu verschaffen.
    Type: info:eu-repo/semantics/lecture
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  • 36
    Publication Date: 2024-05-21
    Type: info:eu-repo/semantics/other
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  • 37
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    PANGAEA
    In:  NASA Langley Research Center, Hampton
    Publication Date: 2024-05-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; GIM; Granite Island; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Michigan, United States; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 000025, WRMC No. 39035; Pyrgeometer, Kipp & Zonen, CGR4, SN 170256, WRMC No. 78005; Short-wave downward (GLOBAL) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 221094 data points
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  • 38
    facet.materialart.
    Unknown
    PANGAEA
    In:  NASA Langley Research Center, Hampton
    Publication Date: 2024-05-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; Hampton, Virginia, USA; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Langley Research Center; Long-wave downward radiation; LRC; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 040100, WRMC No. 39039; Pyranometer, Kipp & Zonen, CM22, SN 060145, WRMC No. 39041; Pyrgeometer, Eppley, PIR, SN 26169F3, WRMC No. 39026; Pyrheliometer, Kipp & Zonen, CH1, SN 960133, WRMC No. 39017; Short-wave downward (GLOBAL) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 310736 data points
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  • 39
    facet.materialart.
    Unknown
    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 246692 data points
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  • 40
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 267840 data points
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  • 41
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 218882 data points
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  • 42
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 261904 data points
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  • 43
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 231818 data points
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  • 44
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 231416 data points
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  • 45
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 257162 data points
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  • 46
    Publication Date: 2024-05-21
    Description: Estimates of Last Glacial Maximum annual mean seawater temperatures at 50 m depth. The temperature estimates are derived using the Modern Analogue Technique using the ForCenS synthesis (https://doi.org/10.1594/PANGAEA.873570; https://doi.org/10.1038/sdata.2017.109) and World Ocean Atlas 1998 temperature (http://www.nodc.noaa.gov/oc5/woa98.html) for calibration. Dissimilarity to the core top data was calculated using the square-chord distance and the temperatures are the weighted averages of the 10 closest analogues. Estimates were averaged for sites where more than a single sample is available. The data contain a unique ID for each site, a core name, longitude and latitude, temperature in degree Celsius, the temperature anomaly with respect to the World Ocean Atlas climatology, an estimate of species turnover with respect to the nearest core top sample (Bray-Curtis dissimilarity), the number of data points and the uncertainty of the temperature estimate. This uncertainty considers spatial autocorrelation in the training set. It is reduced by the square root of n whenever multiple samples were available for a site.
    Keywords: 06MT15_2; 06MT41_3; 087-1; 101; 108-658C; 111-677B; 117-723A; 122-760A; 122-762B; 134-828; 138-846B; 145-883D; 160-969; 160-973; 161-975; 161-977; 165-999A; 181-1123; 202-1240; 2065N; 21SL; 31-KL; 39KL; 41; 47KL; 509-1; 63F/NL; 6706-2; 70-506B; 7SL; 80KB11; 90-588; 90-591; 90-592; 90-593; 90-594; 94a; 99; A150/180; A15558; A156-4; A164-24; A164-5; A164-6; A164-61; A167-13; A167-14; A172-1; A172-2; A173-4; A179-15; A180-15; A180-16; A180-32; A180-39; A180-47; A180-48; A180-56; A180-72; A180-73; A180-74; A180-76; A180-9; Aegean Sea; After Bray & Curtis (1957); AGSO Cruise 147; Agulhas Current; Akademik M.A. Lavrentiev; Alboran Sea; ALIENOR; also published as VM28-122; AMADEUS; Amazon Fan; Angola Basin; Antarctic Ocean; ANT-IV/1c; APSARA4; Arabian Sea; Arctic Ocean; Argentine Basin; ARK-II/4; ARK-IV/3; ARK-IX/4; ARK-V/3b; ARK-VII/3b; ARK-VIII/2; ARK-X/2; ARK-XIII/2; ARK-XIII/3; Atlantic Ocean; AUSCAN; B0914c/53; Barents Sea; Baruna Jaya I; Bay of Biscay; BC; BC15; Bear Island Fan; Belgica; BG09/14c; Biscaya; BOFS11882#4; BOFS11886#2; BOFS11896#1; BOFS11902#1; BOFS11905#1; BOFS14K; BOFS16K; BOFS17K; BOFS31/1K; BOFS31#1; BOFS5K; BOFS8K; Box corer; Brazil Basin; BS79-22; BS79-33; BS79-37; BS79-38; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Canarias Sea; Cape Basin; Caribbean Sea; CASQ; CD154; CD154-17-17K; CD53; Center for Marine Environmental Sciences; CEPAG; CH82-24; CH8X; Charles Darwin; CHAT_1k; CLIVAMPcruises; Cocos Ridge; COMPCORE; Composite Core; CONDOR-Ia; Coral Sea; Core; CORE; D184; DED87-07; DEDALE87; Denmark Strait; DGKS9603; Discovery (1962); DRILL; Drilling/drill rig; E26-1; E27-23; E27-30; E45-027; E45-078; E45-102; E45-29; E48-003; E48-022; E48-023; E48-027; E48-028; E48-035; E48-11A; E49-023; E49-18; E49-21; E55-6; East Atlantic; East Brazil Basin; Eastern Basin; Eastern Rio Grande Rise; eastern Romanche Fracture Zone; Eastern slope of Kurile Basin; East Pacific; Emperor Seamounts; EN6610; Equatorial Atlantic; Equatorial East Pacific; ETNA80; ETNA82; Event label; FAEGAS_IV; Faeroes Bank; FGGE-Equator 79 - First GARP Global Experiment; FR1/94-GC3; FR10/95; FR10/95-11; FR10/95-14; FR10/95-17; FR10/95-20; FR10/95-29; FR10/95-GC05; FR10/95 GC-29; FR2/96; FR2/96-10; FR2/96-17; FR2/96-27; Fram Strait; Franklin; French Guiana; GC; Genesis III, RR9702A; GeoB10029-4; GeoB10038-4; GeoB10042-1; GeoB10043-3; GeoB10053-7; GeoB10069-3; GeoB1008-3; GeoB1016-3; GeoB1028-5; GeoB1031-4; GeoB1032-3; GeoB1034-3; GeoB1041-3; GeoB1101-5; GeoB1105-4; GeoB1112-4; GeoB1115-4; GeoB1117-2; GeoB1214-1; GeoB1220-1; GeoB12615-4; GeoB1306-1; GeoB1309-2; GeoB1312-2; GeoB1413-4; GeoB1417-1; GeoB1419-2; GeoB1501-4; GeoB1503-1; GeoB1505-1; GeoB1508-4; GeoB1515-1; GeoB1523-1; GeoB16224-1; GeoB1701-4; GeoB1706-2; GeoB1711; GeoB1711-4; GeoB1722-1; GeoB18530-1; GeoB1903-3; GeoB1905-3; GeoB2004-2; GeoB2016-1; GeoB2019-1; GeoB2021-5; GeoB20616-1; GeoB2104-3; GeoB2109-1; GeoB2116-4; GeoB2117-1; GeoB2125-1; GeoB2202-4; GeoB2204-2; GeoB2215-10; GeoB2819-1; GeoB3104-1; GeoB3117-1; GeoB3175-1; GeoB3176-1; GeoB3302-1; GeoB3603-2; GeoB3722-2; GeoB3801-6; GeoB3808-6; GeoB3813-3; GeoB5112-5; GeoB5115-2; GeoB5121-2; GeoB5133-3; GeoB5140-3; GeoB7010-2; GEOFAR; GEOTROPEX 83, NOAMP I; Giant box corer; Giant piston corer; GIK12309-2; GIK12310-4; GIK12328-5; GIK12329-6; GIK12337-5; GIK12345-5; GIK12347-2; GIK12379-1; GIK12392-1; GIK13289-3; GIK13291-1; GIK13519-1; GIK13521-1; GIK15612-2; GIK15627-3; GIK15637-1; GIK15669-1; GIK16017-2; GIK16396-1; GIK16397-2; GIK16415-2; GIK16457-2; GIK16458-1; GIK16458-2; GIK16772-2; GIK16776-1; GIK16867-2; GIK17045-3; GIK17049-6; GIK17050-1; GIK17051-3; GIK17055-1; GIK17724-2; GIK17725-1; GIK17730-4; GIK17938-2; GIK17940-2; GIK17954-1; GIK21533-3 PS11/412; GIK21730-2 PS13/224; GIK23056-2; GIK23065-2; GIK23071-3; GIK23074-1; GIK23230-1 PS05/416; GIK23262-2; GIK23294-4; GIK23351-1; GIK23354-6; GIK23419-8; GIK23519-5; GKG; GL1090; GL-1090; GL-77; Glomar Challenger; GPC; Gravity corer; Gravity corer (Kiel type); Greenland Sea; Greenland Slope; Guinea Basin; Gulf of Cádiz, Atlantic Ocean; Hikurangi margin; HU87-033-008; HU90-13-013; HU91-045-090; HUD90/13; Hudson; Hunter Channel; Identification; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; IMAGES XV - Pachiderme; Indian Ocean; Jean Charcot; Joides Resolution; JOPSII-6; K12; K708-004; K708-006; K708-007; K708-008; K714-3; KAL; KALMAR II; Kasten corer; KET80-03; KET80-19; KET80-22; KET80-39; KET82-16; KF09; KF13; KF16; KH90-3-P2; KH92-1-3a; KH92-1-5a; KL; KL96; KN708-1; KOL; KOMEX II; KS310; LATITUDE; LC01; LC04_LGM; LC07; LC21, LC-21; Leg108; Leg111; Leg117; Leg122; Leg134; Leg138; Leg145; Leg160; Leg161; Leg165; Leg181; Leg202; Leg70; Leg90; Le Noroit; Le Suroît; LGM; LONGITUDE; LV29-114-3; LV29-2; M11/1; M12/1; M123; M123_175-1; M12392-1; M13/2; M15/2; M16/1; M16/2; M17/2; M2/2; M20/2; M23/1; M23/2; M23/3; M25; M29/2; M34/1; M34/2; M34/3; M35/1; M35003-4; M35027-1; M39; M41/3; M49/4; M51; M53; M53_169; M57; M6/5; M6/6; M60; M65; M7/2; M7/3; M7/5; M75/2; M75/2_103-4; M9/4; Marge Ibérique; Maria S. Merian; Marion Dufresne (1972); Marion Dufresne (1995); MARUM; MATACORE; MD012390; MD01-2390; MD012394; MD01-2394; MD012398; MD01-2398; MD012409; MD01-2409; MD012416; MD01-2416; MD022489; MD02-2489; MD022520; MD02-2520; MD022523; MD02-2523; MD022529; MD02-2529; MD032607; MD03-2607; MD03-2705; MD04-2797CQ; MD04-2805CQ; MD04-2805Q; MD04-2845; MD062986; MD06-2986; MD07-3082; MD07-3088; MD07-3100; MD10; MD101; MD104; MD106; MD111; MD114; MD122; MD126; MD13; MD131; MD134; MD140; MD141; MD152; MD159; MD76-131; MD77-169; MD77-171; MD77-179; MD77-180; MD77-191; MD77-194; MD77-203; MD81; MD81-LC07; MD81-LC21; MD84-627; MD84-629; MD84-632; MD84-641; MD88-770; MD90-901; MD90-917; MD952011; MD95-2011; MD952012; MD95-2012; MD952039; MD95-2039; MD952040; MD95-2040; MD952041; MD95-2041; MD952042; MD95-2042; MD952043; MD95-2043; MD96-2048; MD972121; MD97-2121; MD972138; MD97-2138; MD972142; MD97-2142; MD972148; MD97-2148; MD972151; MD97-2151; MD982195; MD98-2195; MD982196; MD98-2196; MD99-2281; MD99-2285; MD99-2331; MD99-2339; MD99-2344; MD99-2346; ME0005A-3JC; Mediterranean Sea; Meteor (1964); Meteor (1986); Mid Atlantic Ridge; MONITOR MONSUN; MSM20/3; MSM39; MUC; MultiCorer; N.Faeroes; NA87-22; Namibia continental slope; NE-Brazilian continental margin; Neofan; Niger Sediment Fan; NOE; North Atlantic; Northeast Atlantic; North East Atlantic; Northern Cape Basin; North Levantine Basin; North Pacific/MOUND; North Pacific Ocean; Northwest Atlantic; Norwegian-Greenland Sea; Norwegian Sea; NS07-25; Number of samples; OD-041-04; Oden; ODEN-96; off Gabun; off Iceland; off Liberia; off NW Africa; off West Africa; OSIRIS5; OSIRIS II; OSIRIS III; P69; PABESIA; Pacific/off Hawaii; PALAEOFLUX; PALEOCINAT; PALEOCINAT II; PC; PC17; PEGASE; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); Planktonic foraminifera; PO158/B; Polarstern; Porto Seamount; POS158/2; POS210/2; Poseidon; PRIVILEGE; PROMETEI; PROMETEII; PS05; PS08; PS11; PS1230-1; PS13 GRÖKORT; PS1533-3; PS17; PS17/242; PS17/245; PS17/251; PS17/290; PS1730-2; PS19/100; PS19/112; PS1919-2; PS1922-1; PS1927-2; PS1951-1; PS19 EPOS II; PS2129-1; PS2138-1; PS2446-4; PS2613-6; PS2644-5; PS27; PS27/020; PS2837-5; PS2876-1; PS2887-1; PS31; PS31/113; PS31/160-5; PS44; PS44/065; PS45; PS45/029; PS45/058; Q200; Q585; R657; RC08; RC08-145; RC08-148; RC08-39; RC08-78; RC09; RC09-124; RC09-126; RC09-150; RC09-161; RC09-162; RC09-178; RC09-191; RC09-225; RC09-49; RC10; RC10-11_LGM; RC10-131; RC10-16_LGM; RC10-50; RC10-62; RC10-97; RC11; RC1112; RC11-120; RC11-121; RC11-126; RC11-134; RC11-145; RC11-147; RC11-21; RC11-210; RC11-213; RC11-22; RC11-23; RC11-26; RC11-86; RC12; RC12-10; RC12-109; RC12-113; RC12-234; RC12-241; RC12-267; RC12-291; RC12-294; RC12-328; RC12-339; RC12-340; RC12-341; RC12-343; RC12-344; RC12-36; RC13; RC13-11; RC13-110; RC13-115; RC13-151; RC13-152; RC13-153; RC13-
    Type: Dataset
    Format: text/tab-separated-values, 4529 data points
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  • 47
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    PANGAEA
    In:  National Institute for Research and Development for Optoelectronics - INOE2000
    Publication Date: 2024-05-21
    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; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; INO; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Magurele (MARS); Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 190620, WRMC No. 88002; Pyranometer, Kipp & Zonen, CMP22, SN 190652, WRMC No. 88016; Pyrgeometer, Kipp & Zonen, CGR4, SN 180285, WRMC No. 88005; Pyrheliometer, Kipp & Zonen, CHP 1, SN 190768, WRMC No. 88003; Romania; 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, 842748 data points
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  • 48
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 176016 data points
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  • 49
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 177196 data points
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  • 50
    Publication Date: 2024-05-21
    Keywords: AGE; Atlantic Ocean; benthic foraminiferal stable isotopes; CALYPSO; Calypso Corer; DEPTH, sediment/rock; Marine isotopic stage; Marion Dufresne (1995); MD03-2705; MD134; mid-Pleistocene transition; Multi-collector ICP-MS (MC-ICP-MS), Neptune Plus, Thermo; Nd isotopic composition; Neodymium-143/Neodymium-144 ratio; Neodymium-143/Neodymium-144 ratio, standard deviation; North Atlantic; ocean circulation; PICABIA; ε-Neodymium; ε-Neodymium, error; ε-Neodymium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 234 data points
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  • 51
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 224020 data points
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  • 52
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    Unknown
    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 246992 data points
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  • 53
    Publication Date: 2024-05-21
    Description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for more than the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth, snow dielectric number, snow temperature, liquid precipitation, air temperature, relative humidity, wind speed and direction and radiation fluxes. They are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
    Keywords: air temperature; Arctic; AWI_Perma; Bayelva; Bayelva_Station; DATE/TIME; Humidity, relative; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; Net radiation; Ny-Ålesund, Spitsbergen; Permafrost; Permafrost Research; Permittivity, relative; precipitation; Precipitation; Quality flag; Quality flag, air temperature; Quality flag, long-wave downward radiation; Quality flag, long-wave upward radiation; Quality flag, net radiation; Quality flag, permittivity; Quality flag, precipitation; Quality flag, relative humidity; Quality flag, short-wave downward (GLOBAL) radiation; Quality flag, short-wave upward (REFLEX) radiation; Quality flag, snow height; Quality flag, wind direction; Quality flag, wind speed; radiation; relative humidity; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; snow depth; snow height; Snow height; Svalbard; Temperature, air; wind direction; Wind direction; Wind direction, standard deviation; wind speed; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 585621 data points
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  • 54
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    Unknown
    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 264354 data points
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  • 55
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 247672 data points
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  • 56
    Publication Date: 2024-05-21
    Keywords: abundance data; Atlantic Ocean; Borgo Valbelluna, Italy; Calcareous nannofossils; Calcium carbonate; DEPTH, sediment/rock; Electronic calcimeter, GeoService GmbH; ETM2; Event label; Field sampling/chisel and hammer; Geochemical data; Latitude of event; Longitude of event; MAD; Madeago, Italy; Madeago section; Mass spectrometer Thermo Electron Delta plus XP; Mercury concentration; Optional event label; Pacific Ocean; planktic foraminifera; Reference/source; Site 1209; Site 1263; Stable carbon and oxygen isotopes; Terche section 11; Terche section 13; test-size; Tethys; trace elements; TRE/11; TRE/13; Uniform resource locator/link to reference; δ13C; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 639 data points
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  • 57
    Publication Date: 2024-05-21
    Keywords: abundance data; Atlantic Ocean; Borgo Valbelluna, Italy; Calcareous nannofossils; Calculated according to Berger (1970); Calculated according to Murray (1976); DEPTH, sediment/rock; ETM2; Event label; Field sampling/chisel and hammer; Foraminifera, planktic/benthic ratio; Fragmentation index, foraminifera; Geochemical data; Latitude of event; Longitude of event; MAD; Madeago, Italy; Madeago section; Mercury concentration; Optional event label; Pacific Ocean; planktic foraminifera; Reference/source; Site 1209; Site 1263; Stable carbon and oxygen isotopes; Terche section 11; Terche section 13; test-size; Tethys; trace elements; TRE/11; TRE/13; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 272 data points
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  • 58
    Publication Date: 2024-05-21
    Keywords: abundance data; Atlantic Ocean; Borgo Valbelluna, Italy; Braarudosphaera spp.; Calcareous nannofossils; Chiasmolithus; Chiphragmalithus; Coccolithus pelagicus; Counted; Cricolithus multiradiatus; DEPTH, sediment/rock; Discoaster; Discoaster multiradiatus; Discoaster spp.; Ellipsolithus macellus; Ericsonia; ETM2; Event label; Field sampling/chisel and hammer; Geochemical data; Latitude of event; Longitude of event; MAD; Madeago, Italy; Madeago section; Mercury concentration; Nannofossils, calcareous, reworked; Neochiastozygus; Octolithus; Optional event label; Pacific Ocean; Placoliths, small; planktic foraminifera; Prinsius; Reference/source; Relative abundance (counted and calculated); Site 1209; Site 1263; Specimen count; Sphenolithus; Sphenolithus radians; Sphenolithus spp.; Stable carbon and oxygen isotopes; Terche section 11; Terche section 13; test-size; Tethys; Thoracosphaera spp.; trace elements; TRE/11; TRE/13; Tribrachiatus contortus; Tribrachiatus contortus/Tribrachiatus orthostylus ratio; Tribrachiatus orthostylus; Uniform resource locator/link to reference; Zygrhablithus bijugatus
    Type: Dataset
    Format: text/tab-separated-values, 2079 data points
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  • 59
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 178408 data points
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  • 60
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 178530 data points
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  • 61
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 175284 data points
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  • 62
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 267660 data points
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  • 63
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 261080 data points
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  • 64
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 225040 data points
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  • 65
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 234725 data points
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  • 66
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyranometer, Eppley, PSP, SN 32608 F3, WRMC No. 42003; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 259126 data points
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  • 67
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    PANGAEA
    In:  National Institute for Research and Development for Optoelectronics - INOE2000
    Publication Date: 2024-05-21
    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; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; INO; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Magurele (MARS); Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 190620, WRMC No. 88002; Pyranometer, Kipp & Zonen, CMP22, SN 190652, WRMC No. 88016; Pyrgeometer, Kipp & Zonen, CGR4, SN 180285, WRMC No. 88005; Pyrheliometer, Kipp & Zonen, CHP 1, SN 190768, WRMC No. 88003; Romania; 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, 792655 data points
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  • 68
    Publication Date: 2024-05-21
    Keywords: abundance data; Atlantic Ocean; Borgo Valbelluna, Italy; Calcareous nannofossils; Carbon, mineral; Carbon, organic, total; Carbon, pyrolysable; Carbon, residual; DEPTH, sediment/rock; ETM2; Event label; Field sampling/chisel and hammer; Geochemical data; Hydrocarbon yield, S1 per unit rock mass; Hydrocarbon yield, S2 per unit rock mass; Hydrocarbon yield, S3 per unit rock mass; Hydrogen index, mass HC, per unit mass total organic carbon; Latitude of event; Longitude of event; MAD; Madeago, Italy; Madeago section; Mercury; Mercury/organic carbon ratio; Mercury concentration; Optional event label; Oxygen index, mass CO2, per unit mass total organic carbon; Pacific Ocean; planktic foraminifera; Pyrolysis temperature maximum; Quantile; Reference/source; Rock eval pyrolysis (Behar et al., 2001); Site 1209; Site 1263; Stable carbon and oxygen isotopes; Terche section 11; Terche section 13; test-size; Tethys; trace elements; TRE/11; TRE/13
    Type: Dataset
    Format: text/tab-separated-values, 1392 data points
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  • 69
    Publication Date: 2024-05-21
    Keywords: abundance data; Atlantic Ocean; Borgo Valbelluna, Italy; Calcareous nannofossils; Calculated; DEPTH, sediment/rock; ETM2; Event label; Field sampling/chisel and hammer; Geochemical data; Latitude of event; Longitude of event; MAD; Madeago, Italy; Madeago section; Mercury concentration; Optional event label; Pacific Ocean; planktic foraminifera; Reference/source; Site 1209; Site 1263; Stable carbon and oxygen isotopes; Terche section 11; Terche section 13; Test size; test-size; Tethys; trace elements; TRE/11; TRE/13; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 831 data points
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  • 70
    Publication Date: 2024-05-21
    Description: Much of our understanding of Earth's past climate states comes from the measurement of oxygen and carbon isotope variations in deep-sea benthic foraminifera. Yet, major intervals in those records that lack the temporal resolution and/or age control required to identify climate forcing and feedback mechanisms. Here we document 66 million years of global climate by a new high-fidelity Cenozoic global reference benthic carbon and oxygen isotope dataset (CENOGRID). Using recurrence analysis, we find that on timescales of millions of years Earth's climate can be grouped into Hothouse, Warmhouse, Coolhouse and Icehouse states separated by transitions related to changing greenhouse gas levels and the growth of polar ice sheets. Each Cenozoic climate state is paced by orbital cycles, but the response to radiative forcing is state dependent.
    Keywords: Cenozoic Climate; Ocean Drilling; Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 27 datasets
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  • 71
    Publication Date: 2024-05-21
    Description: The dataset compiles age model of ODP Site 1085, foraminiferal authigenic Nd isotopic composition of core MD03-2705, foraminiferal authigenic Nd isotopic composition and foraminiferal U/Ca of ODP Site 1085, and benthic foraminiferal stable isotopic compositions of ODP Site 1085.
    Keywords: Atlantic Ocean; benthic foraminiferal stable isotopes; mid-Pleistocene transition; Nd isotopic composition; ocean circulation
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 72
    Publication Date: 2024-05-21
    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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  • 73
    Publication Date: 2024-05-21
    Description: Tree canopies are considered to effectively buffer climate extremes and to mitigate climate change effects. Droughts, which are predicted to become more frequent in the course of climate change, might alter the microclimatic cooling potential of trees. However, our understanding of how microclimate at the tree canopy level is modulated by environmental and tree characteristics and their interactions is still limited. Here, we investigated canopy temperature regulation for five mature co-occurring tree species for two contrasting hydrological situations during the severe drought in 2018.
    Keywords: broad-leafed tree species; canopy cover; drought; floodplain forest; forest microclimate regulation; sap flow
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 74
    Publication Date: 2024-05-21
    Description: Hydroclimate on 'Uvea (Wallis et Futuna) is controlled by rainfall associated with the South Pacific Convergence Zone (SPCZ), the southern hemisphere's largest precipitation feature. To extend the short observational precipitation record, the hydrogen isotopic composition of the algal lipid biomarker dinosterol (d2Hdinosterol) was measured in sediment cores from two volcanic crater lakes on 'Uvea. The modern lakes differ morphologically and chemically but both contain freshwater within the photic zone, support phytoplankton communities inclusive of dinosterol-producing dinoflagellates, and experience identical climate conditions. d2Hdinosterol values track lake water isotope ratios, ultimately controlled in the tropics by precipitation amount and evaporative enrichment. However, in 88-m-deep Lac Lalolalo a steadily decreasing trend in sedimentary d2Hdinosterol values from −227 ‰ around year 988 CE to modern values as low as −303 ‰, suggests this lake's evolution from an active volcanic setting to the present system strongly influenced d2Hdinosterol values. Although current hydrology and water isotope systematics may now reflect precipitation and evaporation in this lake, the interaction between these processes and large changes in basin morphology, geochemistry, and hydrology obstruct the recovery of a climate signal from Lac Lalolalo's sedimentary d2Hdinosterol records. This work emphasizes the importance of site replication and the use of complementary climate reconstruction tools, especially when using molecular proxies that may be sensitive to more than one environmental parameter. Contrary to its neighbor, duplicate d2Hdinosterol records from 23-m-deep Lac Lanutavake varied between −277 ‰ and −297 ‰ and indicate slightly drier conditions during the time-period known as the Medieval Climate Anomaly (MCA, 950 – 1250 CE). The d2Hdinosterol signal in Lac Lanutavake was muted compared to published records from 'Upolu (Samoa) and Efate (Vanuatu) indicating that 'Uvea's location is not as sensitive to precipitation variability at sites farther from the SPCZ central axis. Lithogenic runoff proxies combined with d2Hdinosterol support the interpretation of a relatively dry MCA on 'Uvea, 'Upolu, and Efate, potentially due to less intense precipitation, a contracted, or a more zonally oriented SPCZ.
    Keywords: dinosterol; Holocene; Hydrogen isotopes; lakes; Organic Geochemistry; paleohydrology; Paleolimnology; Sedimentology; South Pacific Convergence Zone; tropical Pacific
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 75
    Publication Date: 2024-05-21
    Description: Data presented here were collected between January 2021 to December 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. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. 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; Metacommunity; meteorology; salt marsh; Spiekeroog
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 76
    Publication Date: 2024-05-21
    Description: A 3 m-long continuous sediment record recovered from Laguna Meseta (LME), one of the lakes located on Meseta Chile Chico, Central Patagonia, Chile. Its radiocarbon chronology documents sediments of the last ~10,000 years indicating a minimum age for postglacial ice-free lacustrine conditions due to a westward retreat of the Large Patagonian Ice sheet. At this time, lacustrine productivity reached its maximum and decreased afterwards. Between 5,500 and 4,600 cal yr BP, a major shift towards allochthonous sediment accumulation occurred, caused by an abrupt increase in clastic deposition from basaltic lithologies of the Meseta Chile Chico. This episode correlates with the precipitation-driven Mid-Holocene glacier advance of Patagonian glaciers, suggesting a persisting glacial influence on the Meseta Chile Chico. After 4,600 cal yr BP wetter climate conditions returned to feed LME with fluvial sediments until a stepped decrease around 1,000 cal yr BP. Thereupon, lacustrine productivity distinctly increased and stabilized around 300 cal yr BP. Our reconstructions and comparisons with other regional paleoenvironmental studies indicate that environmental conditions of LME were mainly controlled by humidity changes on the Meseta Chile Chico and reflect Holocene climate variability.
    Keywords: Chilean Patagonia; Core; CORE; Holocene; Laguna_Meseta; Lake sediment core; LME; Meseta Chile Chico, Central-West Patagonia, Chile; multiproxy reconstructions
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 77
    Publication Date: 2024-05-21
    Description: Estimates of Last Glacial Maximum annual mean seawater temperatures at 50 m depth. The temperature estimates are derived using the Modern Analogue Technique using the ForCenS synthesis (https://doi.org/10.1594/PANGAEA.873570; https://doi.org/10.1038/sdata.2017.109) and World Ocean Atlas 1998 temperature (http://www.nodc.noaa.gov/oc5/woa98.html) for calibration. Dissimilarity to the core top data was calculated using the square-chord distance and the temperatures are the weighted averages of the 10 closest analogues. Estimates were averaged for sites where more than a single sample is available.
    Keywords: Center for Marine Environmental Sciences; LGM; MARUM; Planktonic foraminifera; Seawater temperature; transfer function
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 78
    Publication Date: 2024-05-21
    Description: Paleo±Dust is an updated compilation of bulk and 〈10-µm paleo-dust deposition rate with quantitative 1-σ uncertainties that are inter-comparable among archive types (lake sediment cores, marine sediment cores, polar ice cores, peat bog cores, loess samples). Paleo±Dust incorporates a total of 285 pre-industrial Holocene (pi-HOL) and 209 Last Glacial Maximum (LGM) dust flux constraints from studies published until December 2022. We also recalculate previously published dust fluxes to exclude data from the last deglaciation and thus obtain more representative constraints for the last pre-industrial interglacial and glacial end-member climate states. Metadata include all components necessary to derive dust deposition rate, including: age range, thickness, density, eolian content. We also include 1-sigma uncertainties on each of these components, and on the final bulk and 〈10-µm dust deposition rates. Specific notes for each site and a list of references are also included.
    Keywords: Dust flux; Holocene; Ice core; Lake sediment core; Last Glacial Maximum; Loess; Marine Sediment Core; Peat bog; Uncertainty
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 79
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    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Description: This is a compilation of all short-wave and long-wave radiation datasets from Tamanrasset 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: Algeria; Baseline Surface Radiation Network; BSRN; Monitoring station; MONS; TAM; Tamanrasset
    Type: Dataset
    Format: application/zip, 290 datasets
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  • 80
    Publication Date: 2024-05-21
    Description: Pronounced warming negatively impacts ecosystem resilience in modern oceans. To offer a long-term geological perspective of the calcareous plankton response to global warming, we present an integrated record, from two Tethyan sections, Madeago and Terche (north-eastern Italy), spanning the Eocene Thermal Maximum 2 hyperthermal (ETM2, ~54 Ma). We quantify abundances (%) of planktic foraminiferal and calcareous nannofossil assemblages and changes in their body size (% for calcareous nannofossils and 95 percentile µm for planktic foraminifera). To characterize environmental background conditions, we analyse multiple geochemical and dissolution proxies. Geochemical proxies include: bulk Carbon and Oxygen stable isotope (VPDB ‰), CaCO3 content (%), trace-element (TE) concentration (ppm and ppb), and indices determined by the Rock-Eval pyrolysis such as total organic carbon (TOC, wt.%) content, mineral carbon (MinC, wt.%) content, hydrogen index (HI, mg HC/g TOC, HC=hydrocarbons), oxygen index (OI, mg CO2/g TOC), and Tmax (°C). Dissolution proxies are the same adopted by D'Onofrio et al. (2016). We place our foraminiferal size data into a wider context by comparing it to size data (95 percentile µm) from the southern Atlantic Ocean ODP (Ocean Drilling Program) Site 1263 and tropical Pacific ODP Site 1209. Our study reveals pronounced changes in assemblage composition and a striking dwarfing of planktic foraminiferal tests up to 40% during the event. The environmental pressure impacted both surface and deeper dwellers. We find the smallest sizes in close temporal association with peaks in Hg/Th-Hg/Rb recorded during the ETM2. The foraminiferal size reduction lasted several thousand years. Calcareous nannofossils as well display increased abundance of small placoliths. Our foraminiferal size data from Site 1263 (Atlantic Ocean) and Site 1209 (Pacific Ocean) and literature records highlights that the pronounced dwarfism is restricted to the Tethyan area.
    Keywords: abundance data; Atlantic Ocean; Calcareous nannofossils; ETM2; Geochemical data; Mercury concentration; Pacific Ocean; planktic foraminifera; Site 1209; Site 1263; Stable carbon and oxygen isotopes; test-size; Tethys; trace elements
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 81
    Publication Date: 2024-05-21
    Description: We present a compilation of δ13C data to characterize the ocean circulation during the interglacials of the last 800 000 years. We selected 9 interglacials for which we have collected the available δ13C and δ18O values.
    Keywords: 108-658; 108-659; 108-664; 121-758; 130-806B; 138-846; 138-849; 154-925; 154-927; 154-929; 162-980; 162-982; 162-983; 177-1088; 177-1089; 177-1090; 184-1143; 208-1264; 208-1267; 303-U1308; 306-U1313; 68-502; 81-552; 94-607; CALYPSO; Calypso Corer; Canarias Sea; Cape Basin; Carbon isotopes; Caribbean Sea/RIDGE; CHIMEBO; circulation; COMPCORE; Composite Core; DRILL; Drilling/drill rig; Elevation of event; Event label; Exp303; Exp306; GeoB1034-1; GeoB1211-1; GeoB15016; Giant box corer; GKG; Glomar Challenger; Indian Ocean; Interglacial; Joides Resolution; Latitude of event; Leg108; Leg121; Leg130; Leg138; Leg154; Leg162; Leg177; Leg184; Leg208; Leg68; Leg81; Leg94; Longitude of event; M12/1; M6/6; Marion Dufresne (1995); MD03-2705; MD104; MD134; MD96-2048; Meteor (1986); North Atlantic; North Atlantic/FLANK; North Atlantic/PLATEAU; North Atlantic Climate 1; North Atlantic Climate 2; North Pacific Ocean; ocean; off Chile; PC; PEGASE; PICABIA; Piston corer; RC13; RC13-110; RC13-229; Robert Conrad; SO211; Sonne; South Atlantic Ocean; South China Sea; South Pacific Ocean; Walvis Ridge; Walvis Ridge, Southeast Atlantic Ocean; δ13C; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 558 data points
    Location Call Number Expected Availability
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  • 82
    Publication Date: 2024-05-21
    Description: Understanding permafrost processes and changes requires long-term observational datasets of ground and climate variables. Despite the fact that the Arctic climate changes more rapidly than the rest of the globe, observational data density in the region is low and most time series are short. Long term observations are available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made since 1998 and are still continued today. The climate observations include snow depth, snow dielectric number, snow temperature, liquid precipitation, air temperature, relative humidity, wind speed and direction, and radiation fluxes. The below-ground observations cover active layer and permafrost temperature, soil volumetric water content and soil bulk electrical conductivity. Since the data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth and soil moisture content, they are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
    Keywords: active layer; air temperature; Arctic; AWI_Perma; Bayelva; Bayelva_Station; dielectricity; dielectric number; Electrical conductivity; Monitoring station; MONS; Ny-Ålesund, Spitsbergen; Permafrost; Permafrost Research; precipitation; radiation; relative humidity; relative permittivity; snow depth; snow height; Soil; Soil Moisture; soil temperature; Svalbard; Temperature; water content; wind direction; wind speed
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 83
    Publication Date: 2024-05-21
    Description: The BRITICE-CHRONO project measured 639 new geochronometric ages that constrain the timing of advance and retreat of the last British-Irish Ice Sheet between 31,000 and 15,000 years ago, including across the North Sea. These ages (optically stimulated luminescence, radiocarbon and terrestrial cosmogenic nuclide methods) are made available in an excel spreadsheet, along with all sample and laboratory metadata and calibrations. Together with other published information, the ages were used to build an empirical ice sheet reconstruction at one thousand year time-steps. A poster-map and slideshow (PDF) of the reconstruction (31 to 15 ka) and the underlying GIS data (ArcGIS shapefiles) of ice extents (min, max and optimum) are made available here. An ice sheet model was nudged to fit these ice limits and the ensuing model-reconstruction is made available as a poster-map, slideshow (PDF) and movie (GIF) of the reconstruction (31 to 15 ka). The GIS data is also available including grounded ice extent and ice shelves, ice thickness, ice surface elevation, and ice velocity (as ArcGIS grids). From glacio-isostatic adjustment modelling we also provide digital elevation models of the palaeotopography of the British Isles and surrounding sea floors and coastline positions from 36 to 1 ka (ArcGIS grids and shapefiles). Full methods, descriptions, caveats and interpretations are available in the parent paper to this dataset: Clark. C.D. et al. (2022) Growth and retreat of the last British-Irish Ice Sheet, 31,000 to 15,000 years ago: the BRITICE-CHRONO reconstruction, Boreas.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); BRITICE CHRONO; British Irish Ice Sheet; dating ice retreat; Ice Sheet Modelling
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 84
    Publication Date: 2024-05-21
    Description: The goal of the project was to understand the impact of lateral hydraulic connectivity on the pollution patterns in floodplain soils. Floodplain soils were sampled during summer and autumn 2020 on 89 sites along River Elbe following the German Federal Soil Protection and Contaminated Sites Ordinance (12 July 1999) (Bundes-Bodenschutz- und Altlastenverordnung (BBodSchV)). Five subsamples of topsoil (0 – 10 cm) and subsoil (45 – 55 cm) were taken on each 4 m x 4 m plot and combined to one gross sample each. By sieving the dried samples were separated into 12 grain size fractions (2-63 mm, 1-2 mm, 0.63-1 mm, 0.2-0.63 mm, 0.125-0.2 mm, 0.063-0.125 mm, 0.063-2mm, 0.02-0.063 mm, 0.0063-0.02 mm, 0.002-0.0063 mm, 0.002-0.063 mm, 〈0.002 mm). Further laboratory analyses were carried out following recent DIN standards. Inorganic pollutants (As, Cd, Cr, Cu, Hg, Ni, Pb and Zn) were analyzed in the soil fraction 〈63 µm; organic micro-pollutants (polycyclic aromatic hydrocarbons (PAH), polychlorinated biphenyls (PCB) and organochlorine pesticides) in the fraction 〈2 mm. The analysis of nutrients and additional soil parameters was carried out in the fraction 〈2 mm and the total sample, respectively. The concentrations of the organic micro-pollutants were converted to the 〈63 µm fraction to be able to compare samples of different grain size distributions. The concentrations of the inorganic pollutants were converted to the 〈2 mm fraction for evaluating them according to the limit values defined in the German Federal Soil Protection and Contaminated Sites Ordinance (12 July 1999). Analytic values below the limit of quantification were replaced by the actual limit itself. A pollutant index for both inorganic trace pollutants and organic disruptors was calculated using multiple linear regression obtained by factor analysis without rotation. Additional environmental variables (flood duration, Euclidean distance to the river axis, river stationing) were modeled, computed or queried by GIS within the ElBiota project (https://elbiota.bafg.de).
    Keywords: 1,2,3,4-Tetrachlorobenzene; 1,2,3,5-Tetrachlorobenzene; 1,2,3-Trichlorobenzene; 1,2,4,5-Tetrachlorobenzene; 1,2,4-Trichlorobenzene; 1,3,5-Trichlorobenzene; Acenaphthene; Acenaphthylene; alpha-Hexachlorocyclohexane; Anthracene; Arsenic; Atlas, Wasserstrassen- und Schiffahrtsverwaltung des Bunde; Benz(a)anthracene; Benzo(a)anthracenerene; Benzo(b)fluoranthene; Benzo(g,h,i)perylene; Benzo(k)fluoranthene; beta-Hexachlorocyclohexane; Bösewig; Cadmium; Calcium carbonate; Calculated; Calculated from TOC; Carbon, organic, total; Chromium; Chrysene; Comment; Contamination index; Converted from the 〈2000 µm fraction to the 〈63 µm fraction using the grain size fractions; Converted from the analytical results in the 〈63 µm fraction to the 〈2000 µm fraction using the grain size fractions; Copper; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; Dibenzo(a,h)anthracene; DIN 19684-6:1997-12; DIN EN 16168:2012-11; DIN EN ISO 10382:2003-05; DIN EN ISO 10382:2003-05/DIN EN 15308:2016-12; DIN EN ISO 11260:2018-11; DIN EN ISO 12782-2:2012-09; DIN EN ISO 17294-2-E29:2017-01 and prior digestion according to DIN EN 16174:2012-11/DIN EN 13657:2003-01; DIN ISO 10390:2005-02; DIN EN 12176:1998-06; DIN ISO 10694:1996-08/DIN EN 13137: 2001-12/DIN EN 15936:2012-11; DIN ISO 11465:1996-12; DIN EN 14346:2007-03; DIN ISO 13536:1997-04; DIN ISO 17892-4:2016; DIN ISO 18287: 2006-05; DIN ISO 22036:2009-06; EDEA; Edelman auger; Effective calcium exchange capacity; Effective cation exchange capacity; Effective magnesium exchange capacity; Effective potassium exchange capacity; Effective sodium ion exchange capacity; Elbe DEM, FLYS3; ElBiota; ElBiota_01_01; ElBiota_01_02; ElBiota_01_03; ElBiota_01_04; ElBiota_01_05; ElBiota_01_06; ElBiota_01_07; ElBiota_01_08; ElBiota_01_09; ElBiota_01_10; ElBiota_01_11; ElBiota_01_12; ElBiota_01_13; ElBiota_01_14; ElBiota_01_15; ElBiota_01_16; ElBiota_01_17; ElBiota_01_18; ElBiota_01_19; ElBiota_01_20; ElBiota_02_01; ElBiota_02_02; ElBiota_02_03; ElBiota_02_04; ElBiota_02_05; ElBiota_02_06; ElBiota_02_07; ElBiota_02_08; ElBiota_02_09; ElBiota_02_10; ElBiota_02_11; ElBiota_02_12; ElBiota_02_13; ElBiota_02_14; ElBiota_02_15; ElBiota_02_16; ElBiota_02_17; ElBiota_02_18; ElBiota_02_19; ElBiota_02_20; ElBiota_03_01; ElBiota_03_02; ElBiota_03_03; ElBiota_03_04; ElBiota_03_05; ElBiota_03_06; ElBiota_03_07; ElBiota_03_08; ElBiota_03_09; ElBiota_03_10; ElBiota_03_11; ElBiota_03_12; ElBiota_03_13; ElBiota_03_14; ElBiota_03_15; ElBiota_03_16; ElBiota_03_17; ElBiota_03_18; ElBiota_03_19; ElBiota_03_20; ElBiota_03_21; ElBiota_03_22; ElBiota_03_23; ElBiota_03_24; ElBiota_03_25; ElBiota_03_26; ElBiota_03_27; ElBiota_03_28; ElBiota_03_29; ElBiota_04_01; ElBiota_04_02; ElBiota_04_03; ElBiota_04_04; ElBiota_04_05; ElBiota_04_06; ElBiota_04_07; ElBiota_04_08; ElBiota_04_09; ElBiota_04_10; ElBiota_04_11; ElBiota_04_12; ElBiota_04_13; ElBiota_04_14; ElBiota_04_15; ElBiota_04_16; ElBiota_04_17; ElBiota_04_18; ElBiota_04_19; ElBiota_04_20; ElBiota_2020; ElBiota - Lateral connectivity and biodiversity of the Elbe floodplains; Elevation, difference; Elevation of event; Elsnig; Euclidean Distance; Event label; Flood duration, annual mean; floodplain; Flow distance; Fluoranthene; Fluorene; gamma-Hexachlorocyclohexane; Hexachlorbutadiene; Hexachlorobenzene; hydflood::flood3; Indeno(1,2,3-cd)pyrene; Inorganic contamination index; Iron, dithionite-solvable; Iron, oxalate-solvable; Jasebeck; Latitude of event; Lead; Length of a COST-based flow path following the Elbe DEM to the wetted area of the floodplain at mean low-flow discharge (MLQ) (FLYS3); Location of event; Longitude of event; Magnesium, plant-available; Manganese, soluble in dithionite; Manganese, soluble in oxalate; Mercury; Moisture index; Multiple linear regression of the concentrations of all analyzed organic pollutants; followed by Normalization step; Multiple linear regression of the concentrations of all analyzed organic pollutants in the 〈63 ¬µm fraction; followed by Normalization step; Multiple linear regression of the concentrations of toxic metals and arsenic; followed by Normalization step; Naphthalene; Nickel; nitrogen, as plant-available ammonium; nitrogen, as plant-available nitrate; Nitrogen, mineral-bound; Nitrogen, total; nutrients; Organic contamination index; ortho,para-Dichlorodiphenyldichloroethane; ortho,para-Dichlorodiphenyldichloroethylene; ortho,para-Dichlorodiphenyltrichloroethane; para,para-Dichlorodiphenyldichloroethane; para,para-Dichlorodiphenyldichloroethylene; para,para-Dichlorodiphenyltrichloroethane; Pentachlorobenzene; pH, soil; Phenanthrene; Phosphorus, plant-available; Phosphorus, total; pollution; Polychlorinated biphenyl 101; Polychlorinated biphenyl 118; Polychlorinated biphenyl 138; Polychlorinated biphenyl 153; Polychlorinated biphenyl 180; Polychlorinated biphenyl 28; Polychlorinated biphenyl 52; Polychlorinated biphenyl sum (pcb_28 + pcb_52 + pcb_101 + pcb_138 + pcb_153 + pcb_180); Potassium, plant-available; Potential calcium exchange capacity; Potential cation exchange capacity; Potential magnesium exchange capacity; Potential potassium exchange capacity; Potential sodium exchange capacity; Pyrene; r.grow.distance; Residue, dry; River kilometer; Schönberg-Deich; Size fraction 〈 0.002 mm, clay; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〈 2.0 mm; Size fraction 0.0063-0.002 mm, fine silt; Size fraction 0.020-0.0063 mm, medium silt; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 0.063-0.020 mm, coarse silt; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.200-0.125 mm, fine sand; Size fraction 0.630-0.200 mm, medium sand; Size fraction 1.000-0.630 mm; Size fraction 2.000-0.630 mm, coarse sand; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand; Size fraction 63-2 mm; Soil; trace- and major elements; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; VDLUFA volume I A 6.2.1.2; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 26835 data points
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  • 85
    Publication Date: 2024-05-21
    Description: This dataset contains planktic foraminifera Trilobatus sacculifer and Dentoglobigerina venezuelana stable oxygen isotopes, Mg/Ca, local seawater δ18O and ΔT estimates from Site NGHP-01-01A, which was recovered by the drill ship JOIDES Resolution (JR) in the Kerala-Konkan Basin in the Eastern Arabian Sea (EAS; 15º18.366' N, 70º54.192' E; 2663 m water depth) during the Indian National Gas Hydrate Program (NGHP) Expedition 01 in 2006 (28.04.-19.08.2006). The data archived here was generated to reconstruct changes of the upper water column structure, i.e., depth of the mixed later and thermocline at Site NGHP-01-01A in the EAS during the middle Miocene in order to study changes in the summer South Asian Monsoon (SAM). The isotopic composition of the planktic foraminifera samples was analysed at the MARUM, University of Bremen, Germany, using a Finnigan MAT 251 mass spectrometer equipped with an automatic line for carbonate preparation (type "Kiel III"). Planktic foraminiferal trace element concentrations were measured using an Inductively Coupled Plasma Optical Emission Spectrophotometer (ICP-OES; Agilent 5110 VDV) at the Center of Major Equipment and Technology (COMET) of the State Key Laboratory of Marine Environmental Science (MEL), Xiamen University. Planktic foraminiferal Mg/Ca ratios were converted to temperature using the the multiple species planktic foraminifera calibration of Anand et al. (2003; doi:10.1029/2002PA000846). To account for past seawater Mg/Ca changes, the D. venezuelana and T. sacculifer Mg/Ca estimates were adjusted for changes in seawater Mg/Ca by modifying the Mg/Ca-temperature calibrations of Anand et al. (2003; doi:10.1029/2002PA000846), following Lear et al. (2015; https://doi.org/10.1002/2015PA002833. Seawater δ18O (δ18Osw) was calculated using the unadjusted and adjusted temperature Mg/Ca-temperature estimates in order to account for past seawater Mg/Ca changes by removing the temperature-driven component of the planktic foraminifera δ18O record. The δ18O-temperature relationship of (Bemis et al., 1998; https://doi.org/10.1029/98PA00070) was used to calculate the δ18Osw estimates. A local record of changes in δ18Osw was derived by subtracting an estimate of middle Miocene ice-volume changes from the δ18Osw record. In order to reconstruct the upper surface water column structure in the EAS, the difference in Mg/Ca-based temperatures (ΔT˚C) of surface-dwelling (Trilobatus sacculifer) and sub-thermocline-dwelling (Dentoglobigerina venezuelana) planktic foraminifera was calculated to estimate the upper ocean thermal gradient. The age model of all provided datasets is based on Yang et al. (2020; doi:10.1029/2020PA003853).
    Keywords: adjusted; Age; Calculated; Calculated after Anand et al., 2003; CDRILL; Core drilling; Dentoglobigerina venezuelana, Magnesium/Calcium ratio; Dentoglobigerina venezuelana, δ18O; DEPTH, sediment/rock; Foraminifera, planktic; Inductively coupled plasma-optical emission spectrometry (ICP-OES), Agilent, 5110 VDV; Mass spectrometer Finnigan MAT 251; NGHP-01-01A; Sea surface temperature; Temperature, difference; Trilobatus sacculifer, Manganese/Calcium ratio; Trilobatus sacculifer, δ18O; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 4085 data points
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  • 86
    Publication Date: 2024-05-21
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO295 were processed to receive a validated master track which can be used as reference of further expedition data. During SO295 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: Course; CT; DAM_Underway; DAM Underway Research Data; DATE/TIME; LATITUDE; LONGITUDE; Nodule Monit. II; SO295; SO295-track; Sonne_2; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 14972 data points
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  • 87
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    Unknown
    PANGAEA
    In:  Senckenberg am Meer, Wilhelmshaven
    Publication Date: 2024-05-21
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO295 were processed to receive a validated master track which can be used as reference of further expedition data. During SO295 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; Nodule Monit. II; SO295; SO295-track; Sonne_2; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 26.5 MBytes
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  • 88
    Publication Date: 2024-05-21
    Description: Brachiopod shells were collected from the scree directly adjacent to the exposures in Madène el Mrakib in order to describe skeletobiont diversity, abundance and colonization patterns, and their relation to host shell morphology. The studied specimens originate from the fossiliferous, thin-bedded, 2.5 m-thick nodular limestone (mudstone to packstone) belonging to Taboumakhloûf Formation and placed at the transition of the uppermost Eifelian (ensensis Zone) and lowermost Givetian (hemiansatus Zone) based on conodont dating. Further details can be found in Zatoń et al. (2022). The brachiopod specimens, both articulated shells and isolated valves, were collected randomly without regard for the presence of skeletobionts. Each brachiopod specimen (separately dorsal and ventral valves) was inspected under a binocular microscope and each skeletobiont was determined to the lowest possible taxonomic level and counted. For colonial organisms, each individual colony was counted as one specimen. Among brachiopod specimens without any skeletobionts only well preserved and articulated shells are included in the dataset. The external surface area of the selected, well-preserved and complete shells of the five dominant brachiopod species was measured using a square-gridded plankton net (1 x 1 cm), with a mesh size of 1 mm2.
    Keywords: Allonema; Anticalyptraeida; Ascodictyon; Auloporida; Bioerosion; Brachiopoda; Brachiopoda indeterminata; Bryozoa indeterminata; Clionolithes; Coenitidae; Cornulitida; Craniidae; Crinoidea; Cyclostomata; Cystoporata; Devonian; Encrustation; Favositida; Fenestrata; Hederelloidea; Light microscope; Madene_el_Mrakib; Madène el Mrakib section, Mader Basin, eastern Anti-Atlas, Morocco; Microconchida; Oichnus; OUTCROP; Outcrop sample; Palaeoecology; Problematica; Productida; Rhabdomesida; Rothpletzella; Rugosa; Sclerobionts; Shell completeness; Shell size; Skeletobionts; Specimen identification; Sponge; Surface area; Surface preservation; Taxon/taxa; Tetrataxis; Tolypammina; Trepostomata; Valve; Vinella
    Type: Dataset
    Format: text/tab-separated-values, 62260 data points
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  • 89
    Publication Date: 2024-05-21
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was not continuously recorded during RV SONNE cruise SO248. Data was recorded on 29 days between 2016-05-01 and 2016-05-31. This dataset contains a transit survey in the Pacific Ocean, mostly from south to north heading, across the antimeridian (+/-180 degrees longitude). The approximate unprocessed depth measurements vary between 7200m and 600m water depth. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Also, data analysis of the multibeam raw data revealed that SVP has been changed occasionally during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Sometimes problems in centre beams can be observed, especially on date 2024-05-07. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2023).
    Keywords: BacGeoPac; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM122; EM122 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Ship speed; SO248; SO248_0_Underway-1; Sonne_2; 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
    Type: Dataset
    Format: text/tab-separated-values, 11296 data points
    Location Call Number Expected Availability
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  • 90
    Publication Date: 2024-05-21
    Description: Raw multibeam bathymetry data were collected aboard RV MARIA S. MERIAN during cruise MSM105 using a Kongsberg EM122 multibeam echosounder. The expedition took place during 11.01.2022 and 23.02.2022 from Walvis Bay (Namibia) - Mindelo (Cape Verde) in the Northern and Central Atlantic Ocean. Data were recorded outside EEZs. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. The main aim of MSM105 was to study the relationships between physical boundary conditions and process rates, microbial activities, and the macrobenthic community in the present and recent past with an interdisciplinary approach within the framework of the BMBF research project EVAR. Acquisition and provision of the data are part of the DAM Underway Project.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); BUSUC II; Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM122; EM122 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM105; MSM105_0_Underway-4; Multibeam; Number of pings; raw data; Ship speed; South Atlantic Ocean; 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
    Type: Dataset
    Format: text/tab-separated-values, 21248 data points
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  • 91
    Publication Date: 2024-05-21
    Description: Current velocities of the upper water column along the cruise track of R/V Sonne II cruise SO295 were collected by a vessel-mounted 38 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 32.00 m, a blanking distance of 16.00 m, and a total of 50 bins, covering the depth range between 54.0 m and 1622.0 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. 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 (-0.0620° +/- 0.4465°) and scale factor (1.0030 +/- 0.0080) 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 following threshold criteria: abs(UC) or abs(VC) 〉 1.5 m/s, rms(UC_z) or rms(VC_z) 〉 0.3.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Nodule Monit. II; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO295; SO295_0_Underway-1; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 1093070 data points
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  • 92
    Publication Date: 2024-05-21
    Description: Oxygen microprofiles were measured using an autonomous benthic lander system. Once the lander had stabilized at the seabed, an array of O2 microelectrodes was vertically moved across the sediment-water interface at a predefined resolution - measurements were recorded at each depth after a delay of a few seconds. When the array had reached the maximum measuring depth, sensors were retracted to the start position, and the array was moved horizontally before the measuring routine was repeated (Glud et al. 2021). Sensor signals were converted into O2 concentrations using a linear calibration curve that was based on measurements in the bottom water of known O2 concentration and measurements in the anoxic sediment layers.
    Keywords: B_LANDER; Bottom lander; Clark type electrochemical Oxygen microsensor; Date/Time of event; Deep sea; DEPTH, sediment/rock; Elevation of event; Event label; HADAL; Hadal lander; Hadal trench; Kermadec trench; Kermadec Trench; Latitude of event; Longitude of event; microsensor; Microsensor concentration profiles; Oxygen; Profile; sediment; Site; Site K2; Site K3; Site K5; Site K6; Site K7; TAN1711; TAN1711_K2-1; TAN1711_K3-1; TAN1711_K4; TAN1711_K5-3; TAN1711_K6-1; TAN1711_K7-1; Tangaroa
    Type: Dataset
    Format: text/tab-separated-values, 77559 data points
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  • 93
    Publication Date: 2024-05-21
    Description: This is the data set that used to re-evaluate submarine landslide deposit underneath the Makassar Strait and to simulate the potential generated tsunami. Submarine landslide re-evaluation was done using 2D seismic lines covering the Makassar North Basin. These lines were acquired in 1998, 1999, 2001, and 2002 by different companies. The seismic lines were stored by Indonesia Data Center and Information Technology (PUSDATIN) of Ministry of Energy and Mineral Resources (ESDM) and used in this research under a cooperation agreement letter number 4.Pj/KS.01/SJD.2/2022. the horizons of the submarine landslide deposits were picked based on Mass Transport Deposit (MTD) Criteria by Posamentier and Martinsen (2010). This process would produce deposits dimension and distribution as an output. The result of re-evaluation was used to simulate the potential tsunami using bathymetry data from Indonesia Geospatial Information Agency (BIG).This data covering the area of Makassar Strait from 1 degN - 3 degS and 116 degE - 120 degE with 185 m resolution and can be accessed freely through BIG website (https://tanahair.indonesia.go.id/demnas/#/batnas). Simulation result was observed using 11 artificial observation station that located on the surrounding coastline. These stations were made so the time series of water elevation change could be observed.
    Keywords: BATNAS; Binary Object; cm01-43; Event label; File content; gl98-016; gl98-054; gl98-067; gl98-110; LATITUDE; Location; LONGITUDE; Makassar Strait; mdd99-050; mdd99-097; mdd99-109; mdd99-115; Raster graphic, GeoTIFF format; SEIS; Seismic; submarine landslide; Text file; tsunami; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 51 data points
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  • 94
    Publication Date: 2024-05-21
    Description: During the HALO-(AC)³ campaign in March-April 2022 airborne observations were performed with the High Altitude LOng range research aircraft (HALO) covering the Fram Strait and north polar regions. The flight tracks covered open ocean areas, the marginal sea ice zone, and closed sea ice cover. Furthermore, cloud conditions were observed during air mass transformation events as marine cold air outbreaks and warm air intrusions. On HALO, thermal infrared radiance, spectrally integrated over the wavelength range from 9.6 µm to 11.5 µm in nadir direction (field of view of 2.3°), was measured by the infrared pyrometer KT19 (model KT19.85 II). The given dataset comprises brightness temperature measurements with a temporal resolution of 20 Hz, provided for 16 HALO research flights (RF) during HALO-(AC)³.
    Keywords: AC; AC3; Aircraft; Arctic Amplification; Atmospheric and Earth System Research with HALO – High Altitude and Long Range Research Aircraft; brightness temperature; Date/Time of event; Event label; HALO; HALO_220313a; HALO_220314a; HALO_220315a; HALO_220316a; HALO_220320a; HALO_220321a; HALO_220328a; HALO_220329a; HALO_220330a; HALO_220401a; HALO_220404a; HALO_220407a; HALO_220408a; HALO_220410a; HALO_220411a; HALO_220412a; HALO_AC3; HALO-(AC)³; Infrared radiation pyrometer, Heitronics, KT19.85II; netCDF file; netCDF file (File Size); Optional event label; RF03; RF04; RF05; RF06; RF07; RF08; RF09; RF10; RF11; RF12; RF13; RF14; RF15; RF16; RF17; RF18; SPP1294
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 95
    Publication Date: 2024-05-21
    Description: This laboratory study assessed how cooling and acidification might affect fouling communities along the South African west coast. Communities were experimentally exposed to two temperatures, 13℃ (current) and 9℃ (cooling), and three pH treatments, 7.9 (current), 7.6 and 7.4, for 18 days. Cooling and acidification altered community structure.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Benthos; Bicarbonate ion; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Community composition and diversity; Coverage; Entire community; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Laboratory experiment; 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); pH; pH, standard deviation; Potentiometric; Potentiometric titration; Rocky-shore community; Saldanha_Bay; Salinity; Salinity, standard deviation; Shannon Diversity Index; South Atlantic; Species; Species richness; Temperate; Temperature; Temperature, water; Temperature, water, standard deviation; Treatment: pH; Treatment: temperature; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 20416 data points
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  • 96
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-05-21
    Description: Raw data acquired by position sensors on board RV Heincke during expedition HE633 were processed to receive a validated master track which can be used as reference of further expedition data. During HE633 the inertial navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. 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; DATE/TIME; HE633; HE633-track; Heincke; LATITUDE; LONGITUDE; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 882 data points
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  • 97
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-05-21
    Description: Raw data acquired by position sensors on board RV Heincke during expedition HE633 were processed to receive a validated master track which can be used as reference of further expedition data. During HE633 the inertial navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. 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; HE633; HE633-track; Heincke; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 11.1 MBytes
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  • 98
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    Unknown
    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 167424 data points
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  • 99
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    Unknown
    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 170888 data points
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  • 100
    facet.materialart.
    Unknown
    PANGAEA
    In:  National Meteorological Office of Algeria
    Publication Date: 2024-05-21
    Keywords: Algeria; Baseline Surface Radiation Network; BSRN; DATE/TIME; HEIGHT above ground; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Eppley, PSP, SN 30123 F3, WRMC No. 42001; Pyrgeometer, Eppley, PIR, SN 32597 F3, WRMC No. 42006; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; TAM; Tamanrasset
    Type: Dataset
    Format: text/tab-separated-values, 170464 data points
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