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Research data keyboard_double_arrow_right Dataset 2023GFZ Data Services EC | HydroSocialExtremes, EC | PerfectSTORM, EC | MYRIAD-EU +7 projectsEC| HydroSocialExtremes ,EC| PerfectSTORM ,EC| MYRIAD-EU ,UKRI| WateR security And climate cHange adaptation in PerUvian glacier-fed river basins (RAHU) ,NWO| Water scarcity under droughts and heatwaves: understanding the complex interplay of water quality and sectoral water use ,NWO| Compound risk of river and coastal floods in global deltas and estuaries ,UKRI| MaRIUS: Managing the Risks, Impacts and Uncertainties of droughts and water Scarcity ,EC| SECurITY ,UKRI| Projecting extreme droughts in rapidly changing human-water systems ,NSF| INFEWS: US-China-Quantifying complex adaptive FEW systems with a coupled agent-based modeling frameworkKreibich, Heidi; Schröter, Kai; Di Baldassarre, Giuliano; Van Loon, Anne; Mazzoleni, Maurizio; Abeshu, Guta Wakbulcho; Agafonova, Svetlana; AghaKouchak, Amir; Aksoy, Hafzullah; Alvarez-Garreton, Camila; Aznar, Blanca; Balkhi, Laila; Barendrecht, Marlies H.; Biancamaria, Sylvain; Bos-Burgering, Liduin; Bradley, Chris; Budiyono, Yus; Buytaert, Wouter; Capewell, Lucinda; Carlson, Hayley; Cavus, Yonca; Couasnon, Anaïs; Coxon, Gemma; Daliakopoulos, Ioannis; de Ruiter, Marleen C.; Delus, Claire; Erfurt, Mathilde; Esposito, Giuseppe; François, Didier; Frappart, Frédéric; Freer, Jim; Frolova, Natalia; Gain, Animesh K; Grillakis, Manolis; Grima, JordiOriol; Guzmán, Diego A.; Huning, Laurie S.; Ionita, Monica; Kharlamov, Maxim; Khoi, Dao Nguyen; Kieboom, Natalie; Kireeva, Maria; Koutroulis, Aristeidis; Lavado-Casimiro, Waldo; Li, Hongyi; LLasat, Maria Carmen; Macdonald, David; Mård, Johanna; Mathew-Richards, Hannah; McKenzie, Andrew; Mejia, Alfonso; Mendiondo, Eduardo Mario; Mens, Marjolein; Mobini, Shifteh; Mohor, Guilherme Samprogna; Nagavciuc, Viorica; Ngo-Duc, Thanh; Nguyen, Huynh Thi Thao; Nhi, Pham Thi Thao; Petrucci, Olga; Quan, Nguyen Hong; Quintana-Seguí, Pere; Razavi, Saman; Ridolfi, Elena; Riegel, Jannik; Sadik, Md Shibly; Sairam, Nivedita; Savelli, Elisa; Sazonov, Alexey; Sharma, Sanjib; Sörensen, Johanna; Souza, Felipe Augusto Arguello; Stahl, Kerstin; Steinhausen, Max; Stoelzle, Michael; Szalińska, Wiwiana; Tang, Qiuhong; Tian, Fuqiang; Tokarczyk, Tamara; Tovar, Carolina; Tran, Thi Van Thu; van Huijgevoort, Marjolein H.J.; van Vliet, Michelle T.H.; Vorogushyn, Sergiy; Wagener, Thorsten; Wang, Yueling; Wendt, Doris E.; Wickham, Elliot; Yang, Long; Zambrano-Bigiarini, Mauricio; Ward, Philip J.;As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2023-001_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPANGAEA UKRI | Dissecting, and revealing..., UKRI | How important is prokaryo..., EC | GREENSEAS +2 projectsUKRI| Dissecting, and revealing the controls on, the group-specific CO2 fixation budget of the Atlantic Ocean ,UKRI| How important is prokaryotic photoheterotrophy in ecosystems of the Atlantic Ocean from 40oS to 40oN? ,EC| GREENSEAS ,UKRI| Do mixotrophic protists make oligotrophic oceanic gyres sustainable ecosystems? ,UKRI| How important is prokaryotic photoheterotrophy in ecosystems of the Atlantic Ocean from 40oS to 40oN?Gomez-Pereira, Paola R; Hartmann, Manuela; Grob, C; Tarran, Glen A; Martin, Adrian Peter; Fuchs, Bernhard M; Scanlan, David J; Zubkov, Mikhail V;Subtropical oceanic gyres are the most extensive biomes on Earth where SAR11 and Prochlorococcus bacterioplankton numerically dominate the surface waters depleted in inorganic macronutrients as well as in dissolved organic matter. In such nutrient poor conditions bacterioplankton could become photoheterotrophic. We assessed the photoheterotrophy of the key microbial taxa in the North Atlantic oligotrophic gyre and adjacent regions. The experimental work was performed on board the Royal Research Ship James Cook (cruise no. JC53, October-November 2010) as part of the Atlantic Meridional Transect programme, and on board the Royal Research Ship Discovery (cruise no. D369, August-September 2011). At each station, samples were collected from 20m depth with a sampling rosette of 20-l Niskin bottles mounted on aconductivity-temperature-depth profiler. Samples were collected in 1 l thermos flasks (washed with10% v/v HCl) in the dark and processed immediately. Depth of 20m was chosen because it represents the mixed layer and it was the shallowest depth unaffected by the ship's movement, including thrusting, that could artificially affect microbial metabolism in nutrient-depleted stratified surfacewaters. Molecular identification of flow-sorted cells CARD-FISH was performed on flow-sorted cells to identify the groups for which uptake rates were measured. High nucleic acid-containing bacteria, based on SYBR Green DNA staining, that had virtually undetectable chlorophyll autofluorescence, were phylogenetically affiliated with Prochlorococcus,in agreement with our previously reported results (Zubkov et al., 2007; doi:10.1111/j.1462-2920.2007.01324.x). Supplement to: Gomez-Pereira, Paola R; Hartmann, Manuela; Grob, C; Tarran, Glen A; Martin, Adrian Peter; Fuchs, Bernhard M; Scanlan, David J; Zubkov, Mikhail V (2012): Comparable light stimulation of organic nutrient uptake by SAR11 and Prochlorococcus in the North Atlantic subtropical gyre. The ISME Journal, 7(3), 603-614
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022Mendeley UKRI | DFT+mu: a step change in ...UKRI| DFT+mu: a step change in muon spectroscopyAuthors: John Ballantyne;John Ballantyne;Significant progress has recently been made in calculating muon stopping sites using density functional theory. The technique aims to address two of the most common criticisms of the muon-spin spectroscopy (μ^+ SR) technique, namely, where in the sample does the muon stop, and what is its effect on its local environment. We have designed and developed a program called MuFinder that enables users to carry out these calculations through a simple graphical user interface (GUI). The procedure for calculating muon sites by generating initial muon positions, relaxing the structures, and then clustering and analysing the resulting candidate sites, can be done entirely within the GUI. The local magnetic field at the muon site can also be computed, allowing the connection between the muon sites obtained and experiment to be made. MuFinder will make these computations significantly more accessible to non-experts and help to establish muon site calculations as a routine part of μ^+ SR experiments. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA EC | ICORDA, UKRI | ISO-THERM: Isotopic testi..., EC | Beyond EPICAEC| ICORDA ,UKRI| ISO-THERM: Isotopic testing of Earth's weathering thermostat ,EC| Beyond EPICACrotti, Ilaria; Quiquet, Aurélien; Landais, Amaëlle; Stenni, Barbara; Wilson, David; Severi, Mirko; Mulvaney, Rob; Wilhelms, Frank; Barbante, Carlo; Frezzotti, Massimo;The data here described are presented in the submitted paper Response of the Wilkes Subglacial Basin Ice Sheet to Southern Ocean Warming During Late Pleistocene Interglacials by Crotti et al. This data set includes new high resolution measurements of d-excess, d18O and ssNa+ for the Antarctic TALDICE ice core (Latitude: -72.783330, Longitude: 159.066670, Elevation: 2315.0 m). The new data set covers the interglacials periods of MIS 5.5, MIS 7.5 and MIS 9.3 (1486 m depth - 1548 m depth). The data are drawn on the TALDICE deep1 chronology (Crotti et al. 2021). The d-excess (d = δD − 8 × δ18O) (permill) record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 5.5. Between 1378.5 and 1421.65 m depth, 110-135 ka • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The d18O record (permill) covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The ssNa+ fluxes record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 8 cm resolution and pans the following age-depths intervals: • MIS 7.5. Between 1521.81 and 1524.54 m depth, 243-248 ka • MIS 9.3. Between 1541.73 and 1547.96 m depth, 320-343 ka The d18O and dD (non presented here) to calculate the d-excess were analysed in Italy (University of Venice) and France (LSCE) using the Cavity Ring Down Spectroscopy (CRDS) technique. Analyses were performed using a Picarro isotope water analyser (L2130-i version for both laboratories). The data were calibrated using a three-point linear calibration with three lab-standards that were themselves calibrated versus Standard Mean Ocean Water (SMOW). The average precision for the δ18O and δD measurements is 0.1 and 0.7 ‰, respectively. The concentrations of ssNa+ were measured on TALDICE ice samples at 8 cm resolution by classical ion chromatography on discrete samples collected using a melting device connected to an auto-sampler for the MIS 7.5 and MIS 9.3 whereas Continuous Flow Analysis (CFA) was applied for MIS 5.5 samples. The total deposition ssNa+ flux was calculated multiplying the measured ice concentration of ssNa+ by the reconstructed accumulation rate. The accumulation rates were derived from the accumulation rates were obtained from the TALDICE deep1 age scale (Crotti et al. 2021).
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA UKRI | ISO-THERM: Isotopic testi..., EC | Beyond EPICA, EC | ICORDAUKRI| ISO-THERM: Isotopic testing of Earth's weathering thermostat ,EC| Beyond EPICA ,EC| ICORDACrotti, Ilaria; Quiquet, Aurélien; Landais, Amaëlle; Stenni, Barbara; Wilson, David; Severi, Mirko; Mulvaney, Rob; Wilhelms, Frank; Barbante, Carlo; Frezzotti, Massimo;The data here described are presented in the submitted paper Response of the Wilkes Subglacial Basin Ice Sheet to Southern Ocean Warming During Late Pleistocene Interglacials by Crotti et al. This data set includes new high resolution measurements of d-excess, d18O and ssNa+ for the Antarctic TALDICE ice core (Latitude: -72.783330, Longitude: 159.066670, Elevation: 2315.0 m). The new data set covers the interglacials periods of MIS 5.5, MIS 7.5 and MIS 9.3 (1486 m depth - 1548 m depth). The data are drawn on the TALDICE deep1 chronology (Crotti et al. 2021). The d-excess (d = δD − 8 × δ18O) (permill) record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 5.5. Between 1378.5 and 1421.65 m depth, 110-135 ka • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The d18O record (permill) covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The ssNa+ fluxes record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 8 cm resolution and pans the following age-depths intervals: • MIS 7.5. Between 1521.81 and 1524.54 m depth, 243-248 ka • MIS 9.3. Between 1541.73 and 1547.96 m depth, 320-343 ka The d18O and dD (non presented here) to calculate the d-excess were analysed in Italy (University of Venice) and France (LSCE) using the Cavity Ring Down Spectroscopy (CRDS) technique. Analyses were performed using a Picarro isotope water analyser (L2130-i version for both laboratories). The data were calibrated using a three-point linear calibration with three lab-standards that were themselves calibrated versus Standard Mean Ocean Water (SMOW). The average precision for the δ18O and δD measurements is 0.1 and 0.7 ‰, respectively. The concentrations of ssNa+ were measured on TALDICE ice samples at 8 cm resolution by classical ion chromatography on discrete samples collected using a melting device connected to an auto-sampler for the MIS 7.5 and MIS 9.3 whereas Continuous Flow Analysis (CFA) was applied for MIS 5.5 samples. The total deposition ssNa+ flux was calculated multiplying the measured ice concentration of ssNa+ by the reconstructed accumulation rate. The accumulation rates were derived from the accumulation rates were obtained from the TALDICE deep1 age scale (Crotti et al. 2021).
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA EC | Beyond EPICA, EC | ICORDA, UKRI | ISO-THERM: Isotopic testi...EC| Beyond EPICA ,EC| ICORDA ,UKRI| ISO-THERM: Isotopic testing of Earth's weathering thermostatCrotti, Ilaria; Quiquet, Aurélien; Landais, Amaëlle; Stenni, Barbara; Wilson, David; Severi, Mirko; Mulvaney, Rob; Wilhelms, Frank; Barbante, Carlo; Frezzotti, Massimo;The data here described are presented in the submitted paper Response of the Wilkes Subglacial Basin Ice Sheet to Southern Ocean Warming During Late Pleistocene Interglacials by Crotti et al. This data set includes new high resolution measurements of d-excess, d18O and ssNa+ for the Antarctic TALDICE ice core (Latitude: -72.783330, Longitude: 159.066670, Elevation: 2315.0 m). The new data set covers the interglacials periods of MIS 5.5, MIS 7.5 and MIS 9.3 (1486 m depth - 1548 m depth). The data are drawn on the TALDICE deep1 chronology (Crotti et al. 2021). The d-excess (d = δD − 8 × δ18O) (permill) record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 5.5. Between 1378.5 and 1421.65 m depth, 110-135 ka • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The d18O record (permill) covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The ssNa+ fluxes record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 8 cm resolution and pans the following age-depths intervals: • MIS 7.5. Between 1521.81 and 1524.54 m depth, 243-248 ka • MIS 9.3. Between 1541.73 and 1547.96 m depth, 320-343 ka The d18O and dD (non presented here) to calculate the d-excess were analysed in Italy (University of Venice) and France (LSCE) using the Cavity Ring Down Spectroscopy (CRDS) technique. Analyses were performed using a Picarro isotope water analyser (L2130-i version for both laboratories). The data were calibrated using a three-point linear calibration with three lab-standards that were themselves calibrated versus Standard Mean Ocean Water (SMOW). The average precision for the δ18O and δD measurements is 0.1 and 0.7 ‰, respectively. The concentrations of ssNa+ were measured on TALDICE ice samples at 8 cm resolution by classical ion chromatography on discrete samples collected using a melting device connected to an auto-sampler for the MIS 7.5 and MIS 9.3 whereas Continuous Flow Analysis (CFA) was applied for MIS 5.5 samples. The total deposition ssNa+ flux was calculated multiplying the measured ice concentration of ssNa+ by the reconstructed accumulation rate. The accumulation rates were derived from the accumulation rates were obtained from the TALDICE deep1 age scale (Crotti et al. 2021).
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Collection 2022 EnglishPANGAEA UKRI | ISO-THERM: Isotopic testi..., EC | ICORDAUKRI| ISO-THERM: Isotopic testing of Earth's weathering thermostat ,EC| ICORDACrotti, Ilaria; Quiquet, Aurélien; Landais, Amaëlle; Stenni, Barbara; Wilson, David; Severi, Mirko; Mulvaney, Rob; Wilhelms, Frank; Barbante, Carlo; Frezzotti, Massimo;The data here described are presented in the submitted paper Response of the Wilkes Subglacial Basin Ice Sheet to Southern Ocean Warming During Late Pleistocene Interglacials by Crotti et al. This data set includes new high resolution measurements of d-excess, d18O and ssNa+ for the Antarctic TALDICE ice core (Latitude: -72.783330, Longitude: 159.066670, Elevation: 2315.0 m). The new data set covers the interglacials periods of MIS 5.5, MIS 7.5 and MIS 9.3 (1486 m depth - 1548 m depth). The data are drawn on the TALDICE deep1 chronology (Crotti et al. 2021). The d-excess (d = δD − 8 × δ18O) (permill) record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 5.5. Between 1378.5 and 1421.65 m depth, 110-135 ka • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The d18O record (permill) covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The ssNa+ fluxes record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 8 cm resolution and pans the following age-depths intervals: • MIS 7.5. Between 1521.81 and 1524.54 m depth, 243-248 ka • MIS 9.3. Between 1541.73 and 1547.96 m depth, 320-343 ka The d18O and dD (non presented here) to calculate the d-excess were analysed in Italy (University of Venice) and France (LSCE) using the Cavity Ring Down Spectroscopy (CRDS) technique. Analyses were performed using a Picarro isotope water analyser (L2130-i version for both laboratories). The data were calibrated using a three-point linear calibration with three lab-standards that were themselves calibrated versus Standard Mean Ocean Water (SMOW). The average precision for the δ18O and δD measurements is 0.1 and 0.7 ‰, respectively. The concentrations of ssNa+ were measured on TALDICE ice samples at 8 cm resolution by classical ion chromatography on discrete samples collected using a melting device connected to an auto-sampler for the MIS 7.5 and MIS 9.3 whereas Continuous Flow Analysis (CFA) was applied for MIS 5.5 samples. The total deposition ssNa+ flux was calculated multiplying the measured ice concentration of ssNa+ by the reconstructed accumulation rate. The accumulation rates were derived from the accumulation rates were obtained from the TALDICE deep1 age scale (Crotti et al. 2021).
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA EC | ICORDA, UKRI | ISO-THERM: Isotopic testi..., EC | Beyond EPICAEC| ICORDA ,UKRI| ISO-THERM: Isotopic testing of Earth's weathering thermostat ,EC| Beyond EPICACrotti, Ilaria; Quiquet, Aurélien; Landais, Amaëlle; Stenni, Barbara; Wilson, David; Severi, Mirko; Mulvaney, Rob; Wilhelms, Frank; Barbante, Carlo; Frezzotti, Massimo;The data here described are presented in the submitted paper Response of the Wilkes Subglacial Basin Ice Sheet to Southern Ocean Warming During Late Pleistocene Interglacials by Crotti et al. This data set includes new high resolution measurements of d-excess, d18O and ssNa+ for the Antarctic TALDICE ice core (Latitude: -72.783330, Longitude: 159.066670, Elevation: 2315.0 m). The new data set covers the interglacials periods of MIS 5.5, MIS 7.5 and MIS 9.3 (1486 m depth - 1548 m depth). The data are drawn on the TALDICE deep1 chronology (Crotti et al. 2021). The d-excess (d = δD − 8 × δ18O) (permill) record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 5.5. Between 1378.5 and 1421.65 m depth, 110-135 ka • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The d18O record (permill) covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The ssNa+ fluxes record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 8 cm resolution and pans the following age-depths intervals: • MIS 7.5. Between 1521.81 and 1524.54 m depth, 243-248 ka • MIS 9.3. Between 1541.73 and 1547.96 m depth, 320-343 ka The d18O and dD (non presented here) to calculate the d-excess were analysed in Italy (University of Venice) and France (LSCE) using the Cavity Ring Down Spectroscopy (CRDS) technique. Analyses were performed using a Picarro isotope water analyser (L2130-i version for both laboratories). The data were calibrated using a three-point linear calibration with three lab-standards that were themselves calibrated versus Standard Mean Ocean Water (SMOW). The average precision for the δ18O and δD measurements is 0.1 and 0.7 ‰, respectively. The concentrations of ssNa+ were measured on TALDICE ice samples at 8 cm resolution by classical ion chromatography on discrete samples collected using a melting device connected to an auto-sampler for the MIS 7.5 and MIS 9.3 whereas Continuous Flow Analysis (CFA) was applied for MIS 5.5 samples. The total deposition ssNa+ flux was calculated multiplying the measured ice concentration of ssNa+ by the reconstructed accumulation rate. The accumulation rates were derived from the accumulation rates were obtained from the TALDICE deep1 age scale (Crotti et al. 2021).
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA UKRI | ISO-THERM: Isotopic testi..., SNSF | Climate and Environmental..., EC | ICORDA +1 projectsUKRI| ISO-THERM: Isotopic testing of Earth's weathering thermostat ,SNSF| Climate and Environmental Physics ,EC| ICORDA ,EC| PAST4FUTURECrotti, Ilaria; Quiquet, Aurélien; Landais, Amaëlle; Stenni, Barbara; Wilson, David; Severi, Mirko; Mulvaney, Rob; Wilhelms, Frank; Barbante, Carlo; Frezzotti, Massimo;This data set displays a refined age scale for the U1361A marine sediment core (64.41°S, 143.89°E, 3,454 m water depth), recovered from the continental rise offshore of the Wilkes Subglacial Basin, during the Integrated Ocean Drilling Program (IODP) Expedition (Escutia et al. 2011). This age scale is a refined version of the age scale published in Wilson et al. 2018. Here we use the AICC2012 ice core chronology as a reference curve in order to compare the late Pleistocene sediment core data from U1361A to the TALDICE ice core record. Specifically, we refine the existing U1361A age model through the alignment of barium/aluminium (Ba/Al) ratios from XRF-scanning7 with the EDC δD record on the AICC2012 age scale. We apply a conservative tuning strategy to align the two records, using tie points (derived by visual matching) only at the mid-points of the major glacial terminations I-V. Over the interval of interest for the present study (i.e. ~100-350 ka), the new age model for core U1361 differs by only 0 to 6 ka compared to the previous age model in which the sedimentation rate was assumed to be constant. The Nd and IBRD (ice rafted debris) and 143 Nd/144 Nd records for the U1361A published in Wilson et al. (2018) are drawn on the refined age scale. IBRD was measured by weighing after wet-sievingIBRD (ire rafted debris) and 143Nd/144Nd records of the U1361A sediment core (Wilson et al. 2018) drawn of the refined age scale tuned on the AICC2012 chronology for EDC (Bazin et al. 2013)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA EC | ICORDA, UKRI | ISO-THERM: Isotopic testi..., EC | Beyond EPICAEC| ICORDA ,UKRI| ISO-THERM: Isotopic testing of Earth's weathering thermostat ,EC| Beyond EPICACrotti, Ilaria; Quiquet, Aurélien; Landais, Amaëlle; Stenni, Barbara; Wilson, David; Severi, Mirko; Mulvaney, Rob; Wilhelms, Frank; Barbante, Carlo; Frezzotti, Massimo;The data here described are presented in the submitted paper Response of the Wilkes Subglacial Basin Ice Sheet to Southern Ocean Warming During Late Pleistocene Interglacials by Crotti et al. This data set includes new high resolution measurements of d-excess, d18O and ssNa+ for the Antarctic TALDICE ice core (Latitude: -72.783330, Longitude: 159.066670, Elevation: 2315.0 m). The new data set covers the interglacials periods of MIS 5.5, MIS 7.5 and MIS 9.3 (1486 m depth - 1548 m depth). The data are drawn on the TALDICE deep1 chronology (Crotti et al. 2021). The d-excess (d = δD − 8 × δ18O) (permill) record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 5.5. Between 1378.5 and 1421.65 m depth, 110-135 ka • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The d18O record (permill) covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The ssNa+ fluxes record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 8 cm resolution and pans the following age-depths intervals: • MIS 7.5. Between 1521.81 and 1524.54 m depth, 243-248 ka • MIS 9.3. Between 1541.73 and 1547.96 m depth, 320-343 ka The d18O and dD (non presented here) to calculate the d-excess were analysed in Italy (University of Venice) and France (LSCE) using the Cavity Ring Down Spectroscopy (CRDS) technique. Analyses were performed using a Picarro isotope water analyser (L2130-i version for both laboratories). The data were calibrated using a three-point linear calibration with three lab-standards that were themselves calibrated versus Standard Mean Ocean Water (SMOW). The average precision for the δ18O and δD measurements is 0.1 and 0.7 ‰, respectively. The concentrations of ssNa+ were measured on TALDICE ice samples at 8 cm resolution by classical ion chromatography on discrete samples collected using a melting device connected to an auto-sampler for the MIS 7.5 and MIS 9.3 whereas Continuous Flow Analysis (CFA) was applied for MIS 5.5 samples. The total deposition ssNa+ flux was calculated multiplying the measured ice concentration of ssNa+ by the reconstructed accumulation rate. The accumulation rates were derived from the accumulation rates were obtained from the TALDICE deep1 age scale (Crotti et al. 2021).
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Research data keyboard_double_arrow_right Dataset 2023GFZ Data Services EC | HydroSocialExtremes, EC | PerfectSTORM, EC | MYRIAD-EU +7 projectsEC| HydroSocialExtremes ,EC| PerfectSTORM ,EC| MYRIAD-EU ,UKRI| WateR security And climate cHange adaptation in PerUvian glacier-fed river basins (RAHU) ,NWO| Water scarcity under droughts and heatwaves: understanding the complex interplay of water quality and sectoral water use ,NWO| Compound risk of river and coastal floods in global deltas and estuaries ,UKRI| MaRIUS: Managing the Risks, Impacts and Uncertainties of droughts and water Scarcity ,EC| SECurITY ,UKRI| Projecting extreme droughts in rapidly changing human-water systems ,NSF| INFEWS: US-China-Quantifying complex adaptive FEW systems with a coupled agent-based modeling frameworkKreibich, Heidi; Schröter, Kai; Di Baldassarre, Giuliano; Van Loon, Anne; Mazzoleni, Maurizio; Abeshu, Guta Wakbulcho; Agafonova, Svetlana; AghaKouchak, Amir; Aksoy, Hafzullah; Alvarez-Garreton, Camila; Aznar, Blanca; Balkhi, Laila; Barendrecht, Marlies H.; Biancamaria, Sylvain; Bos-Burgering, Liduin; Bradley, Chris; Budiyono, Yus; Buytaert, Wouter; Capewell, Lucinda; Carlson, Hayley; Cavus, Yonca; Couasnon, Anaïs; Coxon, Gemma; Daliakopoulos, Ioannis; de Ruiter, Marleen C.; Delus, Claire; Erfurt, Mathilde; Esposito, Giuseppe; François, Didier; Frappart, Frédéric; Freer, Jim; Frolova, Natalia; Gain, Animesh K; Grillakis, Manolis; Grima, JordiOriol; Guzmán, Diego A.; Huning, Laurie S.; Ionita, Monica; Kharlamov, Maxim; Khoi, Dao Nguyen; Kieboom, Natalie; Kireeva, Maria; Koutroulis, Aristeidis; Lavado-Casimiro, Waldo; Li, Hongyi; LLasat, Maria Carmen; Macdonald, David; Mård, Johanna; Mathew-Richards, Hannah; McKenzie, Andrew; Mejia, Alfonso; Mendiondo, Eduardo Mario; Mens, Marjolein; Mobini, Shifteh; Mohor, Guilherme Samprogna; Nagavciuc, Viorica; Ngo-Duc, Thanh; Nguyen, Huynh Thi Thao; Nhi, Pham Thi Thao; Petrucci, Olga; Quan, Nguyen Hong; Quintana-Seguí, Pere; Razavi, Saman; Ridolfi, Elena; Riegel, Jannik; Sadik, Md Shibly; Sairam, Nivedita; Savelli, Elisa; Sazonov, Alexey; Sharma, Sanjib; Sörensen, Johanna; Souza, Felipe Augusto Arguello; Stahl, Kerstin; Steinhausen, Max; Stoelzle, Michael; Szalińska, Wiwiana; Tang, Qiuhong; Tian, Fuqiang; Tokarczyk, Tamara; Tovar, Carolina; Tran, Thi Van Thu; van Huijgevoort, Marjolein H.J.; van Vliet, Michelle T.H.; Vorogushyn, Sergiy; Wagener, Thorsten; Wang, Yueling; Wendt, Doris E.; Wickham, Elliot; Yang, Long; Zambrano-Bigiarini, Mauricio; Ward, Philip J.;As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2023-001_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPANGAEA UKRI | Dissecting, and revealing..., UKRI | How important is prokaryo..., EC | GREENSEAS +2 projectsUKRI| Dissecting, and revealing the controls on, the group-specific CO2 fixation budget of the Atlantic Ocean ,UKRI| How important is prokaryotic photoheterotrophy in ecosystems of the Atlantic Ocean from 40oS to 40oN? ,EC| GREENSEAS ,UKRI| Do mixotrophic protists make oligotrophic oceanic gyres sustainable ecosystems? ,UKRI| How important is prokaryotic photoheterotrophy in ecosystems of the Atlantic Ocean from 40oS to 40oN?Gomez-Pereira, Paola R; Hartmann, Manuela; Grob, C; Tarran, Glen A; Martin, Adrian Peter; Fuchs, Bernhard M; Scanlan, David J; Zubkov, Mikhail V;Subtropical oceanic gyres are the most extensive biomes on Earth where SAR11 and Prochlorococcus bacterioplankton numerically dominate the surface waters depleted in inorganic macronutrients as well as in dissolved organic matter. In such nutrient poor conditions bacterioplankton could become photoheterotrophic. We assessed the photoheterotrophy of the key microbial taxa in the North Atlantic oligotrophic gyre and adjacent regions. The experimental work was performed on board the Royal Research Ship James Cook (cruise no. JC53, October-November 2010) as part of the Atlantic Meridional Transect programme, and on board the Royal Research Ship Discovery (cruise no. D369, August-September 2011). At each station, samples were collected from 20m depth with a sampling rosette of 20-l Niskin bottles mounted on aconductivity-temperature-depth profiler. Samples were collected in 1 l thermos flasks (washed with10% v/v HCl) in the dark and processed immediately. Depth of 20m was chosen because it represents the mixed layer and it was the shallowest depth unaffected by the ship's movement, including thrusting, that could artificially affect microbial metabolism in nutrient-depleted stratified surfacewaters. Molecular identification of flow-sorted cells CARD-FISH was performed on flow-sorted cells to identify the groups for which uptake rates were measured. High nucleic acid-containing bacteria, based on SYBR Green DNA staining, that had virtually undetectable chlorophyll autofluorescence, were phylogenetically affiliated with Prochlorococcus,in agreement with our previously reported results (Zubkov et al., 2007; doi:10.1111/j.1462-2920.2007.01324.x). Supplement to: Gomez-Pereira, Paola R; Hartmann, Manuela; Grob, C; Tarran, Glen A; Martin, Adrian Peter; Fuchs, Bernhard M; Scanlan, David J; Zubkov, Mikhail V (2012): Comparable light stimulation of organic nutrient uptake by SAR11 and Prochlorococcus in the North Atlantic subtropical gyre. The ISME Journal, 7(3), 603-614
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022Mendeley UKRI | DFT+mu: a step change in ...UKRI| DFT+mu: a step change in muon spectroscopyAuthors: John Ballantyne;John Ballantyne;Significant progress has recently been made in calculating muon stopping sites using density functional theory. The technique aims to address two of the most common criticisms of the muon-spin spectroscopy (μ^+ SR) technique, namely, where in the sample does the muon stop, and what is its effect on its local environment. We have designed and developed a program called MuFinder that enables users to carry out these calculations through a simple graphical user interface (GUI). The procedure for calculating muon sites by generating initial muon positions, relaxing the structures, and then clustering and analysing the resulting candidate sites, can be done entirely within the GUI. The local magnetic field at the muon site can also be computed, allowing the connection between the muon sites obtained and experiment to be made. MuFinder will make these computations significantly more accessible to non-experts and help to establish muon site calculations as a routine part of μ^+ SR experiments. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA EC | ICORDA, UKRI | ISO-THERM: Isotopic testi..., EC | Beyond EPICAEC| ICORDA ,UKRI| ISO-THERM: Isotopic testing of Earth's weathering thermostat ,EC| Beyond EPICACrotti, Ilaria; Quiquet, Aurélien; Landais, Amaëlle; Stenni, Barbara; Wilson, David; Severi, Mirko; Mulvaney, Rob; Wilhelms, Frank; Barbante, Carlo; Frezzotti, Massimo;The data here described are presented in the submitted paper Response of the Wilkes Subglacial Basin Ice Sheet to Southern Ocean Warming During Late Pleistocene Interglacials by Crotti et al. This data set includes new high resolution measurements of d-excess, d18O and ssNa+ for the Antarctic TALDICE ice core (Latitude: -72.783330, Longitude: 159.066670, Elevation: 2315.0 m). The new data set covers the interglacials periods of MIS 5.5, MIS 7.5 and MIS 9.3 (1486 m depth - 1548 m depth). The data are drawn on the TALDICE deep1 chronology (Crotti et al. 2021). The d-excess (d = δD − 8 × δ18O) (permill) record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 5.5. Between 1378.5 and 1421.65 m depth, 110-135 ka • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The d18O record (permill) covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The ssNa+ fluxes record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 8 cm resolution and pans the following age-depths intervals: • MIS 7.5. Between 1521.81 and 1524.54 m depth, 243-248 ka • MIS 9.3. Between 1541.73 and 1547.96 m depth, 320-343 ka The d18O and dD (non presented here) to calculate the d-excess were analysed in Italy (University of Venice) and France (LSCE) using the Cavity Ring Down Spectroscopy (CRDS) technique. Analyses were performed using a Picarro isotope water analyser (L2130-i version for both laboratories). The data were calibrated using a three-point linear calibration with three lab-standards that were themselves calibrated versus Standard Mean Ocean Water (SMOW). The average precision for the δ18O and δD measurements is 0.1 and 0.7 ‰, respectively. The concentrations of ssNa+ were measured on TALDICE ice samples at 8 cm resolution by classical ion chromatography on discrete samples collected using a melting device connected to an auto-sampler for the MIS 7.5 and MIS 9.3 whereas Continuous Flow Analysis (CFA) was applied for MIS 5.5 samples. The total deposition ssNa+ flux was calculated multiplying the measured ice concentration of ssNa+ by the reconstructed accumulation rate. The accumulation rates were derived from the accumulation rates were obtained from the TALDICE deep1 age scale (Crotti et al. 2021).
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1594/pangaea.941835&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA UKRI | ISO-THERM: Isotopic testi..., EC | Beyond EPICA, EC | ICORDAUKRI| ISO-THERM: Isotopic testing of Earth's weathering thermostat ,EC| Beyond EPICA ,EC| ICORDACrotti, Ilaria; Quiquet, Aurélien; Landais, Amaëlle; Stenni, Barbara; Wilson, David; Severi, Mirko; Mulvaney, Rob; Wilhelms, Frank; Barbante, Carlo; Frezzotti, Massimo;The data here described are presented in the submitted paper Response of the Wilkes Subglacial Basin Ice Sheet to Southern Ocean Warming During Late Pleistocene Interglacials by Crotti et al. This data set includes new high resolution measurements of d-excess, d18O and ssNa+ for the Antarctic TALDICE ice core (Latitude: -72.783330, Longitude: 159.066670, Elevation: 2315.0 m). The new data set covers the interglacials periods of MIS 5.5, MIS 7.5 and MIS 9.3 (1486 m depth - 1548 m depth). The data are drawn on the TALDICE deep1 chronology (Crotti et al. 2021). The d-excess (d = δD − 8 × δ18O) (permill) record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 5.5. Between 1378.5 and 1421.65 m depth, 110-135 ka • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The d18O record (permill) covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The ssNa+ fluxes record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 8 cm resolution and pans the following age-depths intervals: • MIS 7.5. Between 1521.81 and 1524.54 m depth, 243-248 ka • MIS 9.3. Between 1541.73 and 1547.96 m depth, 320-343 ka The d18O and dD (non presented here) to calculate the d-excess were analysed in Italy (University of Venice) and France (LSCE) using the Cavity Ring Down Spectroscopy (CRDS) technique. Analyses were performed using a Picarro isotope water analyser (L2130-i version for both laboratories). The data were calibrated using a three-point linear calibration with three lab-standards that were themselves calibrated versus Standard Mean Ocean Water (SMOW). The average precision for the δ18O and δD measurements is 0.1 and 0.7 ‰, respectively. The concentrations of ssNa+ were measured on TALDICE ice samples at 8 cm resolution by classical ion chromatography on discrete samples collected using a melting device connected to an auto-sampler for the MIS 7.5 and MIS 9.3 whereas Continuous Flow Analysis (CFA) was applied for MIS 5.5 samples. The total deposition ssNa+ flux was calculated multiplying the measured ice concentration of ssNa+ by the reconstructed accumulation rate. The accumulation rates were derived from the accumulation rates were obtained from the TALDICE deep1 age scale (Crotti et al. 2021).
PANGAEA; PANGAEA - D... arrow_drop_down