Resultados totales (Incluyendo duplicados): 44828
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/167757
Dataset. 2018

DATASET OF GLASS AND MINERAL GEOCHEMICAL DATA OF HOLOCENE VOLCANIC ASHES OF NW ARGENTINA

  • Fernandez-Turiel, J. L.
  • Rejas, Marta
  • Pérez Torrado, Francisco José
  • Saavedra Alonso, Julio
  • Rodriguez-Gonzalez, Alejandro
Analytical results were determined by a CAMECA SX-50 and a JEOL JXA-8230 electron probe microanalysers (EPMA) at the EPMA Laboratory of the CCiT services of the University of Barcelona. The instruments were calibrated using primary natural and synthetic standards. The quality of mineral analyses was reviewed, verifying that the structural formula gave a correct stoichiometry, with specific measuring programs for feldspars, biotite, Fe–Ti oxides, pyroxene, and amphibole.Contact person: Fernandez-Turiel, J. L., jlfernandez@ictja.csic.es, Groundmass glass, phenocrysts, microphenocrysts, and microlites of glass shards (1011 analyses at single points), feldspars (568), biotites (183), Fe–Ti oxides (101), amphiboles (30), and pyroxenes (14) were analysed on polished thin sections of Holocene volcanic ashes, ignimbrites and lava domes of Southern Puna and neighbouring areas (NW Argentina) by electron probe microanalyser (EPMA). The quality of mineral analyses was reviewed, verifying that the structural formula gave a correct stoichiometry with specific measuring programs for feldspars, biotite, Fe–Ti oxides, pyroxene, and amphibole. Geothermobarometry was constrained using the chemistry of feldspars, Fe–Ti oxides, clinopyroxene, and amphibole. The studied volcanic materials are mainly associated with the 4.2 ka cal BP eruption of the Cerro Blanco Volcanic Complex., MINECO, CGL2011–23307, No

Proyecto: //
DOI: http://hdl.handle.net/10261/167757
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/167757
HANDLE: http://hdl.handle.net/10261/167757
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/167757
PMID: http://hdl.handle.net/10261/167757
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/167757
Ver en: http://hdl.handle.net/10261/167757
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/167757

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/167764
Dataset. 2018

DATASET OF PARTICLE SIZE DISTRIBUTION DATA OF HOLOCENE VOLCANIC ASHES OF NW ARGENTINA

  • Fernandez-Turiel, J. L.
  • Rejas, Marta
  • Pérez Torrado, Francisco José
  • Saavedra Alonso, Julio
  • Rodriguez-Gonzalez, Alejandro
Grain size distributions were determined in volcanic ash samples using a Malvern Mastersizer 2000 particle analyser, equipped with a laser diffractometer (ultrasonic water disaggregation: Hydro MU system; absorption: 0.1; refractive index: 1.52; measurement time: 20 s; obscuration: 10–20%; and pump speed: 2500 rpm, 3 measures), following the recommended procedures of the International Volcanic Health Hazard Network (IVHHN, www.ivhhn.org). This technique measures particles of 0.1–1000 μm using the Mie Theory; due to this limitation, only distal ash samples with maximum grain sizes of < 1 mm for the complete deposit (not grain fractionated) were analysed. The particle-size abundance is reported as the volume percentage of equivalent spherical diameter. Contact person: Fernandez-Turiel, J. L., jlfernandez@ictja.csic.es, This dataset includes particle size distribution data of volcanic ashes of Southern Puna and neighbouring areas (NW Argentina). The content of particles of 0.1–1000 μm was determined by lasser diffraction. The studied volcanic materials are mainly associated with the 4.2 ka cal BP eruption of the Cerro Blanco Volcanic Complex. Some samples area related to the Cueros de Purulla volcano., MINECO, CGL2011–23307, No

Proyecto: //
DOI: http://hdl.handle.net/10261/167764
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/167764
HANDLE: http://hdl.handle.net/10261/167764
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/167764
PMID: http://hdl.handle.net/10261/167764
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/167764
Ver en: http://hdl.handle.net/10261/167764
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/167764

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168205
Dataset. 2018

SEDIMENT INORGANIC CARBON (PIC) DEPOSITS IN SEAGRASS MEADOWS AND ADJACENT SAND-PATCHES (V. 2)

  • Mazarrasa, Inés
  • Marbà, Núria
  • Lovelock, Catherine E.
  • Serrano, Oscar
  • Lavery, Paul S.
  • Fourqurean, James W.
  • Kennedy, Hilary
  • Mateo, Miguel Ángel
  • Krause-Jensen, Dorte
  • Steven, Andy D. L.
  • Duarte, Carlos M.
The database compiles published and unpublished data on carbonate (CaCO3) and/or particulate inorganic carbon (PIC) along with particulate organic carbon (POC) stocks if available, in sediments of seagrass meadows and adjacent un-vegetated patches. We considered the total pool of CaCO3 reported without distinguishing between the different biogenic carbonate mineral forms (calcite, Mg-calcite and aragonite). Fourqurean et al. (2012) provided data for 201 sites, and a literature search using both the Web of Knowledge (using the search terms “seagrass*” AND “inorganic carbon*” AND [“calcific* OR sediment* OR CaCO3 OR dissolut* OR diagenesis”]) and Google Scholar (using the search terms “seagrass carbonate”) yielded data for an additional 82 sites. The database was amended with unpublished values for 154 additional sites sampled by the authors. The database compiles data on sediment carbonate concentration for a total of 437 sites, of which 34 corresponded to sand patches adjacent to seagrass meadows. The final database comprises estimates for 403 seagrass vegetated sites, including 219 estimates for sediment surface samples (ca. 1-30 cm depth) and 184 estimates for sediment cores of variable length (149 cores < 100 cm-long, and 35 cores ≥ 100 cm-long). When only one of the variables, CaCO3 or PIC was reported, the other was estimated assuming that PIC is 12% of the total molar mass of the CaCO3. In most cases, particulate inorganic and organic carbon (PIC and POC) were reported as a percentage of dry weight (%DW), where PIC and POC, in mg cm-3, was calculated as the product of the fraction of sediment dry weight composed by PIC or POC and the dry bulk density (DBD) of a given sediment section (n = 340 sites). When DBD was not reported (n = 113 sites), we used the average DBD (1.03 g cm-3) reported by Fourqurean et al. (2012) for seagrass sediments in the calculations. Enquiries about the dabaset may be sent to Inés Mazarrasa., [Access and reuse conditions] This database and its components are subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0., [Reason for updating the database] This database is a corrected version of the database by Mazarrasa et al., (2015) (DIGITAL.CSIC, http://hdl.handle.net/10261/116550). In the previous version of the database, CaCO3 and PIC values for 3 sediment cores from Oyster Harbour, Western Australia (cores # 275-277) and from 13 cores from Greenland and Denmark (cores # 391-403) were wrong. In this new version of the database these errors have been corrected. In addition, we have added data of 35 sediment slices of the cores from Greenland (cores # 391-397) that were missing in the previous version of the database. These changes do not significantly affect the results presented in the paper published in Biogeoscience (Mazarrasa et al., 2015) that was produced using the previous version of the database., The database is a global compilation of published and unpublished data available on carbonate (CaCO3), particulate inorganic carbon (PIC) and particulate organic carbon (POC) stocks in sediments of seagrass meadows and adjacent un-vegetated sediments., No

Proyecto: //
DOI: http://hdl.handle.net/10261/168205
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168205
HANDLE: http://hdl.handle.net/10261/168205
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168205
PMID: http://hdl.handle.net/10261/168205
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168205
Ver en: http://hdl.handle.net/10261/168205
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168205

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168612
Dataset. 2018

LIFE CYCLE OF T. VERTICALIS; PHYSICO- CHEMICAL DATA

  • Céspedes, Vanessa
  • Coccia, Cristina
  • Carbonell, José Antonio
  • Sánchez, Marta I.
  • Green, Andy J.
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/168612
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168612
HANDLE: http://hdl.handle.net/10261/168612
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168612
PMID: http://hdl.handle.net/10261/168612
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168612
Ver en: http://hdl.handle.net/10261/168612
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168612

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168630
Dataset. 2018

MEDIUM AND LARGE FALCON SPECIES (FALCO SPP.) OF CAPTIVE ORIGIN DETECTED ON TENERIFE ISLAND

  • Rodríguez, Beneharo
  • Siverio, Felipe
  • Siveiro, Manuel
  • Rodríguez, Airam
Falcons were detected by admissions to La Tahonilla Wildlife Rehabilitation Center, Cabildo de Tenerife (1998-2017), lost falcons reports issued by falconers to the Wildlife Rehabilitation Center (2007-2017), and field observations by authors (1993-2017). Territory: yes = holding territory. Paired : Yes = Mated, No = Unmated, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/168630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168630
HANDLE: http://hdl.handle.net/10261/168630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168630
PMID: http://hdl.handle.net/10261/168630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/168630
Ver en: http://hdl.handle.net/10261/168630
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oai:digital.csic.es:10261/168630

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169111
Dataset. 2018

PROVIDING LONGER POST-FLEDGING PERIODS INCREASES OFFSPRING SURVIVAL AT THE EXPENSE OF FUTURE FECUNDITY [DATASET]

  • López-Idiáquez, David
  • Vergara, Pablo
  • Fargallo, Juan A.
  • Martínez-Padilla, Jesús
[Access and reuse conditions] This database and its components are subject to a Creative Commons Attribution International licence 4.0., The cost of reproduction is a key concept in life-history trade-offs. However, our understanding of the reproductive costs is biased towards measures of reproductive effort obtained before offspring independence. During the post-fledging dependence period (PFDP) is well known that parents feed and protect their offspring. However, the effort devoted to this reproductive activity has never been considered under the scheme of the costs of reproduction, and the potential fitness benefits and costs, for offspring and parents respectively, of the duration of PFDP remain barely known. We estimated the duration of the PFDP during 5 years using wild common kestrels (Falco tinnunculus) and studied its association with survival probability and future parental reproductive performance. Our results show that longer PFDPs increased the survival probability of fledglings, probably due to the benefits obtained by parental care. Also, we found that providing longer PFDPs was associated with reduced clutch sizes but not number of fledglings the subsequent breeding season in males. We suggest that increased parental expenditure on offspring during the PFDP may represent a potential cost of reproduction in breeding males., The long-term monitoring associated to this study was funded by projects CGL2004- 04479/BOS, CGL2007-61395/BOS, CGL2010-15726/BOS and CGL2015-70639-P from the Ministerio de Economía y Competitividad, Peer reviewed

DOI: http://hdl.handle.net/10261/169111
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169111
HANDLE: http://hdl.handle.net/10261/169111
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169111
PMID: http://hdl.handle.net/10261/169111
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169111
Ver en: http://hdl.handle.net/10261/169111
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169111

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169216
Dataset. 2018

AMPHIBIAN CSIC EXPERIMENTALDATA N RUIZGOMEZ 2018 XPEEM 20180312 75144 (V1)

  • Ruiz-Gómez, Sandra
  • Pérez, Lucas
  • Mascaraque, Arantzazu
  • Quesada, Adrián
  • Prieto, Pilar
  • Palacio, Irene
  • Martín-García, Laura
  • Foerster, Michael
  • Aballe, Lucía
  • de la Figuera, Juan
  • AMPHIBIAN Project ID:720853
Los datos se componen de grupos de 3 imágenes de microscopía XPEEM correspondientes a 5 islas nanométricas de magnetita. Cada isla está identificada en el nombre de los datos como i1, i2….i5, y las tres imágenes de cada isla con el identificador R0, R60 y R120., We have grown high quality magnetite microcrystals free from antiphase boundaries on Ru(0001) by reactive molecular beam epitaxy, conserving bulk magnetic properties below 20 nm thickness. Magnetization vector maps are obtained by X-ray spectromicroscopy and compared with micromagnetic simulations. The observed domain configurations are dictated purely by shape anisotropy, overcoming the possible influences of (magneto)crystalline anisotropy and defects, thus demonstrating the possibility of designing spin structures in ultrathin, magnetically soft magnetite at will., UE, programa H2020, Proyecto AMPHIBIAN n º 720853., Peer reviewed

Proyecto: EC/H2020/720853
DOI: http://hdl.handle.net/10261/169216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169216
HANDLE: http://hdl.handle.net/10261/169216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169216
PMID: http://hdl.handle.net/10261/169216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169216
Ver en: http://hdl.handle.net/10261/169216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169216

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169350
Dataset. 2018

DOGS ARE THE MAIN SPECIES INVOLVED IN ANIMAL-VEHICLE COLLISIONS IN SOUTHERN SPAIN: DAILY, SEASONAL AND SPATIAL ANALYSES OF COLLISIONS

  • Canal, David
  • Martín, Beatriz
  • Lucas, Manuela de
  • Ferrer, Miguel
The dataset contains the information of the animal-vehicle collisions reported to the traffic authorities in the province of Seville (Andalusia, Spain). Data were provided by the Provincial Directorate of Traffic of Seville (DGT). The dataset includes the year, date and hour of the collision, the day of the week, sunrise and sunset time for Seville the day of collision, the location of the collision (road (Road ID), kilometer point (Km) and coordinates (latitude and longitude) as well as the animal involved in the reported collision., Animal-vehicle collisions have become a serious traffic safety issue. Collisions have steadily increased over the last few decades, as have their associated socio-economic costs. Here, we explore the spatial and temporal patterns of animal-vehicle collisions reported to authorities in the province of Seville, southern Spain. Most animal-vehicle collisions involved domestic animals (>95%), particularly dogs (>80%), a pattern that sharply contrasts with that found in other Spanish and European regions, where collisions are mostly caused by game species. Dog-vehicle collisions were related to the traffic intensity of the roads and they were more frequent around dawn and dusk, coinciding with the peaks of activity of dogs. This pattern was consistent throughout the week, although on weekends there were fewer collisions due to lower traffic density at those times. These findings suggest that the aggregation of dog-vehicle collisions around twilight likely resulted from a combined effect of the activity peaks of dogs and traffic density. Seasonally, collisions increased in autumn and winter, coinciding with the period of intense hunting activity in the region. Further, during autumn and winter, rush hour partly overlaps with twilight due to longer nights in comparison with summer and spring, which may contribute to the increased rate of dog-vehicle collisions in these seasons. Spatially, satellite images of nighttime lights showed that dog-vehicle collisions were clustered near urban areas. Overall, the high incidence of stray dogs involved in animal-vehicle collisions highlights a road safety issue with this type of animals in the region, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/169350
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169350
HANDLE: http://hdl.handle.net/10261/169350
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169350
PMID: http://hdl.handle.net/10261/169350
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169350
Ver en: http://hdl.handle.net/10261/169350
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169350

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169529
Dataset. 2018

A GLOBAL MONTHLY CLIMATOLOGY OF TOTAL ALKALINITY: A NEURAL NETWORK APPROACH (DISCUSSIONS VERSION) [DATASET]

  • Broullón, Daniel
  • Pérez, Fiz F.
  • Velo, A.
  • Hoppema, Mario
  • Olsen, Are
  • Takahashi, Taro
  • Key, Robert M.
  • González-Dávila, Melchor
  • Tanhua, Toste
  • Jeansson, Emil
  • Kozyr, Alex
  • van Heuven, Steven
The item is made of 6 files: 1) Readme_Global_monthly_dataset.txt; 2) ATNNWOA13.nc is the climatological data of total alkalinity computed with NNGv2; 3) NNGv2 is the neural network object used to create the climatology; 4) NNw3RMSE is a neural network object used to evaluate the error of the network when it is trained without data beyond +-3RMSE; 5)ATNNWOA13.mp4 is a video of the surface climatology, 3 vertical sections in the Pacific Ocean, Atlantic Ocean and Indean Ocean and, the variation in depth of one month (April); 6) Example.rar contains an example matrix of inputs to the neural network, the NNGv2.mat and a MATLAB script to compute AT with NNGv2.-- The final version is in http://dx.doi.org/10.20350/digitalCSIC/8644, This research was supported by Ministerio de Educación, Cultura y Deporte (FPU grant FPU15/06026), Ministerio de Economía y Competitividad through the ARIOS (CTM2016-76146-C3-1-R) project co-funded by the Fondo Europeo de Desarrollo Regional 2014-2020 (FEDER) and EU Horizon 2020 through the AtlantOS project (grant agreement 633211), No

DOI: http://hdl.handle.net/10261/169529
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169529
HANDLE: http://hdl.handle.net/10261/169529
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169529
PMID: http://hdl.handle.net/10261/169529
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169529
Ver en: http://hdl.handle.net/10261/169529
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oai:digital.csic.es:10261/169529

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169555
Dataset. 2018

SEDIMENT CARBON STORES IN GREENLAND SEAGRASS MEADOWS

  • Marbà, Núria
  • Krause-Jensen, Dorte
  • Masqué, Pere
  • Duarte, Carlos M.
The dataset contains data on profiles of bulk density, concentrations of organic matter, carbonate, organic carbon and inorganic carbon, density of organic and inorganic carbon, δ13C and abundance of 210Pb along sediment cores. The sediment cores were collected inside three Zostera marina meadows growing in Western Greenland: Ameralik (64°15’N, 51°35’W), Kapisillit (64°28’N, 50°13’W) and Kobbefjord (64°09’N, 51°33’W) (Marbà et al 2018). The sediment cores were sliced every 1 or 2 cm depending on the core. Dry bulk density was measured by dividing the weight after oven-drying them at 60 oC for 48 h by the wet volume of the sediment sample. Concentration of total 210Pb was determined by alpha spectrometry following Sanchez-Cabeza et al. (1998) . The concentration of excess 210Pb was calculated as total 210Pb minus supported 210Pb, estimated as the average of total 210Pb concentration at the base of each sediment core profile. Supported 210Pb values were comparable to the 226Ra concentrations obtained at selected depths in each core. The depth of the sediment horizon accreted since year 1900 was identified by applying constant flux: constant sedimentation (CF:CS) model (Krishnaswamy et al 1971) and the year of sediment accretion at the top of each slice by applying the constant rate of supply (CRS) model (Appleby and Oldfield 1978) . Organic matter concentration (OM, % DW) was measured using the loss of ignition technique. Sediment organic carbon concentrations (Corg, % DW) were estimated from measured organic matter concentrations (OM, % DW) using the relationship described by Fourqurean et al. (2012). Concentration of inorganic carbon (Cinorg, %DW) was measured by conducting a second combustion of the sediment samples at 1000 oC for 2 h and multiplying the amount of CO2 released from the carbonate by 0.27 (i.e. the ratio of the atomic weight of carbon (12 g) to the molecular weight of CO2 (44 g)). Densities of Corg (g Corg cm-3) and Cinorg (g Cinorg cm-3) were calculated by multiplying, respectively, Corg and Cinorg concentrations by the sediment dry bulk density of each sediment sample. We analyzed the 13C of the sediment organic carbon in acidified samples by an isotope ratio mass spectrometer (Thermo fisher scientific) and report it in the δ notation as the ratio of the 13C to the 12C isotope in the sample (Rsample) relative to that of a standard (Standard) i.e., δ sample = 1000 [(Rsample/ Rstandard) − 1]. The primary standard is Vienna Pee Dee Bellemnite (VPDB) and secondary standards are Acetanilide (Schimmelmann) and sucrose. The seagrass contribution in the sediment organic carbon pool after year 1900 was estimated by applying a two source-mixing model, δ13Csed after 1900 = δ13Cseagr * f + [δ13Csed before 1900 * (1-f)], that considered Z. marina (δ13Cseagr Ameralik = -7.31 ± 0.02 ‰, δ13Cseagr Kapisillit = -6.58 ± 0.33 ‰, δ13Cseagr Kobbefjord = -7.83 ± 0.15 ‰) and a business as usual carbon source scenario, represented by the average δ13Csed observed in sediments accreted before year 1900 (δ13Csed after 1900 = -30.44 ± 0.38 ‰), as end members. We corrected for the historical change in the δ13C source signatures due to 13C depletion in the atmospheric CO2 and oceanic DIC δ13C signature towards present derived from the burning of fossil fuels (i.e. Suess effect, Keeling 1979). This was done by applying the model described by Schelske and Hodell (1995) and modified by Verburg (2007): δ13Catm = 4577.8 – 7.343 *Y + 3.9213 * 10-3 * Y2 – 6.9812 * 10-7 * Y3 to estimate the δ13C of atmospheric CO2 (δ13Catm) over time (years, Y) since year 1840. These values were subsequently normalized to δ13Catm in year 1840, and the resulting time-dependent depletion in δ13C since1840 was subtracted from the measured δ13Csed for each dated sediment section., The dataset provides data on organic matter (OM), carbonate (CaCO3), organic carbon (Corg), inorganic carbon (Cinorg), 13C in organic carbon and 210Pb in sediment cores collected at three Zostera marina meadows from Western Greenland., EU FP7 (project Opera’s, contract number 308393) and King Abdullah University of Science and Technology (KAUST). DKJ received support from the COCOA project under the BONUS program funded by the EU 7th framework program and the Danish Research Council and from the NOVAGRASS (0603-00003DSF) project funded by the Danish Council for Strategic Research. P.M. was supported by the Generalitat de Catalunya through its grant 2017 SGR-1588., Peer reviewed

Proyecto: EC/FP7/308393
DOI: http://hdl.handle.net/10261/169555
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169555
HANDLE: http://hdl.handle.net/10261/169555
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169555
PMID: http://hdl.handle.net/10261/169555
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/169555
Ver en: http://hdl.handle.net/10261/169555
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