83 research outputs found
Composite Greenland atmospheric temperature record from the GISP2, NGRIP, and NEEM ice cores
No full textThis dataset consists in a composite Greenland atmospheric temperature record, which was built with the following records: the GISP2 atmospheric temperature record by Kobashi et al. (2017) for the 10–0 ka BP period, the NGRIP atmospheric temperature record by Kindler et al. (2014) for the 120–10 ka BP period, and the NEEM atmospheric temperature record by NEEM community members (2013) for the 129–120 ka BP period. The NEEM temperature anomalies obtained by NEEM community members (2013) were shifted by –31 °C to obtain absolute air temperatures. The employed age model is the one of Davtian and Bard (2023) for Greenland and Antarctic ice-core records
Biomarker indices and concentrations and biomarker-based temperature estimates from the Iberian Margin core MD95-2042, composite Greenland atmospheric temperature record, and Antarctic stacks
No full textCore MD95-2042 alkenone and GDGT data: This dataset provides the following information for core MD95-2042: depth, age, summed OH-GDGT, iGDGT, and di-unsaturated and tri-unsaturated C37 alkenone concentrations, OH-GDGT-based, iGDGT-based, and alkenone-based paleothermometric indices, GDGT-2/GDGT-3 ratio, and biomarker-based sea surface temperature (SST) and 0‐ to 200‐m sea temperature (subT; gamma function probability distribution for target temperatures with a = 4.5 and b = 15) estimates. Sediment samples were taken every 5 cm from core MD95-2042 and homogenized before lipid extraction. The lipid extracts were splitted into two fractions: one for alkenone analysis by gas chromatography coupled to a flame ionization detector, and the other for GDGT analysis by high-performance liquid chromatography coupled to mass spectrometry. All GDGT analyses were done in duplicate. The 1σ analytical uncertainties from 37 replicate analyses of the core catcher sample from core MD95-2042 are 0.007 (0.4 °C) for RI-OH, 0.008 (0.2 °C) for RI-OH′, 0.003 (0.2 °C) for TEX86, 0.238 for GDGT-2/GDGT-3, and 0.010 (0.26 °C) for UK′37. RI-OH′-SST estimates are from the following global calibration: SST = (RI-OH′ + 0.029)/0.0422 (Fietz et al., 2020). RI-OH-SST estimates are from the following global calibration: SST = (RI-OH − 1.11)/0.018 (Lü et al., 2015). TEX86H-SST estimates are from the following regional paleocalibration: SST = 68.4 × TEX86H + 33.0 (Darfeuil et al., 2016). UK′37-SST estimates are from the following global calibration: SST = 29.876 × UK′37 − 1.334 (Conte et al., 2006). Bayesian calibrations were also used for TEX86-SST and TEX86-subT estimates (BAYSPAR; Tierney & Tingley, 2014, 2015) and for UK′37-SST estimates (BAYSPLINE; Tierney & Tingley, 2018). Alkenone data covering the 160–70 and 70–0 ka BP periods are from Davtian et al. (2021) and Darfeuil et al. (2016), respectively. GDGT data covering the 160–45 ka BP period are from Davtian et al. (2021). The age model of core MD95-2042 for the 160–43 and 43–0 ka BP periods was obtained by tuning to Chinese speleothems (Cheng et al., 2016) and by recalibrating existing 14C ages with the Marine20 calibration curve (Heaton et al., 2020), respectively. MIS, Marine Isotope Stage; GDGT, glycerol dialkyl glycerol tetraether; and N/A, not available.
Greenland atmospheric temperature record: This dataset consists in a composite Greenland atmospheric temperature record, which was built with the following records: the GISP2 atmospheric temperature record by Kobashi et al. (2017) for the 10–0 ka BP period, the NGRIP atmospheric temperature record by Kindler et al. (2014) for the 120–10 ka BP period, and the NEEM atmospheric temperature record by NEEM community members (2013) for the 129–120 ka BP period. The NEEM temperature anomalies obtained by NEEM community members (2013) were shifted by –31 °C to obtain absolute air temperatures. The employed age model is the one of Davtian and Bard (2023) for Greenland and Antarctic ice-core records.
Antarctic δ18Oice and atmospheric temperature stacks: This dataset consists in two stacks of three Antarctic records (EDC, EDML, and WD), one for δ18Oice and the other for atmospheric temperature: both stacks are provided with their stacking uncertainties. To build the Antarctic δ18Oice stack, the Antarctic δ18Oice records were resampled every 10 years before centering to zero means and normalization to unit standard deviations over the 140–0 ka BP period (68–0 ka BP for WD). To optimize the continuity between the portions with and without the WD ice core, the Antarctic δ18Oice records were centered to zero means over the 68–67 ka BP period. The resulting Antarctic δ18Oice records were then averaged and stacking uncertainties were calculated as the pooled standard deviation of the stacked Antarctic δ18Oice records divided by the square root of the number of stacked Antarctic δ18Oice records. The final Antarctic δ18Oice stack, expressed in ‰, has the same standard deviation as the δ18Oice record from EDML over the 140–0 ka BP period, and has a zero mean over the 1–0 ka BP. The Antarctic atmospheric temperature stack was built like the Antarctic δ18Oice stack, except that the Antarctic δ18Oice records were corrected for seawater δ18Oice variations before conversion into atmospheric temperature. The employed age model is the one of Davtian and Bard (2023) for Greenland and Antarctic ice-core records
Évolution paléogéographique du Ja'alan (Oman) à l'Holocène moyen : impact sur l'évolution des paléomilieux littoraux et les stratégies d'adaptation des communautés humaines
No full textDuring the mid Holocene, climatic, eustatic and tectonic fluctuations characterised the east coast of Arabia. These had an effect upon the equilibrium between Neolithic peoples and the coastal environment. Geo-archaeological data from the eastern region of the Ja 'alan (Sultanate of Oman) indicate numerous variations in the dynamics of the coastal ecosystems (sea, lagoons and mangroves). These variations led the human communities to adapt to the new ecological conditions, as is reflected in the changes in the archaeological faunal spectra. Peoples of the 6th to 4th millennia mainly exploited coastal resources - collecting molluscs. The 3rd millennium Early Bronze Age cultures that followed responded to these ecological constraints by adopting a considerably more specialised marine economy - coastal and deep-sea exploitation - as well as an intensification of regional economic exchange related to the development ofpas- toralism and oasis agriculture in the foothills of the hinterland. In addition to temporary fishing settlements, there were also harbour sites that undertook long-distance exchange.Les fluctuations climatiques, eustatiques et tectoniques qui ont caractérisé la côte orientale de l'Arabie à l'Holocène moyen ont régulièrement modifié les équilibres entre les populations néolithiques et le milieu littoral. Le bilan des données géoarchéologiques de la région orientale du Ja 'alan (Sultanat d'Oman) indique de nombreuses variations dans la dynamique des écosystèmes côtiers (mer, lagunes, mangroves). Elles nécessitent de la part des communautés humaines une adaptation aux nouvelles conditions écologiques, sensible notamment dans l'évolution des spectres de ressources animales identifiées sur les sites. Alors que les populations du VIe au IVe millénaire se concentrent sur et exploitent surtout le littoral (amas coquilliers), les cultures du Bronze ancien qui leur succèdent au IIIe millénaire répondent à ces contraintes par une spécialisation marine nettement plus affirmée (prédation littorale et hauturière) et une intensification des échanges économiques à l 'échelle régionale en relation avec le développement de l'élevage et d 'une agriculture d'oasis dans les piémonts de l 'arrière-pays. Aux stations temporaires spécialisées dans la pêche viennent s 'ajouter des sites portuaires tournés vers les échanges à longue distance.Berger J.-F., Cleuziou S., Davtian G., Cattani Mauricio, Cavulli Fabio, Charpentier Vincent, Cremaschi M., Giraud Jessica, Marquis P., Martin Chloé, Mery Sophie, Plaziat Jean-Claude, Saliège J.-F. Évolution paléogéographique du Ja'alan (Oman) à l'Holocène moyen : impact sur l'évolution des paléomilieux littoraux et les stratégies d'adaptation des communautés humaines. In: Paléorient, 2005, vol. 31, n°1. Anciennes exploitations des mers et des cours d'eau en Asie du Sud-Ouest. Approches environnementales. pp. 46-63
Antarctic δ18Oice and atmospheric temperature stacks of the WD, EDC, and EDML ice cores
No full textThis dataset consists in two stacks of three Antarctic records (EDC, EDML, and WD), one for δ18Oice and the other for atmospheric temperature: both stacks are provided with their stacking uncertainties. To build the Antarctic δ18Oice stack, the Antarctic δ18Oice records were resampled every 10 years before centering to zero means and normalization to unit standard deviations over the 140–0 ka BP period (68–0 ka BP for WD). To optimize the continuity between the portions with and without the WD ice core, the Antarctic δ18Oice records were centered to zero means over the 68–67 ka BP period. The resulting Antarctic δ18Oice records were then averaged and stacking uncertainties were calculated as the pooled standard deviation of the stacked Antarctic δ18Oice records divided by the square root of the number of stacked Antarctic δ18Oice records. The final Antarctic δ18Oice stack, expressed in ‰, has the same standard deviation as the δ18Oice record from EDML over the 140–0 ka BP period, and has a zero mean over the 1–0 ka BP. The Antarctic atmospheric temperature stack was built like the Antarctic δ18Oice stack, except that the Antarctic δ18Oice records were corrected for seawater δ18Oice variations before conversion into atmospheric temperature. The employed age model is the one of Davtian and Bard (2023) for Greenland and Antarctic ice-core records
Les productions céramiques des sites issus du programme VaporAfar
No full textin KHALIDI L. (dir.), with contributions by L. BRUXELLES, J. CAULIEZ, L. CHESNAUX, G. DAVTIAN, M. DUBAR, B. ENDGA, E. GAUVRIT-ROUX, B. GRATUZE, J. LESUR, C. MÉNARD, C. OPPENHEIMER, C. TRIBOLO 2016, Final report. Volcanological & Archaeological Program for Obsidian Research – Afar Ethiopia – 15 March – 2 april 2016 Seaso
Les productions céramiques des sites issus du programme VaporAfar
No full textin KHALIDI L. (dir.), with contributions by L. BRUXELLES, J. CAULIEZ, L. CHESNAUX, G. DAVTIAN, M. DUBAR, B. ENDGA, E. GAUVRIT-ROUX, B. GRATUZE, J. LESUR, C. MÉNARD, C. OPPENHEIMER, C. TRIBOLO 2016, Final report. Volcanological & Archaeological Program for Obsidian Research – Afar Ethiopia – 15 March – 2 april 2016 Seaso
Les productions céramiques des sites issus du programme VaporAfar
No full textin KHALIDI L. (dir.), with contributions by L. BRUXELLES, J. CAULIEZ, L. CHESNAUX, G. DAVTIAN, M. DUBAR, B. ENDGA, E. GAUVRIT-ROUX, B. GRATUZE, J. LESUR, C. MÉNARD, C. OPPENHEIMER, C. TRIBOLO 2016, Final report. Volcanological & Archaeological Program for Obsidian Research – Afar Ethiopia – 15 March – 2 april 2016 Seaso
Les productions céramiques des sites issus du programme VaporAfar
No full textin KHALIDI L. (dir.), with contributions by L. BRUXELLES, J. CAULIEZ, L. CHESNAUX, G. DAVTIAN, M. DUBAR, B. ENDGA, E. GAUVRIT-ROUX, B. GRATUZE, J. LESUR, C. MÉNARD, C. OPPENHEIMER, C. TRIBOLO 2016, Final report. Volcanological & Archaeological Program for Obsidian Research – Afar Ethiopia – 15 March – 2 april 2016 Seaso
Évolution paléographique du Ja'alan (Oman) à l'holocène moyen: Impact sur l' évolution des palémilieux littoraux et les stratégies d' adaptation des communautés humaines
No full textEvolution paléogéographique du Ja’alan (Oman) à l’Holocène moyen: impact sur l’évolution des paléomilieux littoraux et les stratégies d’adaptation des communautés humaines
No full text- …
