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66 results for “Paleoclimate”
Data from: Regional paleoclimates and local consequences: Integrating GIS analysis of diachronic settlement patterns and process-based agroecosystem modeling of potential agricultural productivity in Provence (France)
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Modern calibration of Poa flabellata (Tussac grass) as a new paleoclimate proxy in the South Atlantic
<p>Carbon and oxygen stable isotopes in alpha cellulose from <em>Poa flabellata</em> leaf and root material collected between September 2015 to September 2016 in the Falkland Islands at four different locations.</p> <p> </p> <p> </p>
Data & code repository for "A re-appraisal of the ENSO response to volcanism with paleoclimate data assimilation"
<p>This repository includes the data and code that can be used to reproduce the figures for the paper entitled <em>A re-appraisal of the ENSO response to volcanism with paleoclimate data assimilation</em> (<a href="https://doi.org/10.1038/s41467-022-28210-1">DOI: 10.1038/s41467-022-28210-1</a>).</p> <p>The code is tested with Python v3.8, and the package <a href="https://github.com/fzhu2e/LMRt">LMRt</a> (Zhu et. al., 2021) is required to perform essential analysis (e.g. Superposed Epoch Analysis) and the corresponding visualization.</p> <p><strong>Repository Structure</strong></p> <ul> <li> <p><code>recons</code>: the folder that includes our reconstructions of (i) the NINO3.4 series with 0.05, 0.25, 0.5, 0.75, 0.95 quantiles and (ii) the ensemble median surface temperature field</p> <ul> <li><code>recon_Ocn2kCorals_Li13b6.nc</code>: the reconstruction that assimilates all the available Ocean2k corals (Tierney et al., 2015; PAGES2k Consortium, 2017) and the six best ENSO predictors in Li et al. (2013).</li> <li><code>recon_Corals_Li13b6.nc</code>: the reconstruction that assimilates the corals reaching back before 1750 CE and the six best ENSO predictors in Li et al. (2013).</li> <li><code>recon_Corals.nc</code>: the reconstruction that assimilates the corals reaching back before 1750 CE.</li> <li><code>recon_Li13b6.nc</code>: the reconstruction that assimilates the six best ENSO predictors in Li et al. (2013).</li> </ul> </li> <li> <p><code>notebooks</code>: the folder that includes Jupyter notebooks</p> <ul> <li><code>Fig-1.ipynb</code>: the notebook that performs analysis and generates Fig. 1 in the main text</li> <li><code>Fig-2.ipynb</code>: the notebook that performs analysis and generates Fig. 2 in the main text</li> <li><code>Fig-3.ipynb</code>: the notebook that performs analysis and generates Fig. 3 in the main text</li> <li><code>Fig-4.ipynb</code>: the notebook that performs analysis and generates Fig. 4 in the main text</li> </ul> </li> <li> <p><code>data</code>: the folder that includes auxiliary data for the analysis and visualization</p> <ul> <li><code>proxy_locs.pkl</code>: the pickle file that includes the location information of the assimilated proxies</li> <li><code>eVolv2k_v3_ds_1.nc</code>: the eVolv2k v3 volcanic forcing data (Toohey & Sigl, 2017), which is publicly available and can be downloaded <a href="https://doi.org/10.26050/WDCC/eVolv2k_v3">here</a></li> <li><code>palmyra2013.txt</code>: the Palmyra coral d18O data (Emile-Geay et al., 2013), which is publicly available and can be downloaded <a href="https://www.ncdc.noaa.gov/cdo/f?p=519:1:::::P1_STUDY_ID:1875">here</a></li> <li><code>Li13b6.txt</code>: the six best ENSO predictors in Li et al. (2013), including the first two principle components (PCs) of the North American Drought Atlas (NADA; Cook et al., 2004) and Monsoon Asia Drought Atlas (MADA; Cook et al., 2010) networks, the Kauri tree-ring composite (Fowler et al., 2012), and the South America Altiplano (SA Altiplano) tree-ring composite (Morales et al., 2012)</li> <li><code>enso-li2013.txt</code>: the Li et al. (2013) NINO3.4 reconstruction, which is publicly available and can be downloaded with the link: <code>ftp://ftp.ncdc.noaa.gov/pub/data/paleo/treering/reconstructions/enso-li2013.txt</code></li> <li><code>ERSSTv5_sst_DJF.nc</code>: the ERSSTv5 boreal winter (December-February) SST field data (Huang et al., 2017)</li> </ul> </li> <li> <p><code>figs</code>: the folder that includes figures</p> <ul> <li><code>Fig-1.pdf</code>: Fig. 1 in the main text</li> <li><code>Fig-2.pdf</code>: Fig. 2 in the main text</li> <li><code>Fig-3.pdf</code>: Fig. 3 in the main text</li> <li><code>Fig-4.pdf</code>: Fig. 4 in the main text</li> </ul> </li> </ul> <p><strong>References</strong></p> <ul> <li>Cook, E. R., Woodhouse, C. A., Eakin, C. M., Meko, D. M., & Stahle, D. W. (2004). Long-Term Aridity Changes in the Western United States. Science, 306(5698), 1015–1018. <a href="https://doi.org/10.1126/science.1102586">https://doi.org/10.1126/science.1102586</a></li> <li>Cook, E. R., Anchukaitis, K. J., Buckley, B. M., D’Arrigo, R. D., Jacoby, G. C., & Wright, W. E. (2010). Asian Monsoon Failure and Megadrought During the Last Millennium. Science, 328(5977), 486–489. <a href="https://doi.org/10.1126/science.1185188">https://doi.org/10.1126/science.1185188</a></li> <li>Emile-Geay, J., Cobb, K. M., Mann, M. E., & Wittenberg, A. T. (2013). Estimating Central Equatorial Pacific SST Variability over the Past Millennium. Part II: Reconstructions and Implications. Journal of Climate, 26(7), 2329–2352. <a href="https://doi.org/10.1175/JCLI-D-11-00511.1">https://doi.org/10.1175/JCLI-D-11-00511.1</a></li> <li>Fowler, A. M., Boswijk, G., Lorrey, A. M., Gergis, J., Pirie, M., McCloskey, S. P. J., et al. (2012). Multi-centennial tree-ring record of ENSO-related activity in New Zealand. Nature Climate Change, 2(3), 172–176. <a href="https://doi.org/10.1038/nclimate1374">https://doi.org/10.1038/nclimate1374</a></li> <li>Huang, B., Thorne, P. W., Banzon, V. F., Boyer, T., Chepurin, G., Lawrimore, J. H., et al. (2017). Extended Reconstructed Sea Surface Temperature, Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, 30(20), 8179–8205. <a href="https://doi.org/10.1175/JCLI-D-16-0836.1">https://doi.org/10.1175/JCLI-D-16-0836.1</a></li> <li>Li, J., Xie, S.-P., Cook, E. R., Morales, M. S., Christie, D. A., Johnson, N. C., et al. (2013). El Niño modulations over the past seven centuries. Nature Climate Change, 3(9), 822–826. <a href="https://doi.org/10.1038/nclimate1936">https://doi.org/10.1038/nclimate1936</a></li> <li>Morales, M. S., Christie, D. A., Villalba, R., Argollo, J., Pacajes, J., Silva, J. S., et al. (2012). Precipitation changes in the South American Altiplano since 1300 AD reconstructed by tree-rings. Climate of the Past, 8(2), 653–666. <a href="https://doi.org/10.5194/cp-8-653-2012">https://doi.org/10.5194/cp-8-653-2012</a></li> <li>PAGES2k Consortium (2017). A global multiproxy database for temperature reconstructions of the Common Era. Scientific Data, 4, 170088. <a href="https://doi.org/10.1038/sdata.2017.88">https://doi.org/10.1038/sdata.2017.88</a></li> <li>Tierney, J. E., Abram, N. J., Anchukaitis, K. J., Evans, M. N., Giry, C., Kilbourne, K. H., et al. (2015). Tropical sea surface temperatures for the past four centuries reconstructed from coral archives. Paleoceanography, 30(3), 2014PA002717. <a href="https://doi.org/10.1002/2014PA002717">https://doi.org/10.1002/2014PA002717</a></li> <li>Toohey, M., & Sigl, M. (2017). Volcanic stratospheric sulfur injections and aerosol optical depth from 500 BCE to 1900 CE. Earth System Science Data, 9(2), 809–831. <a href="https://doi.org/10.5194/essd-9-809-2017">https://doi.org/10.5194/essd-9-809-2017</a></li> <li>Zhu, F., Emile-Geay, J. Hakim, G. J., Tardif, R., and Perkins., A., (2021). LMR Turbo (LMRt): a lightweight implementation of the LMR framework (0.8.0). Zenodo. <a href="http://doi.org/10.5281/zenodo.5205223">http://doi.org/10.5281/zenodo.5205223</a></li> </ul> <p><strong>How to cite this repo</strong></p> <p>This repo can be cited with <a href="https://doi.org/10.5281/zenodo.5716165">DOI: 10.5281/zenodo.5716165</a>.</p>
The influence of climate and paleoclimate on distributions of global conifer clades depends on geographic range size
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Dataset used in "Paleoclimate Record in the EASM Realm Over the Past 30 kyr Constrained by Dissolved Noble Gases in Groundwater"
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Figure 3 in Squamates and amphibians from the Natufian cemetery of Raqefet Cave, Israel: taphonomy, paleoenvironments and paleoclimate
Figure 3. Cracking and flaking of bone surfaces as a result of cave corrosion: an example of a large whip snake (Dolichophis jugularis) vertebra from Raqefet Cave. (a) ×10 magnification of the trunk vertebra, anterior view; (b) ×50 magnification of the cotyle, anterior view; (c) ×10 magnification of the trunk vertebra, lateral view; (d) ×50 magnification of the trunk vertebra, lateral view.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.