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  • NERC EFCHED project, no data delivered aside from metadata.

  • The project aim was to develop process-based computer simulations of the dispersal of Homo erectus out of Africa. This involved developing realistic constraints on the patterns of vegetation and the effects of changes in global sea level. It was assumed that this migration out of Africa could be investigated through the paradigm of a single migration event, starting around 2 millions of years ago and arriving in Dmanisi around 1.8 millions of years ago. The data archived here consists of the vegetation patterns used in constructing the simulations and the patterns of climate variability used to constrain the variations in sea level and vegetation change. From these data it is possible to reproduce the simulation results. Simulation results are available from J.K. Hughes, A. Haywood, S.J. Mithen, B.W. Sellwood, P.J. Valdes (In Press) Investigating Early Hominin Dispersal Patterns : developing a framework for climate data integration. Journal Of Human Evolution.

  • This project aimed to investigate whether the present chronological data for late Mousterian sites in Europe are biasing our perception of Neanderthal populations by making them appear more cold-adapted than the incoming anatomically modern Early Upper Palaeolithic humans. In this study we focused on the part of the Neanderthal world that experienced the most continental climatic environments - namely, European Russia north of the Black Sea - for it is in such a region that the environmental preferences, in particular tolerance to temperature, are most discernible. By applying a series of cross-validated non-14C chronological methodologies (OSL, TL, palaeomagnetic intensity, and tephrostratigraphy) to late Middle Palaeolithic assemblages the project sought to identify spatial and temporal patterning which, when correlated with local environmental proxies and wider climate data, would provide a better understanding of Neanderthal climate tolerances. The project has produced a suite of new age determinations from a selection of archaeological sites that had previously undergone investigation and which were available to sample without requiring new excavations; the corresponding data on the cultural, lithic and environmental associations of the new age measurements derive mostly from earlier existing studies.

  • To reconstruct the maternal demographic history of the populations of the Andaman and Nicobar archipelagos using genetic profiles obtained from colonial era skeletal material and hair collections. The project had two main technical arms: to obtain authentic DNA data from well-handled museum collections of human material, which were a priori presumed to be heavily contaminated; to use the data to fill in lacuna in the genetic landscape left by large-scale demographic decline caused by disease and social disruption associated with the modern era. The major aim of the interpretative phase of the project was to obtain realistic estimates for the date of settlement of these island groups based on genetics because of the absence of reliable archaeological evidence. The main aim of this research was to determine whether the Andaman islanders were part of a very early radiation from Africa or arrived to their archipelago much later. The Nicobars were included in the research to have a comparative data set from the same region from people with a different phenotype. The data set is comprised of mitochondrial DNA control region sequences and coding region Single Nucleotide Polymorphisms.

  • The spectacular botanical preservation and long occupation of Qasr Ibrim, Egypt make this site archaeobotanically matchless. 600 samples have been collected over 20 years covering a timespan of c. 1000 BC - AD 1800. The project has particularly focussed on the period AD 100-400 during which several new summer crops including sorghum, cotton, lablab and sesame first appear. These new crops are thought to be associated with the introduction of new irrigation technology, specifically a device known as the saqia, an ox-driven water wheel from which descends a conveyor belt to which pots are attached. It has never before been possible to examine this crucial change archaeologically and this project has allowed the investigation of when and how this great change happened. This has major implications for the history of agriculture in Africa and the Indian Ocean.

  • Data for Figure 3.2 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.2 shows changes in surface temperature for different paleoclimates. --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has three subpanels, the data provided for all panels in subdirectories named panel_a, panel_b, panel_c --------------------------------------------------- List of data provided --------------------------------------------------- For panel (a): - PMIP3 global temperature anomalies over continents and oceans reconstruction sites - PMIP4 CMIP6 global temperature anomalies over continents and oceans reconstruction sites - PMIP4 non-CMIP6 global temperature anomalies over continents and oceans reconstruction sites - Tierney 2020 reconstructions of marine temperature - Cleator 2020 reconstructions of continental temperature For panel (b): - CMIP5 temperature data for paleoclimate periods - CMIP6 temperature data for paleoclimate periods - non-CMIP temperature data for paleoclimate periods - Instrumental observational and observations from reconstructions For panel (c): - Volcanic forcing from TS17, CU12, GRA08 - CMIP6 GMST anomaly with respect to 1850-1900 modelled with TS17 volcanic forcing - CMIP5 GMST anomaly with respect to 1850-1900 modelled with CU12 volcanic forcing - CMIP5 GMST anomaly with respect to 1850-1900 modelled with GRA08 volcanic forcing --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- - panel_a/temperature_anomalies_scatter_points.csv relates to the scatter points and their standard deviation for panel (a) - For panel (b) the datasets are stored as following panel_b/temperature_{color}_{marker}_{period}_{model_group}_{additional_info}.csv and relates to the scatter points for panel (b). - For panel (c) the data is stored in panel_c/gmst_changes_paleo_volcanic_forcings.csv and relates to red, green, blue and black lines on the panel as well as grey shadings. Additional information about data provided in relation to figure in files headers. CMIP6 is the sixth phase of the Coupled Model Intercomparison Project. CMIP5 is the fifth phase of the Coupled Model Intercomparison Project. PMIP4 is the Paleoclimate Modelling Intercomparison Project phase 4 PMIP3 is the Paleoclimate Modelling Intercomparison Project phase 3 --------------------------------------------------- Temporal Range of Paleoclimate Data --------------------------------------------------- This dataset covers a paleoclimate timespan from 3.3Ma to 6ka (3.3 million years ago to 6 thousand years ago). --------------------------------------------------- Notes on reproducing the figure from the provided data. --------------------------------------------------- For panel (a) the error bar should be plotted as anomalies from columns 2/4 +/- standard deviation. --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the report component containing the figure (Chapter 3) - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1 - Link to the code for the figure, archived on Zenodo.

  • This dataset contains root length, biomass and fungal colonisation data for Calluna vulgaris from control, drought and warming treated soils from the long term climate change experiment in Clocaenog forest. Soil samples were collected from the climate change experiment in Northeast Wales during April 2015. Roots were separated from the soil, their length and biomass measured and then analysed using microscopy for Ericoid mycorrhizae (ErM) and dark septate endophyte (DSE) colonisation of Calluna vulgaris. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season (March to September). The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes and has been running since 1999. The root length and fungal colonisation data aims to understand how changes in soil hydrological and chemical properties have influenced Calluna vulgaris rooting behaviour and interactions with the soil microbiome. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/3d468857-f5d0-4dc4-88f3-6be6df19608b

  • River water alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2003 and 2006. River water samples were collected fortnightly at twenty three sites within these catchments and analysed for Alkalinity pH 4.5, Ammonia, Chloride-ion, Conductivity 20 deg C, Nitrate, pH, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. The samples were collected as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline river water chemistry data across the LOCAR catchments. Full details about this dataset can be found at https://doi.org/10.5285/bb600a56-c9cf-4fca-b9be-be3de0039a79

  • Elevation contour lines within the Severn catchment at 10 metre intervals. Digitised from the scanned topographic maps.

  • Nutrient exchange fluxes in the dark and light, calculated in moles per hour per square metre, between sediment cores and overlying site water in salt marsh and intertidal mudflat locations in Essex and Morecombe Bay, Lancashire in January and August 2013. Net fluxes of nitrate, nitrate, ammonium, oxygen and dissolved organic carbon were measured in temperature controlled water baths over three hour periods. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/740348c5-796b-4a28-bc7f-b0eaf1ee3452