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483 results for “Holocene”
Early-Holocene Forest at Stonewall Beach on Martha’s Vineyard 10700-9800 BP
Coastal erosion at Stonewall Beach on the island of Martha’s Vineyard, Massachusetts, U.S.A., has exposed a thick layer of peaty sediments rich in botanical remains, including well-preserved tree trunks. We identified the species of the tree trunks based on wood anatomy, analyzed pollen and macrofossils in the sediments, and determined the ages of the tree trunks and peat with 14C dating. The tree trunks were identified as Pinus strobus (white pine), and pollen assemblages featured high percentages of P. strobus in sediments associated with the trunks. The tree trunks and peat dated to ~10,700–9800 calibrated 14C years before present. These findings confirm that Martha’s Vineyard, like other parts of southern New England, was dominated by P. strobus forest during the early Holocene. At that time, regional climate was drier than today and Martha’s Vineyard was not yet isolated from the mainland by postglacial sea-level rise.
Holocene Development of a Forested Wetland in Central Massachusetts from 12500 BP to Present
The post-glacial history of two adjacent sites in the Harvard Forest, a 10-ha swamp (Black Gum Swamp) and a 0.006-ha hollow (Hemlock Hollow) in a Tsuga canadensis forest were investigated using pollen analysis. The sites were selected in order to contrast the regional vegetation history revealed from the swamp sediments with the local history of the Tsuga forest reconstructed from the Hollow sediments. Specific objectives were (1) to document the natural and anthropogenic disturbance history, (2) to examine the long-term vegetation dynamics of the two sites resulting from environmental change, species migration, and disturbance, especially with respect to Tsuga, and (3) to contrast the pre-and post-settlement vegetation and environments. The Swamp and Hollow cores contain continuous sediment records covering the past 12,300 and 9500 yr, respectively. Regional vegetation changes are delimited in six pollen zones: I, Herb zone, (12500 – 11800 yr BP); II, Picea zone (11800 –9350 yr BP) III, Pinus-Quercus zone (9350-8350 yr BP); IV, Tsuga-northern hardwoods zone (8350-1750 yr BP); V, Tsuga-Castanea-hardwoods zone (1750-200 yr BP); and VI, Post-settlement zone (200 yr BP-present). No disturbances are detected in the periods of tundra or boreal vegetation from 12500 to 8350 yr BP. Since 8350 yr BP three distinct disturbance processes are detectable: (1) fires recorded in discrete charcoal horizons, (2) the apparent pathogenic decline of Tsuga (4700-3500 yr BP) and the blight of Castanea (~1915 A.D.), and (3) post-settlement forest cutting, burning, land clearance an cultivation (1750 A.D. to present).
Data for: Segmentation and Holocene Behavior of the Middle Strand of the North Anatolian Fault (NW Turkey)
<p>This dataset is associated to the article "Segmentation and Holocene Behavior of the Middle Strand of the North Anatolian Fault (NW Turkey)" published in Tectonics (<a href="https://doi.org/10.1029/2021TC006870">https://doi.org/10.1029/2021TC006870</a>).</p> <p>It includes the following:</p> <ul> <li>A description file, including a list of data files, and a description of how the marker quality score was determined in this study ("Supporting Information.docx")</li> <li>A table summarizing the historical earthquakes in the region of interest ("TableS1.xlsx")</li> <li>A table summarizing the paleoseismic investigations in the region of interest ("TableS2.xlsx")</li> <li>The full horizontal offset retrodeformations ("offsets_X.tif")</li> <li>A table of the offset values measured along the MNAF (TableS3.xlsx")</li> <li>The georeferenced fault map ("MNAF_2021.gml" and "MNAF_2021.xsd")</li> <li>A figure showing examples of vertical slip markers along the MNAF south of Iznik Lake ("FigS1.tif")</li> <li>A figure showing field examples of Late Quaternary faulting along the MNAF ("FigS2.png")</li> <li>A figure showing the results of the automatic fault discretization procedure ("FigS3.png")</li> </ul>
Dataset for "Holocene hydroclimatic variability in the tropical Pacific explained by changing ENSO diversity."
<p>This repository contains the tropical Pacific sea surface temperature and global precipitation data from the CESM1 time slice experiments, which were used for the analysis presented in Karamperidou & DiNezio (2022), Nature Communications (https://www.nature.com/articles/s41467-022-34880-8)</p> <p> </p> <p>From Karamperidou & DiNezio (2022):</p> <p>“To assess the response of ENSO flavors to orbital forcing over the past 12,000 years (12ka), we use a suite of time-slice experiments in 3ka intervals with version 1 of the Community Earth System Model (CESM1). Each experiment is 400-600 years long and was run until the surface climate and oceanic processes controlling tropical climate, such as the depth of the thermocline in the equatorial Pacific or the Atlantic Meridional Overturning Circulation (AMOC), have reached equilibrium. All simulations exhibit minimal drift in global mean surface temperature (less than 0.05<sup>o</sup>C per century), tropical mean surface temperature (less than 0.04<sup>o</sup>C per century), the depth of the equatorial thermocline in the Pacific (less than 0.3m per century), and the strength of the AMOC (less than 0.25 Sv per century) during the periods used in the analyses. With the exception of the 12 ka BP interval which includes ice sheet changes and lower greenhouse gases, the primary forcing in the 0, 3, 6, and 9 ka BP intervals is changes in Earth's precession, and each simulation branched off its preceding one, starting from 0ka sequentially through the Holocene. The maximum TOA energetic imbalance does not exceed 0.45 Wm<sup>-2</sup>, which is much smaller than the imposed radiative forcing.”</p> <p> </p> <p> </p> <p>Karamperidou, C., DiNezio, P.N. Holocene hydroclimatic variability in the tropical Pacific explained by changing ENSO diversity. <em>Nat Commun</em> <strong>13</strong>, 7244 (2022). https://doi.org/10.1038/s41467-022-34880-8</p>
PALEODEM/Late Glacial and Early Holocene human demographic responses to climatic and environmental change in Atlantic Iberia
<p>This data files and R markdown scripts have been used in the meta-analysis of chronological and subsistence patterns of Atlantic hunter-gatherer groups between Late Glacial and Early Holocene in Atlantic Iberia.</p> <p>They correspond to the following reference: </p> <p>McLaughlin, T.R., Gómez-Puche, M., Cascalheira, J., Bicho, N.F., Fernández-López de Pablo, J. 2020. Late Glacial and Early Holocene human demographic responses to climatic and environmental change in Atlantic Iberia. <em>Phil. Trans. R. Soc. B. </em>(revised submitted version 29/04/2020)</p> <p>We specify the content of each file further down:</p> <ol> <li>Analysis_markdown.Rmd – R markdown file with the scripts to reproduce the analyses.</li> <li>Analysis_markdown.pdf – R markdown file in pdf format to reproduce the analyses.</li> <li>database_references.docx –A separate text file that comprises the extended bibliographic references used as source of the archaeological radiocarbon archaeological and isotopic data sets analyzed.</li> <li>Datelist.csv – spreadsheet that contains the 371 radiocarbon dates used as raw data to run the scripts. The last column of the table includes the bibliographical reference of the archaeological data compiled.</li> <li>ngrip.csv – NGRIP GICC05 paleotemperature record based on oxygen isotope series from Rasmussen SO <em>et al.</em>2006 A new Greenland ice core chronology for the last glacial termination. <em>J. Geophys. Res. Atmos.</em><strong>111</strong>. (doi:10.1029/2005JD006079) and Andersen KK <em>et al.</em>2006 The Greenland Ice Core Chronology 2005, 15–42ka. Part 1: constructing the time scale. <em>Quat. Sci. Rev.</em>25, 3246–3257. </li> <li>Pailler_and_Bard_42.csv­­ – Sea surface temperature data of the Atlantic margin of Iberia based on the paper: Pailler D, Bard E. 2002 High frequency palaeoceanographic changes during the past 140 000 yr recorded by the organic matter in sediments of the Iberian Margin. <em>Palaeogeogr. Palaeoclimatol. Palaeoecol.</em>181, 431–452. (doi:https://doi.org/10.1016/S0031-0182(01)00444-8)</li> <li>Paleodiet.csv – spreadsheet containing the published palaeodietary isotopic information of the human remains considered in this study.</li> <li>src.r – source r code of custom functions called upon this analysis by the R.markdown files. </li> </ol> <p>To reproduce analyses reported in the McLaughlin et al Phil Trans paper, donwload R_scripts and csv_files into the same folder. Open the *.rmd scripts in RStudio (https://www.rstudio.com), and run the scripts. </p> <p>The csv files can also be imported into R and used by the scripts. </p> <p> </p> <p> </p> <p> </p>
Spatial and temporal heterogeneity in human mobility patterns in Holocene Southwest Asia and the East Mediterranean
<p>Koptekin et al. (2022) "<strong><em>Spatial and temporal heterogeneity in human mobility patterns in Holocene Southwest Asia and the East Mediterranean</em></strong>", Current Biology <a href="https://doi.org/10.1016/j.cub.2022.11.034">https://doi.org/10.1016/j.cub.2022.11.034</a></p>
Gridded depth and accumulation products from dated airborne radar stratigraphy over West Antarctica during the mid-Holocene, v.1.0.0
<p>This dataset comprises of codes (written in MATLAB) and gridded files (exported as GeoTIFF) presented in Bodart et al. (2023; The Crysophere; <a href="https://doi.org/10.5194/tc-2022-199">https://doi.org/10.5194/tc-2022-199</a>). A summary of the key findings from this study is provided as follows:</p> <p>"Using a spatially extensive IRH over Pine Island Glacier, Thwaites Glacier, and Institute and Möller Ice Streams (covering a total of 610 000 km2 or 30% of the WAIS), and a local layer approximation model, we infer mid-Holocene accumulation rates over the slow-flowing parts of these catchments for the past ~4700 years. By comparing our results with modern climate reanalysis models (1979 – 2019) and observational syntheses (1651 – 2010), we estimate that accumulation rates over the Amundsen-Weddell-Ross divide were on average 18% higher during the mid-Holocene than modern rates. However, no significant spatial changes in the accumulation pattern were observed."</p> <p>This dataset contains a series of files (5x .m files, 10x .tif files). The numbering of the figures in the description below refers to the order of the figures in the associated paper.</p> <ul> <li><strong> 5x MATLAB files:</strong> <ul> <li><strong>Calculate_accumulation_rates.m</strong>: calculates accumulation rates for the mid-Holocene-to-present, as well as uncertainties associated with the age and model structural uncertainty;</li> <li><strong>Calculate_D_parameter.m</strong>: calculates the D parameter (and associated L_path, L_H and L_b) to assess the feasability of the LLA over our grid;</li> <li><strong>Calculate_longitudinal_strain_rates.m</strong>: calculates the longitudinal strain rates over our grid from modern ice-flow velocities;</li> <li><strong>Calculate_vertical_strain_rates.m</strong>: calculates vertical strain rates for the mid-Holocene-to-present part of the ice column from accumulation estimates;</li> <li><strong>Resample_IRH_data.m</strong>: Re-samples the along-track IRH data into evenly distributed 500-m points for speeding up the gridding and calculations of accumulation rates;<br> </li> </ul> </li> <li><strong>10x GeoTIFF files:</strong> <ul> <li><strong>Holocene_IRH_depth_Fig2a.tif: </strong>Figure 2a;</li> <li><strong>Holocene_accumulation_rates_Fig3a.tif:</strong> Figure 3a;</li> <li><strong>Difference_Holocene_accumulation_RACMO2_Fig3c.tif:</strong> Figure 3c;</li> <li><strong>Relative_difference_Holocene_accumulation_RACMO2_Fig4.tif:</strong> Figure 4;</li> <li><strong>D_parameter_FigS1d.tif:</strong> Figure S1d;</li> <li><strong>Holocene_vertical_strain_rates_FigS2a.tif: </strong>Figure S2a;</li> <li><strong>Longitudinal_strain_rates_FigS2b.tif:</strong> Figure S2b;</li> <li><strong>Holocene_accumulation_lower_uncertainty_FigS4a.tif:</strong> Figure S4a;</li> <li><strong>Holocene_accumulation_upper_uncertainty_FigS4b.tif:</strong> Figure S4b;</li> <li><strong>Holocene_accumulation_relative_uncertainty_FigS4c.tif: </strong>Figure S4c;</li> </ul> </li> </ul> <p>Please also cite the associated paper when using this dataset.</p> <p>Any questions, please direct them to the corresponding author, Julien Bodart (julien.bodart@ed.ac.uk).</p>
Raincheck: A new diachronic series of rainfall maps for Southwest Asia over the Holocene - Supplementary Material
<p>Supplementary Online Material for the publication</p> <p>Hewett, Z., de Gruchy, M., Hill, D., and Lawrence, D. (forthcoming) Raincheck: A new diachronic series of rainfall maps for Southwest Asia over the Holocene. <em>Levant</em>.</p> <p>Included are all the necessary data files and scripts (R) needed to create the rainfall maps that are the subject of the article.</p>
Dataset: Human-vegetation dynamics in Holocene South-Eastern Norway based on radiocarbon-dated charcoal from archaeological excavations
<p>The repository contains radiocarbon data used in the paper <em>Human-vegetation dynamics in Holocene South-Eastern Norway based on radiocarbon-dated charcoal from archaeological excavations</em>, written by By Axel Mjærum, Kjetil Loftsgarden, and Steinar Solheim (University of Oslo).</p> <p>The paper is accepted for publication in The Holocene.</p> <p>ABSTRACT: Charcoal from archaeological contexts differs from off-site pollen samples as it is mainly a product of intentional human action. As such, analysis of charcoal from excavations is a valuable addition to studies of past vegetation and the interaction between humans and the environment. In this paper, we use a dataset consisting of 6,186 dated tree species samples from 1,239 archaeological sites as a proxy to explore parts of the Holocene forest development and human-vegetation dynamics in South-Eastern Norway.</p> <p>From the middle of the Late Neolithic (from <em>c</em>. 2000 BC) throughout the Early Iron Age (to <em>c</em>. AD 550) the region’s agriculture is characterized by fields, pastures, and fallow. Based on our data, we argue that these practices, combined with forest management, clearly altered the natural distribution of trees, and favoured some species of broadleaved trees. The past distribution of hazel (<em>Corylus avellana</em>) is an example of human impact on the vegetation. Today, hazel is not even among the 15 most common tree species, while it is one of the most prevalent species in the archaeological record before AD 550. The data indicate that this species was favoured already by the region’s Mesolithic hunter-fisher-gatherers, and that it was among the species that thrived extremely well in the early farming landscape. Secondly, our analysis also indicates that spruce (<em>Picea abies</em>) first formed large stands in the south-eastern parts of Norway <em>c</em>. 500 BC, centuries earlier than previously assumed. It is argued that this event, and a further westward expansion of spruce, was partly a consequence of a specific historical event – the first millennium BC farming expansion.</p>
Holocene temperature reconstruction using paleoclimate data assimilation
<p>A reconstruction of Holocene temperature made using paleoclimate data assimilation. Spatial and mean quantities are presented, as well as information about the experimental design and proxies. The code used to make this reconstruction is available at https://github.com/Holocene-Reconstruction/Holocene-code.</p>
PALEODEM/ Supplementary materials of the manuscript "Unraveling Early Holocene occupation patterns at El Arenal de la Virgen (Alicante, Spain) open-air site: an integrated palimpsest analysis"
<p>This repository hosts the R code scripts and datasets that allow reproducibility and replicability of the intra-site spatial analyses implemented in the paper:</p> <p>Rabuñal, J.R., Gómez-Puche, M., Polo-Díaz, A., Fernández-López de Pablo, J., 2022. Unraveling Early Holocene occupation histories at open-air sites through integrated chronological, archaeostratigraphical, lithic refitting and spatial analyses: the Arenal de la Virgen (Villena, Alicante) study case. SocArXiv.</p> <p>Contents:</p> <p>AV_Spatial_database.xlsx: main dataset for the intra-site spatial analysis.</p> <p>AV_Lcross_database.xlsx: dataset for the implementation of the cross-type L function.</p> <p>AV_2clusters.rds: dataset for the calculation of the artifact metrics.</p> <p>AV_MovingWindow_Results.csv: dataset with the results of the calculation of the Burnt Microdebris Index and its spatial autocorrelation analysis.</p> <p>AV_DBSCAN_Separation.R: R file containing the code used for the separation of the lithic spatial distribution using the DBSCAN automated density-based clustering algorithm.</p> <p>AV_Spatial_analysis.R: R file containing the code used for the intra-site spatial analysis.</p> <p>AV_MWA_Moran.R: R file containing the code for implementing the calculation and spatial autocorrelation analysis of the Burnt Microdebris Index.</p>
Exploiting the Greenland volcanic ash repository to date caldera-forming eruptions and widespread isochrons during the Holocene
<p>Polar ice-cores have long been recognised as unrivalled repositories of past volcanic events. Although tephra products from local eruptions tend to dominate these records, improvements in micro-sampling and analytical techniques are uncovering a growing number of cryptotephras erupted from exceptionally distant volcanoes. We present a series of nine Middle Holocene cryptotephra deposits detected within the NGRIP ice-core that originate from five different volcanic regions across the Northern Hemisphere (Alaska, Cascades, Iceland, Japan, Kamchatka). Unique compositional signatures are employed to identify ash from three large caldera-forming events in Kamchatka (KS<sub>2 </sub>from Ksudach), the Cascades (Mazama) and North East Japan (Mashu), along with ash from the Hekla 4 eruption in Iceland. High-precision ice-core ages (adopting a 1950 datum for the GICC05 timescale assigned to the Greenland ice cores) are derived for each eruption: Hekla 4 (4325 ± 8 a b1.95k), KS<sub>2</sub> (7089 ± 26 a b1.95k), Mashu (i-f) (7473 ± 33 a b1.95k) and Mazama (7562 ± 35 a b1.95k), all of which can be employed as chronological fix-points in other proxy records where these deposits are also preserved. Four further cryptotephra deposits and one macro-deposit (in the GRIP ice core) are also identified and traced to sources in Iceland and Alaska. The cryptotephra originating from Alaska is correlated to a deposit identified in lake records from the Kenai Peninsula, thought to originate from Redoubt Volcano. The remaining four deposits are typical of the products of Katla, Grímsvötn and Veiðivötn in Iceland. This ensemble of mid-Holocene tephra deposits highlights the pivotal position of the Greenland ice-sheet and its ice-cores to capture deposition from the convergence of several far-travelled ash clouds. Precise age estimates derived from the annually resolved ice-core record greatly enhances the value of these tephra isochrons.</p> <p> </p>
Data repository for "Spatio-temporal trends of Holocene peat carbon accumulation in China: climatic and human drivers"
<p>Dating results collected from peatlands in China are used to calculate the spatiotemporal trends of the Holocene peat accumulation rate (PAR) and net carbon balance (NCB), including all original dating, calculated intermediate results, and final composite results. This file includes a total of 14 tables (Supplementary Tables S1-S14).</p>
Supplementary material for "Palaeo-demographic modelling supports a population bottleneck during the Pleistocene-Holocene transition in Iberia"
<p>This Supplementary material encompasses the archaeological radiocarbon dates for the Iberian Peninsula analyzed in the article “<em>Palaeo-demographic modelling supports a population bottleneck during the Pleistocene-Holocene transition in Iberia</em>". Specifically:</p> <ul> <li>‘<strong>PALEODEM_dataset.csv</strong>’ provides the dataset in comma-separated format. Contains the compiled raw data of each radiocarbon date used by every analytical procedure.</li> <li>‘<strong>PALEODEM_sites.xlsx</strong>’ is a spreadsheet containing the basic information of each archaeological site analyzed in this work. The columns include ID_site, name of Archaeological site, n<sup>o</sup> of <sup>14</sup>C dates, n<sup>o</sup> of assemblages, Regional Unit of correspondence, and bibliographical Reference.</li> <li>‘<strong>REFERENCES for PALEODEM_sites.docx</strong>’ is a text archive that collects the bibliographical references listed in the above mentioned ‘Reference’ column, that have been the main sources of archaeological information.</li> </ul>
HOLSEA-NL: Holocene water level and sea-level indicator dataset for the Netherlands
<p>This dataset contains an assembly of geological water-level indicators, relevant for studying relative sea level rise (RSLR), regional subsidence quantification and causal breakdown, coastal prism accommodation and Holocene aggradation chronology of the Holocene Netherlands. It gives a sources-referenced, uniform overview of 658 basal geological water-level indicators collected from original research of various type and application (140 primary references). From the indicators, 59% was collected in 1950-2000, mainly in academic studies and survey mapping campaigns; 37% was collected in 2000-2020 in academic studies and archaeological surveying projects, 4% was newly collected (this study), the latter mainly in previously under sampled central and northern Netherlands regions. 117 are true sea-level indicators (so-called SLIPs), the majority of datapoints (536) are inland water level indicators that are upper limiting to sea-level. The total number of entries is 712, because we included some literature mentioned rejected samples and deep positioned intercalated water level indicators.</p> <p>The dataset is compiled in the so-called HOLSEA workbook format. It covers measured, calculated and classification fields defining the geological observational data and its uncertainties, allowing to document and assess indicative meaning adapted to specific use variants. Hereto, the workbook contains expansions to the original format. See Related Works (ESSD paper: De Wit et al. 2024).</p>
Spatial data sets of the paper Heinrich Stadial 1 continental sand dunes and Middle to Late Holocene paleosol sequences in SE Iberia: implications for human occupation and site formation processes
<p>Spatial data sets of the paper Heinrich Stadial 1 continental sand dunes and Middle to Late Holocene paleosol sequences in SE Iberia: implications for human occupation and site formation processes. This data set is composed by 3 shapefiles:</p> <ol> <li>Dune_field: Feature class polygon shapefile geometry representing the individual dunes identified in the Villena dune field.</li> <li>Sampled dunes: Shapefile of point geometry representing the location of the stratigraphic sequences of CC1, CC2 and CC3 sampled for texture, soil chemistry, OSL and radiocarbon dating. </li> <li>Sediment sourcing samples: Shapefile of point geometry representing the location of the reference samples of El Moron, El Arenal de la Virgen and Sierra del Castellar. </li> </ol> <p>The spatial reference system is EPSG 25830.</p>
Late-Holocene paleofloods in the Upper Little Tennessee River valley, Southern Blue Ridge Mountains, USA.
We derive a paleoflood chronology for the past 2000 years from three stratigraphic sections of overbank sediments with dates from radiocarbon, luminescence, 137Cs techniques, and historical records. Particle sizes were measured in 6-15 year intervals in post-1870 sediments and in 45-170 year intervals in pre-1870 sediments using an automatic laser analyzer. The sedimentological characteristics of ad 1948-2009 deposits were compared with gaging records, demonstrating that fine sand content and sorting discern time intervals of large floods, but flood magnitudes are not well resolved. This modern analog was applied to pre-1870 sediments and revealed two periods in the last 2000 years with large floods during AD 650-850 and AD 1100-1350, which are times when the regional tree-ring record showed extreme wetness and no severe or extreme droughts. Our findings indicate flood-prone phases of transitional climate at the beginning and end of the "Medieval Warm Period" (MWP), and relatively subdued flooding during the "Little Ice Age" (LIA), possibly correlated with rearrangement of macro-scale atmospheric circulation patterns between the MWP and the LIA. (Wang, L. and Leigh, D.S. 2012. Late Holocene paleofloods in the Upper Little Tennessee River Valley, Southern Blue Ridge Mountains, USA. The Holocene, 22(9): 1061-1066. DOI: 10.1177/0959683612437863.)
Holocene insect fossil data for Indian Peaks Wilderness and Rocky Mountain National Park, 1985 and 1993.
Insect fossil assemblages were analyzed from the Indian Peaks Wilderness and Rocky Mountain National Park. Assemblages span the last 10,000 years revealing climate change and the response of both insects and vegetation in the montane to upper subalpine zones. The Longs Peak Inn Bog site (LPIB) yielded insect assemblages ranging in age from recent to 3500 yr BP. This insect fossil record suggests climatic cooling at about 1800 yr BP and between 250 and 300 yr BP (AD 1700-1850). The bog may experience colder microclimates than the surrounding forests, yielding insect assemblages reflective of the colder, local microclimate. Also, alpine and upper subalpine insects may have been washed into the catchment basin of the bog from nearby slopes. Assemblages from four additional Front Range sites suggested a climatic optimum between 9000 and 7000 BP. Faunal evidence indicates a tree-limit decline at 4500 BP. Declining forest-tundra insect ratios, combined with the conifer macrofossil record, suggest a climatic deterioration from 4500 to 3100 BP followed by a rapid amelioration, from 3000 to 2000 BP. A gradual decline in the forest-tundra ratios occurred after 2000 BP, reaching 1:1 ratios at or before 1000 BP.
CT, XRF, MSCL data and reconstructions in support of Reilly et al., (2019) Holocene break-up and reestablishment of the Petermann Ice Tongue, Northwest Greenland
<p>Data sets include X-Ray Fluorescence (XRF), Computed Tomography (CT), and Multi-Sensor Core Logger (MSCL) data for cores collected from Petermann Fjord during the PETERMANN15 expedition of the Swedish Icebreaker Oden. Also, included are Fjord Ice-Rafted Debris (IRD) stacks and reconstructed Petermann Ice Tongue extents.</p> <p> </p> <p>XRF data includes data for OD1507 cores, 02UW, 03UW, 03PC, 03TC, 04GC, 06PC, 10PC, 40TC, 40PC.</p> <p>CT number data and CT derived IRD counts includes data for OD1507 cores, 02UW, 03UW, 03PC, 03TC, 04GC, 06PC, 08GC, 10PC, 40TC, 40PC.</p> <p>MSCL data includes data for OD1507 cores, 01UW, 02UW, 03UW, 01GC, 03PC, 03TC, 04GC, 06PC, 06TC, 08GC, 10PC, 10TC, 11GC, 12GC, 14GC, 37PC, 37TC, 40PC, 40TC, 41GC</p>
Holocene regional population dynamics and climatic trends in the Near East: a first comparison using archaeo-demographic proxies (dataset and R scripts)
<p>The present digital archive is the outcome of the paper: <strong>Palmisano, A., Lawrence, D., de Gruchy, M.W., Bevan, A., and Shennan, S., 2021. <a href="https://doi.org/10.1016/j.quascirev.2020.106739">Holocene regional population dynamics and climatic trends in the Near East: a first comparison using archaeo-demographic proxies</a>. <em>Quaternary Science Reviews</em>, <em>252</em></strong>.</p> <p>The dataset included here provides a collection of <strong>10,606</strong> radiocarbon dates, <strong>1884</strong> sites from archaeological surveys (1336 from Central Anatolia and 478 from Upper Mesopotamia) and <strong>16</strong> palaeoclimatic records for a period spanning between 14,000 and 2500 BP. In addition, the digital archive related to this paper provides reproducible analyses in the form of four scripts written in R statistical computing language.</p> <p>List of versions:</p> <ul> <li><strong>2.0.</strong> 15 December 2020 — Includes a few minor error corrections (the files 'References.txt' within the folder csv and the script 'radiocarbon.R').</li> <li><strong>1.0</strong> 28 November 2020 — First public release of the dataset on Zenodo.</li> </ul>
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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.