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396 results for “Archaeology”
Sea level data archaeology at Socoa (Saint Jean-de-Luz, France)
<p><strong>1. Description</strong></p> <p>This repository contains the data, notebooks, and documents covering the archeology and rescue of tide gauge observation at Socoa (Saint Jean-de-Luz, Southwestern France), and is complementary to the paper (henceforth "data paper") titled "Extension of high temporal resolution sea level time series at Socoa (Saint Jean-de-Luz, France) back to 1875".</p> <p>Authors: Md Jamal Uddin Khan, Inge Van Den Beld, Guy Woppelmann, Laurent Testut, Alexa Latapy, Nicolas Pouvreau</p> <p>For up-to-date sea level timeseries, visit the Shom data distribution portal linked in the Related identifier section below. At the time of writing, corrected and valid data over 1875 to date at original sampling is identified as 'Validées temps différé'.</p> <p>The data and source-codes presented here is open-access. Please consider citing the data paper if you use the data. More information is given in the Data-use section below.</p> <p>A brief structure of the files contained in this repository is shown below, and a brief description is given in the following sections -</p> <pre><code>|- data |- auxiliary |- brest_data.shom.fr/ |- santander_marcos_etal.dat |- socoa |- data.shom.fr/ |- corrections.csv |- corrections_marigram.csv |- corrections_registry.csv |- data_inventory.csv |- socoa_L0.csv |- socoa_L1.csv |- socoa_L2.csv |- socoa_L2_nominal.csv |- socoa_L3.csv |- socoa_L4.csv |- socoa_raw.txt |- documents |- archive_records |- AD64__Pau_4S 33.docx |- Archives_Shom_plusieursCotes.docx |- SHD_Brest_MB3W.docx |- SHD_Rochefort_7JJ418-7JJ1551.docx |- SHD_Vincennes_plusieurCotes.docx |- tidegauge_journal |- <year>_Socoa_Notes_Registres.docx |- inventory.xlsx |- figures |- figure01 |- ... |- figure 06 |- supp |- notebooks |- 01_data_processing.ipynb |- 02_buddy_checking.ipynb |- 03_trend_analysis.ipynb |- README.md</code></pre> <p><strong>2. Data and codes</strong></p> <p><strong>2.1 Data (<em>/data</em>)</strong></p> <p>Data directory (/data) contains two folder - auxiliary, and socoa.</p> <p>/data/socoa contains raw data (socoa_raw.txt) as well as processed dataset (socoa_L*.csv). The directory also contains information regarding the data inventory (data_inventory.csv), and the corrections applied during the processing (corrections_*.csv). A snapshot of data from https://data.shom.fr (April 2022) is also available in the /data/socoa/data.shom.fr directory.</p> <p>Data files corresponding to various level of dataset is following -</p> <ol> <li>Level 0: No corrections applied (/data/socoa/socoa_L0.csv)</li> <li>Level 1: Time corrections applied, including conversion to UTC time (/data/socoa/socoa_L1.csv)</li> <li>Level 2: Time and height corrections applied (/data/socoa/socoa_L2.csv)</li> <li>Level 3: Hourly interpolated and merged with existing data (/data/socoa/socoa_L3.csv)</li> <li>Level 4: Hourly data additionally flagged for siltation from tidal analysis (/data/socoa/socoa_L4.csv)</li> </ol> <p>All datafiles are provided as standard comma-separated text files encoded in utf-8. The final Level 4 data has three columns with column header titled - Datetime, Value, and Flag, where,</p> <ul> <li>Datetime: The UTC timestamp of the data</li> <li>Value: Sea level with respect to Hydrographic Zero</li> <li>Flag: Data flag as described in the data paper</li> </ul> <p>In addition, Level 4 data contains the following information header -</p> <pre><code># Station: SAINT-JEAN-DE-LUZ_SOCOA # Longitude: -1.68162 # Latitude: 43.39524 # Organization: Shom, Pyrénées-Atlantiques # Timesystem: UTC # VerticalReference: Hydrographic Zero # Unit: m # Flag: 4-bit flags yes(1)/no(0) - [siltation][uncertain_correction][height_correction][time_correction] # DOI_DataPaper: Data: 10.5281/zenodo.7438469, Article: 10.5194/essd-2022-443 # DOI_SHOM: 10.17183/REFMAR#95</code></pre> <p>/data/auxiliary contains the auxiliary dataset used for analysis and comparison in the data paper. Brest dataset, /data/auxiliary/brest_data.shom.fr, is retrieved from https://data.shom.fr. Monthly sea level at Santander, /data/auxiliary/santander_marcos_etal.dat, comes from the dataset published by Marcos et al. (2020).</p> <p><strong>2.2 Documents (<em>/documents</em>)</strong></p> <p>The <em>/documents</em> folder contains supplimentary documents related to the dataset.</p> <p><em>/documents/tidegauge_journal</em> contains the extraction from the tide gauge journal year by year. The files are named as – <em>YEAR_Socoa_Notes_Registres.docx</em> where <em>YEAR</em> is the 4-digit year.</p> <p><em>/documents/archive_records</em> contains the excerpts of metadata documents from the various archives. For 5 archives, 5 separate files are provided. These archives are and file names are –</p> <ol> <li>Service historique de la Défense (SHD) at Brest (SHD-Brest): <em>SHD_Brest_MB3W.docx</em></li> <li>Service historique de la Défense (SHD) at Rochefort (SHD-Rochefort): <em>SHD_Rochefort_7JJ418-7JJ1551.docx</em></li> <li>Service historique de la Défense (SHD) at Vincennes (SHD-Vincennes): <em>SHD_Vincennes_plusieurCotes.docx</em></li> <li>Archives des Pyrénées-Atlantiques (AD64): <em>AD64_Pau_4S 33.docx</em></li> <li>SHOM archive: <em>Archives_Shom_plusieursCotes.docx</em></li> </ol> <p><em>/documents/inventory.xlsx</em> gives an overall inventory of the historic documents catalogued.</p> <p><strong>2.3 Figures (<em>/figures</em>)</strong></p> <p>The figures directory (<em>/figures</em>) contains the figures presented in the accompanying data paper organized into individual directories for each figure. The most of the figures related to the analysis is generated using python and their source-code is provided in the <em>/notebooks</em> directory. In case where external graphical software has been used for generating the final image is provided inside the directory for each individual figure.</p> <p><strong>2.4 Codes (<em>/notebooks</em>)</strong></p> <p>The codes used in processing this data is provided in the `/notebooks` directory. The full code is segmented into three self-contained python/jupyter notebooks -</p> <ol> <li>Data processing (<em>01_data_processing.ipynb</em>)</li> <li>Buddy checking (<em>02_buddy_checking.ipynb</em>)</li> <li>Trend analysis (<em>03_trend_analysis.ipynb</em>)</li> </ol> <p> </p> <p>The python environment necessary for running the notebooks can be created using <em>conda</em> (https://www.anaconda.com/products/distribution) with the following commands -</p> <pre><code class="language-bash">conda create -n socoa python=3.7 numpy scipy statsmodels cartopy netcdf4 pandas xarray jupyter conda activate socoa pip install utide==0.2.6 jupyter-notebook</code></pre> <p> </p> <p><strong>3. Data-use information</strong></p> <p>Citation: Khan, M. J. U., Van Den Beld, I., Wöppelmann, G., Testut, L., Latapy, A., and Pouvreau, N.: Extension of high temporal resolution sea level time series at Socoa (Saint Jean-de-Luz, France) back to 1875, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2022-443, in review, 2023.</p> <p>Use rights: The data and source-code is freely available to anyone. Please consider citing the data paper using the citation above.</p> <p>License: Creative Commons Attribution 4.0 International (CC BY 4.0)</p> <p> </p> <p><strong>4. Related identifiers</strong></p> <ul> <li>SHOM historical dataset portal: http://refmar.shom.fr/dataRescue/HTML/FR/SOCOA%20(SAINT-JEAN-DE-LUZ).html</li> <li>SHOM data distribution portal: http://dx.doi.org/10.17183/REFMAR#95</li> </ul>
Data from: Preserved collagen reveals species identity in archaeological marine turtle bones from Caribbean and Florida sites
Open the record for dataset details and reuse information.
Increasing sustainability in palaeoproteomics by optimizing digestion times for large-scale archaeological bone analyses
Open the record for dataset details and reuse information.
Supplementary information from: An extensive archaeological dental calculus dataset spanning 5000 years for ancient human oral microbiome research
Open the record for dataset details and reuse information.
Geopackage of data for Historical Archaeology and JOAD article
<p>This file is a Geopackage database that includes the following:</p> <p>For raster files, *Raw* indicates that data is the same as the previously archived version and "Rendered" indicates the visualization of that data. </p> <p>"DigitalElevationModelRaw" and "DigitalElevationModelRendered" are based upon Digital Elevation Model for Blue Mountain Charcoal Research Project. <a href="https://zenodo.org/record/1252441">https://zenodo.org/record/1252441</a></p> <p>"HillshadeRaw" and "HillshadeRendered" are based upon Hillshade Analysis of "Digital Elevation Model for Blue Mountain Charcoal Research Project". <a href="https://zenodo.org/record/1252520">https://zenodo.org/record/1252520</a></p> <p>"SlopeRaw" and "SlopeRendered" are based upon Slope Analysis of "Digital Elevation Model for Blue Mountain Charcoal Research Project". <a href="https://zenodo.org/record/1252977">https://zenodo.org/record/1252977</a></p> <p>"Hearths" = Identified Charcoal Hearths from "Slope Analysis of 'Digital Elevation Model for Blue Mountain Charcoal Research Project'". <a href="https://zenodo.org/record/1252985">https://zenodo.org/record/1252985</a></p> <p>"ResearchArea" = Blue Mountain Charcoal Project Research Area. <a href="https://zenodo.org/record/1252418">https://zenodo.org/record/1252418</a></p> <p>The collection of this data is described here:</p> <p>Description of Methods for Identifying Charcoal Hearths along the Blue Mountain of Pennsylvania. <a href="https://zenodo.org/record/1255101">https://zenodo.org/record/1255101</a></p> <p>And is published here:</p> <p>Carter, Benjamin P. 2019. “Identifying Landscape Modification Using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania.” <em>Historical Archaeology</em> 53 (2): 432–43. <a href="https://doi.org/10.1007/s41636-019-00171-1">https://doi.org/10.1007/s41636-019-00171-1</a>.</p> <p>Carter, Benjamin. 2019. “Data for ‘Identifying Landscape Modification Using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania.’” <em>Journal of Open Archaeology Data</em> 7 (July). <a href="https://doi.org/10.5334/joad.53">https://doi.org/10.5334/joad.53</a>.</p> <p>This data can be visualized here: NEEDED</p>
MALDI-TOF-MS archaeological spectra and for African bovid collagen for Zooarchaeology by Mass Spectrometry (ZooMS) from Zambia
<p>The MALDI data for archaeological samples from Zambia. The spectra are all in the folder in .mzml format. The samples are labeled the same as in the corresponding manuscript. The modern African bovid spectra that were used to determine markers can be found at Zenodo doi:10.5281/zenodo.3964709.</p>
Botanical Analysis of Middle Horizon (AD 600-1000) Archaeological Contexts of the Upper Majes Valley, Arequipa Peru
<p>In 2019, paleobotanical analyses were conducted by the laboratory Arqueobios, Inc. located in Trujillo, Peru under the supervision of Víctor F. Vásquez Sánchez. Samples were collected from archaeological contexts from four sites that correspond to the Middle Horizon period (AD 600-1000) including Santa Rosa II, La Angostura, El Tambo, and Pakaytambo.</p> <p>Macrobotanical and microbotanical starch and phytolith analyses identified evidence of maize, potato, yuca, bottle gourd, and a variety of wild species.</p> <p>This data is a component of the PhD dissertation entitled <em>Networks of Empire: The Role of Infrastructure in Wari State Expansion in Arequipa, Peru (AD 600-1000)</em> by David A. Reid (University of Illinois at Chicago).</p> <p>Funding was provided by the National Science Foundation’s Doctoral Dissertation Research Improvement Award (#1854651).</p>
Archaeological mitogenomes illuminate the historical ecology of sea otters (Enhydra lutris) and the viability of reintroduction
<p class="CxSpFirst">Genetic analyses are an important contribution to wildlife reintroductions, particularly in the modern context of extirpations and ecological destruction. To address the complex historical ecology of the sea otter (<i>Enhydra lutris</i>) and its failed 1970s reintroduction to coastal Oregon, we compared mitochondrial genomes of pre-extirpation Oregon sea otters to extant and historical populations across the range. We sequenced the first complete ancient mitogenomes from archaeological Oregon sea otter dentine and historical sea otter dental calculus. Archaeological Oregon sea otters (N=20) represent ten haplotypes, which cluster with haplotypes from Alaska, Washington, and British Columbia, and exhibit a clear division from California haplotypes. Our results suggest that extant northern populations are appropriate for future reintroduction efforts. This project demonstrates the feasibility of mitogenome capture and sequencing from non-human dental calculus and the diverse applications of ancient DNA analyses to pressing ecological and conservation topics and the management of at-risk/extirpated species.</p>
FIG. 1 in Catching tuna in the Aegean: biological background of tuna fisheries and the archaeological implications
FIG. 1. — Map of the Aegean Sea with sites mentioned in the text noted on it. Credits: V. Triggas.
Archaeological Field School: Clay Pipe 2
This is another piece of the clay pipe that was excavated at the site of a WWI Spruce Mill adjacent to Fort Vancouver in SW Washington State. The site is currently being used as an archaeological field school location for the National Park Service. The purpose of these models is to find a quick and accurate way to digitally document an archaeology site beyond standard photos and drawings. These models can be uses for educational purposes and an interactive way for the people to visit a site usually not open to the public. Source: Objaverse 1.0 / Sketchfab
Ancient Archaeology site on Khabur River
Ancient ruin site on Khabur (Euphrates) River. Some have proposed this to be a possible location for the Tower of Babel as recorded in the Book of Genesis in the Bible. The remains of the main square structure is about 125 feet tall, and 650 feet long on each side, with the immediate surrounding tell at about 40 acres in area. GIS survey reveals a larger surrounding settlement city, now mostly under surrounding agricultural fields. This exact location matches cartography locations on a number of ancient maps for the Tower of Babel. A more modern green-domed tomb shrine of Sheikh Abu Haddlan Isa has been built on the southeast corner. -Nate Loper Source: Objaverse 1.0 / Sketchfab
Southwark Cathedral Archaeological Ruins
Archaeology excavations in the Lancelot's Link on the north side of Southwark Cathedral, London. These remains we're revealed in 1999 and include a Roman road, part of the foundation of the Norman Priory, curve of a Norman apse and a medieval stone coffin. 298 photos taken in July 2021 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Interactive Citation Networks for Texas Archaeology
<p>This dataset includes the JavaScript used to generate two interactive citation networks. IntNetFig1 includes the network filtered by the giant component and nodes sized by OutDegree, and IntNetFig2 is the same network filtered by a degree of two, nodes sized by Eigenvector Centrality and colored by modularity class.</p>
Texas Archaeology Publications--Network Data
<p>This dataset was harvested from Scopus using the search "Texas AND archaeology." These data were then used to generate a citation network used to explain how the work of Texas archaeologists articulates with one another. </p>
Monitoring of large-scale archaeological excavations using photogrammetric techniques - Nea Paphos case study
<p>Photogrammetric data (images) for five contexts from a single archaeological trench from the Paphos Agora Project (Excavations conducted in Nea Paphos Archaeological Site by Jagiellonian Unversity in Krakow - under the direction of Prof. Ewdoksia Papuci-Władyka). Images for photogrammetric modelling of all contexts were taken in 2015 with the NIKON D7100 camera (24 Mpx resolution), with the number of images per model varying from 25 to 41. For photogrammetric processing, the Agisoft PhotoScan and Reality Capture were used. </p><p>The data (images) were uploaded together with project files from Agisoft Metashape and RealityCapture, exported results (3D models, orthoimages and DEMs) and reference data - point clouds from terrestrial laser scanner measurements are available as supplementary material for the article in Journal of Archaeological Science: Reports. Also, data for one layer below and above, which do not include reference point clouds, have been added.</p>
Faunal remains data from Paleolithic to early Iron Age archaeological sites in the Qinghai-Tibet Plateau in China
<p>According to published archaeological sources, zooarchaeological data collection on the Qinghai-Tibet Plateau and its marginal and transitional areas is inadequate, and relevant datasets have not been published. For this reason, we collected and collated relevant information. Our database provides the geographical location, elevation, cultural type and faunal assemblage of each site on the Qinghai-Tibet Plateau and its periphery for which zooarchaeological data have been published from the Paleolithic to the Early Iron Age. The patterns of human faunal resource use, habitat patterns, and animal abundance and spatial distribution on the Qinghai-Tibet Plateau and its surrounding areas during the Prehistoric-Early Iron Age are represented in this dataset. The data provide a reference for further understanding prehistoric-early Iron Age human behavior, subsistence patterns and material and cultural exchanges between East and West on the Qinghai-Tibet Plateau and its environs.</p>
El Coporo archaeological area
Piramid at the El Coporo archaeological area, located at Guanajuato, Mexico Source: Objaverse 1.0 / Sketchfab
Darlington Mess Hall archaeology
Archaeological investigation undertaken during floor repairs in the convict mess hall at the historic Darlington Probation Station, Maria Island, Tasmania. Source: Objaverse 1.0 / Sketchfab
Sutton Hoo Ship Archaeology Site Suffolk England
Sutton Hoo ship burial and Royal Cemetary site with annotations of mounds 1–4, excavated by Basil Brown. The 2021 Netflix movie "The Dig" is based on the real life events surrounding one of the greatest archaeological finds in the world, and one of the most notable pre-Viking Saxon era from the 6th to 7th centuries. Starting in 1938, archaeolgists have continued working here and the surrounding areas until the modern age, with a number of new discoveries in the early 2000s. Treasures include armor, chain mail, helmets, gold, silver, garnet inlay, and much more. Many of these artifacts can be see in the British Museum in London, England. The fantastic tale of this discovery can be seen on the new Netflix film staring Carey Mulligan, Raplh Fiennes, Lily James, and Archie Barnes. Information relating the film to real life, and original pictures of the dig can be found on the UK National Trust website at https://www.nationaltrust.org.uk/sutton-hoo/features/digging-the-dirt-the-true-story-behind-the-dig Source: Objaverse 1.0 / Sketchfab
Archaeological Field School: Foundation Rubble
The Archaeological Field School conducted by the National Park Service uncovered the remnants of the foundation of a WWI era Spruce Mill. The site was later graded to create additional landings for the Pearson Airfield, one of the two oldest continuously operating airfields in the US. The use of scanning is optimal to digitally capture daily excavations as the site changes day to day. The 3D model relates detailed information that can not be acquired with traditional photos and sketches. Source: Objaverse 1.0 / Sketchfab
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International Brain Laboratory public data
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OpenNeuro
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