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329 results for “excavation”
The impact of the presence of the crayfish Faxonius virilis on the excavating behavior of Faxonius propinquus, Michigan, 2025
Faxonius propinquus are native crayfish to the Upper Midwest. They are burrowing crayfish that work the sediment and make small burrows with numerous openings. These crayfish are imperiled by Faxonius virilis which overlap in niche structure. We were interested in the impact of the chemical cues emanating from F. virilis on the sediment and burrowing nature of F. propinquus. We conducted a study at the University of Michigan's Biological Station using F. propinquus caught in nearby Douglas Lake. In addition, we collected marl substrate from where these animals are found. We created flow through mesocosms and placed F. propinquus in the mesocosm with marl substrate. Then upstream of this, we placed a F. virilis in a flow through container to allow chemical cues from F. virilis to reach F. propinquus. We did a 48 hour study where 24 hours were with a competitor chemical cue and 24 were without. This 48 cycle was repeated to provide discrete 48 hour replicates. We monitored sediment working behavior at night and during the day.
Multi-faceted analyses of Poland's Bronze and Early Iron Age hoards: Fig.5. Pottery (A, C), animal bones (B), a human skull (C, D), and a flint tool (D) excavated from underneath the stone layer in Kaliszany (archaeological site no. 3)
<p>The set contains a figure, with with photographs that show examples of finds discovered during excavations at archaeological site 3 in Kaliszany, Wągrowiec commune, Poland. It is a stone and earth structure in which a hoard of metal objects dating to the Late Bronze Age was discovered in 1943. The photo is from the 2022 survey, when the south-western part of the structure was explored. <br><br>The paper and data were prepared as part of a project funded by the National Science Centre, Poland: <em>A Biography of Late Bronze and Early Iron Ages Hoards. A Multi-Faceted Analysis of Metal Objects Related to Monumental Constructions in Poland</em> (UMO-2021/41/B/HS3/00038)</p>
Bakraur बक्रौर, Bihār. Stūpa identified as Sujātā Maṭh, under excavation.
<p><a href="https://en.wikipedia.org/wiki/Bakraur">Bakraur</a> बक्रौर, Bihār. Stūpa identified as Sujātā Maṭh, under excavation. The stūpa, popularly if erroneously identified by the Burmese in the 20th century as the location where Sujātā offered rice milk to the Buddha, dates to the Pāla period and was excavated in 2006.</p>
Bakraur बक्रौर, Bihār. Stūpa identified as Sujātā Maṭh, under excavation.
<p><a href="https://en.wikipedia.org/wiki/Bakraur">Bakraur</a> बक्रौर, Bihār. Stūpa identified as Sujātā Maṭh, under excavation. The stūpa, popularly if erroneously identified by the Burmese in the 20th century as the location where Sujātā offered rice milk to the Buddha, dates to the Pāla period and was excavated in 2006.</p>
Excavator-generated information from Linux drivers (Decoder Use-Case A)
<p>This dataset is released as part of DECODER's D6.2 deliverable. It contains the information generated by the Excavator tool for easing the verification with Frama-C of the watchdog and ethernet Linux drivers that have been selected as Use-Case A of the project.</p>
The Femern-project: a large-scale excavation of a Stone Age landscape - supplementary data
<p>This dataset contains all radiocarbon dates from the Femern project.</p> <p>Please cite the dataset as: </p> <p>Måge, B.T., Groß, D., Kanstrup, M. 2023. The Femern-project: a large-scale excavation of a Stone Age landscape. In: Groß, D. and Rothstein, M.: Changing Identity in a Changing World. Archaeological Studies on Human Interaction in Northern Europe around 4000 cal BC. Leiden: Sidestone, supplementary material.</p> <p>19.02.2024: Dataset updated: Wrong species ID in original dataset for AAR-27426</p>
Pirro Nord 13 excavation dataset (Apricena, FG, Italy)
<p>Pirro Nord 13 dataset containing the spatial coordinates of archaeological material (bones/teeth and lithics) from the 2012, 2013, 2014, 2015, 2017, 2018, 2019, 2021, 2022 and 2023 excavations. </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>
बोधगया, बिहार. General view of the excavations on the north side of the main temple.
<p>बोधगया, बिहार. General view of the excavations on the north side of the main temple. British Museum 1897,0528,0.125 a. © ब्रिटिश म्यूजियम</p>
Sri Ksetra, Bago, Myanmar. Burial urn as excavated in 1912 at the Pyutaik terrace adjacent to the Payama stūpa.
<p>Sri Ksetra, Bago, Myanmar. Burial urn as excavated in 1912 at the Pyutaik terrace adjacent to the Payama stūpa. </p>
Sri Ksetra, Myanmar. Cross-section of the Excavations at the Yahanda Mound (2014-16) HMA.59 (test pit 8 & 9)
<p>Janice Stargardt, Sri Ksetra, Myanmar. Cross-section of the Excavations at the Yahanda Mound (2014-16) HMA.59 (test pit 8 & 9) carried out under <a href="https://cordis.europa.eu/project/id/609823">ERC synergy grant 609823.</a> </p>
Main sediment profiles and 3D-pdf from archaeological wetland excavation at Immensee-Dorfplatz
<p>These are a 3D model and the longest and most representative sediment profiles through the waterlogged Late Neolithic lakeside site of Immensee-Dorfplatz (SZ). </p>
Pottery from the Northwest Quarter, Jerash, Jordan excavated by the Danish-German Jerash Northwest Quarter Project
<p>This dataset consists of counts and descriptions of ceramic finds and their chronology at the archaeological site of the Northwest Quarter, Jerash, Jordan. It derives from the Danish-German Jerash Northwest Quarter Project led by. Achim Lichtenberger (University of Munster, Germany) and Rubina Raja (Aarhus University, Denmark) between 2011-2018.</p> <p>The folder includes the data analysis script developed by Iza Romanowska.</p> <p>It constitutes the supplementary information for the following publication:</p> <p>Romanowska, I., Lichtenberger, A., Raja, Rubina. 2021 “Trends in Ceramic Assemblages from the Northwest Quarter of Gerasa/Jerash, Jordan.” <em>Journal of Archaeological Science: Reports.</em></p>
Bodhgayā, Bihar, India. Buddha as excavated in the nineteenth century
<p>Bodhgayā, Bihar, India. Buddha as excavated in the nineteenth century. British Museum 1897,0528.0 series, photograph collected by Alexander Cunningham, bequeathed by A. W. Franks.</p>
Excavating Flemish Archaeological Texts
<p>We have applied a number of innovative quantitative research methods to all archaeological literature produced during the period 1945-2017 about the territory of Belgium. Only literature in Dutch was selected for this study since multilingual analysis would have gone beyond the scope of this research. Over 4,500 archaeological documents were included in this study, totaling over 51 million words. All types of documents were assessed ranging from monographs, journal articles to published excavation reports. In order to prevent copyright infringement, we removed all conjunctions, articles, and all words smaller than 4 letters. Additionally, we included a stoplist and all available metadata that is necessary to replicate the research. </p>
Nicosia, Cyprus. Bedesten, interior, architectural fragments revealed by excavation.
<p>Nicosia, Cyprus. Bedesten, interior, architectural fragments revealed by excavation in southern aisles, as restored and conserved in 2010.</p>
Dataset for the paper "A framework for robotic excavation and dry stone construction using on-site materials"
<p>Stone data from the <i>Science Robotics</i> paper "A framework for robotic excavation and dry stone construction using on-site materials" containing:</p><ul><li>Mesh files of 1,100 stones (quarried boulders, erratics, and concrete debris) that were digitized by the autonomous excavator HEAP<ul><li><a href="https://zenodo.org/api/records/10038881/draft/files/1100%20Unprocessed%20Stone%20Meshes.zip/content">1100 Unprocessed Stone Meshes.zip: </a>Raw mesh files directly from the poisson reconstruction of accumulated LiDAR points, containing some artifacts and floating geometries</li><li><a href="https://zenodo.org/api/records/10038881/draft/files/1100%20Closed%20Stone%20Meshes.zip/content">1100 Closed Stone Meshes.zip: </a>Clean, closed, downsampled meshes</li><li><a href="https://zenodo.org/api/records/10038881/draft/files/Stone_Shape_Properties.csv/content">Stone_Shape_Properties.csv: </a>Properties file with a list of the stone IDs (IDs in the 1xxx and 3xxx range typically correspond to concrete elements) and select shape properties</li></ul></li><li>A dataset of candidate placements from automatically generated stone walls. The candidate placement data zip files contain:<ul><li><a href="https://zenodo.org/api/records/10038881/draft/files/Candidate_Placement_Data-npy.zip/content">Candidate_Placement_Data-npy.zip: </a>SDF (.npy) representation of each candidate, with three channels of 32x32x32 for distances to the stone, the already-placed stones, and the target wall</li><li><a href="https://zenodo.org/api/records/10038881/draft/files/Candidate_Placement_Data-pcd.zip/content">Candidate_Placement_Data-pcd.zip: </a>Point cloud (.pcd) representations of each candidate, with separate files for the placed stone, target wall (search volume), and already-placed stones (where they exist)</li></ul></li><li><a href="https://zenodo.org/api/records/10038881/draft/files/sdf_classifier.zip/content">sdf_classifier.zip: </a>Python examples:<ul><li>Rendering the three channel SDF data to mesh geometry using marching cubes and libigl</li><li>Candidate SDF classification using the pretrained model</li></ul></li><li>Candidate attributes and labels<ul><li><a href="https://zenodo.org/api/records/10038881/draft/files/candidate_attributes_labels.csv/content">candidate_attributes_labels.csv: </a>CSV file containing a list of UUID's corresponding to each candidate placement in the dataset. For each candidate, additional information is included about the dimensions and location of the solution, together with the (subjectively) hand-labelled binary value for placement viability. </li></ul></li><li><a href="https://zenodo.org/api/records/10038881/draft/files/README.md/content">README.md: </a>An additional readme with some details on the attributes file</li></ul><p>If you use this data in your research, please cite the <a href="https://www.science.org/doi/10.1126/scirobotics.abp9758">journal article</a>.</p><p> </p>
Рис. 12. Характер фрагментации и повреЖдений створок спиЗулы сахалинской Spisula sachalinensis иЗ раскопа 1. Fig. 12. Fragmentation and preservation patterns of valves of Spisula sachalinensis from excavation 1. in Mollusks from the shell-midden of the Telyakovskogo 2 site in southern Primorye (Yankovskaya culture), their paleoecology and role in paleoeconomy
Рис. 12. Характер фрагментации и повреЖдений створок спиЗулы сахалинской Spisula sachalinensis иЗ раскопа 1. Fig. 12. Fragmentation and preservation patterns of valves of Spisula sachalinensis from excavation 1.
Рис. 11. Характер фрагментации створок приморского гребешка (Mizuhopecten yessoensis) иЗ раскопа 1. Fig. 11. Fragmentation patterns of valves of the Japanese scallop (Mizuhopecten yessoensis) from excavation 1. in Mollusks from the shell-midden of the Telyakovskogo 2 site in southern Primorye (Yankovskaya culture), their paleoecology and role in paleoeconomy
Рис. 11. Характер фрагментации створок приморского гребешка (Mizuhopecten yessoensis) иЗ раскопа 1. Fig. 11. Fragmentation patterns of valves of the Japanese scallop (Mizuhopecten yessoensis) from excavation 1.
Рис. 10. Характер повреЖдений створок приморского гребешка (Mizuhopecten yessoensis) иЗ раскопа 1. Fig. 10. Fragmentation patterns of valves of the Japanese scallop (Mizuhopecten yessoensis) from excavation 1. in Mollusks from the shell-midden of the Telyakovskogo 2 site in southern Primorye (Yankovskaya culture), their paleoecology and role in paleoeconomy
Рис. 10. Характер повреЖдений створок приморского гребешка (Mizuhopecten yessoensis) иЗ раскопа 1. Fig. 10. Fragmentation patterns of valves of the Japanese scallop (Mizuhopecten yessoensis) from excavation 1.
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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)
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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.