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70 results for “data archaeology”
Рис. 1. Карта РеспубΛики Саха (Якутия) с обозначением места распоΛожения археоΛогических памятников Àжампа, Кузнец I, II Àабан-Юрях, Буор-Хая I, II, III. Fig. 1. Map of the Republic of Sakha (Yakutia) indicating the location of the archaeological sites Jampa, Kuznets I, II Daban-Yuryakh, and Buor-Khaya I, II, III in New data on the Holocene vertebrate fauna of the Middle Lena and Aldan Rivers basins (Yakutia) based on the materials from archaeological sites Jampa, Kuznets I, II Daban-Yuryakh, and Buor-Khaya I, II, III
Рис. 1. Карта РеспубΛики Саха (Якутия) с обозначением места распоΛожения археоΛогических памятников Àжампа, Кузнец I, II Àабан-Юрях, Буор-Хая I, II, III. Fig. 1. Map of the Republic of Sakha (Yakutia) indicating the location of the archaeological sites Jampa, Kuznets I, II Daban-Yuryakh, and Buor-Khaya I, II, III
Рис. 2. НижнечеΛюстные кости из шурфа Ш-1, кв. Б-3: А — собоΛь (Martes zibellina); Б — заяц-беΛяк (Lepus timidus); В — пищухи (Ochotona sp.) Fig. 2. Mandibular bones from D-1, sq. B-3: A — sable (Martes zibellina); Б — white hare (Lepus timidus); В — pikas (Ochotona sp.) in New data on the Holocene vertebrate fauna of the Middle Lena and Aldan Rivers basins (Yakutia) based on the materials from archaeological sites Jampa, Kuznets I, II Daban-Yuryakh, and Buor-Khaya I, II, III
Рис. 2. НижнечеΛюстные кости из шурфа Ш-1, кв. Б-3: А — собоΛь (Martes zibellina); Б — заяц-беΛяк (Lepus timidus); В — пищухи (Ochotona sp.) Fig. 2. Mandibular bones from D-1, sq. B-3: A — sable (Martes zibellina); Б — white hare (Lepus timidus); В — pikas (Ochotona sp.)
Data and scripts for the paper Building a Low-cost UAV-based LiDAR Sensor for Landscape Archaeology
<p>This repository contains the modified OpenMMS scripts for Linux and Raspberry Pi firmware for LiDAR sensor presented in the paper Building a Low-cost UAV-based LiDAR Sensor for Landscape Archaeology at the CAA 2024 conference in Auckland, New Zealand. Included are the LiDAR and trajectory data collected at the site of Antiochia ad Cragum in 2022 in an area roughly north-east of what is known as the Small Bath Area. Each zip file contains two adjacent flights oriented either principally east-west or north-south. The four flights cover the same area in an overlapping pattern.</p> <p>The LiDAR and trajectory data are released under the Creative Commons Attribution 4.0 International license and the modified OpenMMS firmware and scripts are released under the original GNU GPL v3.0 or later license.</p>
Surface Survey and Legacy Data in the Upper Plain of the Heraion of Perachora: The Perachora Peninsula Archaeological Project 2020 [Digital Supplement with updated polygons from 2020]
<p><strong>The digital Supplement </strong>contains figures in original size (TIFF) & digital data (SHP, CSV). The data can be also found in the linked GitHub repository <a href="https://github.com/sdam-au/perachora-medit-arch/">https://github.com/sdam-au/perachora-medit-arch/</a>.</p> <p> </p> <p><strong>Abstract</strong></p> <p>The Perachora Peninsula Archaeological Project held its first season of intensive surface survey from 12 January to 2 February 2020, during which time we focused on the region called the Upper Plain, situated above the sanctuary of Hera, which was in use from the 8th to the 2nd century BC. The nature of this area has been disputed, with Humfry Payne seeing it as a substantial town, while Richard Tomlinson referred to it as “a sporadic scatter of structures.” In order to clarify the nature of the settlement we employed a two-pronged effort: first to verify and document the legacy data in Tomlinson’s plan of the area, and second to conduct intensive surface survey from the boundary of the sanctuary to Lake Vouliagmeni. Within three weeks, our teams measured, photographed, and took the coordinates of nearly all the structures on Tomlinson’s plan, which included domestic structures, a small temple, and an extensive waterworks system, and several that had not been previously recorded. Building A 1 and the Fountain House were cleared and recorded using photogrammetry. The survey’s finds informed our legacy data verification efforts. Densities across all land types were high: nearly 23,000 artefacts were counted, and all but nine survey units produced artefacts. A preliminary analysis of the ceramics indicates a consistent habitation from the Archaic through the Classical period. Concentrations of miniature votives and fine wares were also found on hillsides, possibly indicating open-air shrines. Our work also highlights the need to conserve the structures in the Upper Plain.</p>
Raw data for analysis of archaeological macrolithic tools
<p>The file includes data describing typology and morphometric and raw material characteristics of archaeological collections composed of macrolithic stone tools with a cutting edge. The finds are dated to the Neolithic period in Poland. The file also includes location data of the archaeological sites attributed to the Mesolithic, Neolithic and Early Iron Age in SW Poland. The collections are held at the University of Wrocław and the Polish Academy of Science. The collected data was used to study the biography and circulation of metabasite-made tools based on usewear method.</p>
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.
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>
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>
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>
Text Mining of Archaeological Reports for Urban farming (data and code)
<p>This release is created to create a DOI in Zenodo for the data related to Fischer, AD, van Londen, H, Blonk-van den Bercken, AL, Visser, RM and Renes, J. 2021. Urban farming and ruralisation in the Netherlands (1250 up tot the nineteenth century), unravelling farming practice and the use of (open) space by synthesising archaeological reports using text mining. Nederlandse Archeologische Rapporten 68. Amersfoort: Rijksdienst voor het Cultureel Erfgoed. <a href="https://www.cultureelerfgoed.nl/publicaties/publicaties/2021/01/01/urban-farming-and-ruralisation-in-the-netherlands">https://www.cultureelerfgoed.nl/publicaties/publicaties/2021/01/01/urban-farming-and-ruralisation-in-the-netherlands</a></p>
Assessing the Integrity of Older Archaeological Collections: An Example from La Ferrassie - supplemental material (data and R code)
<p>Supplemental data and R code for reproducing figures and table values in paper 'Assessing the Integrity of Older Archaeological Collections: An Example from La Ferrassie' by HL Dibble, SC Lin, DM Sandgathe, A Turq.</p>
Notebook Archaeology Data
<p>Two zip files containing datasets related to the publication "Notebook Archaeology: Inferring Provenance from Computational Notebooks", IPAW 2021. sampled-nbs.zip contains the 100,000 Jupyter notebooks randomly sampled from GitHub notebooks published through February 2021. The notebook outputs have been stripped. session-histories.zip contains the IPython session histories downloaded from GitHub that were published through February 2021.</p>
Archaeological LiDAR data, Kostanjevica na Krasu (Slovenia). Companion data to article "Executable Map Paper (EMaP) for archaeological LiDAR"
<p>Archaeological LiDAR data, Kostanjevica na Krasu (Slovenia) is a supplement to the article "Executable Map Paper (EMaP) for archaeological LiDAR". In the future we also intend to publish an archaeological interpretation of the same data (current working title: "An Archaeological Interpretation of Airborne LiDAR Data. Case study from Kostanjevica na Krasu (Slovenia)").</p> <p>All relevant para- and metadata are available in the listed publications.</p> <p>The deposited data are intended for use in a GIS system and consist of:</p> <p>0.5m DFM (GeoTIFF with TFW)</p> <p>Sky view visualisation of the same DFM (GeoTIFF)</p> <p>Archaeological features - points ( Shape file)</p> <p>Archaeological features - lines (Shape file)</p>
Shape data ferrets and polecat (from paper: Gruwier, B.: A geometric morphometric approach to distinguish ferret from polecat and its application to an archaeological specimen from Mechelen (Belgium))
<p>Shape data ferrets and polecat (used in paper: Gruwier, B.: A geometric morphometric approach to distinguish ferret from polecat and its application to an archaeological specimen from Mechelen (Belgium))</p>
Supplemental Data File for Resetting Archaeological Interpretations of Pre-Contact Indigenous Agriculture: Maize Isotopic Evidence from Three Ancestral Mohawk Iroquoian Villages
<p>Supplemental data tables for the paper "Resetting Archaeological Interpretations of Pre-Contact Indigenous Agriculture: Maize Isotopic Evidence from Three Ancestral Mohawk Iroquoian Villages" revised manuscript submitted for peer review.</p>
The Archaeology of Vidarbha, Maharashtra: 2016 Regional Survey Data
<p><strong>This dataset comprises the results of regional archaeological surveys carried out in Vidarbha in 2016 under the directorship of Dr. Riza Abbas, INHCRF, with official permission granted by the Archaeological Survey of India.</strong> This upload contains the following data groups: photographs, site plans, and written records of all archaeological sites and remains encountered during survey.</p> <p>This dataset is released under a Creative Commons Attribution 4.0 International licence (CC-BY). For the terms of the licence see: https://creativecommons.org/licenses/by/4.0/legalcode</p> <p>If reused, please cited as: Abbas, R., Toraskar, S. and Hawles, J. (2020). The Archaeology of Vidarbha, Maharashtra: 2016 Regional Survey Data. Dataset. http://doi.org/10.5281/zenodo.3668997.</p> <p>For further information about this dataset, including details of the context, methods used to collected data, and ways in which they can be reused, see: Abbas, R., Toraskar, S. and Hawkes, J. (2020 Under Review). Multi-period regional survey data from Vidarbha, Maharashtra, India. <em>Journal of Open Archaeological Data</em>.</p>
Project Panormos Archaeological Survey: Archaeological Data (survey-data)
<p>This forms part of the preliminary open data release for the Project Panormos archaeological survey.</p> <p>This "panormos/survey-data" repository contains archaeological data collected as part of the Project Panormos intensive archaeological survey, including tract data (pottery counts, environment, etc.), POI (points-of-interest), finds descriptions and contexts, and photo metadata. Scripts to correct raw imported data files (e.g. from ODK software) into the "canonical" versions are also made available here.</p> <p><strong>Release 0.2.0</strong> includes data from the 2015, 2017 and 2019 seasons. It is a pre-publication or "observation" version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details.</p> <p><strong>Release 0.1.0</strong> includes data from the 2015 season. It is a pre-publication or "observation" version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details.</p> <p><strong>Releases below 1.0.0 represent preprint working datasets before final publication. </strong>Although every effort has been made to reduce errors and make the datasets available in a form that should be easy to navigate, the status of the data as a form of "beta" should be borne in mind.</p>
Data from: Mapping Tasmania's cultural landscapes: using habitat suitability modelling of archaeological sites as a landscape history tool
Aim: Understanding past distributions of people across the landscape is key to understanding how people used, affected and related to the natural environment. Here we use habitat suitability modelling to represent the landscape distribution of Tasmanian Aboriginal archaeological sites and assess the implications for patterns of past human activity. Location: Tasmania, Australia Methods: We developed a RandomForest 'habitat suitability' model of site records in the Tasmanian Aboriginal Heritage Register. We applied a best-effort bias correction, considered 31 predictor variables relating to climate, topography and resource proximity, and used a variable selection procedure to optimise the final model. Model uncertainty was assessed via bootstrapping and we ran an analogous MAXENT model as a cross-validation exercise. Results: The results from the RandomForest and MAXENT models are highly congruent. The strongest environmental predictors of site occurrence include distance to coast, elevation, soil clay content, topographic roughness and distance to inland water. The highest habitat suitability scores are distributed across a wide range of environments in central, northern and eastern Tasmania, including coastal areas, inland water body margins, and forests and savannas in the drier parts of Tasmania. With the exception of coastal areas much of western Tasmania has low habitat suitability scores, consistent with theories of low-density Holocene Tasmanian Aboriginal settlement in this region. Main conclusions: Our modelling suggests Tasmanian Aboriginal people occupied a heterogeneity of habitats but targeted coastal areas around the whole island, and drier, less steep, and/or open forest and savanna environments in the central lowlands. The western interior was identified as being rarely used by Aboriginal people in the Holocene, with the exception of isolated pockets of habitat; yet whether this is a true reflection of Aboriginal resource use demands increased archaeological surveys, particularly in the Tasmanian Wilderness World Heritage Area.
Data from: Tracing the trans-Pacific evolutionary history of a domesticated seaweed (Gracilaria chilensis) with archaeological and genetic data
The history of a domesticated marine macroalga is studied using archaeological, phylogeographic and population genetic tools. Phylogeographic and population genetic analyses demonstrated that the cultivated red alga Gracilaria chilensis colonised the Chilean coast from New Zealand. Combining archaeological observations with phylogeographic data provided evidence that exchanges between New Zealand and Chile have occurred at least before the Holocene, likely at the end of the Last Glacial Maximum (LGM) and we suggest that migration probably occurred via rafting. Furthermore, the remarkably low microsatellite diversity found in the Chilean populations compared to those in New Zealand is consistent with a recent genetic bottleneck as a result of over-exploitation of natural populations and/or the process of domestication. Therefore, the aquaculture of this seaweed, based essentially on clonal propagation, is occurring from genetically depressed populations and may be driving the species to an extinction vortex in Chile.
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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.