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70 results for “data archaeology”
Dental, pathological, and UHPLC data from Middenbeemster archaeological site
<p>Datasets used in 'Multiproxy analysis exploring patterns of diet and disease in dental calculus and skeletal remains from a 19th century Dutch population' (<a href="https://doi.org/10.24072/pcjournal.414">https://doi.org/10.24072/pcjournal.414</a>).</p> <p><strong>Changes</strong></p> <p>v1.0.1: added <em>data-dictionary.md</em> file</p> <p>Newest v1.0.0: Upload the correct <em>LICENSE</em> file</p>
Supplementary data to Dating the timbers from the 'Sparrow-Hawk', a shipwreck from Cape Cod, USA. Journal of Archaeological Science: Reports 103374
<p>This record gives access to all supplementary data that forms the background to the paper: Daly, A., Hocker, F. & Mires, C., 2022. Dating the timbers from the ‘Sparrow-Hawk’, a shipwreck from Cape Cod, USA. Journal of Archaeological Science: Reports https://doi.org/10.1016/j.jasrep.2022.103374</p> <p>In 1626, a vessel making its way to Virginia was forced off course and damaged in a storm, which drove the ship onto the eastern shore of the Cape Cod peninsula, Massachusetts. Onboard were two English merchants and some servants and farmers, many of whom were Irish. In 1863, a storm exposed the weathered remains of a vessel at Old Ship Harbor. At the time, it was hailed as the same ship that had brought the Virginia-bound passengers to Plymouth in 1626. Recent wiggle-match C14 dating and dendrochronology suggests that this is indeed a ship from the early seventeenth century.</p>
Archaeological shovel test data for Little Sapelo Island, Mary Hammock, Patterson Island, and Pumpkin Hammock; Spring 2007, Summer 2007 and 2008
The purpose of this study was to determine the human occupational history of Little Sapelo Island, Mary Hammock, Patterson Island, and Pumpkin Hammock in McIntosh County, GA. During the Spring of 2007 and Summers of 2007 and 2008, a systematic archaeological shovel test survey was performed at a closely-spaced interval of 20 meters. The shovel test grid was laid out using a Trimble GPS, in accordance with the Universal Trans Mercator coordinate system Zone 17, and the North American Datum of 1927 (with a typical accuracy between 1 and 6 m). Teams of two people would go to these locations, dig holes (typically 50 cm in diameter and 1 m deep), and put the soil through wire hardware cloth with a mesh size of 0.6 cm (i.e., 0.25 inch). All cultural material (except shell) were collected and put in labeled plastic bags. Only some shell samples were kept for future analysis. Ceramics were classified to determine surface treatment/ decoration, temper, and rim form, with the ultimate goal of determining their period of use. All of the data related to these shovel tests were entered into a spreadsheet, and that spreadsheet was turned into an ArcGIS point shapefile for analysis. These data are available for professional archaeologists only. Please contact the investigator by E-mail if you would like a copy of these data.
Archaeological bitumen from Tell Abraq - GC-MS & d13C data
<p>This dataset belongs to a research that was carried out on bitumen excavated at Tell Abraq, a Bronze Age period site located in the United Arab Emirates.</p> <p>Several bitumen samples from various contexts were sampled and subjected to both GC-MS and Stable Carbon Isotope Analysis. <br> This dataset holds:<br> -Measured d13C values<br> -GC-MS Raw Data (registered by Agilent Software)<br> -Peak surfaces and molecular ratios (both .xlsx and .csv format, both are identical)<br> -Photos linked to the samples</p>
Environmental proxy data from the Chap archaeological site (Kyrgyzstan)
<p>Sediment particle size, magnetic susceptibility, loss-on-ignition (LOI) and pollen data from the Chap archaeological site (described in Motuzaite Matuzeviciute et al. 2019, 2021, 2022).</p> <p>Particle size analysis using Malvern Mastersizer 2000 after treatment with HCl and H2O2.</p> <p>Particle size end members (EM 1 & 2) modelled using Analysize package (Paterson & Heslop 2015) for Matlab.</p> <p>Dimensionless magnetic susceptibility (Κ) readings were taken using a Bartington MS2B at low (0.46 kHz) and high (4.6 kHz) frequencies. Mass magnetic susceptibility (χ) was calculated by dividing Κ by sample bulk density. The percentage of frequency dependent components (χ­­<sub>fd%</sub>) was calculated as 100[(χ<sub>lf </sub>– χ<sub>hf</sub>)/χ<sub>lf</sub>].</p> <p>For LOI calculations, samples were weighed, fired at 550 degrees C for 4 hours, re-weighed then fired at 950 degrees C for 4 hours. </p> <p>Pollen was extracted following heavy liquid methods described in Leipe et al. (2019).</p> <p>Units in dataset:</p> <p>Centimetre (cm)</p> <p>Relative abundance (%)</p> <p>Absolute abundance (#)</p> <p>Sorting (σg) – after Folk & Ward (1957)</p> <p>Mass magnetic susceptibility (SI/g)</p>
Long time-series ecological niche modelling using archaeological settlement data.
<p><strong>CR_settlement_niche_[N]_[Yr]_[BC/AD].tif</strong></p> <p>Ecological niche models in GeoTIFF format generated with the MaxEnt software based using prehistoric settlement evidence as training data and environmental layers (elevation, mean annual precipitation, mean annual temperature, landscape water balance, soil types) as background data. Raster values represent the probability of presence of a settlement.<br> <strong>N</strong> - chronological ordering<br> <strong>Yr, BC/AD</strong> - calendar years BC or AD</p> <p> </p> <p><strong>CR_settlement_niche_combined.tif</strong></p> <p>All models combined by averaging.</p> <p> </p> <p><strong>CR_settlement_archeo.zip</strong></p> <p>Archaeological data used to train the MaxEnt models in ESRI SHP format with the following fields:</p> <p><strong>Site_Type:</strong> Cemetery or Settlement</p> <p><strong>Archeo_Dat:</strong> Archaeological dating (culture or period)</p> <p><strong>Source:</strong> Source dataset (AMCR or LONGWOOD)</p> <p>AMCR: Archeologická mapa České republiky – Archaeological Map of the Czech Republic. Retrieved from https://digiarchiv.aiscr.cz/.</p> <p>LONGWOOD: Kolář, J., Tkáč, P., Macek, M., & Szabó, P. (2016). Archaeology and Historical Ecology: the Archaeological Database of the LONGWOOD ERC Project. Archäologisches Korrespondenzblatt 46/4, 539-554.</p> <p><strong>Yrs_BP_Avg:</strong> Average dating in calendar years BP (based on the archaeological dating)</p> <p><strong>Yrs_BP_Unc:</strong> Temporal uncertainty of the dating (half of the culture or period's duration)</p> <p><strong>Loc_Accur:</strong> Spatial accuracy derived from the recorded degree of the accuracy of location (radius in meters around the center point)</p>
3D models (NXS): Towards a spatial data repository for archaeological research in the Romanian Mostiștea Basin and Danube Valley
<p><span>Spatial data are crucial in archaeological research, where orthophotos, digital elevation models, and 3D models are widely used for mapping, documenting, and monitoring archaeological sites. The introduction of affordable and compact unmanned aerial vehicles (UAVs) has significantly advanced the use of UAV-based photogrammetry in the past 20 years. Recently, compact airborne systems have also enabled the capture of thermal, multispectral, and aerial laser scanning data. This study presents the data acquired with different platforms and sensors at Chalcolithic archaeological sites in Romania's Mostiștea Basin and Danube Valley. Since laser scanning and photogrammetry generate large data volumes, data storage and dissemination must also be carefully considered. Based on a thorough study of system performance, data acquisition and processing methods, and data outputs, a workflow for the systematic mapping and documentation of sites has been proposed. Given the experience obtained in the last 5 summer campaigns (2018-2023), 19 sites have been accurately mapped, of which 5 sites are mapped using airborne laser scanning. 18 sites are documented using multispectral photogrammetry, and for 17 sites, interactive image-based 3D models are acquired using true-color photogrammetry. All data are stored on a publicly accessible website for visualization, as well as on an open-data platform for data exchange. For the multispectral data, a raster tile service has been implemented, allowing the use of the data in a GIS environment.</span></p>
3D models (true color, TIF): Towards a spatial data repository for archaeological research in the Romanian Mostiștea Basin and Danube Valley
<p>Spatial data are crucial in archaeological research, where orthophotos, digital elevation models, and 3D models are widely used for mapping, documenting, and monitoring archaeological sites. The introduction of affordable and compact unmanned aerial vehicles (UAVs) has significantly advanced the use of UAV-based photogrammetry in the past 20 years. Recently, compact airborne systems have also enabled the capture of thermal, multispectral, and aerial laser scanning data. This study presents the data acquired with different platforms and sensors at Chalcolithic archaeological sites in Romania's Mostiștea Basin and Danube Valley. Since laser scanning and photogrammetry generate large data volumes, data storage and dissemination must also be carefully considered. Based on a thorough study of system performance, data acquisition and processing methods, and data outputs, a workflow for the systematic mapping and documentation of sites has been proposed. Given the experience obtained in the last 5 summer campaigns (2018-2023), 19 sites have been accurately mapped, of which 5 sites are mapped using airborne laser scanning. 18 sites are documented using multispectral photogrammetry, and for 17 sites, interactive image-based 3D models are acquired using true-color photogrammetry. All data are stored on a publicly accessible website for visualization, as well as on an open-data platform for data exchange. For the multispectral data, a raster tile service has been implemented, allowing the use of the data in a GIS environment.</p>
Raw data for analysis of archaeological collections using scoring
<p>The file includes data in the form of attributes identifying the cultural or natural origin of archaeological collections composed of flakes and blades made of flint. The collections attributed to the Lower and Middle Palaeolithic in Poland and Germany. The last collection consists of experimentally produced samples. These collections are held at the Muzeum Śląska Opolskiego in Opole, University of Wrocław, University of Silesia in Katowice, Sosnowiec and Landesmuseum für Vorgeschichte in Halle (Saale). The collected data was used to improve the method hitherto applied to distinguish sets composed of artefacts and pseudo-artefacts using so-called scoring. This work was financially supported by the National Science Centre,<br>Poland (Grant 2020/39/B/HS3/02277).</p>
Data from: Preserved collagen reveals species identity in archaeological marine turtle bones from Caribbean and Florida sites
Advancements in molecular science are continually improving our understanding of marine turtle biology and evolution. However, there are still considerable gaps in our understanding, such as past marine turtle distributions, which can benefit from advanced zooarchaeological analyses. Here we apply collagen fingerprinting to 130 archaeological marine turtle bone samples up to 2500 years old from the Caribbean and Florida's Gulf Coast for faunal identification, finding the vast majority of samples (88%) to contain preserved collagen despite deposition in the tropics. All samples can be identified to species-level with the exception of the Kemp's ridley (Lepidochelys kempii) and olive ridley (L. olivacea) turtles, which can be separated to genus level, having diverged from one another only ~5 million years ago. Additionally, we identify a single homologous peptide that allows the separation of archaeological green turtle samples, Chelonia spp., into two distinct groups, which potentially signifies a difference in genetic stock. The majority of the archaeological samples are identified as green turtle (Chelonia spp.; 63%), with hawksbill (Eretmochelys imbricata; 17%) and ridley turtles (Lepidochelys spp.; 3%) making up smaller proportions of the assemblage. There were no molecular identifications of the loggerhead turtle (Caretta caretta) in the assemblage despite 9% of the samples being morphologically identified as such, highlighting the difficulties in relying on morphological identifications alone in archaeological remains. Finally, we present the first marine turtle molecular phylogeny using collagen (I) amino acid sequences and find our analyses match recent phylogenies based on nuclear and mitochondrial DNA. Our results highlight the advantage of using collagen fingerprinting to supplement morphological analyses of turtle bones and support the usefulness of this technique for assessing their past distributions across the Caribbean and Florida's Gulf Coast, especially in these tropical environments where DNA preservation may be poor.
Annotation dataset for the article titled "On the Emerging Supremacy of Structured Digital Data in Archaeology: A Preliminary Assessment of Information, Knowledge and Wisdom Left Behind"
<p>This is the resulting dataset from the text annotation exercise in the article titled "<strong>On the Emerging Supremacy of Structured Digital Data in Archaeology: A Preliminary Assessment of Information, Knowledge and Wisdom Left Behind</strong>" that will appear in the journal Open Archeology in a special issue titled Archaeological Practice on Shifting Grounds (edited by Åsa Berggren and Antonia Davidovic-Walther). The article is accepted for publication and the annotations are final. CIDOC CRM is used for text annotations.</p>
Supplementary GIS data - Potential and implications of automated pre-processing of LiDAR-based digital elevation models for large-scale archaeological landscape analysis
<p>A supplementary dataset related to the paper discussing preparation of a digital elevation model derived from DMR 5G (LiDAR-based DEM of the Czech Republic) cleaned of modern artificial features. It includes data used as a clipping mask and data produced during the testing phase.</p> <p>Contents:</p> <ul> <li>..\clipping_buffers.gdb\ - Clipping buffers based on ZABAGED dataset used for masking the original data stored as ESRI geodatabase.</li> <li>..\drainages\ - Drainages with Strahler order higher than four (potential watercourses) for the original and filtered DEMs. <ul> <li>drainages_filtered - Drainges identified in the filtered DEM stored as GeoTIFF.</li> <li>drainages_original - Drainges identified in the original DEM stored as GeoTIFF. </li> </ul> </li> <li>..\LSC\ - Locations with significant land surface curvature for the original and filtered DEMs. <ul> <li>LSC_filtered - Significant LSC identified in the filtered DEM stored as GeoTIFF. </li> <li>LSC_original - Significant LSC identified in the original DEM stored as GeoTIFF. </li> </ul> </li> <li>..\visibility\ - Viewsheds computed over the original and filtered DEMs. <ul> <li>Libice\ - Sample viewsheds computed for the early medieval hillfort of Libice. <ul> <li>Libice_visibility_filtered - Viewshed based on the filtered DEM stored as GeoTIFF. </li> <li>Libice_visibility_original - Viewshed based on the original DEM stored as GeoTIFF. </li> <li>observer_points - Observer points used for calculating the viewsheds.</li> </ul> </li> <li>regular_grid\ - Cumulative viewsheds calculated for regularly spaced points in a 10 x 10 km grid with a visibility radius of 5 km and an observer height of 2 m; a total of 574 viewsheds. <ul> <li>visibility_filtered - Cumulative viewshed for the filtered DEM stored as GeoTIFF.</li> <li>visibility_original - Cumulative viewshed for the original DEM stored as GeoTIFF. </li> <li>visibility_test_buffers - Buffers used for the viewshed calculations stored as ESRI shapefile.</li> <li>visibility_test_observers - Observer points used for the viewshed calculations stored as ESRI shapefile.</li> </ul> </li> </ul> </li> </ul> <p> </p> <p>Preprint version of the related paper:</p> <p>Novák, David and Pružinec, Filip, Potential and Implications of Automated Pre-Processing of Lidar-Based Digital Elevation Models for Large-Scale Archaeological Landscape Analysis. Available at SSRN: <a href="https://ssrn.com/abstract=4063514">https://ssrn.com/abstract=4063514</a></p>
Supplementary data for Plutniak, S. 2022. "What makes the identity of a scientific method? A history of the 'Structural and analytical typology' in the growth of evolutionary and digital archaeology in southwestern Europe (1950s–2000s)", Journal of Paleolithic Archaeology, vol. 5, 10.
<p>Supplementary data for Plutniak, S. 2022. “What makes the Identity of a Scientific Method? A History of the ‘Structural and analytical typology’ in the Growth of Evolutionary and Digital Archaeology in Southwestern Europe (1950s–2000s)”, <em>Journal of Paleolithic Archaeology</em>. vol 5, 10. DOI: <a href="https://doi.org/10.1007/s41982-022-00119-7">10.1007/s41982-022-00119-7</a>.</p> <p> </p> <p> </p> <p> </p>
Рис. 7. Морские двустворчатые моллюски иЗ раскопа 1 поселениЯ Константиновка-1: A–M – Glycymeris (Glycymeris) yessoensis (Sowerby III, 1889) (A, B – данные не расшифрованы, длина раковины 44.6 мм; C, D – данные не расшифрованы, длина раковины 38.7 мм; E, F – раскоп 5, пл. 6, кв. Б-6, длина раковины 30.7 мм; G, H –?подъемный материал, длина раковины 33.8 мм; I, J – раскоп 3, кв. З-6, длина раковины 40.4 мм; K–M – раскоп 2, пл. 7, кв. Д-6, длина раковины 23.5 мм; N, O – Mya (Arenomya) japonica Jay, 1857 – подъемный материал, длина раковины 61.7 мм. Fig. 7. Marine bivalves from excavation 1 of the Konstantinovka-1 site: A–M – Glycymeris (Glycymeris) yessoensis (Sowerby III, 1889) (A, B – data not available, shell length 44.6 mm; C, D – data not available, shell length 38.7 mm; E, F – excavation 5, layer 6, square Б-6, shell lenth 30.7 mm; G, H –?surface scatter, shell length 33.8 mm; I, J – excavation 3, square З-6, shell length 40.4 mm; K–M – excavation 2, layer 7, square Д-6, shell length 23.5 mm; N, O – Mya (Arenomya) japonica Jay, 1857 – surface scatter, shell length 61.7 mm. in Mollusks from the archaeological site Konstantinovka-1 in Primorye (Russian Far East)
Рис. 7. Морские двустворчатые моллюски иЗ раскопа 1 поселениЯ Константиновка-1: A–M – Glycymeris (Glycymeris) yessoensis (Sowerby III, 1889) (A, B – данные не расшифрованы, длина раковины 44.6 мм; C, D – данные не расшифрованы, длина раковины 38.7 мм; E, F – раскоп 5, пл. 6, кв. Б-6, длина раковины 30.7 мм; G, H –?подъемный материал, длина раковины 33.8 мм; I, J – раскоп 3, кв. З-6, длина раковины 40.4 мм; K–M – раскоп 2, пл. 7, кв. Д-6, длина раковины 23.5 мм; N, O – Mya (Arenomya) japonica Jay, 1857 – подъемный материал, длина раковины 61.7 мм. Fig. 7. Marine bivalves from excavation 1 of the Konstantinovka-1 site: A–M – Glycymeris (Glycymeris) yessoensis (Sowerby III, 1889) (A, B – data not available, shell length 44.6 mm; C, D – data not available, shell length 38.7 mm; E, F – excavation 5, layer 6, square Б-6, shell lenth 30.7 mm; G, H –?surface scatter, shell length 33.8 mm; I, J – excavation 3, square З-6, shell length 40.4 mm; K–M – excavation 2, layer 7, square Д-6, shell length 23.5 mm; N, O – Mya (Arenomya) japonica Jay, 1857 – surface scatter, shell length 61.7 mm.
Рис. 4. Пресноводные двустворчатые моллюски иЗ раскопа 2 поселениЯ ЧернЯтино-2: А, B – фрагменты жемчужниц Dahurinaia dahurica, C–G – створки перловиц Middendorffinaia mongolica. Масштабные линейки 1 см. in Additional data on mollusks of the archaeological site Chernyatino-2 (Primorye)
Рис. 4. Пресноводные двустворчатые моллюски иЗ раскопа 2 поселениЯ ЧернЯтино-2: А, B – фрагменты жемчужниц Dahurinaia dahurica, C–G – створки перловиц Middendorffinaia mongolica. Масштабные линейки 1 см.
Рис. 3. Фрагменты раковин брюхоногих Cipangopaludina иЗ раскопа 2 поселениЯ ЧернЯтино-2. МасштабнаЯ линейка 1 см. in Additional data on mollusks of the archaeological site Chernyatino-2 (Primorye)
Рис. 3. Фрагменты раковин брюхоногих Cipangopaludina иЗ раскопа 2 поселениЯ ЧернЯтино-2. МасштабнаЯ линейка 1 см.
Рис. 2. Брюхоногие моллюски иЗ раскопа 2 поселениЯ ЧернЯтино-2: A–C – Discus perspectivus, D, E – Juga tegulata, F – Juga amurensis. Масштабные линейки 1 мм (A–C) и 5 мм (D–F). in Additional data on mollusks of the archaeological site Chernyatino-2 (Primorye)
Рис. 2. Брюхоногие моллюски иЗ раскопа 2 поселениЯ ЧернЯтино-2: A–C – Discus perspectivus, D, E – Juga tegulata, F – Juga amurensis. Масштабные линейки 1 мм (A–C) и 5 мм (D–F).
3D models and raw data for the "Photogrammetric 3D modelling and experimental archaeology reveals new technological insights into engraved soapstone sinker production in Western Norway (6400-3300 cal. BC)" paper, Radchenko et al. in prep.
<p>3D models and raw data for the "Photogrammetric 3D modelling and experimental archaeology reveals new technological insights into engraved soapstone sinker production in Western Norway (6400-3300 cal. BC)" paper, Radchenko et al. in prep.</p> <p>5 models of soapstone sinkers and 5 models of experimentally produced objects.</p>
Fig. 1 in Additional data on mollusks of the archaeological site Chernyatino-2 (Primorye)
Fig. 1. Plan-scheme of the ancient settlement Chernyatino-2: A – plan of the north-eastern part of the settlement; В – situational plan of the excavations.
Archaeological data from the 1955 excavation in Haristoy-Oxocelhaya cave by Georges Laplace, José Miguel de Barandiáran, and Pierre Boucher
<p>This table includes data from Georges Laplace's field booknotes about the excavation he carried out in 1955-1956 with José Miguel de Barandiáran and Pierre Boucher at the Haristoy-Oxocelhaya cave (Isturits and Saint-Martin-d'Arberoue, France).</p> <h2>Variables</h2> <ul> <li><em>id</em>: unique identifier attributed by the transcriber</li> <li><em>square_y</em>: label of the square on the Y axis</li> <li><em>square_x</em>: label of the square on the X axis</li> <li><em>layer</em>: layer as given in the notebook</li> <li>layer.<em>deduced</em>: layer deduced when not given in the notebook (assuming that the lines bellow a line with a layer information are about the same layer)</li> <li><em>n</em>: object's identifying number attributed by Laplace (objects are numbered by grid square)</li> <li><em>zmin</em>: minimal depth</li> <li><em>zmax</em>: maximal depth (if applicable)</li> <li><em>xmin</em>: minimal X coordinate in the square</li> <li><em>xmax</em>: maximal X coordinate in the square (if applicable)</li> <li><em>ymin</em>: minimal Y coordinate in the square</li> <li><em>ymax</em>: maximal Y coordinate in the square (if applicable)</li> <li><em>object_type</em>: remain category</li> <li><em>object_lithic-type</em>: type of lithic implement</li> <li><em>object_lithic-material</em>: lithic raw material</li> <li><em>object_anatomy</em>: anatomical part, for faunal remains</li> <li><em>object_fauna-order</em>: taxonomic order, for faunal remains</li> <li><em>object_fauna-genus</em>: taxonomic genus, for faunal remains</li> <li><em>object_decription</em>: the description given in the excavation notebook</li> <li><em>bloc_dimensions</em>: dimensions for stone blocks</li> <li><em>note_laplace</em>: note by Laplace as written in the notebook</li> <li><em>note</em>: note by the transcriber</li> </ul> <h2>About stone blocks dimension</h2> <p>Stone blocks are written as “B10.20.20” or as “B10”. This information was recorded in the “bloc_dimensions” columns and the “object_type” column was filled with a “bloc” or “bloc stalagmité” value.</p> <ul> <li>About the first form, the three numerical values are interpreted as the dimensions of the block in centimeters and are noted with separating dots in the “bloc_dimensions” column. E.g. “B10.20.20” is recorded as “10.20.20”.</li> <li>The second form is interpreted as referring to cubic blocs, only one value is useful. This value was copied in the “bloc_dimensions” column. E.g. “B10” is recorded “ 10”. The two other lengths can be deduced when processing the dataset.</li> </ul> <h2>Line multiplication</h2> <p>Generally speaking, one line in the notebook corresponds to one object. This is sometimes not the case, when two objects are noted with a “+” sign (e.g. “B10 + fo”) or when a multiplier is applied to the description of an object (e.g. “7 B10”, for seven blocks of size 10). <br>In this case, a line in the table was created for each object and, if the line contained an object number, this number was copied in each new line in the “n” column.</p> <p> </p> <p> </p>
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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.