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215 results for “slab”

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zenodo48/100

Supporting Data - Sentinel-1 Detection of Ice Slabs on the Greenland Ice Sheet

<p>This dataset contains supporting data accompanying Culberg, R., Michaelides, R. J., and Miller, J. Z.: Sentinel-1 Detection of Ice Slabs on the Greenland Ice Sheet, EGUsphere [preprint], <a href="https://doi.org/10.5194/egusphere-2023-2652">https://doi.org/10.5194/egusphere-2023-2652</a>, 2023. The final accepted manuscript will be linked via the same preprint server at the time of publication. The dataset contains the following files:</p> <ul> <li>Sentinel-1 HV and HV/HH backscatter mosaics of the Greenland Ice Sheet formed using data from 1 Oct 2016 - 30 April 2017.</li> <li>Estimated average annual summer melt extent between 1 Nov 2014 and 31 Aug 2020, detected using seasonal variations in Sentinel-1 HH backscatter.</li> <li>The firn aquifer extent over Greenland derived from Sentinel-1 in Brangers et al. (2020), reprojected to EPSG:3413.</li> <li>The ice mask used in the study, derived from the BedMachine Greenland ice mask.</li> <li>The training and validation datasets derived from the Jullien et al. (2023) ice slabs detections from ice penetrating radar data that were used to optimize ice slab detection thresholds for the Sentinel-1 backscatter mosaics.&nbsp;</li> </ul>

opencc-by-4.0Mar 2024View details →
zenodo48/100

Cup-marked stone, Zermatt-Hubelwäng, Switzerland - imagery and photogrammetrically derived 2.5D data, 3D data and orthophoto of stone slab no. 3920-01

<p>Imagery and derived 2.5D data, 3D data and orthophoto of cup-marked stone slab No. 3920-01 (http://www.ssdi.ch/), Zermatt-Hubelw&auml;ng, Switzerland.</p> <p>Supplemental data for: J. Reinhard, Was in den Rucksack passt&hellip; In: Chr. Rinne et al. (ed.), Vom Bodenfund zum Buch - Arch&auml;ologie durch die Zeiten. Festschrift f&uuml;r Andreas Heege. Historische Arch&auml;ologie Sonderband 1 (Bonn 2017), 503-520. URL: <a href="http://www.histarch.uni-kiel.de/sonderband01.htm">http://www.histarch.uni-kiel.de/sonderband01.htm</a>, DOI:<a href="https://doi.org/10.18440/ha.2017.101"> https://doi.org/10.18440/ha.2017.101</a> (original paper and additional poster contained in the upload). See&nbsp;<a href="http://skfb.ly/6sxJT">https://skfb.ly/6sxJT</a> for an online visualization of the data on Sketchfab.</p> <p>&nbsp;</p> <p>Contents:</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_503.pdf?versionId=2c4ebd68-da57-42da-b49a-b95d10a9f4f8">HASB2017_130_503.pdf</a>: PDF of Reinhard 2017 (cited above).</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_sup1.zip?versionId=87498b06-3e60-4dc1-a182-0157df73ad80">HASB2017_130_sup1.zip</a>: dense point cloud (full resolution, .ply)</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_sup2.zip?versionId=951d3131-b09b-4efb-b768-adbd29e55e91">HASB2017_130_sup2.zip</a>: orthophoto (5 mm resolution, GeoTIFF)</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_sup3.zip?versionId=8f5ac851-e596-4a31-b724-5f056a4940eb">HASB2017_130_sup3.zip</a>: DEM (1 mm resolution, GeoTIFF)</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_sup4.zip?versionId=29043ecd-1bea-4fbd-8264-38e99c583691">HASB2017_130_sup4.zip</a>: orthophoto (1 mm resolution, GeoTIFF)</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_sup5.zip?versionId=ae05c230-c25a-4a29-801f-202823648ade">HASB2017_130_sup5.zip</a>: 3D model (full resolution, .obj/.mtl/.jpg)</p> <p><a href="https://zenodo.org/record/3373713/files/Image-based_modeling_report.pdf?download=1">Image-based_modeling_report.pdf</a>: Image-based modeling report&nbsp;generated by Agisoft PhotoScan</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/In_Rock_We_Trust_Poster_EAA_Bern_2019-09-07.pdf?versionId=7c003048-b261-45a6-803f-6affc3c48721">In_Rock_We_Trust_Poster_EAA_Bern_2019-09-07.pdf</a>: poster presented at the EAA annual conference 2019 in Bern</p> <p><a href="https://zenodo.org/record/3373713/files/Notes_on_image-based_modeling.pdf?download=1">Notes_on_image-based_modeling.pdf</a>: Notes on the image-based modeling process including scaling information</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/Photos.zip?versionId=833aaf74-8c0e-48a5-8459-28d47af02d2e">Photos.zip</a>: complete set of images used in this project, taken in april 2016</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2017View details →
zenodo44/100

PYU21 Thegon Stone Slab

<p><strong>PYU 21 Thegon Stone Slab</strong></p> <p>Support: stone slab</p> <p>Lines: 6</p> <p>Dimensions (cm): h: 72; w: 57; d: 6</p> <p>Language: Pyu</p> <p>Original locality: Thegon township</p> <p>Present locality: Sriksetra Museum, no. 2013/1/52</p> <p>References: Sein Win 2016: 100&ndash;102.</p> <p>&nbsp;</p> <p>Data from: Arlo Griffiths, Marc Miyake, Bob Hudson, Julian Wheatley, &quot;Studies in Pyu Epigraphy, I : State of the Field, Edition and Analysis of the Kan Wet Khaung Mound Inscription, and Inventory of the Corpus,&quot;&nbsp;<em>BEFEO</em>&nbsp;103 (2017): 43-205. <a href="http://doi.org/10.5281/zenodo.1478504">http://doi.org/10.5281/zenodo.1478504</a></p> <p>&nbsp;</p> <p>For another image of this inscription, see: <a href="http://doi.org/10.5281/zenodo.3855110">http://doi.org/10.5281/zenodo.3855110</a></p>

opencc-by-4.0May 2020View details →
zenodo44/100

PYU32 Myanadi Stone Slab

<p><strong>PYU 32 Myanadi Stone Slab</strong></p> <p>Support: stone slab</p> <p>Lines: 10</p> <p>Dimensions (cm): h: 80, w: 181, d: 13</p> <p>Language: Pyu</p> <p>Original locality: Myanadi village (8 km east of Maingmaw), Kan Swei village tract, Myittha township, Kyaukse district, Mandalay Region</p> <p>Present locality: Shwemoktaw Pagoda, Myittha</p> <p>References: Nyunt Han et al. 2007: 13; Moore 2009: 111&ndash;112; Naing Zaw 2011: 524; Sein Win 2016: 137&ndash;151.</p> <p>&nbsp;</p> <p>Data from: Arlo Griffiths, Marc Miyake, Bob Hudson, Julian Wheatley, &quot;Studies in Pyu Epigraphy, I : State of the Field, Edition and Analysis of the Kan Wet Khaung Mound Inscription, and Inventory of the Corpus,&quot;&nbsp;<em>BEFEO</em>&nbsp;103 (2017): 43-205. <a href="http://doi.org/10.5281/zenodo.1478504">http://doi.org/10.5281/zenodo.1478504</a></p>

opencc-by-4.0May 2020View details →
zenodo44/100

PYU21 Thegon Stone Slab

<p><strong>PYU 21 Thegon Stone Slab</strong></p> <p>Support: stone slab</p> <p>Lines: 6</p> <p>Dimensions (cm): h: 72; w: 57; d: 6</p> <p>Language: Pyu</p> <p>Original locality: Thegon township</p> <p>Present locality: Sriksetra Museum, no. 2013/1/52</p> <p>References: Sein Win 2016: 100&ndash;102.</p> <p>&nbsp;</p> <p>Data from: Arlo Griffiths, Marc Miyake, Bob Hudson, Julian Wheatley, &quot;Studies in Pyu Epigraphy, I : State of the Field, Edition and Analysis of the Kan Wet Khaung Mound Inscription, and Inventory of the Corpus,&quot;&nbsp;<em>BEFEO</em>&nbsp;103 (2017): 43-205. <a href="http://doi.org/10.5281/zenodo.1478504">http://doi.org/10.5281/zenodo.1478504</a></p> <p>&nbsp;</p> <p>For another image of this inscription, see: <a href="http://doi.org/10.5281/zenodo.3855108">http://doi.org/10.5281/zenodo.3855108</a></p>

opencc-by-4.0May 2020View details →
zenodo44/100

PYU21 Thegon Stone Slab, Sriksetra Museum, no. 2013/1/52.

<p>PYU21 Thegon Stone Slab. Found in Thegon township; received in Sriksetra Museum in 1990.</p>

opencc-by-4.0May 2020View details →
zenodo44/100

Panholi Mendha पन्होळी मेंढा (Chandrapur district, Maharashtra). Large stone slab outside Buddha temple.

<p>Panholi Mendha पन्होळी मेंढा (Chandrapur district, Maharashtra). One of several large stone slabs outside the Buddha temple.</p>

opencc-by-4.0Feb 2018View details →
zenodo44/100

Data, multiscale dataset and supplementary information for 'Pulsed fluid release from subducting slabs caused by a scale-invariant dehydration process'

<p>This repository contains the analytical Supplementary Information, the data, the multiscale dataset and the codes used to construct the dataset and plot figures used in the manuscript 'Pulsed fluid release from subducting slabs caused by a scale-invariant dehydration process' (accepted in Earth and Planetary Science Letters).&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2023View details →
zenodo44/100

Data: Greenland Ice Sheet ice slab expansion and thickening

<p>Dataset from the manuscript &#39;Greenland Ice Sheet&nbsp;ice slab expansion and thickening&#39; (2023), published by&nbsp;Nicolas Jullien, Andrew J. Tedstone, Horst Machguth, Nanna B. Karlsson, Veit Helm.</p> <p>If you use any of these file please cite the paper associated with the dataset.</p>

opencc-by-4.0Aug 2022View details →
zenodo44/100

Global Hydrogen Production during high-pressure Serpentinisation of Subducting Slabs—Dataset

<p>Data-set and code for recreating results of:</p> <p><strong>Global Hydrogen Production during high-pressure Serpentinisation of Subducting Slabs&nbsp;</strong></p> <p>A manuscript submitted to G-cubed.</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo44/100

IMAU-FDM v1.2G and RACMO2.3p2 data on ice slabs, aquifers and their climatic drivers

<p>Model results used in the following paper:</p> <p>Brils, M., Kuipers Munneke, P., Jullien, N., Tedstone, A.J., Machguth, H., van de Berg, W. J., &amp; van den<br> Broeke, M. R. Climatic drivers of ice slabs and firn aquifers in Greenland</p> <p>&nbsp;</p> <p>Contains:</p> <p>- 10-daily ice slab fraction within the upper 20 m of firn</p> <p>- 10-daily total irreducible liquid water content firn</p> <p>- monthly snow accumulation and melt</p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

Raisen रायसेन (Madhya Pradesh). Inscribed slab in the palace area of the fort.

<p>Raisen रायसेन (Madhya Pradesh). Inscribed slab in the palace area of the fort.</p>

opencc-by-4.0Feb 2020View details →
zenodo40/100

Khajuraho खजुराहो (Chhaturpur district, Madhya Pradesh). Drawings incised on slabs in the Dula Deo temple.

<p>Khajuraho खजुराहो (Chhaturpur district, Madhya Pradesh). Drawings incised on slabs in the Dula Deo temple.</p>

opencc-by-4.0Mar 2020View details →
zenodo40/100

Data repository for the paper "Tectonics and seismicity in the Northern Apennines driven by slab retreat and lithospheric delamination"

<p>Output data from a numerical modeling study analyzing the Tectonics and seismicity of the Northern Apennines in relation to the geodynamic mechanism (slab retreat and crustal delamination) suggested to be driving the orogenic system.</p> <p>Understanding how long-term subduction dynamics relates to short-term seismicity and crustal tectonics is a challenging but crucial topic in seismotectonics. We attempt to address this issue in the context of the Northern Apennines orogenic belt, which displays characteristic tectonic and seismogenic behaviors on a wide range of spatiotemporal scales. We use a visco-elasto-plastic seismo-thermo-mechanical (STM) modeling approach with a realistic 2D setup based on available geological and geophysical data. In accordance with regional geodynamics, subduction dynamics and seismicity are simulated together, driven solely by slab pull. Our numerical experiments suggest that lower crustal rheology and lithospheric mantle temperatures modulate the crustal tectonics of the Northern Apennines. Results indicate that the observed spatial distribution of the upper crustal tectonic regimes requires buoyant and highly ductile material beneath the suture zone. This allows protrusion of the asthenosphere in the lower crust, lithospheric delamination, and slab retreat. The resulting horizontal velocities and principal stress axis orientations agree with observations, suggesting that slab delamination and retreat are compatible with regional deformation. Our simulations successfully reproduce the presence of seismicity in the thrust front and on normal faults in the interior of the range. Slab temperatures and lithospheric mantle stiffness distinctly affect the cumulative seismic moment release and the spatial distribution of upper crustal earthquakes. The properties of deep, sub-crustal material are thus shown to influence model shallow seismicity, even though the upper crust is largely mechanically decoupled from the lithospheric mantle. Our simulations therefore highlight the important effect of deep crustal rheologies and self-driven subduction dynamics in controlling the shallow, brittle deformation and related seismicity during an ongoing orogeny.</p> <p>The repository consists of the following: 1) the&nbsp;executable code for running the model (i2_istm and in2_istm, the latter of which is used to initialise the model); 2)&nbsp;the setting files for which timesteps to output (mode.t3c and mode_istm.t3c, the latter of which is for the short-term phase of the model), the model setting files (init_istm.t3c), rock type and temperature setup images (prf_app.tif and tfin.tif, respectively); and 3) the output quantities in the model for the last timestep in HDF5&nbsp;format&nbsp;(app400.gzip.h5), the list of ruptured markers (pick_events_app.txt) and GPS-station-like markers at the surface (eachdt_gpsmarker_app.txt), and the time limits used for computing average velocities from the GPS marker positions (timelims.mat).</p> <p>The files&nbsp;used for the figures in the paper relate to the reference model and 9&nbsp;other models: 2 models with different rheology for the Adriatic lower crust,&nbsp;2 models with different temperatures in the mantle, and 5 models with different shear modulus in the Adriatic lithospheric mantle. The two models with different lower crust rheology (granulite and plagioclase) were not run in short-term mode and therefore no GPS-like or ruptured markers logs are available for them.&nbsp;Descriptive prefixes are used to identify which model each file refers to. The rock type setup is common to all models included here. The reference temperature setup is also used for the models with different shear modulus in the slab and the model with granulite lower crust rheology. The model with plagioclase lower crust rheology has a different temperature setup with a hotter lower crust, as mentioned in the paper; it is not a simple exploration of the effect of rheology, but an attempt to get the lower crust to be very ductile through a combination of a ductile rheology (but less so than in the reference model) and high temperatures.</p> <p>For information about the modeling code, setup, results, and interpretation, please refer to the paper. This repository will be updated with the final paper information after publication.</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

Mogha resevoir (मोघा जलाशय, near देवरी, उदयपुरा तहसील, रायसेन ज़िला, Madhya Pradesh). Bhairava ghat, slab with cup marks.

<p>Mogha resevoir (मोघा जलाशय, near देवरी, उदयपुरा तहसील, रायसेन ज़िला, Madhya Pradesh). Bhairava ghat, slab with cup marks.</p>

opencc-by-4.0May 2020View details →
zenodo40/100

Nicosia, Cyprus. Notre Dame de Tyre, more recently the Armenian Church, medieval tomb slab.

<p>Notre Dame de Tyre, more recently the Armenian Church, medieval tomb slab, photograph taken 1973; digitised 2017.</p>

opencc-by-4.0Feb 2017View details →
zenodo40/100

Udayagiri, Madhya Pradesh. Lotus slabs carved with astronomical devices.

<p>Udayagiri, Madhya Pradesh. Lotus slabs carved with astronomical devices, on the summit of the hill prior to their removal to the Archaeological Museum, Gwalior.</p>

opencc-by-nc-nd-4.0Mar 2017View details →
zenodo40/100

Data: Constraining Ice Slab Thickness at the Onset of Visible Surface Runoff from the Greenland Ice Sheet

<h1>Data repository associated with the manuscript 'Constraining Ice Slab Thickness at the Onset of Visible Surface Runoff from the Greenland Ice Sheet', Nicolas Jullien, Andrew J. Tedstone, Horst Machguth, (under review in the Journal of Glaciology)</h1> <h2>&nbsp;</h2> <h2>Introduction:</h2> <p>We provide a short description of each file present in this data repository, and flag to the corresponding reference when applicable. Please cite the appropriate references when using these data.</p> <h2>&nbsp;</h2> <h2>Data:</h2> <h3>In this repository:</h3> <ul> <li>'Ice_Layer_Output_Thicknesses_Likelihood_2010_2018_jullienetal2021_modified.csv'. Modified 2010-2018 ice slabs thickness retrievals from Jullien et al., (2023) where ice slabs thickness &gt; 16 m thick and &lt; 1 m thick are retained, and flight-lines not holding ice slab were set to hold an ice content of 0 m thick.</li> <li>'master_maps.zip'. Raster files. Surface hydrology connectivity map over the Greeland Ice sheet, first presented in Tedstone and Machguth (2022). The easiest way to handle this dataset is to use the 'master_map_GrIS_mean.vrt' file.</li> <li>'MARv.3.14_MoA_2000_2012.nc'. Melt over accumulation from 2000 to 2012 extracted from MARv3.14. See file '<a title="melt_over_accumulation_calculations.py" href="https://github.com/jullienn/IceSlabs_SurfaceRunoff/blob/main/melt_over_accumulation_calculations.py">melt_over_accumulation_calculations.py</a>' in the code repository for post processing analysis.</li> <li>'RunoffLimits.zip'. '.csv' files. Maximum visible runoff limits in 2012 and 2019, sorted for each boxes generated by Tedstone and Machguth (2022). Each '.csv' file stores the data points coordinates (Geographical Reference System: WGS 84 / NSIDC Sea Ice Polar Stereographic North (EPSG:3413)) of the maximum visible runoff limit retrievals after filtering out the outliers. The maximum visible runoff limits where first presented in Tedstone and Machguth (2022).</li> </ul> <h3>Used in this study but from other datasets:</h3> <ul> <li>The ice slabs extent and ice slabs thickness were first presented in Jullien et al., (2023), and are accessible at: https://zenodo.org/records/7505426</li> <li>The radargrams displayed in Fig. 5c-f were first presented in Jullien et al., (2023), and are accessible at: https://zenodo.org/records/7505426. The following files were used: <ul> <li>'L1_may12_03_1_aggregated.pickle'</li> <li>'L1_may12_03_2_aggregated.pickle'</li> <li>'20100508_01_114_115_Depth_CORRECTED.pickle'</li> <li>'20140424_01_002_004_Depth_CORRECTED.pickle'</li> <li>'20180427_01_170_172_Depth_CORRECTED.pickle'</li> </ul> </li> <li>The surface topography present in Fig. 5g are 10 m resolution mosaics from the ArcticDEMv3 (Porter et al., 2018), and accessible at: https://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/mosaic/v3.0/</li> <li>The winter time strain rates map displayed in Fig. 5h were first presented in Poinar and Andrews (2021), and are accessible at: https://ubir.buffalo.edu/xmlui/handle/10477/82127</li> </ul> <p>&nbsp;</p> <h2>References:</h2> <p>Jullien, N., Tedstone, A. J., Machguth, H., Karlsson, N. B., &amp; Helm, V. (2023). Greenland Ice Sheet Ice Slab Expansion and Thickening.&nbsp;<em>Geophysical Research Letters</em>, <em>50</em>(10), e2022GL100911. https://doi.org/10.1029/2022GL100911</p> <p>Poinar, K., &amp; Andrews, L. C. (2021). Challenges in predicting Greenland supraglacial lake drainages at the regional scale. <em>The Cryosphere</em>, <em>15</em>(3), 1455&ndash;1483. https://doi.org/10.5194/tc-15-1455-2021</p> <p>Porter, C., Morin, P., Howat, I., Noh, M.-J., Bates, B., Peterman, K., Keesey, S., Schlenk, M., Gardiner, J., Tomko, K., Willis, M., Kelleher, C., Cloutier, M., Husby, E., Foga, S., Nakamura, H., Platson, M., Wethington, M., Jr., Williamson, C., &hellip; Bojesen, M. (2018). <em>ArcticDEM, Version 3</em> (Version V1) [dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/OHHUKH</p> <p>Tedstone, A. J., &amp; Machguth, H. (2022). Increasing surface runoff from Greenland&rsquo;s firn areas. <em>Nature Climate Change</em>. https://doi.org/10.1038/s41558-022-01371-z</p>

opencc-by-4.0Jul 2024View details →
zenodo40/100

Kimberlite eruption driven by slab flux and subduction angle

<p>A supplementary data archive containing plate reconstruction files for use in GPlates. This plate model was modified from a recently-published model (1) as follows. Subduction zones to which no motions were assigned were initially stationary through time; these were assigned new motions relative to the global plate circuit to model moderate trench retreat while still remaining consistent with tomographic constraints. The Orcas plate was split into two separate plates at 170&ndash;130 Ma, consistent with its configuration after 130 Ma, in order to accommodate divergence at the plate boundaries. The Caribbean plate was also split by a new back-arc spreading centre at 140&ndash;120 Ma, to allow for the formation of the Caribbean large igneous province at a spreading ridge (2). Finally, the absolute plate motion model was constrained using an iterative optimisation workflow (3)</p> <p><strong>References</strong></p> <ol> <li>EJ Clennett, et al., A Quantitative Tomotectonic Plate Reconstruction of Western North America and the Eastern Pacific Basin. Geochem. Geophys. Geosystems 21, 1&ndash;25 (2020).</li> <li>A Garc&iacute;a-Reyes, J Dyment, Structure, age, and origin of the Caribbean Plate unraveled. Earth Planet. Sci. Lett. 571,<br> 117100 (2021).</li> <li>MG Tetley, SE Williams, M Gurnis, N Flament, RD M&uuml;ller, Constraining Absolute Plate Motions Since the Triassic. J.<br> Geophys. Res. Solid Earth 124, 7231&ndash;7258 (2019).</li> </ol>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Figure 1. Siltstone slabs bearing Nanjinganthus. All bars are 1 in An unexpected noncarpellate epigynous flower from the Jurassic of China

Figure 1. Siltstone slabs bearing Nanjinganthus. All bars are 1 cm long. (A) Six flowers (1-6) on the same slab, and an associated triangular leaflet with parallel venation. PB22227. (B) Several flowers on the same slab. 1–3 are shown in detail in Figures 2f and 6d,e. PB22226. (C) Several flowers (1-8) on the same slab and the associated Nilssonia parabrevis (top). PB22220. (D) Several flowers (1-6) on the same slab. 1–3 are shown in detail in Figures 2h and 3a–c. PB22224. (E) Many flowers on the same slab. Some of the numbered ones are shown in detail in later figures. PB22222a. (F) A slab with numerous flowers. PB22221. (G) A slab almost fully covered with flowers. PB22228. DOI: https://doi.org/10.7554/eLife.38827.003

opencc-by-4.0Dec 2018View details →

ScienceDex guides

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record