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41 results for “Pore structure”
→ Fig. 10. FESEM images of the test structure in lagenid foraminifers from Recent, Admiralty Bay, King George Island, West Antarctica (A) and from the Jurassic of Gnaszyn, Poland (B, C). A. Unilocular Procerolagena gracilis Williamson, 1848, MWGUW ZI/67/44/02. B. Unilocular Lagena globosa Montagu, 1803, MWGUW ZI/67/61/09. C. Uniserial Nodosaria pulchra Franke, 1936, MWGUW ZI/67/61/26. Oblique cross-sectional views (A1, A2, A4, B1, B2, C); transverse cross-sectional views, showing single-crystal interlocked bundle structures, inner pores which extend along the entire length of the bundles as well as prominent calcite cleavage (A3, B3). Abbreviations: c, prominent calcite cleavage; ip, inner pore. in Chamber arrangement versus wall structure in the high-rank phylogenetic classification of Foraminifera
→ Fig. 10. FESEM images of the test structure in lagenid foraminifers from Recent, Admiralty Bay, King George Island, West Antarctica (A) and from the Jurassic of Gnaszyn, Poland (B, C). A. Unilocular Procerolagena gracilis Williamson, 1848, MWGUW ZI/67/44/02. B. Unilocular Lagena globosa Montagu, 1803, MWGUW ZI/67/61/09. C. Uniserial Nodosaria pulchra Franke, 1936, MWGUW ZI/67/61/26. Oblique cross-sectional views (A1, A2, A4, B1, B2, C); transverse cross-sectional views, showing single-crystal interlocked bundle structures, inner pores which extend along the entire length of the bundles as well as prominent calcite cleavage (A3, B3). Abbreviations: c, prominent calcite cleavage; ip, inner pore.
CX-MS Datasets for "Comprehensive Structure and Functional Adaptations of the Yeast Nuclear Pore Complex"
<p>This repository contains chemical cross-linking mass spectrometry data of affinity-purified Yeast nuclear pore complexes.</p> <p>Data Files Description:</p> <p>NPC_XL_Identification_Inter_Crosslinked.csv: Inter-protein cross-links identified by pLink 2.</p> <p>NPC_XL_spectra.mgf: MS2 spectra data for the identified cross-links.</p> <p>NPC_XL_proteins.fasta : Protein sequences used for search.</p> <p>Sample Processing:</p> <p>NPCs were immuno-purified from Mlp1 tagged S. cerevisiae strains (Kim et al., 2018). After native elution, 1.0 mM disuccinimidyl suberate (DSS) was added and the sample was incubated at 25ºC for 40 min with shaking (1,200 rpm). The reaction was quenched by adding a final concentration of 50 mM freshly prepared ammonium bicarbonate and incubating for 20 min with shaking (1,200 rpm) at 25ºC. The sample (50 µg) was then concentrated and denatured at 98ºC for 5 min in a solubilization buffer (10% solution of 1-dodecyl-3-methylimidazolium chloride (C12-mim-Cl) in 50 mM ammonium bicarbonate, pH 8.0, 100 mM DTT). After denaturation, the sample was centrifuged at 21,130 g for 10 min and the supernatant was transferred to a 100 kDa MWCO ultrafiltration unit (MRCF0R100, Microcon). The sample was quickly spun at 1,000 g for 2 min and washed twice with 50 mM ammonium bicarbonate. After alkylation (50 mM iodoacetamide), the cross-linked NPC in-filter was digested by trypsin and lysC O/N at 37ºC. After proteolysis, the sample was recovered by centrifugation and peptides were fractionated into 10-12 fractions by using a stage tip self-packed with basic C18 resins (Dr. Masch GmbH). Fractionated samples were pooled prior to LC/MS analysis.</p> <p>Desalted cross-link peptides were dissolved in the sample loading buffer (5% Methanol, 0.2% FA), separated with an automated nanoLC device (nLC1200, Thermo Fisher), and analyzed by an Orbitrap Q Exactive HFX (Pharma mode) mass spectrometer (Thermo Fisher) as previously described (Xiang et al., 2020; Xiang et al., 2021). Briefly, peptides were loaded onto an analytical column (C18, 1.6 μm particle size, 100 Å pore size, 75 μm × 25 cm; IonOpticks) and eluted using a 120-min liquid chromatography gradient. The flow rate was approximately 300 nl/min. The spray voltage was 1.7 kV. The QE HF-X instrument was operated in the data-dependent mode, where the top 10 most abundant ions (mass range 380 – 2,000, charge state 4 - 8) were fragmented by high-energy collisional dissociation (HCD). The target resolution was 120,000 for MS and 15,000 for tandem MS (MS/MS) analyses. The quadrupole isolation window was 1.8 Th; the maximum injection time for MS/MS was set at 200 ms.</p> <p>Data Processing:</p> <p>The raw data were searched with pLink2 (Chen et al., 2019b). An initial MS1 search window of 5 Da was allowed to cover all isotopic peaks of the cross-linked peptides. The data were automatically filtered using a mass accuracy of MS1 ≤ 10 ppm (parts per million) and MS2 ≤ 20 ppm of the theoretical monoisotopic (A0) and other isotopic masses (A+1, A+2, A+3, and A+4) as specified in the software. Other search parameters included cysteine carbamidomethyl as a fixed modification and methionine oxidation as a variable modification. A maximum of two trypsin missed-cleavage sites was allowed. The initial search results were obtained using a default 5% false discovery rate (FDR) expected by the target-decoy search strategy. Spectra were manually verified to improve data quality (Kim et al., 2018; Shi et al., 2014). Cross-linking data were analyzed and plotted with CX-Circos (http://cx-circos.net).</p>
Text-fig. 8. Carpolithes (a–t). a–e: Carpolithes sp. 1. USNM PAL 772366. Scale bar = 1 cm. a: Lateral view of endocarp, note two longitudinal ridges. b: Lateral view of endocarp rotated 90° from (a), note single lateral ridge in center, a, b reflected light, palladium coated. c: Lateral view, Micro-CT scan surface rendering. d: View of rounded end of the endocarp, reflected light, palladium coated. e: View of the opposite (pointed) end of the endocarp, note split; reflected light, palladium coated. f–j: Carpolithes sp. 2. USNM PAL 772367. Scale bar = 5 mm. f: Lateral view, base down; note raphe-like structure (arrow), reflected light, palladium coated. g: Lateral view, the raphe-like structure extending vertically from the base. h: Lateral view, rotated 90° from (g). i: Lateral view, the opposite face to that in (h). j: Basal view, raphe-like structure running from the center to the right of the image. g–j: CT scan surface renderings. k–o: Carpolithes sp. 3 USNM PAL 772368. Scale bar = 5 mm. k: Ventral view of the specimen, note flared apical extension, reflected light, uncoated. l: Dorsal view illustrating the flared apical extension, rotated 180o from (k). m: Lateral view rotated 90° from that in (l). n: Apical view, the apical extension with central pore (arrow) and a clear lineation running down the side to the top of the image. o: Basal view. l–o: Micro-CT scan surface renderings. p–t: Carpolithes sp. 4. USNM PAL 772369. Scale bar = 3 mm. p: Basal view illustrating the concentric rings of radiating possible cells surrounding a central depression. q: Lateral view, base down, note possible cellular pattern. r: Lateral view, rotated 180° from (q), base down; p–r: reflected light, palladium coated. s, t: Basal and lateral views, micro-CT scan surface renderings. in The Early Middle Eocene Wagon Bed Carpoflora Of Central Wyoming, U.S.A.
Text-fig. 8. Carpolithes (a–t). a–e: Carpolithes sp. 1. USNM PAL 772366. Scale bar = 1 cm. a: Lateral view of endocarp, note two longitudinal ridges. b: Lateral view of endocarp rotated 90° from (a), note single lateral ridge in center, a, b reflected light, palladium coated. c: Lateral view, Micro-CT scan surface rendering. d: View of rounded end of the endocarp, reflected light, palladium coated. e: View of the opposite (pointed) end of the endocarp, note split; reflected light, palladium coated. f–j: Carpolithes sp. 2. USNM PAL 772367. Scale bar = 5 mm. f: Lateral view, base down; note raphe-like structure (arrow), reflected light, palladium coated. g: Lateral view, the raphe-like structure extending vertically from the base. h: Lateral view, rotated 90° from (g). i: Lateral view, the opposite face to that in (h). j: Basal view, raphe-like structure running from the center to the right of the image. g–j: CT scan surface renderings. k–o: Carpolithes sp. 3 USNM PAL 772368. Scale bar = 5 mm. k: Ventral view of the specimen, note flared apical extension, reflected light, uncoated. l: Dorsal view illustrating the flared apical extension, rotated 180o from (k). m: Lateral view rotated 90° from that in (l). n: Apical view, the apical extension with central pore (arrow) and a clear lineation running down the side to the top of the image. o: Basal view. l–o: Micro-CT scan surface renderings. p–t: Carpolithes sp. 4. USNM PAL 772369. Scale bar = 3 mm. p: Basal view illustrating the concentric rings of radiating possible cells surrounding a central depression. q: Lateral view, base down, note possible cellular pattern. r: Lateral view, rotated 180° from (q), base down; p–r: reflected light, palladium coated. s, t: Basal and lateral views, micro-CT scan surface renderings.
Structure and Function of the Nuclear Pore Complex Cytoplasmic mRNA Export Platform
<p>These scripts demonstrate the use of <a href="https://integrativemodeling.org/">IMP</a>, <a href="https://salilab.org/modeller">MODELLER</a>, and <a href="https://github.com/salilab/pmi">PMI</a> in the modeling of the Nup82 complex using DSS/EDC chemical cross-links and electron microscopy (EM) 2D class averages.</p> <p>First, <a href="https://salilab.org/modeller">MODELLER</a> is used to generate initial structures for the individual components in the Nup82 complex. Then, IMP is used to model these components using DSS/EDC crosslinks and the electron microscopy 2D class averages for the entire Nup82 complex.</p> <p>The modeling protocol will work with a default build of IMP, but for most effective sampling, IMP should be built with <a href="https://integrativemodeling.org/2.5.0/doc/ref/namespaceIMP_1_1mpi.html">MPI</a> so that replica exchange can be used.</p> <p><strong>For more information</strong> about how to reproduce this modeling, see the <a href="https://salilab.org/nup82/">Sali lab website</a> or the README file.</p>
Text-fig. 33. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a, c) and scanning electron microscope (SEM, b, d) images of Paisia pantoporata (a–c) and?Paisia sp. (d); Catefica locality, Portugal. a) Lateral view (volume rendering) of flower showing the carpels (c) and the fleshy tepals (t) that have a slightly bulge near the base; b) Pollen grains in situ from stamen showing scattered pores and spiny supratectal ornamentation; c) Transverse section (orthoslice xz1024) through flower showing the pentamerous organization with five tepals (green) five stamens (yellow) and five carpels (red) all on the same radii; d) Lateral view of floral structure with three free carpels borne on the swollen receptacle that has poorly defined facets at the apex indicating the former presence of perianth parts. Specimens, Catefica 49-S101214 (a, c), Catefica 50-S170188 (b), Catefica MM125-P0292 (d). Scale bars = 300 Μm (a, c, d), 6 Μm (b). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 33. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a, c) and scanning electron microscope (SEM, b, d) images of Paisia pantoporata (a–c) and?Paisia sp. (d); Catefica locality, Portugal. a) Lateral view (volume rendering) of flower showing the carpels (c) and the fleshy tepals (t) that have a slightly bulge near the base; b) Pollen grains in situ from stamen showing scattered pores and spiny supratectal ornamentation; c) Transverse section (orthoslice xz1024) through flower showing the pentamerous organization with five tepals (green) five stamens (yellow) and five carpels (red) all on the same radii; d) Lateral view of floral structure with three free carpels borne on the swollen receptacle that has poorly defined facets at the apex indicating the former presence of perianth parts. Specimens, Catefica 49-S101214 (a, c), Catefica 50-S170188 (b), Catefica MM125-P0292 (d). Scale bars = 300 Μm (a, c, d), 6 Μm (b).
Data set related to the manuscript "Ionic liquids under confinement: From systematic variations of the ion and pore sizes towards an understanding of structure and dynamics in complex porous carbons"
<p>Graphical files in the agr format for all the figures in the main text of the manuscript entitled "Ionic liquids under confinement: From systematic variations of the ion and pore sizes towards an understanding of structure and dynamics in complex porous carbons" (10.1021/acsami.9b16740). Example of input file for one of the systems simulated.</p>
Characterization of Pore Structure with Box Counting Fractal Dimension Based on Digital Rock
<p>This is a supplementary data set for a manuscript submitted to Journal of Geophysical Research: Solid Earth. This data set includes CT samples, process-based model, fractal dimensions calculated by the box counting algorithm, and Matlab codes to implement these modeling and fractal calculations.</p>
Dataset files for 'Tan et al., Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'
<p>These files are the data and result files for the manuscript entitled<strong> 'Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'</strong> by Tan et al., including</p> <p>catalog.dat : the seismic phase catalog used in seismic tomography</p> <p>station.dat : the station coordinates of the local seismic network</p> <p>relocation.dat : the earthquake relocations obtained by double-difference seismic tomography</p> <p>1-D Vs.xlsx : the 1-D Vs model in the shale gas field</p> <p>3-D Vp.dat: the 3-D Vp model obtained by DD seismic tomography</p> <p>3-D Vs.dat: the 3-D Vs model obtained by DD seismic tomography</p> <p>3-D VpVs.sgy: the 3-D Vp/Vs model obtained by DD seismic tomography (3-5 km)</p> <p>3-D pressure.sgy: the 3-D pore pressure field model obtained by focal mechanism tomography (3-5 km)</p>
Dataset files for 'Tan et al., Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'
<p>These files are the data and result files for the manuscript entitled<strong> 'Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'</strong> by Tan et al., including</p> <p><strong>station.dat</strong> : the station coordinates of the local seismic network (including the station ID, longitude, latitude, elevation(negative)/depth(positive), X, Y)</p> <p><strong>catalog.dat</strong> : the seismic phase catalog used in double-difference (DD) seismic tomography</p> <p><strong>relocation.dat </strong>: the earthquake relocations obtained by DD tomography</p> <p><strong>1-D Vs.xlsx</strong> : the 1-D Vs model in the shale gas field</p> <p><strong>3-D Vp.dat</strong>: the 3-D Vp model obtained by DD tomography</p> <p><strong>3-D Vs.dat</strong>: the 3-D Vs model obtained by DD tomography</p> <p><strong>3-D VpVs.sgy</strong>: the 3-D Vp/Vs model (interpolated, within 3-5 km)</p> <p><strong>3-D pressure.sgy</strong>: the 3-D pore pressure field model (interpolated, within 3-5 km)</p>
Integrative Structure and Functional Anatomy of a Nuclear Pore Complex
<p>This repository contains the chemical cross-linking mass spectrometry raw data of the nuclear pore complex.</p>
Structural determinants of ivabradine block of the open pore of HCN4
<p>Dataset underlying findings published in:<br>"Structural determinants of ivabradine block of the open pore of HCN4", PNAS (DOI: https://doi.org/10.1073/pnas.2402259121)</p>
CT image volume, gray values and pore structure parameters of hydrate formation in sands
<p>The dataset consists of CT raw volume and gray values of hydrate formation (hydrate saturation 0, 14%, 35% and 51%), methane hydrate growth pattern, and the pore structure parameters. The dataset associated with the manuscript entitled " Investigation on the multi-parameter of hydrate-bearing sands using nano-focus X-ray computed tomography" .</p> <p> </p>
Additional raw data for: Structure and assembly of a bacterial gasdermin pore
<p>This repository is an addition to 10.5281/zenodo.7828403. Both contain raw data and code related to "Structure and assembly of a bacterial gasdermin pore" by Johnson et al.</p><p>Included here are additional simulation files of membrane bound deltaCTD monomers and dimers at elevated temperature and circular and elliptical models of 52mer <i>Vitiosangium</i> bGSDM pores. Trajectories are subsampled with one frame every nanosecond. </p><p>Contact information:<br>Name: Stefan L. Schaefer<br>Institution: Department of Theoretical Biophysics, Max Planck Institute of Biophysics<br>Address: Max-von-Laue-Str. 3, 60438 Frankfurt am Main, Germany<br>Email: stefan.schaefer@biophys.mpg.de</p>
Data from: Dynamic pore structure evolution of the ion adsorbed rare earth ore during the ion exchange process
<p><span>During the leaching process of the ion adsorbed rare earth ore, the pore structure evolution of the ore body plays a vital role in the seepage of the leaching solution. To investigate the evolution of the pore structure during the leaching process, experiments have been carried out with remodeled rare earth ore samples based on physical characteristics of in-situ ores. The seepage rate difference between deionized water leaching solution and 2% NH<sub>4</sub>Cl leaching solution during the active leaching period are analyzed. The porosity and the dynamic pore size evolution of pore structures in the ore body are discussed. Results indicate that along with ion exchange between the rare earth ore and the leaching solution, the porosity of the sample remains constant and the pore structure shows a decreasing trend in the first part and an increasing trend in the second part. Specifically, during the ion exchange process, the number of minimal pores (0~5μm), small pores (5~10μm), and medium pores (10~25μm) increases significantly and the number of medium-large pores (25~60μm), large pores (60~120μm), and mega pores (>120μm) decreases dramatically. Along with the completion of the ion exchange process, the evolution of porous structure shows an opposite trend. The mechanism study reveals that the evolution of pore structure is induced by the difference of ionic strength in the leaching solution during the ion exchange process, where the rare earth ore microparticles will be absorbed or desorbed on to the solid phase.</span></p>
Comparative Pore Structure and Dynamics for Bacterial Microcompartment Shell Protein Assemblies in Sheets or Shells
<blockquote> <p>Input structures for a manuscript, along with selected output data and structures. This directory structure contains a cut-down copy of the directories used to generate the simulation data and the analysis. In order to make this fit into the 50GB Zenodo limit, it was constructed with the following tar commands:<br><br>For <a href="../api/records/10800570/draft/files/bmc_shell_vs_sheet.tar.gz/content" target="_blank" rel="noopener noreferrer">bmc_shell_vs_sheet.tar.gz:</a><br><code>tar -zcvf bmc_shell_vs_sheet.tar.gz --exclude="*BAK" --exclude="*#" --exclude="*log" --exclude="*xsc" --exclude="*coor" --exclude="*vel" --exclude="*[0-9].out" --exclude="*old" --exclude="*dcd" --exclude="*tmp" --exclude="*ppm" --exclude="*png" --exclude="*pdf" --exclude="*catchy*" --exclude="*svg" --exclude="*restart*" --exclude="*history" --exclude="core.*" --exclude="FFTW_NAMD*" --exclude="*avi" --exclude="*mp4" --exclude="*pcad*" --exclude="*pcaa*" --exclude="*ammn*" --exclude="*amnp*" --exclude="*amsa*" --exclude="*dtnt*" --exclude="*mthl*" --exclude="*ntrt*" --exclude="*.inp" --exclude="*.sph" --exclude="structures" --exclude="test-sim" --exclude="test-sim-flatten-constantarea" --exclude="*.dx"</code><br><br>For <a href="../api/records/10800570/draft/files/bmcflattenmdff.tar.gz/content" target="_blank" rel="noopener noreferrer">bmcflattenmdff.tar.gz</a>:<br><code>tar --exclude="emdensitymap" --exclude="emstructures" --exclude="forSaad" --exclude="*dcd" --exclude="*ppm" --exclude="*mp4" --exclude="*png" --exclude="*old" --exclude="*BAK" --exclude="*txt" --exclude="animations" --exclude="apbs*" -zcvf bmcflattenmdff.tar.gz</code><br><br>The bmc_shell_vs_sheet has the folder test-sim-curved for shell simulation while test-sim-flatten-noconstantratio for sheet simulation.<br>Pore analysis for shell can be found in hole2 and for sheet in hole-flatten<br>Analysis has been done with various *py *sh and *tcl files<br>For visualizing trajectories in VMD "<strong>load*.tcl</strong>" scripts were used.<br><br>The bmcflattenmdff contains all the scripts needed for converting the shell topology to sheet.</p> </blockquote>
Data from: Fractal characteristics of shale pore structure and its influence on seepage flow
<p>The migration law of shale gas has a significant influence on the seepage characteristics of shale, and the flow of the gas is closely related to the pore structure. To explore the influence of shale pore parameters on permeability in different diffusion zones, the pore structure of the shale in the Niutitang Formation in Guizhou, China, was analyzed based on liquid nitrogen adsorption experiments and nuclear magnetic resonance experiments. The relationship among fractal dimension, organic carbon content (TOC), and BET specific surface area was analyzed based on the fractal dimension of shale pores calculated using the Frenkel‒Halsey‒Hill model. Shale permeability was calculated using the Knudsen number and permeability equation, and the influence of the fractal dimension and porosity in different diffusion zones on shale permeability was analyzed. Previous studies have shown that: (1) the pores of shale in the Niutitang Formation, Guizhou are mainly distributed within 1‒100 nm, with a small total pore volume per unit mass, average pore diameter, large BET specific surface area, and porosity; (2) fractal dimension has a negative correlation with average pore diameter and TOC content and a quadratic relationship with BET specific surface area; (3) permeability has a positive correlation with Kn, porosity, and fractal dimension. In the transitional diffusion zone, fractal dimension and porosity have a significant impact on permeability. In the Knudsen diffusion zone, porosity has no obvious effect on permeability. The methodologies and results presented will enable more accurate characterization of the complexity of pore structures of porous media, and allow further understanding of the seepage law of shale gas.</p>
FIGURE. Floral habit and structure of C. spongifolia. A. Type specimen in situ with open, spathe limb (apex is reflexed out of view), and green spathe tube (ca. 6 cm long). B. Adjacent plant with inflorescences and prophylls. C. Spadix showing from top: sterile appendix, staminate (male) zone, sterile interstice, and green pistillate (female) zone with tapered, conical form. D. Detail of female zone showing a few basal staminodes. E–G. Berries of the preserved type specimen. G. Dissected berry with orthotropous ovules (some outlined) attached by funicles to parietal placentae (arrows). H. Surface of male zone showing closely-packed synandria. I. Synandria separated to show fused anther sacs beneath apical pores (example in center has 8 pores, 8 anthers) J. Mature fruiting head, with single berry removed to show seed packing and 67 seeds extracted (scale bar units: 1 mm) (Bach Ma NP; type 2020; fruit and seeds 2018). Photos: NVD and PJM. in Colocasia spongifolia sp. nov. (Araceae) in southern China and central Vietnam
FIGURE. Floral habit and structure of C. spongifolia. A. Type specimen in situ with open, spathe limb (apex is reflexed out of view), and green spathe tube (ca. 6 cm long). B. Adjacent plant with inflorescences and prophylls. C. Spadix showing from top: sterile appendix, staminate (male) zone, sterile interstice, and green pistillate (female) zone with tapered, conical form. D. Detail of female zone showing a few basal staminodes. E–G. Berries of the preserved type specimen. G. Dissected berry with orthotropous ovules (some outlined) attached by funicles to parietal placentae (arrows). H. Surface of male zone showing closely-packed synandria. I. Synandria separated to show fused anther sacs beneath apical pores (example in center has 8 pores, 8 anthers) J. Mature fruiting head, with single berry removed to show seed packing and 67 seeds extracted (scale bar units: 1 mm) (Bach Ma NP; type 2020; fruit and seeds 2018). Photos: NVD and PJM.
Dataset - Impact of alkalis and shrinkage-reducing admixtures on hydration and pore structure of hardened cement pastes
<p>XRD and TGA data for cement pastes at various content of alkali and SRA at ages of 7 days to 1 year.</p>
Supplemental Dataset for paper: Methane ebullition from subtropical peat: testing an ebullition model reveals the importance of pore structure
<p>A dataset requested for publication of Journal Article, "<strong>Methane ebullition from subtropical peat: testing an ebullition model reveals the importance of pore structure"</strong></p>
From pore scale to reservoir scale: Quality evaluation of pore structures and the unconventional reservoirs
<p>This file contains the 2D image analysis data, the analysis data of 3D mercury intrusion of each type of pore structure facies, and the calculation source of the sweet spot index of the reservoir, and the sedimentary facies map of the Liushagang Formation in the Weixinan Depression, South China Sea. This data set is a supplement information to the paper "From pore scale to reservoir scale: Quality evaluation of pore structures and the unconventional reservoirs"(Submitted).</p>
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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)
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.