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2,100 results for “nodes”
A quantum network node with crossed optical fibre cavities
<p>Data published in "<em> A quantum network node with crossed optical fibre cavities </em>"</p> <p>Nature Physics (2020)</p>
Density analysis of lymph node anlagen in whole mount acquired mouse embryos
<p>Raw data and script permitting to analyse the density of cervical, mandibular and axillary lymph node anlagen in whole mount aquired mouse embryos.</p>
Indistinguishable photons from a trapped-ion quantum network node
<p>Dataset of measurements for "Indistinguishable photons from a trapped-ion quantum network node"</p>
Data for "Impact of Ligand Substitution and Metal Node Exchange in the Electronic Properties of Scandium Terephthalate Frameworks"
<p>The AiiDA archives of the high-throughput calculations presented in the paper "Impact of Ligand Substitution and Metal Node Exchange in the Electronic Properties of Scandium Terephthalate Frameworks".</p><p>The file "MOF_workflows.aiida" contains the actual calculation data and the files with suffix "*.yaml" contain configuration files of the workflows.</p>
Temporal Patterns and Trends in Corporate Donations Using PageRank and Node Similarity Graph Algorithm
<p>Corporate donations wield considerable influence within political arenas, shaping policies and influencing decision-making processes. This study uses Neo4j, an advanced graph database tool, to explore a comprehensive company dataset, focusing on unraveling temporal patterns and evolving trends in corporate contributions. Visual representations, such as bar charts, reveal significant fluctuations in donations, indicating potential cyclic patterns occurring every six years. The study explores intricate relationships between donor entities and recipients, highlighting diverse donation patterns—both focused and widespread. The study's derived PageRank scores offer a comprehensive portrayal of the varying degrees of influence among diverse entities receiving donations within the network. Notably, the Conservative and Unionist Party emerges as the most prominent entity, boasting a striking score of 1.86, indicating a substantial influx of financial support likely to significantly shape its political endeavors. Despite a lower score of 0.62, the Labor Party still signifies a noteworthy level of financial backing, albeit less extensive than its counterpart. In contrast, the Liberal Democrats, The In Campaign Ltd, and Network for Animals Ltd exhibit comparatively restrained financial backing, warranting deeper investigation into the factors affecting their funding. Moreover, undisclosed findings regarding 170 similarity scores using Node Similarity algorithm disclose a prevalent similarity trend among entities, notably observed between Company 1 and Company 2, implying potential synergistic partnerships in donation-related endeavors. This high similarity often indicates shared values, highlighting prospects for collaborative initiatives or partnerships to augment positive impacts. Utilizing these insights supports the formulation of targeted donation strategies, circumventing donation redundancies, and ensuring optimal resource allocation for maximal societal benefit within specified sectors.</p> <p>Keywords—Company Dataset, Corporate Donations, Neo4j, Node Similarity, PageRank, Political Influence </p> <p> </p>
PubMed-Temporal: A dynamic graph dataset with node-level features
Open the record for dataset details and reuse information.
Benchmarking eliminative radiomic feature selection for head and neck lymph node classification - Supplemental data
<p>Supplementary files for the publication "Benchmarking eliminative radiomic feature selection for head and neck lymph node classification"</p>
Fig. 1. Philibertia woodii. A, floriferous node. B in A new species of Philibertia (Apocynaceae) from Bolivia
Fig. 1. Philibertia woodii. A, floriferous node. B, flower in superior view. C, gynostegium. D, pollinarium. E, ovary. (Drawings by Héctor A. Keller, from Zuloaga et al. 10407).
IoT nodes movement and job requests
<p>This dataset contains information about the movements of IoT nodes in an urban area with a 22KM x 8 KM dimension. The workload that is created by these nodes is originated from the requests submitted by these IoT nodes. Every event is logged with a timestamp along with other required information. Dataset files are in CSV format.</p>
IO500 10 node challenge
<p>10 node challenge data</p>
Accompanying dataset for: A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes
<p>This dataset accompanies the manuscript titled “A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes”, A. Radtke et al., bioRxiv, 2022. [<a href="https://doi.org/10.1101/2022.06.03.494716">doi: 10.1101/2022.06.03.494716</a>]</p> <p>The dataset contains the processed scRNA-seq information from human lymph nodes, both normal and from Follicular Lymphoma (FL) patients analyzed in this work as a Seurat object. The scRNA-seq information was saved in the rds format for viewing and analysis using the R programming language (to load it in R: <em>scrna_seq_data <- readRDS("scRNA_seq_data_object.rds")</em>).</p> <p>Additionally, the dataset contains comma-separated-value tables describing human lymph nodes, both normal and from Follicular Lymphoma (FL) patients. The files are formatted using the anatomical structures (AS), cell types (CT), and biomarkers (B), ASCT+B format defined by the Human BioMolecular Atlas Program (HuBMAP) for use with the <a href="http://hubmapconsortium.github.io/ccf-asct-reporter/">Reporter visualization tool</a>. Details on the structure of ASCT+B tables and the Reporter tool can be found in the <a href="https://doi.org/10.5281/zenodo.5944386">standard operating procedure</a> authored by the ASCT+B working group. </p> <p><strong>ASCT+B Table Details</strong></p> <p>In support of a human reference atlas (Regev et al., 2017; Snyder et al., 2019), the Human BioMolecular Atlas Program (HuBMAP) is creating machine readable tables that catalog the anatomical structures (AS), cell types (CT), and biomarkers (B) found in human organs (Börner et al., 2021). ASCT+B tables facilitate data integration across multimodal assays and support comparisons between normal and diseased tissues. In addition, they are readily visualized with the <a href="http://hubmapconsortium.github.io/ccf-asct-reporter/">ASCT+B Reporter</a>, a web based tool.</p> <p><br> For these reasons, we created 10 ASCT+B tables from the datasets included in our study. To construct these tables, we used the <a href="https://doi.org/10.48539/HBM573.SHCQ.259">Lymph Node v1.1 ASCT+B table</a> as a starting point. The presence or absence of anatomical structures was determined by visual inspection of images and quantitative image analysis of cellular communities. Certain anatomical structures were absent from the excisional biopsies of FL patients e.g., capsule, medulla, hilum, etc. In contrast, the lack of primary follicles, mantle zones, polarized germinal centers (GC), and negligible interfollicular cortex and paracortex in FL LNs reflects changes arising from malignancy. Cell types were defined based on gene biomarkers from bulk and single cell RNA sequencing (RNA-seq) and protein biomarkers from the highly multiplexed imaging method, IBEX (Radtke et al., 2022; Radtke et al., 2020). Whenever possible, cell types captured across assays were defined by both gene and protein biomarkers. However, several cell types were only profiled by bulk RNA-seq, scRNA-seq, or IBEX imaging. In these instances, only assay-specific biomarkers are included in the ASCT+B tables. Whenever possible, we used agreed upon ontology terms to define cell types; however, our study identified several unique cell types not included in ontology databases such as DC-SIGN+ follicular dendritic cells (FDCs). Furthermore, the Reporter does not allow visualization of similar cell types (DC-SIGN- FDCs versus DC-SIGN+ FDCs) in the same anatomical structure if a shared Cell Ontology (CL) identifier is used (FDC: CL:0000442). In these instances, we removed the CL term to allow the Reporter to display the various subpopulations discovered in this study. Cell types were placed in their respective anatomical structures using domain knowledge, visual inspection of images, and quantitative image analysis.</p> <p><strong>Reporter Usage Instructions</strong></p> <ul> <li>Visualizing an individual ASCT+B table: <ol> <li>Go to <a href="https://hubmapconsortium.github.io/ccf-asct-reporter/">Reporter</a></li> <li>Launch Playground</li> <li>Click on Upload tab</li> <li>Attach CSV final of ASCT+B table</li> <li>Use the toolbars on the left to adjust display. Typical parameters include: Tree Height (1400),Tree width (1000), Bimodal Distance X (500), and Bimodal Distance Y (50). </li> <li>Toggle between gene and protein biomarkers by clicking drop down menu under Biomarkers tab on left-side of screen.</li> </ol> </li> <li>Comparing non-FL and FL tables to the Lymph Node v1.1 ASCT+B table: <ol> <li>Go to <a href="https://hubmapconsortium.github.io/ccf-asct-reporter/">Reporter</a></li> <li>Select “go to visualization” to compare new tables to a master table for lymph node</li> <li>Click check box next to lymph node and select version of published master table v1.1</li> <li>Click submit</li> <li>Click compare button at top right tool bar</li> <li>Attach CSV file of non-FL and FL ASCT+B tables </li> <li>Pick colors </li> <li>Go to bottom of panel and click add</li> <li>Click compare</li> <li>Adjust settings for tree height, tree width, bimodal distance x, bimodal distance y, ontology ID on or off, biomarker type (gene or protein), etc.</li> </ol> </li> </ul> <p><strong>References</strong></p> <ul> <li>Börner, K., Teichmann, S.A., Quardokus, E.M., Gee, J.C., Browne, K., Osumi-Sutherland, D., Herr, B.W., Bueckle, A., Paul, H., Haniffa, M., et al. (2021). Anatomical structures, cell types and biomarkers of the Human Reference Atlas. Nature Cell Biology 23, 1117-1128.</li> <li>Radtke, A.J., Chu, C.J., Yaniv, Z., Yao, L., Marr, J., Beuschel, R.T., Ichise, H., Gola, A., Kabat, J., Lowekamp, B., et al. (2022). IBEX: an iterative immunolabeling and chemical bleaching method for high-content imaging of diverse tissues. Nature Protocols.</li> <li>Radtke, A.J., Kandov, E., Lowekamp, B., Speranza, E., Chu, C.J., Gola, A., Thakur, N., Shih, R., Yao, L., Yaniv, Z.R., et al. (2020). IBEX: A versatile multiplex optical imaging approach for deep phenotyping and spatial analysis of cells in complex tissues. Proc Natl Acad Sci U S A 117, 33455-33465.</li> <li>Regev, A., Teichmann, S.A., Lander, E.S., Amit, I., Benoist, C., Birney, E., Bodenmiller, B., Campbell, P., Carninci, P., Clatworthy, M., et al. (2017). The Human Cell Atlas. Elife 6.</li> <li>Snyder, M.P., Lin, S., Posgai, A., Atkinson, M., Regev, A., Rood, J., Rozenblatt-Rosen, O., Gaffney, L., Hupalowska, A., Satija, R., et al. (2019). The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nature 574, 187-192.</li> </ul> <p> </p>
Text-fig. 10. Platanoxylon cf. haydenii, a, e, h: UF 279-34470; b, c, d, f g: UF 279-34469. a, b: Diffuse porous wood with vessels solitary and in small multiples, which are mostly tangential or oblique, diffuse and diffuse-in-aggregates axial parenchyma., TS. c–e: Scalariform perforation plates. f, g: Opposite intervessel pits, TLS. h: Two size classes of rays, TLS. Platanus sp., UF 279- 24552. i: Predominantly solitary vessels, diffuse and diffuse-in-aggregates parenchyma, growth ring boundary distinct, noded rays, TS. j: Simple perforation plates (PP), RLS. k: Body of ray with procumbent ray cells, RLS. l: Scalariform perforation plate, RLS. m: Rays of two sizes, wide rays>10-seriate, TLS. Scale bars: 200 µm in a, b, h, i, m; 100 µm in j, k: 50 µm in c, d, e, f, l. in A Diverse Assemblage Of Late Eocene Woods From Oregon, Western Usa
Text-fig. 10. Platanoxylon cf. haydenii, a, e, h: UF 279-34470; b, c, d, f g: UF 279-34469. a, b: Diffuse porous wood with vessels solitary and in small multiples, which are mostly tangential or oblique, diffuse and diffuse-in-aggregates axial parenchyma., TS. c–e: Scalariform perforation plates. f, g: Opposite intervessel pits, TLS. h: Two size classes of rays, TLS. Platanus sp., UF 279- 24552. i: Predominantly solitary vessels, diffuse and diffuse-in-aggregates parenchyma, growth ring boundary distinct, noded rays, TS. j: Simple perforation plates (PP), RLS. k: Body of ray with procumbent ray cells, RLS. l: Scalariform perforation plate, RLS. m: Rays of two sizes, wide rays>10-seriate, TLS. Scale bars: 200 µm in a, b, h, i, m; 100 µm in j, k: 50 µm in c, d, e, f, l.
Text-fig. 11. Acer Post Hammer species 1, UF 279-34456. a, b: Diffuse-porous wood with distinct growth rings, marked by marginal parenchyma, vessels solitary and in short radial multiples, TS. c: Crowded alternate intervessel pits, TLS. d: Simple perforation plates, helical thickenings in vessel elements, TLS. e: Rays 2–3-seriate, gum deposit in vessel element, TLS. Acer Post Hammer species 2. UF 279-34466. f: Diffuse-porous wood with distinct growth rings, marked by marginal parenchyma, vessels solitary and in short radial multiples, TS. g: Alternate intervessel pits, helical thickenings in vessel elements, TLS. h: Rays 1–4(–5)-seriate, TLS. i: Crystalliferous strand, multiseriate ray, TLS. Trochodendron beckii, UF 279-24558. j, k: Distinct growth rings, abrupt transition from earlywood to latewood, vesselless, wide rays noded at growth ring boundaries, TS. l: Rays of two distinct sizes, uniseriate and multiseriates>10-seriate, TLS. m. Scalariform intertracheary pits. RLS. Scale bars: 500 µm in j; 200 µm in a, f, k, l; 100 µm in b, h; 50 µm in c, d, e, g, i, m. in A Diverse Assemblage Of Late Eocene Woods From Oregon, Western Usa
Text-fig. 11. Acer Post Hammer species 1, UF 279-34456. a, b: Diffuse-porous wood with distinct growth rings, marked by marginal parenchyma, vessels solitary and in short radial multiples, TS. c: Crowded alternate intervessel pits, TLS. d: Simple perforation plates, helical thickenings in vessel elements, TLS. e: Rays 2–3-seriate, gum deposit in vessel element, TLS. Acer Post Hammer species 2. UF 279-34466. f: Diffuse-porous wood with distinct growth rings, marked by marginal parenchyma, vessels solitary and in short radial multiples, TS. g: Alternate intervessel pits, helical thickenings in vessel elements, TLS. h: Rays 1–4(–5)-seriate, TLS. i: Crystalliferous strand, multiseriate ray, TLS. Trochodendron beckii, UF 279-24558. j, k: Distinct growth rings, abrupt transition from earlywood to latewood, vesselless, wide rays noded at growth ring boundaries, TS. l: Rays of two distinct sizes, uniseriate and multiseriates>10-seriate, TLS. m. Scalariform intertracheary pits. RLS. Scale bars: 500 µm in j; 200 µm in a, f, k, l; 100 µm in b, h; 50 µm in c, d, e, g, i, m.
FIGURE 19. Mendoncia vinciflora. A. Fertile node with one dichasium bearing a in Systematics of Mendoncia (Acanthaceae: Thunbergioideae) in the Paleotropics
FIGURE 19. Mendoncia vinciflora. A. Fertile node with one dichasium bearing a flower (Humbert 25016). B. Corolla tube split open to show androecium (Humbert 25016). C. Apex of peduncle and flower following dehiscence of corolla, showing (from bottom) flared apex of peduncle, short pedicel, calyx, nectar disc, and gynoecium (Humbert 7039). D. Drupe (Randrianarivelo et al. 330). Drawn by Sarah Adler.
Immunofluorescence of human metastatic lymph node
<p><strong>Description:</strong></p> <p>Immunofluorescence staining of a consecutive, 10 µm-thick section (IF section #1), consecutive to Open-ST metastatic lymph node section #2</p> <p>Data is provided as a standard, non-compressed pyramidal OME.TIFF file with 3 channels, converted with QuPath.</p> <p><strong>Channels:</strong></p> <p>0 (cyan): DAPI<br>1 (yellow): panCK<br>2 (magenta): VIM</p> <p><strong>Methods:</strong></p> <p>Immunofluorescent (IF) staining was performed on the first cryosection of the metastatic lymph node reserved for validations, as shown in the experimental setup in Figure 2D. This slide was reserved at -80°C for ~15 months, before proceeding to IF staining. Steps were performed at room temperature unless stated otherwise. Upon drying the slide, the OCT was removed in a 10-minute PBS wash. Next, the section was fixed with 4% formaldehyde (Sigma-Aldrich, F8775) for 15 minutes and then washed with DPBS (no calcium, no magnesium, Gibco™, 14190169) three times. Blocking and permeabilization was done by incubating in 0.25% Triton-X (Sigma-Aldrich, T8787) and 5% normal donkey serum (Biozol Diagnostica, SBA-0030-01) in DPBS for 1 hour. </p> <p>The section was incubated overnight at 4°C in the dark, with primary-conjugated antibodies diluted in a DPBS buffer with 0.1% Triton-X and 5% normal donkey serum, as follows: 1:100 for Pan Cytokeratin (mouse mAb, clones AE1and AE3, eFluor™ 570 conjugate, ThermoFisher, Cat# 41-9003-82), 1:50 for Vimentin (mouse mAb, clone V9, Alexa Fluor® 750 conjugate, Bio-Techne, Cat# NBP1-97670AF750). Following three 5-minute DPBS washes, DAPI staining was performed with 1 ug/mL DAPI (Bio-Trend, #40011) in DPBS for 10 min in the dark. After three DPBS rinses, the section was dried and then mounted with 85% glycerol. </p> <p>Images were acquired on the Leica Thunder DMi8 imager using a Leica DFC 9000GT sCMOS fluorescence camera, a 20X objective and the Leica Application Suite (LAS) X software (v.3.9.0.28093). Thunder instant computational clearing was performed on the image.</p>
Fig. 5. Maximum Likelihood tree for genus Thyridium with RPB2 dataset. Node numbers indicate bootstrap value above 70 in First report of seven unrecorded bambusicolous fungi in Korea
Fig. 5. Maximum Likelihood tree for genus Thyridium with RPB2 dataset. Node numbers indicate bootstrap value above 70%. Blue colored names indicate the strains isolated in this study. Type strains are indicated by "T".
Fig. 3. Maximum Likelihood tree for genus Macroconia with ITS dataset. Node numbers indicate bootstrap value above 70 in First report of seven unrecorded bambusicolous fungi in Korea
Fig. 3. Maximum Likelihood tree for genus Macroconia with ITS dataset. Node numbers indicate bootstrap value above 70%. Blue colored names indicate the strains isolated in this study. Type strains are indicated by "T".
Рис. 1. ФиΛогенетические Αеревья хантавируса AMRV и его прироΑного носитеΛя восточноазиатской мыши Apodemus peninsulae Thomas, 1906. А. ФиΛогенетическое Αерево восточноазиатской мыши Apodemus peninsulae, построенное метоΑом «максимаΛьного правΑопоΑобия» (ML) и поΛученное на основе анаΛиза участка гена цитохрома b мтΔНК (744 п.н.). В узΛах ветвΛения указаны бутстреп-поΑΑержки, рассчитанные ΑΛя 1000 повторов. Цветными Λиниями обозначены фиΛогенетические Λинии: Αве Китайские (зеΛеный), Корейская «Korea» (синий), Амурская «Amur» (красный). ПоΛужирным шрифтом выΑеΛены собственные образцы. Названия образцов из GenBank/NCBI быΛи сокращены; B. ФиΛогенетическое Αерево из работы Α. Н. Яшиной с ΑопоΛнениями, построенное метоΑом «бΛижайшего сосеΑа» (NJ) на основе посΛеΑоватеΛьностей фрагмента М-сегмента (2737–2980 н.п.) генома хантавирусов. В узΛах ветвΛения указаны бутстреппоΑΑержки, рассчитанные ΑΛя 1000 повторов. Жирным выΑеΛены иссΛеΑованные РНК изоΛяты (Яшина 2012; Яшина и Αр. 2019) Fig. 1. Phylogenetic trees of AMRV and its natural reservoir host — the Korean field mouse Apodemus peninsulae Thomas, 1906. A. Phylogenetic tree of the Korean field mouse Apodemus peninsulae constructed by the "maximum likelihood" method (ML). The data are obtained from the analysis of the cytochrome b mtDNA gene fragments (744 bp). Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. Colored lines indicate phylogenetic lines: two Chinese (green), Korea (blue), and Amur (red). Own samples are highlighted in bold. The names of the samples from GenBank/NCBI have been shortened; B. Phylogenetic tree from L. N. Yashina's work with additions constructed by the neighbour joining method (NJ). It is based on the sequences of an M-segment fragment (2737–2980 bp) of the hantavirus genome. Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. The researched RNA isolates are highlighted in bold (Yashina 2012; Yashina et al. 2019) in Variability of the gene cyt b in the Korean field mouse Apodemus peninsulae Thomas, 1906 - a reservoir host of AMRV in the Khasansky District of Primorsky Krai
Рис. 1. ФиΛогенетические Αеревья хантавируса AMRV и его прироΑного носитеΛя восточноазиатской мыши Apodemus peninsulae Thomas, 1906. А. ФиΛогенетическое Αерево восточноазиатской мыши Apodemus peninsulae, построенное метоΑом «максимаΛьного правΑопоΑобия» (ML) и поΛученное на основе анаΛиза участка гена цитохрома b мтΔНК (744 п.н.). В узΛах ветвΛения указаны бутстреп-поΑΑержки, рассчитанные ΑΛя 1000 повторов. Цветными Λиниями обозначены фиΛогенетические Λинии: Αве Китайские (зеΛеный), Корейская «Korea» (синий), Амурская «Amur» (красный). ПоΛужирным шрифтом выΑеΛены собственные образцы. Названия образцов из GenBank/NCBI быΛи сокращены; B. ФиΛогенетическое Αерево из работы Α. Н. Яшиной с ΑопоΛнениями, построенное метоΑом «бΛижайшего сосеΑа» (NJ) на основе посΛеΑоватеΛьностей фрагмента М-сегмента (2737–2980 н.п.) генома хантавирусов. В узΛах ветвΛения указаны бутстреппоΑΑержки, рассчитанные ΑΛя 1000 повторов. Жирным выΑеΛены иссΛеΑованные РНК изоΛяты (Яшина 2012; Яшина и Αр. 2019) Fig. 1. Phylogenetic trees of AMRV and its natural reservoir host — the Korean field mouse Apodemus peninsulae Thomas, 1906. A. Phylogenetic tree of the Korean field mouse Apodemus peninsulae constructed by the "maximum likelihood" method (ML). The data are obtained from the analysis of the cytochrome b mtDNA gene fragments (744 bp). Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. Colored lines indicate phylogenetic lines: two Chinese (green), Korea (blue), and Amur (red). Own samples are highlighted in bold. The names of the samples from GenBank/NCBI have been shortened; B. Phylogenetic tree from L. N. Yashina's work with additions constructed by the neighbour joining method (NJ). It is based on the sequences of an M-segment fragment (2737–2980 bp) of the hantavirus genome. Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. The researched RNA isolates are highlighted in bold (Yashina 2012; Yashina et al. 2019)
Scalasca analysis report for SPEC MPI.2007 benchmark 132.zeump2 on 512 processes in virtual-node mode on Blue Gene/P
<p>A Cube3 performance analysis report written by the Scalasca 1.x parallel analyzer of a measurement of the SPEC MPI 2007 benchmark 132.zeusmp2 (ZeusMP/2) executed in virtual-node mode on 512 processes of the IBM Blue Gene/P system JUQUEEN, operated by Forschungszentrum Jülich GmbH.</p>
Scalasca analysis report of the ASCI Sweep3D benchmark on 294,912 processes in virtual-node mode on IBM Blue Gene/P with manually annotated iterations
<p>A Cube3 performance analysis report written by the Scalasca parallel analyzer of a measurement of the ASCI benchmark Sweep3D, executed in virtual-node mode on 294,912 processes of the IBM Blue Gene/P system JUQUEEN, operated by Forschungszentrum Jülich GmbH. The measurement includes system topology information and manual annotations of the twelve iterations.</p>
ScienceDex guides
Understand access before you commit
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.