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1,037 results for “large-scale”
Large-scale annotation dataset for cell/tissue segmentation in H&E-stained images : anti-MIST1 (plasma cells)
<p><strong>LICENSE</strong></p> <p>This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (<strong>CC-BY-NC-SA 4.0</strong>)</p> <p>For non-commercial use, please use the dataset under CC-BY-NC-SA.<br> If you would like to use the dataset for commercial purposes, please contact us (ishum-prm@m.u-tokyo.ac.jp).</p> <p>A Tar.gz file contains the following files:</p> <p>- HE image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_HE.png</p> <p>- Mask image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_mask.png</p> <p>Each image file is 984x984 px.</p> <p>posX and posY are the leftmost position in WSI coordinate.</p> <p>Mask files store binary segmentation mask (background : 0, target : 1)</p> <p> </p> <p>A csv file contains the following information:</p> <p>antigen : Antibodies for this antigen were used to create the segmentation mask.</p> <p>filename: filename of image or mask file.</p> <p>train_val_test : train, validation, or test sample in the paper.</p> <p> </p> <p><strong>Citation</strong></p> <p>If you use this dataset for your research, please cite our paper.</p> <p>Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa,<br> Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists, Patterns, Volume 4, Issue 2, 2023, 100688, https://doi.org/10.1016/j.patter.2023.100688.</p>
Additional Material for The Technical Debt Gamble: A Case Study on Technical Debt in a Large-Scale Industrial Microservice Architecture
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Large-Scale Atlas of Mutant IDH1-Dependent Chromatin State Reprogramming, Reversibility, and Persistence [methylation]
GEO Series GSE85938. Homo sapiens. 33 samples. Type: Methylation profiling by genome tiling array.
Hyperosmotic stress induces a large-scale rewiring of 3D chromatin interactions [RNA-Seq]
GEO Series GSE310049. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing.
Large-scale hypomethylated blocks associated with Epstein-Barr virus-induced B-cell immortalization [Expression Array]
GEO Series GSE49628. Homo sapiens. 9 samples. Type: Expression profiling by array.
Data from: Effects of large-scale releases on the genetic structure of red sea bream (Pagrus major, Temminck et Schlegel) populations in Japan
Open the record for dataset details and reuse information.
Dataset for Large-Scale Analysis of Modern Code Review Practices and Software Security in Open Source Software
Open the record for dataset details and reuse information.
Large-Scale CRISPR Screening in Primary Human 3D Gastric Organoids Enables Comprehensive Dissection of Gene-Drug Interactions [ATAC-seq]
GEO Series GSE280256. Homo sapiens. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Large-Scale Atlas of Mutant IDH1-Dependent Chromatin State Reprogramming, Reversibility, and Persistence [ChIP-seq]
GEO Series GSE85940. Homo sapiens. 129 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Large-scale genomic reorganizations of topological domains (TADs) at the HoxD locus
GEO Series GSE98233. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
Large-scale analysis of the human transcriptome
GEO Series GSE96. Homo sapiens. 85 samples. Type: Expression profiling by array.
Large-scale discovery of potent, compact and lineage specific enhancers for gene therapy vectors [DNaseI-seq]
GEO Series GSE252160. Homo sapiens. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
XMM-Newton Large-Scale Structure Deep Full-Exposure X-Ray Source Catalog
This table contains some of the X-ray results from the final release of the multiwavelength XMM-Large Scale Structure (LSS) data set, covering the full survey area of 11.1 deg<sup>2</sup>. The 124 XMM-Newton observations used in the complete XMM-LSS are described in Section 2 and Table 1 of the primary reference paper (Chiappetti et al. 2013, hereafter Paper II). The X-ray data were processed with the latest XMM-LSS XAMIN pipeline version. The catalogs in Paper II supersede the catalog from the first paper in this series (Paper I: Pierre et al. 2007, MNRAS, 382, 279, available at the HEASARC as the XMMLSS table) pertaining to the initial 5 deg<sup>2</sup>. The authors provide X-ray source lists in the customary soft and hard energy bands (0.5-2 keV and 2-10 keV, respectively) for a total of 6721 objects in the deep full-exposure 2XLSSd catalog presented in this table, and 5572 objects in the catalog limited to 10 ks exposures (available at the HEASARC as the XMMLSS10KS table), above a detection likelihood of 15 in at least one band. At the XMMLSS web site which they maintain (<a href="http://cosmosdb.iasf-milano.inaf.it/XMM-LSS/">http://cosmosdb.iasf-milano.inaf.it/XMM-LSS/</a>), the authors also provide a multiwavelength catalog, cross-correlating their list of X-ray sources with infrared, near-infrared, optical and ultraviolet catalogs. Customary data products, such as X-ray FITS images and thumbnail images from the Canada-France-Hawaii Telescope Legacy Survey and the Spitzer Wide-Area Infrared Extragalactic Survey, are made available there, together with their data base in Milan, which can be queried interactively. In this table, the authors provide the source list for the full area (11.1 square degrees) of the XMM-LSS, with a total of 6721 point-like or extended sources above a detection likelihood of 15 in either the 0.5-2 or 2-10 keV bands. This table, the 2XLSSd "deep catalog" version containing the result of the analysis of the full-length exposures, lists the main X-ray parameters, while further multiwavelength parameters and data products (X-ray images and optical/IR thumbnails) are available at the Milan XMM-LSS database site referenced above. It supersedes the first XMM-LSS version (Pierre et al. 2007, available at the HEASARC as the XMMLSS table). Analogously to Paper I, only sources with an off-axis angle < 13 arcmin were processed by the authors' X-ray data processing pipeline software, XAMIN. The catalog includes all the extended sources classified in the customary C1 and C2 classes (see Section 3.6 of Paper II) plus all point-like sources with a point source detection likelihood (DET_LH) greater than 15 (so-called non-spurious sources). This table was created by the HEASARC in February 2013 based on the <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/MNRAS/429/1652">CDS catalog J/MNRAS/429/1652</a> file 2xlssd.dat. This is a service provided by NASA HEASARC .
XMM-Newton Large-Scale Structure Uniform 10-ksec Exposure X-Ray Source Catalog
This table contains some of the X-ray results from the final release of the multiwavelength XMM-Large Scale Structure (LSS) data set, covering the full survey area of 11.1 deg<sup>2</sup>. The 124 XMM-Newton observations used in the complete XMM-LSS are described in Section 2 and Table 1 of the primary reference paper (Chiappetti et al. 2013, hereafter Paper II). The X-ray data were processed with the latest XMM-LSS XAMIN pipeline version. The catalogs in Paper II supersede the catalog from the first paper in this series (Paper I: Pierre et al. 2007, MNRAS, 382, 279, available at the HEASARC as the XMMLSS table) pertaining to the initial 5 deg<sup>2</sup>. The authors provide X-ray source lists in the customary soft and hard energy bands (0.5-2 keV and 2-10 keV, respectively) for a total of 5572 objects in the catalog limited to 10 ks exposures presented in this table, and a total of 6721 objects in the deep full-exposure 2XLSSd catalog (available at the HEASARC as the XMMLSSDEEP table), above a detection likelihood of 15 in at least one band. At the XMMLSS web site which they maintain (<a href="http://cosmosdb.iasf-milano.inaf.it/XMM-LSS/">http://cosmosdb.iasf-milano.inaf.it/XMM-LSS/</a>), the authors also provide a multiwavelength catalog, cross-correlating their list of X-ray sources with infrared, near-infrared, optical and ultraviolet catalogs. Customary data products, such as X-ray FITS images and thumbnail images from the Canada-France-Hawaii Telescope Legacy Survey and the Spitzer Wide-Area Infrared Extragalactic Survey, are made available there, together with their data base in Milan, which can be queried interactively. In this table, the authors provide the source list for the full area (11.1 square degrees) of the XMM-LSS, with a total of 5572 point-like or extended sources above a detection likelihood of 15 in either the 0.5-2 or 2-10 keV bands. This table, the "standard" 2XLSS catalog containing the results of the analysis of the survey area using uniform 10-ksec exposures for all pointings longer than 10 ksec, lists the main X-ray parameters, while further multiwavelength parameters and data products (X-ray images and optical/IR thumbnails) are available at the Milan XMM-LSS database site referenced above. It supersedes the first XMM-LSS version (Pierre et al. 2007, available at the HEASARC as the XMMLSS table). Analogously to Paper I, only sources with an off-axis angle < 13 arcmin were processed by the authors' X-ray data processing pipeline software, XAMIN. The catalog includes all the extended sources classified in the customary C1 and C2 classes (see Section 3.6 of Paper II) plus all point-like sources with a point source detection likelihood (DET_LH) greater than 15 (so-called non-spurious sources). This table was created by the HEASARC in February 2013 based on the <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/MNRAS/429/1652">CDS catalog J/MNRAS/429/1652</a> file 2xlss.dat. This is a service provided by NASA HEASARC .
XMM-Newton Large-Scale Structure X-Ray Source Catalog
The XMM-Newton Large-Scale Structure (XMM-LSS) X-Ray Source Catalog contains the source list for the first 5.5 surveyed square degrees of the XMM-LSS, with a total of 3385 point-like or extended sources above a detection likelihood of 15 in either 0.5 - 2 keV or 2 - 10 keV bands. The agreement with deep log N- log S is excellent. The main parameters considered are position, count rate, source extent with associated likelihood values. A set of additional quantities such as astrometric corrections and fluxes are further calculated while errors on the position and count rate are deduced from simulations. This table contains the main parameters, while further parameters and data products (X-ray images and optical thumbnails) are available at the Milan XMM-LSS database site: <a href="http://cosmos.iasf-milano.inaf.it/~lssadmin/Website/LSS/Query">http://cosmos.iasf-milano.inaf.it/~lssadmin/Website/LSS/Query</a> This table was created by the HEASARC in February 2008 based on the <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/MNRAS/382/279">CDS Catalog J/MNRAS/382/279</a> file xlss.dat. This is a service provided by NASA HEASARC .
XMM-Newton Large-Scale Structure Optical Counterparts and Redshifts
The XMM-Large Scale Structure (XMM-LSS) survey, covering an area of 11.1 square degrees, contains more than 6,000 X-ray point-like sources detected with the XMM-Newton Observatory to a flux of 3 x 10<sup>-15</sup> erg/s/cm<sup>2</sup> in the 0.5-2.0 keV band. The vast majority of these sources have optical (CFHTLS: Canada France Hawaii Telescope Legacy Survey), infrared (SWIRE: Spitzer Wide-area InfraRed Extragalactic legacy survey) InfraRed Array Camera (IRAC) and Multiband Imaging Photometer for Spitzer (MIPS), near-infrared (UKIDSS: UKIRT Infrared Deep Sky Survey) and/or ultraviolet (GALEX: Galaxy Evolution Explorer) counterparts. The authors wished to investigate the environmental properties of the different types of the XMM-LSS X-ray sources by defining their environment using the i'-band CFHTLS W1 catalog of optical galaxies to a magnitude limit of 23.5 magnitudes. They have classified 4,435 X-ray selected sources on the basis of their spectra, spectral energy distributions (SEDs), and X-ray luminosities, and estimated their photometric redshifts, which have a 4-11 band photometry with an accuracy of sigma[Delta<sub>z</sub>/(1+z<sub>sp</sub>)] = 0.076, with 22.6% outliers for i' < 26 mag. The authors estimated the local overdensities of 777 X-ray sources that have spectro-z or photo-z calculated by using more than seven bands (accuracy of sigma[(Delta<sub>z</sub>/(1+z<sub>sp</sub>)] = 0.061, with 13.8% outliers) within the volume-limited region defined by 0.1 <= z <= 0.85 and -23.5 < M_i'_ < -20. Although X-ray sources may be found in variety of environments, a high fraction (~55-60%), as verified by comparing with the random expectations, reside in overdense regions. The galaxy overdensities within which X-ray sources reside show a positive recent redshift evolution (at least for the range studied; z <~ 0.85). The authors also find that X-ray selected galaxies, when compared to AGN, inhabit significantly higher galaxy overdensities, although their spatial extent appear to be smaller than that of AGN. Hard AGN (harness ratios HR >= -0.2) are located in more overdense regions than soft AGN (HR < -0.2), which is clearly seen in both redshift ranges, although it appears to be stronger in the higher redshift range (0.55 < z < 0.85). Furthermore, the galaxy overdensities (with delta > 1.5, where delta is defined in equation (3) of the reference paper) within which soft AGN are embedded appear to evolve more rapidly compared to the corresponding overdensities around hard AGN. This table contains the spectroscopic and/or photometric redshifts for 4,206 X-ray selected sources in the XMM-LSS field which have optical counterparts and have been classified by the authors. This table was created by the HEASARC in September 2013 based on <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/557/A81">CDS Catalog J/A+A/557/A81</a> file table2.dat This is a service provided by NASA HEASARC .
Developing Large-Scale Bayesian Networks by Composition
In this paper, we investigate the use of Bayesian networks to construct large-scale diagnostic systems. In particular, we consider the development of large-scale Bayesian networks by composition. This compositional approach reflects how (often redundant) subsystems are architected to form systems such as electrical power systems. We develop high-level specifications, Bayesian networks, clique trees, and arithmetic circuits representing 24 different electrical power systems. The largest among these 24 Bayesian networks contains over 1,000 random variables. Another BN represents the real-world electrical power system ADAPT, which is representative of electrical power systems deployed in aerospace vehicles. In addition to demonstrating the scalability of the compositional approach, we briefly report on experimental results from the diagnostic competition DXC, where the ProADAPT team, using techniques discussed here, obtained the highest scores in both Tier 1 (among 9 international competitors) and Tier 2 (among 6 international competitors) of the industrial track. While we consider diagnosis of power systems specically, we believe this work is relevant to other system health management problems, in particular in dependable systems such as aircraft and spacecraft. **Reference:** O. J. Mengshoel, S. Poll, and T. Kurtoglu. "Developing Large-Scale Bayesian Networks by Composition: Fault Diagnosis of Electrical Power Systems in Aircraft and Spacecraft." Proc. of the IJCAI-09 Workshop on Self-* and Autonomous Systems (SAS): Reasoning and Integration Challenges, 2009 **BibTex Reference:** @inproceedings{mengshoel09developing, title = {Developing Large-Scale {Bayesian} Networks by Composition: Fault Diagnosis of Electrical Power Systems in Aircraft and Spacecraft}, author = {Mengshoel, O. J. and Poll, S. and Kurtoglu, T.}, booktitle = {Proc. of the IJCAI-09 Workshop on Self-$\star$ and Autonomous Systems (SAS): Reasoning and Integration Challenges}, year={2009} }
XMM-Newton Large-Scale Structure Optical Identifications Catalog
This table contains optical spectroscopic identifications of X-ray sources in ~3 square degrees of the XMM-Large Scale Structure survey (XMM-LSS), also covered by the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS), which were obtained with the AAOmega instrument at the 3.9-m Anglo-Australian Telescope during the nights of 2006 September 25-27 and 2007 September 11-13. In a flux-limited sample of 829 point-like sources in the optical band with g' <= 22 magnitudes and the 0.5-2 keV flux (f_0.5-2keV) > 10<sup>-15</sup> erg/cm<sup>2</sup>/s, the authors observed 693 objects and obtained reliable spectroscopic identification for 487 sources, approximately 59% of the overall sample. The authors therefore have increased the number of identifications in this field by a factor close to 5. Galactic stellar sources represent about 15% of the total (74/487). About 54% (265/487) are broad-line active galactic nuclei (AGN) spanning redshifts between 0.15 and 3.87 with a median value of 1.68. The optical-to-X-ray spectral index (alpha_ox) of the broad-line AGN is 1.47 +/- 0.03, typical of optically selected type I quasars, and is found to correlate with the rest-frame X-ray and optical monochromatic luminosities at 2 keV and 2500 Angstroms, respectively. Consistent with previous studies, the authors find that alpha_ox is not correlated with z. In addition, 32 and 116 X-ray sources are, respectively, absorption- and emission-line galaxies at z < 0.76. From a line ratio diagnostic diagram, it is found that in about 50% of these emission-line galaxies, the emission lines are powered significantly by the AGN. 30 of the XMM sources are detected at one or more radio frequencies (see Table 5 in the published paper). In addition, 24 sources (listed in table 4 of the published paper) have ambiguous identification: in eight cases, two XMM sources have a single optical source within 6 arcsec of each of them, whereas two and 14 XMM sources have, respectively, three and two possible optical sources within 6 arcsec of each of them. Spectra of multiple possible counterparts were obtained in such ambiguous cases. This HEASARC table contains the 487 sources which were reliably spectroscopically identified. This table was created by the HEASARC in July 2010 based on the <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/MNRAS/401/294">CDS Catalog J/MNRAS/401/294</a> file table2.dat. This is a service provided by NASA HEASARC .
Large-scale Chemical Screen Identifies a Geroprotective Role of Gallic Acid in Premature Aging [RNA-seq]
GEO Series GSE175733. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Large-scale analysis of the integration of enhancer-enhancer signals by promoters
GEO Series GSE240586. Mus musculus. 73 samples. Type: Other.
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.