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363 results for “stack”
Old Place with smoke stacks
they still use this old building Source: Objaverse 1.0 / Sketchfab
Air Stacking vs Glossopharyngeal Breathing in Neuromuscular Diseases
ClinicalTrials.gov study NCT02500030. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Effects of the Breath Stacking Technic in Healthy Individuals
ClinicalTrials.gov study NCT03042403. IPD Sharing: NO. Countries: 0. Publications: 0.
XMM-Newton Serendipitous Source Catalog from Stacked Observations (4XMM-DR14s)
The stacked catalog 4XMM-DR14s has been compiled from 1,751 groups, comprising 10,336 overlapping XMM-Newton observations. They were selected from the public observations taken between 2000 February 1 and 2023 November 16 which overlap by at least one arcminute in radius. It contains 427,524 unique sources, 329,972 of them multiply observed, with positions and source parameters like fluxes in the XMM-Newton standard energy bands, hardness ratios, quality estimate, and information on inter-observation variability. The parameters are directly derived from the simultaneous fit, and, wherever applicable, additionally calculated for each contributing observation. Exposures that do not qualify for source detection, for example because of a high background level, are used for subsequent PSF photometry: source fluxes and flux-related parameters are derived for them at the source position and extent found during source detection. 4XMM-DR14s lists 1,807,316 individual flux measurements (visits) of the 427,524 unique sources. Stacked source detection aims at exploring the multiply observed sky regions and exploit their survey potential, in particular to study the long-term behavior of X-ray emitting sources. It thus makes use of the long(er) effective exposure time per sky area and offers the opportunity to investigate flux variability directly through the source detection process. The main catalog properties are summarized in the table below, the data processing and the stacked source detection are described in the processing summary. To ensure detection quality, background levels are assessed, and event-based astrometric corrections are applied before running source detection. After source detections, problematic detections and detection parameters are flagged by an automated algorithm. All detections are screened visually, and obviously spurious sources are flagged manually. This table contains the parameters of the 427,524 unique sources (provided in this table) derived simultaneously from all of the observations (provided in the associated table of observations referred to as <a href="/W3Browse/xmm-newton/xmmstackob.html">XMMSTACKOB</a>) at the fitted position. The authors referred to the EPIC instruments with the following designations: PN, M1 (MOS1), and M2 (MOS2). The energy bands used in the 4XMM processing were the same as for the 3XMM catalog. The following are the basic energy bands: <pre> 1: 0.2-0.5 keV 2: 0.5-1.0 keV 3: 1.0-2.0 keV 4: 2.0-4.5 keV 5: 4.5-12.0 keV </pre> All-EPIC values cover the energy range 0.2-12.0 keV. The full catalog documentation can be found at <a href="https://xmmssc.aip.de/">https://xmmssc.aip.de/</a>. The following table gives an overview of the statistics of this catalog in comparison with the previous stacked catalogs, 4XMM-DR14s through 3XMM-DR7s: <pre> 4XMM-DR14s 4XMM-DR13s 4XMM-DR12s 4XMM-DR11s 4XMM-DR10s 4XMM-DR9s 3XMM-DR7s Number of stacks 1,751 1,688 1,620 1,475 1,396 1,329 434 Number of observations 10,336 9,796 9,355 8,292 7,803 6,604 789 Time span first to last observation Feb 01, 2000 Feb 01, 2000 Feb 01, 2000 Feb 03, 2000 Feb 03, 2000 Feb 03, 2000 Feb 20, 2000 -- Nov 16,2023 -- Nov 29, 2022 -- Dec 04, 2021 -- Dec 17, 2020 -- Dec 14, 2019 -- Nov 13, 2018 -- Apr 02, 2016 Approximate sky coverage (sq. deg.) 685 650 625 560 540 485 150 Approximate multiply observed sky area(sq. deg) 440 420 400 350 335 300 100 Total number of sources 427,524 401,596 386,043 358,809 335,812 288,191 71,951 Sources with several contributing observations 329,972 310,478 298,626 275,440 256,213 218,283 57,665 Multiply observed sources with flag 0 or 1 276,058 262,842 252,445 233,542 216,999 191,497 55,450 Multiply observed with a total detection 266,129 251,555 241,880 224,178 208,921 181,132 49,935 likelihood of at least six Multiply observed with a total detection 226,219 213,812 205,394 189,556 176,680 153,487 42,077 likelihood of at least ten Total measurements 1,807,316 1,683,264 1,592,263 1,421,966 1,322,299 1,033,264 216,393 Maximum exposures per source 173 170 155 140 140 103 69 Maximum observations per source 77 77 70 65 65 40 23 Maximum on-time per source 2.8 Ms 2.8 Ms 2.8 Ms 2.8 Ms 2.8 Ms 1.9 Ms 1.3 Ms </pre> This database table was last updated by the HEASARC in July 2024. It contains the 4XMM-DR14s source catalog, released by ESA on 2024-07-09 and obtained from the XMM-Newton Survey Science Center Consortium at <a href="https://xmmssc.aip.de/cms/catalogues/4xmm-dr14s/">https://xmmssc.aip.de/cms/catalogues/4xmm-dr14s/</a>. It is <a href="https://xmmssc.aip.de/data/xmmstack_v3.2_4xmmdr14s.fits.gz">also available as a gzipped FITS file</a>. This is a service provided by NASA HEASARC .
XMM-Newton Serendipitous Source Catalog from Stacked Observations: Obs. Data
The stacked catalog 4XMM-DR14s (<a href="/W3Browse/xmm-newton/xmmstack.html">XMMSTACK</a>) has been compiled from 1,751 groups, comprising 10,336 overlapping XMM-Newton observations. They were selected from the public observations taken between 2000 February 1 and 2023 November 16 which overlap by at least one arcminute in radius. It contains 427,524 unique sources, 329,972 of them multiply observed, with positions and source parameters like fluxes in the XMM-Newton standard energy bands, hardness ratios, quality estimate, and information on inter-observation variability. The parameters are directly derived from the simultaneous fit, and, wherever applicable, additionally calculated for each contributing observation. Exposures that do not qualify for source detection, for example because of a high background level, are used for subsequent PSF photometry: source fluxes and flux-related parameters are derived for them at the source position and extent found during source detection. 4XMM-DR14s lists 1,807,316 individual flux measurements of the 427,524 unique sources. Stacked source detection aims at exploring the multiply observed sky regions and exploit their survey potential, in particular to study the long-term behavior of X-ray emitting sources. It thus makes use of the long(er) effective exposure time per sky area and offers the opportunity to investigate flux variability directly through the source detection process. The main catalog properties are summarized in the table below, the data processing and the stacked source detection are described in the processing summary. To ensure detection quality, background levels are assessed, and event-based astrometric corrections are applied before running source detection. After source detections, problematic detections and detection parameters are flagged by an automated algorithm. All detections are screened visually, and obviously spurious sources are flagged manually. This table contains the source parameters from the individual observations in the stacked catalog, <a href="/W3Browse/xmm-newton/xmmstack.html">4XMM-DR14s</a>. The parameters are derived from the simultaneous source-detection fit to all stacked observations at the common source position for each observation that covers a source, amounting to 1,807,316 measurements. The mean source parameters from stacked source detection are provided in the associated main table <a href="/W3Browse/xmm-newton/xmmstack.html">4XMM-DR14s</a>, referred to as XMMSTACK. The authors referred to the EPIC instruments with the following designations: PN, M1 (MOS1), and M2 (MOS2). The energy bands used in the 4XMM processing were the same as for the 3XMM catalog. The following are the basic energy bands: <pre> 1: 0.2-0.5 keV 2: 0.5-1.0 keV 3: 1.0-2.0 keV 4: 2.0-4.5 keV 5: 4.5-12.0 keV </pre> All-EPIC values cover the energy range 0.2-12.0 keV. The full catalog documentation can be found at <a href="https://xmmssc.aip.de/">https://xmmssc.aip.de/</a>. The following table gives an overview of the statistics of this catalog in comparison with the previous stacked catalogs, 4XMM-DR14s through 3XMM-DR7s: <pre> 4XMM-DR14s 4XMM-DR13s 4XMM-DR12s 4XMM-DR11s 4XMM-DR10s 4XMM-DR9s 3XMM-DR7s Number of stacks 1,751 1,688 1,620 1,475 1,396 1,329 434 Number of observations 10,336 9,796 9,355 8,292 7,803 6,604 789 Time span first to last observation Feb 01, 2000 Feb 01, 2000 Feb 01, 2000 Feb 03, 2000 Feb 03, 2000 Feb 03, 2000 Feb 20, 2000 -- Nov 16,2023 -- Nov 29, 2022 -- Dec 04, 2021 -- Dec 17, 2020 -- Dec 14, 2019 -- Nov 13, 2018 -- Apr 02, 2016 Approximate sky coverage (sq. deg.) 685 650 625 560 540 485 150 Approximate multiply observed sky area(sq. deg) 440 420 400 350 335 300 100 Total number of sources 427,524 401,596 386,043 358,809 335,812 288,191 71,951 Sources with several contributing observations 329,972 310,478 298,626 275,440 256,213 218,283 57,665 Multiply observed sources with flag 0 or 1 276,058 262,842 252,445 233,542 216,999 191,497 55,450 Multiply observed with a total detection 266,129 251,555 241,880 224,178 208,921 181,132 49,935 likelihood of at least six Multiply observed with a total detection 226,219 213,812 205,394 189,556 176,680 153,487 42,077 likelihood of at least ten Total measurements 1,807,316 1,683,264 1,592,263 1,421,966 1,322,299 1,033,264 216,393 Maximum exposures per source 173 170 155 140 140 103 69 Maximum observations per source 77 77 70 65 65 40 23 Maximum on-time per source 2.8 Ms 2.8 Ms 2.8 Ms 2.8 Ms 2.8 Ms 1.9 Ms 1.3 Ms </pre> This database table was last updated by the HEASARC in July 2024. It contains the 4XMM-DR14s observations catalog, released by ESA on 2024-07-09 and obtained from the XMM-Newton Survey Science Center Consortium at <a href="https://xmmssc.aip.de/cms/catalogues/4xmm-dr14s/">https://xmmssc.aip.de/cms/catalogues/4xmm-dr14s/</a>. It is <a href="https://xmmssc.aip.de/data/xmmstack_v3.2_4xmmdr
The nucleoskeleton protein NuMA maintains local chromatin architecture partially through promoting linker histone H1’ binding to chromatin and nucleosome stacking [RNA-Seq]
GEO Series GSE227707. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Loop Stacking Attenuates Chromatin Boundaries in TCR Loci During Thymocyte Development
GEO Series GSE265888. Mus musculus. 92 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Other; Expression profiling by high throughput sequencing.
Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub
<p>This dataset was collected from GitHub and Stack Exchange (including Stack Overflow, Quantum Computing Stack Exchange, and Computer Science Stack Exchange) to conduct an empirical study on architecture decisions in quantum software systems. We provide below a brief description of each file:</p><p>1. Dataset (GitHub).xlsx</p><p>contains selected quantum software projects from GitHub with project names, issue IDs, and issue URLs and the data extracted from the GitHub issues that are related to architecture decisions in quantum software development.</p><p>2. Dataset (SO).xlsx</p><p>contains the IDs and URLs of Stack Overflow (SO) labeled posts and the extracted data from the Stack Overflow posts that are related to architecture decisions in quantum software development.</p><p>3. Dataset (QC).xlsx</p><p>contains the IDs and URLs of Quantum Computing (QC) Stack Exchange labeled posts and the extracted data from the Quantum Computing Stack Exchange posts that are related to architecture decisions in quantum software development.</p><p>4. Dataset (CS).xlsx</p><p>contains the IDs and URLs of Computer Science (CS) Stack Exchange labeled posts and the extracted data from the Computer Science Stack Exchange posts that are related to architecture decisions in quantum software development.</p><p>5. Extracted Data (GitHub+SO+QC+CS).xlsx</p><p>provides the final results of data extracted from the related GitHub issues, SO posts, QC posts, and CS posts.</p>
Supplementary materials for paper "Stack Trace Deduplication: Faster, More Accurately, and in More Realistic Scenarios"
<p>Update: this was an anonymized version for the double-blind submission and it is no longer actual.</p> <p>This is a replication package for the paper "Stack Trace Deduplication: Faster, More Accurately, and in More Realistic Scenarios". </p> <p>It presents the code of our approach and an instruction for running the experiments.</p> <p>Since we cannot provide the newly collected industrial dataset due to anonymity restrictions, instead, we append the existing open-source NetBeans dataset in the same format for clarity (it can be found in the `NetBeans` directory, its format is described in the README). Upon acceptance, we will release the new dataset to the research community.</p> <p>Please find all the istructions in the README.</p>
Dat4API.ABSA: A Dataset of API Reviews from Stack Overflow for Aspect-Based Sentiment Analysis
<p>This is the dataset created from Stack Overflow discussions with manually labeled<br> Aspect-API-Sentiment information, used in the paper 'Dat4API.ABSA: A Dataset of API Reviews from Stack Overflow for Aspect-Based Sentiment Analysis'.</p>
The nucleoskeleton protein NuMA maintains local chromatin architecture partially through promoting linker histone H1’ binding to chromatin and nucleosome stacking [Cut & Tag]
GEO Series GSE227704. Homo sapiens. 7 samples. Type: Other.
The nucleoskeleton protein NuMA maintains local chromatin architecture partially through promoting linker histone H1’ binding to chromatin and nucleosome stacking [Hi-C]
GEO Series GSE227705. Homo sapiens. 4 samples. Type: Other.
Knowledge Curation in a Developer Community: A Study of Stack Overflow and Mailing Lists
<p>This file was closed as a result of some issues with the data. Please visit the following link to have access to the updated version of the information. </p> <p>https://zenodo.org/record/47484</p> <p>This PostgreSQL dump file contains the data from Stack Overflow r-tag and the R-help mailing list. The data is framed between 2008 and 2013. It is part of "Knowledge Curation in a Developer Community: A Study of Stack Overflow and Mailing Lists" by Carlos Gómez Teshima (2015 MSc. Thesis), and "How the R Community Creates and Curates Knowledge" by Alexey Zagalsky, Carlos Gómez Teshima, Daniel M. German, Margaret-Anne Storey, Germán Poo-Caamaño (MSR 2016 paper).</p>
The stacked data in the Wudalianchi volcanic field
<p>The stacked data from ambient noise cross-correlations in the Wudalianchi volcanic field</p>
The stacked data in the Wudalianchi volcanic field
Open the record for dataset details and reuse information.
Research Artefact: A Large-Scale Study of React-Related Questions in Stack Overflow: Frequency, Popularity, and Types
<p>This is a research artefact for the paper: A Large-Scale Study of React-Related Questions in Stack Overflow: Frequency, Popularity, and Types. This artefact is a repository consisting of the collected dataset including 447,542 React-related SO question posts and 384 representative samples that were obtained randomly. This artefact aims to enable researchers to replicate our dataset of the paper and reuse the dataset for further research.</p>
Research Artefact: A Large-Scale Study of React-Related Questions in Stack Overflow: Frequency, Popularity, and Types
<p>This is a research artefact for the paper: A Large-Scale Study of React-Related Questions in Stack Overflow: Frequency, Popularity, and Types. This artefact is a repository consisting of the collected dataset including 447,542 React-related SO question posts and 384 representative samples that were obtained randomly. This artefact aims to enable researchers to replicate our dataset of the paper and reuse the dataset for further research.</p>
Dataset of AI-generated code and human-written code created by Stack Overflow questions
Open the record for dataset details and reuse information.
SOFC stack tests under representative fuels
<p>Three short stacks from SOLIDpower/SolydEra have been tested within Task 3.4. The main results are<br> presented and discussed in this section. There are similarities between the different tests but as the third test<br> was the most complete, the explanations given in the analysis of the third test give also the most complete<br> description, including of observations mentioned for the first 2 stacks.</p>
The nucleoskeleton protein NuMA maintains local chromatin architecture partially through promoting linker histone H1’ binding to chromatin and nucleosome stacking
GEO Series GSE227941. Homo sapiens. 21 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.