Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
363
datasets available to search
ShareScore release 0.9.0
Dataset results
363 results for “stack”
Confocal stacks of Cii_PC2_hM4D(Gi)_mCherry transgenic Ciona Larvae
<p>Data related to Supplementary Figure 5 of the manuscript titled: <strong>Polymodal sensory perception drives robust attachment and metamorphosis of a pre-vertebrate zooplanktonic larva. </strong></p>
Hydrogen-Bonded Organic Frameworks Based on Endless-Stacked Amides for Iodine Capture and Detection
<p>Raw data of </p>
5000 Czech Crown Money Stack
A stack of 5K Czech crown bank notes. Made with Blender. Source: Objaverse 1.0 / Sketchfab
ONE YUAN STACK
Stack of Chinese 1 Yuan bills Source: Objaverse 1.0 / Sketchfab
Dataset for the article entitled: "Revealing the strengthening contribution of stacking faults, dislocations and grain boundaries in severely deformed LPBF AlSi10Mg alloy"
<p>Dataset includes:</p> <p>EBSD data:</p> <p>AlSi10Mg_HT320.ang - Heat treated sample</p> <p>HT320E100.ang - Heat treated ECAP processed sample</p> <p>TKD data:</p> <p>HT320E100.ang - Heat treated ECAP processed sample</p> <p>XRD data:</p> <p>AlSi10Mg_HT320.ASC - Heat treated sample</p> <p>AlSi10Mg_HT320_ECAP100.ASC - Heat treated ECAP processed sample</p>
Exploring the Black Box: Analyzing Explainable AI Challenges and Best Practices Through Stack Exchange Discussions
Open the record for dataset details and reuse information.
Ar+ and N+ ion irradiated Co/Pt and Pt/Co bilayered stacks
<p><span>This dataset comprises X-ray diffraction (XRD), secondary ion mass spectrometry (SIMS), and vibrating sample magnetometry (VSM) data obtained from the study of thin-film structures. The films are composed of cobalt (Co) and platinum (Pt) layers with configurations Co(10 nm)/Pt(10 nm)/substrate and Pt(10 nm)/Co(10 nm)/substrate. Both types of films were fabricated by magnetron sputtering deposition </span><span>at room temperature onto Si(001)/SiO<sub>2</sub></span><span> substrates. </span></p> <p><span>The as-deposited samples were subjected to N<sup>+</sup> and Ar<sup>+</sup> ion irradiation using a BALZERS MPB 202 ion implanter system with the ion energy of 110 keV and ion dose 1 × 10<sup>15</sup> ions/cm<sup>2</sup>. The irradiated stacks were post-annealed in vacuum of 10<sup>−6</sup> mbar at 550°</span><span>С</span><span> for 30 min and investigated along with non-irradiated samples after same single-stage thermal treatment. </span></p> <p><span>The XRD data, obtained using a Rigaku Ultima IV diffractometer </span><span>(CuK</span><span>α</span><span> radiation)</span><span>, provides information on the crystal structure of the films. SIMS data, acquired with an Ion ToF IV device, reveals depth profiles and elemental composition, while the magnetic properties of the films were characterized using a vibrating sample magnetometer (VSM).</span></p>
Replication Package for "Cracks in The Stack: Hidden Vulnerabilities and Licensing Risks in LLM Pre-Training Datasets"
<p>Replication Package for "Cracks in The Stack: Hidden Vulnerabilities and Licensing Risks in LLM Pre-Training Datasets"<br><br>Includes datasets, and bash scripts.</p>
Aberrated Bead Stack
<p>Bead stack taken on lower path of a 4Pi without deformable mirror corrections. DCIMG examples, not for other purposes.</p>
A Network-Based Phase-Gradient Stacking Method for Resolving Long-wavelength deformation from low-coherence SAR interferograms
<p><span><span><strong>This dataset includes the key results, primary </strong></span></span><strong>InSAR and GNS observatons </strong><strong> in our study. </strong></p>
Original CT image stacks of five fossil petrosal bones from Siberia, 3D PDF files of reconstructed endocasts, blood vessels and innervation patterns, 3D PDF instruction file, STL files of the petrosals
<p>Five partially preserved mammaliaform petrosals recovered from Middle Jurassic sediments of the Berezovsk coal mine (Krasnoyarsk Krai, Russia) show similarities to other early mammaliaforms like the morganucodontan <i>Morganucodon</i> and the docodontan <i>Haldanodon</i> in having an inflated promontorium, and a curved and apically inflated cochlear canal. But they are distinct from dryolestoid and derived mammalian petrosals by the weak coiling of the cochlear duct and the presence of a perilymphatic foramen with an open perilymphatic sulcus. The two larger and robust specimens exhibit striking similarities to docodontan petrosals. Inside the bone an intricate circumpromontorial venous plexus was discovered as recently described for the docodontan <i>Borealestes</i>, confirming this structure is consistently present in basal mammaliaforms. The three smaller and slender petrosals likely belong to haramiyidans and are unique in showing a septum-like structure medially along the cochlear nerve entrance. The protruding perforated bony bar that is preserved in two of the three is interpreted here to be a remnant of a bony septum with multiple foramina for cochlear nerve fibers, representing an autapomorphic feature of Haramiyida. This newly described passageway for nerve fibers shows that the formation of the osteological structure surrounding the nervous pathways of the cochlea is more plastic among the most basal mammaliaforms than previously thought.</p>
How solution snippets are presented in answers posted on Stack Overflow and how they could be potentially reused.
<p>Software engineering Q&A websites (e.g., Stack Overflow), harness the collective expertise of users to address technical queries. Over time, these platforms evolve into valuable repositories of software engineering knowledge. Such repositories serve as essential resources for developers looking for <abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1">solutions</abbr></abbr></abbr> to common programming <abbr title="Sentiment effect: -2">problems</abbr>. In Stack Overflow, developers may approach answering questions in various ways. <abbr title="Sentiment effect: 2">Gaining</abbr> insight into how developers formulate their answers on Stack Overflow can enhance knowledge sharing and streamline the process of finding <abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1">solutions</abbr></abbr></abbr>. Furthermore, such insights could also inform improvements in Generative Artificial Intelligence (GenAI) tools to <abbr title="Sentiment effect: 2">better</abbr> align generated source code for comprehension and understandability, as AI-generated answers are known to include irrelevant information and hallucinations. In this study, we seek to deepen the understanding of how <abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1">solutions</abbr></abbr></abbr> are presented on Stack Overflow. We conducted an empirical study that investigates programming questions that are answered with a <abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1">Solution</abbr></abbr></abbr></abbr></abbr> Snippet to understand how a <abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1">Solution</abbr></abbr></abbr></abbr></abbr> Snippet is presented, and the ways how it should be adapted when it is reused. Our study resulted in two categorizations: 1) eight categories of how <abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1">Solution</abbr></abbr></abbr></abbr></abbr> Snippets are presented on Stack Overflow answers and 2) five categories of how <abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1">Solution</abbr></abbr></abbr></abbr></abbr> Snippets could be adapted for reuse. Then, we analyzed these categorizations and discussed the implications. We anticipate that Stack Overflow will remain a valuable resource for the foreseeable future, and the insights revealed in our paper lay the groundwork for <abbr title="Sentiment effect: 2">improving</abbr> program comprehension of <abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1"><abbr title="Sentiment effect: 1">Solution</abbr></abbr></abbr></abbr></abbr> Snippets on Stack Overflow and GenAI tools.</p>
Examining the tech stacks of Czech and Slovak untrustworthy websites - Data
<p>Supporting data for the "Examining the tech stacks of Czech and Slovak untrustworthy websites" study.</p>
Supplemental materials for the study of Stack Overflow
<p>Supplemental materials for the study of Stack Overflow.</p> <p>-Source bib files of the studied papers</p> <p>-Abbreviations and the full names of the selected venues</p> <p>-Correspondences between the authors' abbreviations and full names</p> <p>-Correspondences between the affiliations' abbreviations and full names</p>
Pst DC3000 hrcC- Z-stack
<p>Confocal microscopy Z-stack time course of <em>S. polyrhiza</em> frond 5 dpi with <em>Pst</em> DC3000 hrcC<sup>-</sup>. Images start at frond surface. Images were taken with a 63x objective, green coloring represents <em>Pst</em> DC3000 hrcC<sup>-</sup> stained with SytoBC, in addition the guard cell wall appears as a green ellipse due to autofluorescence, red indicates chlorophyll fluorescence. </p>
Dataset for Stack overflow Manual Results about challenges in developing Spark applications
<p>This dataset contains Stack Overflow manual study results for the paper "An Empirical Study on the Challenges that Developers Encounter When Developing Apache Spark Applications".</p> <ul> <li>the <em>data</em> folder contains the <em>Stackoverflow Manual Results.csv </em>file that is the manual analysis result for the Stack Overflow posts. The CSV file contains information on the classification of the data, the reasons and the number of views, etc. </li> </ul> <p> </p> <ul> <li>the <em>scripts</em> folder contains the python and SQL files that are used for data collection and data analysis. <ul> <li><em>query_data.sql</em> is used to collect data from the Stack Exchange website.</li> <li><em>sample.py</em> is used to sample data for the manual analysis in the paper.</li> <li><em>common_issue.py</em> is used to study the percentage of common issues in rq1. </li> <li><em>popularity.py </em>is used to calculate the average of normalized view counts in rq2.</li> <li><em>popularity_difficulty.py</em> is used to calculate the average of raw view counts and the median hours to receive an answer in rq2.</li> <li><em>root_cuase.py</em> is used to study the percentage of root causes in rq3. </li> </ul> </li> </ul>
An Empirical Study of Package Management Issues via Stack Overflow
<p>The package manager (PM) is crucial to most technology stacks, acting as a broker to ensure that a verified dependency package is correctly installed, configured, or removed from an application. Diversity in technology stacks has led to dozens of PMs with various features. While our recent study indicates that package management features of PM are related to end-user experiences, it is unclear what those issues are and what information is required to resolve them. In this paper, we have investigated PM issues faced by end-users through an empirical study of content on Stack Overflow (SO). We carried out a qualitative analysis of 1,131 questions and their accepted answer posts for three popular PMs (i.e., Maven, npm, and NuGet ) to identify issue types, underlying causes, and their resolutions. Our results confirmed that end-users struggle with PM tool usage (approximately 64-72%). We observed that most issues are raised by end-users due to a lack of instructions and errors messages from PM tools. In terms of issue resolution, we observed that external link sharing is the most common practice to resolve PM issues. Additionally, we found that links pointing to useful resources (i.e., official documentation websites, tutorials, etc.) are the most frequently shared, indicating the potential for tool support and the ability to provide relevant information.</p>
Supplementary material 2 from: Mertens JEJ, Van Roie M, Merckx J, Dekoninck W (2017) The use of low cost compact cameras with focus stacking functionality in entomological digitization projects. ZooKeys 712: 141-154. https://doi.org/10.3897/zookeys.712.20505
Figure S2 : Explanation note: Comparison of the narrow (C, F), normal (A, B, D, G) and wide (E, H) focal step size in two specimens of different 'depth' (A, C–E: Allochroma sp., 2 mm deep; B, E–H: Doryphora sp., 12 mm deep, measured from top of elytra to lowest tarsi). The narrow setting is marginally sharper in some areas; however, deeper parts of the specimen are not in focus. The wide setting produces artefacts around some of the edges, sometimes resulting in less sharp regions.
Supplementary material 1 from: Mertens JEJ, Van Roie M, Merckx J, Dekoninck W (2017) The use of low cost compact cameras with focus stacking functionality in entomological digitization projects. ZooKeys 712: 141-154. https://doi.org/10.3897/zookeys.712.20505
Figure S1 : Explanation note: Lightbox setup, the camera rests on top of the cut-off bucket, its lens protruding though the hole in the middle. The specimen is usually shielded from direct light by a free-standing cylinder of tracing paper (not depicted). The LED strips on the inside are powered through a 12V adapter.
Investigating the use of Snowballing on Gray Literature Reviews: A Study on Stack Exchange
<p>Dataset and scripts for the papaer "Investigating the use of Snowballing on Gray Literature Reviews: A Study on Stack Exchange".</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.