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880 results for “Exploratory Study”
Online Appendix for "An Exploratory Study of the State of Practice of Performance Testing in Java-Based Open Source Projects"
<p>Here we collect some raw data and additional material to the paper <em>"An Exploratory Study of the State of Practice of Performance Testing in Java-Based Open Source Projects"</em>, by Philipp Leitner and Cor-Paul Bezemer.</p>
Replication package of the Paper "On the Relationships between the Initial Ecology Indicators of OSS Projects and Their Long-Term Popularity: An Exploratory Study on GitHub"
<p>The dataset is collected from GitHub API and GitHub GHTorrent dataset. A brief description of each folder is provided below:</p> <p><strong>1. "Dataset_and_Code" folder</strong></p> <p>Contains the final dataset and algorithms</p> <p><strong>2. "Test_parameters" folders </strong></p> <p>Includes datasets under different parameters and the corresponding reproduction code, which corresponds to the first experiment of RQ1</p> <p><strong>3. "Compare_baseline"folder</strong></p> <p>Includes the dataset used by our method, the dataset used by the baseline method, and the reproduction code, corresponding to the second experiment of RQ1</p> <p><strong>4. "PLS" folder</strong></p> <p>Includes the dataset used by PLS and the corresponding reproduction code, which corresponds to experiment of RQ2</p> <p><strong>5. " Indicator_Calculation " folder</strong><br>It contains the calculation methods for various metrics in the paper, as well as the corresponding key files. </p> <p><span><strong>6. " Appendix " folder</strong><br></span><span>It includes supplementary materials such as the methodology for metric calculations to address the reviewers' questions.</span> </p> <p><strong>Note</strong></p> <p>We have provided a corresponding README file in each folder to help others reproduce our results</p>
No Algorithmization without Representation: Pilot Study on Regulatory Experiments in an Exploratory Sandbox
<p>Accompanying data and scripts for the paper.</p>
Dataset of the Paper: "Decisions in Continuous Integration and Delivery: An Exploratory Study"
<p><strong>dataset.xlsx</strong></p> <p>includes the links collected from Budibase closed issues, and the classification of the decisions extracted from these issues.</p>
On Reporting Performance and Accuracy Bugs for Deep Learning Frameworks: An Exploratory Study from GitHub
<p>This repository aims to store the dataset of performance and accuracy bug reports, which belongs to <em>"On Reporting Performance and Accuracy Bugs for Deep Learning Frameworks: An Exploratory Study from GitHub"</em></p>
Replication Package for the Paper: "Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities"
<p>This is the replication package for the paper: "Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities", including the dataset and its description (README.md):</p> <ul> <li><strong>PTD-related Comments in Code Review and Data Extraction Results.xlsx</strong> is the dataset of our paper, which contains 2,030 review comments collected from the Nova project and Neutron project of OpenStack community. Among all the review comments, 163 review comments indicate PTD. For the rows of review comments that are related to PTD, we filled them with blue color as an indicator.</li> <li> <p><strong>README.md</strong></p> </li> </ul>
Figure 4 in An exploratory study of bumble bee (Bombus) phenologies and plant interactions in agricultural landscapes in central Georgia, USA
Figure 4. Captures of Bombus a-f-p group averaged by week at three sites near Athens, Georgia, USA. HF = Durham Horticulture Farm in Watkinsville, GA; WG = Woodland Gardens in Athens, GA; SV = Spring Valley EcoFarms in Athens, GA. No surveys were conducted during the week of 28 June due to a lack of available person-hours.
Figure 3 in An exploratory study of bumble bee (Bombus) phenologies and plant interactions in agricultural landscapes in central Georgia, USA
Figure 3. Bombus impatiens captures averaged by week at three sites near Athens, Georgia, USA. HF = Durham Horticulture Farm in Watkinsville, GA; WG = Woodland Gardens in Athens, GA; SV = Spring Valley EcoFarms in Athens, GA. No surveys were conducted during the weeks of 28 June or 6 September due to a lack of available person-hours, or the weeks of 16–30 August due to inclement weather and/or insufficient number of bees observed. Average captures for B. impatiens are underrepresented during the following weeks due to limited supplies: 14 June, 12 July, 2 and 9 August, 9 August, 13 September, 4 October.
Figure 1 in An exploratory study of bumble bee (Bombus) phenologies and plant interactions in agricultural landscapes in central Georgia, USA
Figure 1. Bombus bimaculatus captures averaged per week at three sites near Athens, Georgia, USA. HF = Durham Horticulture Farm in Watkinsville, GA; WG = Woodland Gardens in Athens, GA; SV = Spring Valley EcoFarms in Athens, GA. This species was not captured during the week of 21 June. No surveys were conducted during the week of 28 June due to a lack of available personhours.
Figure 6 in An exploratory study of bumble bee (Bombus) phenologies and plant interactions in agricultural landscapes in central Georgia, USA
Figure 6. Average weekly captures of Bombus bimaculatus castes across three sites in 2010 near Athens, Georgia, USA. No individuals of this species were captured during the week of 21 June. No surveys were conducted during the week of 28 June due to a lack of available person-hours.
Figure 9 in An exploratory study of bumble bee (Bombus) phenologies and plant interactions in agricultural landscapes in central Georgia, USA
Figure 9. Average captures per week of Bombus griseocollis castes across three sites in 2010 near Athens, Georgia, USA. No surveys were conducted during the week of 28 June due to a lack of available person-hours. No individuals of this species were captured during the week of 26 July.
Figure 8 in An exploratory study of bumble bee (Bombus) phenologies and plant interactions in agricultural landscapes in central Georgia, USA
Figure 8. Caste percentages of total Bombus captures across three sites near Athens, Georgia, USA, in 2010. Bb = Bombus bimaculatus, Bg = B. griseocollis and Bi = B. impatiens. Q = queen, W = worker and M = male castes. Total captures = 1956; Bb total captures = 228, Bg total captures = 529, Bi total captures = 1058.
Figure 5 in An exploratory study of bumble bee (Bombus) phenologies and plant interactions in agricultural landscapes in central Georgia, USA
Figure 5. Average weekly captures of Bombus bimaculatus (Bb), B. griseocollis (Bg), B. impatiens (Bi) and B. a-f-p group (Bafp) across three sites in 2010 near Athens, Georgia, USA. No surveys were conducted during the weeks of 28 June or 6 September due to a lack of available person-hours, or the weeks of 16–30 August due to inclement weather and/or an insufficient number of bees observed at all sites. No B. bimaculatus individuals were captured during the week of 21 June. No B. griseocollis individuals were captured during the week of 26 July. Weekly average captures for B. impatiens are underrepresented during the following weeks due to insufficient supplies: 14 June, 12 July, 2 August, 9 August, 13 September, 4 October.
Figure 7 in An exploratory study of bumble bee (Bombus) phenologies and plant interactions in agricultural landscapes in central Georgia, USA
Figure 7. Caste percentages of total captures from each Bombus species across three sites near Athens, Georgia, USA, in 2010. Bb = Bombus bimaculatus, Bg = B. griseocollis and Bi = B. impatiens. Q = queen, W = worker and M = male castes. Bb total captures = 228, Bg total captures = 529, Bi total captures = 1058.
Figure 10 in An exploratory study of bumble bee (Bombus) phenologies and plant interactions in agricultural landscapes in central Georgia, USA
Figure 10. Average captures per week of Bombus impatiens castes across three sites in 2010 near Athens, Georgia, USA. No individuals of this species were captured during the weeks of 12 April, 19 April, 17 May, 20 September, 27 September. No surveys were conducted during the week of 28 June or 6 September due to a lack of available person-hours, or the 16–30 weeks of August due to inclement weather or lack of sufficient bumble bee observations. Average captures are underrepresented during the following weeks due to limited supplies: 14 June, 12 July, 2 August, 9 August, 13 September, 4 October.
Figure 11 in An exploratory study of bumble bee (Bombus) phenologies and plant interactions in agricultural landscapes in central Georgia, USA
Figure 11. Weekly average captures of Bombus bimaculatus (Bb), B. griseocollis (Bg), B. impatiens (Bi), and B. a-f-p group (Bombus auricomus-pensylvanicus-fraternus, Bafp) across two sites in 2011 near Athens, Georgia, USA. Only one site could be surveyed during the weeks of 22 March–5 April, so total captures are shown for those two weeks. No surveys were conducted during the weeks of 30 May– 13 June due to a lack of available person-hours; or during the weeks of 9–23 May due to inclement weather and/or lack of sufficient bumble bee observations at both sites. Bombus were absent from both sites during the weeks of 23 June–29 September. Surveys were not conducted during the week of 3 October, but the date is included for comparison with Figure 5.
Can Plant-Based Diets Facilitate Dietary Transition in Bolivia?: An Exploratory Study
<p>Exploratory study on the relation between environmental concerns and the intention to shift to a more plant-based sustainable diet in Bolivia. Data was collected online, with volunteer anonymous participants.</p>
Convolutional Neural Networks and their Activations: An Exploratory Case Study on Mounded Settlements
<p>This data set represents the output of our paper "Convolutional Neural Networks and their Activations: An Exploratory Case Study on Mounded Settlements". It comprises png images of 400x800 pixels. Half of the image represents a section of CORONA imagery where a site (files named Site_.png) or no site (files named NonSite_.png) is present. The other half of the image contains the activation map produced by various explainability techniques.</p>
An Exploratory Study on Code Quality, Testing, Data Accuracy, and Practical Use Cases of IoT Wearables
<p>Data used in IoT Wearable Study</p>
Dataset of the Paper "Understanding Bugs of Learning Management Systems: An Exploratory Study on Moodle and Sakai"
<p>The datasets collected from JIRA and GitHub are used for an empirical study and data analysis of bug classification issues in learning management systems (Moodle and Sakai). A brief description of each document in the dataset is provided below:</p> <p>1. "LMS_bugs_data.sql" contains bug data items collected from JIRA for LMS (Moodle and Sakai), specifically including: BugID (D1), BugKey (D2), BugSummary (D3), BugStatus (D4), BugResolution (D5), BugDescription (D6), BugCreateAt (D7), BugCloseAt (D8), and BugComments (D9). Additional data items (e.g., fixversions, priority) are provided to support further research.</p> <p>2. "LMS_commits_data.sql" contains the commits corresponding to bug fixes in LMS (Moodle and Sakai) from GitHub, specifically including: CommitSha (D10), CommittedDate (D11), CommitMessage (D12), CommitTotal (D13), Changefiles (D14), Files (D15), and BugKey(D2). Other data items (e.g., commitauthor, additions) are provided for supporting the research.</p> <p>3. OT, LOCM, NOFM, Entropy, NODP, NOC (D16-D21) require the above data for calculation.</p> <p>4. "LMS_Moodle_Bug_Classification_Results_7898.xlsx" contains the bug classification results for Moodle, including: BugID, BugKey, Summary, ClusterId, GPT-4 Label Topic, BugType, and the mapping between BugType and ClusterId.</p> <p>5. "LMS_Sakai_Bug_Classification_Results_6089.xlsx" contains the bug classification results for Sakai, including: BugID, BugKey, Summary, ClusterId, GPT-4 Label Topic, BugType, and the mapping between BugType and ClusterId.</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.