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.
80
datasets available to search
ShareScore release 0.9.0
Dataset results
80 results for “OSS”
Ozone 3D field from IRS OSSE Control run - July 2019
<p>In the frame of Vittorioso's PhD, an Observing System Simulation Experiment has bee set up to evaluate the future benefit of the geostationary IRS sounder on ozone field over Europe. The full set-up is composed of a Nature Run (reality), a Control Run (no assimilation) and an Assimilation Run (assimilation or IRS) over the months June to August 2019.<br>This dataset is Ozone 3D field from the control run for July 2019. One file per day including hourly fields, gathered in 3 tar files.</p>
Ozone 3D field from IRS OSSE Control run - August 2019
<p>In the frame of Vittorioso's PhD, an Observing System Simulation Experiment has bee set up to evaluate the future benefit of the geostationary IRS sounder on ozone field over Europe. The full set-up is composed of a Nature Run (reality), a Control Run (no assimilation) and an Assimilation Run (assimilation or IRS) over the months June to August 2019.<br>This dataset is Ozone 3D field from the control run for August 2019. One file per day including hourly fields, gathered in 3 tar files.</p>
Ozone 3D field from IRS OSSE Nature run - June 2019
<p>In the frame of Vittorioso's PhD, an Observing System Simulation Experiment has bee set up to evaluate the future benefit of the geostationary IRS sounder on ozone field over Europe. The full set-up is composed of a Nature Run (reality), a Control Run (no assimilation) and an Assimilation Run (assimilation or IRS) over the months June to August 2019.<br>This dataset is Ozone 3D field from the nature run for June 2019. One file per day including hourly fields, gathered in 3 tar files.</p>
Ozone 3D field from IRS OSSE Nature run - August 2019
<p>In the frame of Vittorioso's PhD, an Observing System Simulation Experiment has bee set up to evaluate the future benefit of the geostationary IRS sounder on ozone field over Europe. The full set-up is composed of a Nature Run (reality), a Control Run (no assimilation) and an Assimilation Run (assimilation or IRS) over the months June to August 2019.<br>This dataset is Ozone 3D field from the nature run for August 2019. One file per day including hourly fields, gathered in 3 tar files.</p>
Ozone 3D field from IRS OSSE Nature run - July 2019
<p>In the frame of Vittorioso's PhD, an Observing System Simulation Experiment has bee set up to evaluate the future benefit of the geostationary IRS sounder on ozone field over Europe. The full set-up is composed of a Nature Run (reality), a Control Run (no assimilation) and an Assimilation Run (assimilation or IRS) over the months June to August 2019.<br>This dataset is Ozone 3D field from the nature run for July 2019. One file per day including hourly fields, gathered in 3 tar files.</p>
How do developers promote OSS?
<p>Hudson Silva Borges and Marco Tulio Valente. How do Developers Promote Open Source Projects?. Submitted to <em>IEEE Software</em>, pages 1-9, 2018.</p>
The Power of Bots: Understanding Bots in OSS Projects (Dataset)
<p>This package includes the main<strong> source code</strong> and <strong>data</strong> to replicate the method available in the paper "<em>The Power of Bots: Understanding Bots in OSS Projects</em>".</p> <p>If you have any questions, get in touch with mairieli at ime dot usp dot br</p>
Ridge Preservation Using a Ossix™ Bone vs Bio-Oss® Collagen
ClinicalTrials.gov study NCT04338516. IPD Sharing: NO. Countries: 1. Publications: 1.
Healing Dynamics in Human Extraction Sockets Grafted With Bio-Oss Collagen®
ClinicalTrials.gov study NCT03659617. IPD Sharing: NO. Countries: 1. Publications: 46.
Randomized, Controlled Study to Compare Straumann® VivOss™ to Geistlich Bio-Oss® in Sinus Floor Augmentation.
ClinicalTrials.gov study NCT02288182. IPD Sharing: NO. Countries: 2. Publications: 1.
Replication Package for the Paper "OSS License Identification at Scale: A Comprehensive Dataset Using World of Code"
<div> <div># Replication Package for the Paper "OSS License Identification at Scale: A Comprehensive Dataset Using World of Code"<br><br>containing the dataset and scripts used to create it.</div> </div>
Dataset for the Paper: "How Do OSS Developers Reuse Architectural Solutions from Q&A Sites: An Empirical Study"
<p>This package contains the dataset of the paper "How Do OSS Developers Reuse Architectural Solutions from Q&A Sites: An Empirical Study":</p> <p><strong>(1) Commits and Issues.xlsx</strong></p> <p>This file includes 984 commits and issues for the mining study.</p> <p><strong>(2) Survey Questionnaire (Customized Invitation Email).docx</strong></p> <p>This file provides the customized email used to invite each survey participant.</p> <p><strong>(3) Survey Questionnaire.xlsx</strong></p> <p>This file includes 12 survey questions used to collect the responses from the participants.</p> <p><strong>(4) Survey Responses.</strong><strong>xlsx</strong></p> <p>This file includes 227 valid responses and the results of data extraction and analysis for the survey study.</p> <p><strong>(5) Data Extraction and Analysis.mx20</strong></p> <p>This file contains the results of data extraction and analysis for the mining study, which were analyzed by the MAXQDA tool. The file can be opened by MAXQDA 2020 or higher versions, which are available at https://www.maxqda.com/. You may also use the free 14 days trial version of MAXQDA 2020, which is available at https://www.maxqda.com/trial for download.</p>
Case Study Scenarios (CSS) 1 for OSSE of tropopause fold
<p>These are the simulated CAIRT ozone profiles for the period 15/Nov/2021-1/Feb/2022 using, in the following order:</p><ul><li>CAMS hlqd control run simulation as reference ozone field</li><li>sim_CAIRT_grid.py to generate CAIRT retrieval grid (i.e. the geolocation of the CAIRT profiles)</li><li>BASCOE_MAO to interpolate CAMS hlqd 3-hourly output at CAIRT geolocation</li><li>FL2S to perturb CAMS@CAIRT ozone according to CAIRT expected performences (using the AK, the systematic and the random error) and add error bar to the ozone profiles.</li></ul><p>These are the ozone profiles assimilated by BASCOE for the Observing System Simulation Experiment (OSSE) discussed in CAIRT Report for Assessment (RfA).</p>
Community Tapestry: An Actionable Tool to Track Turnover and Diversity in OSS
Open the record for dataset details and reuse information.
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>
"Temporal Network Dataset of OSS Programming Language Ecosystems" reproducibility package
<p>Reproducibility package for the paper submission "Temporal Network Dataset of OSS Programming Language Ecosystems" to the Mining Software Repositories 2022 conference. Contains the dataset, extracted metrics, and all scripts used for the construction and the analysis done in the paper.</p> <p> </p> <p>Anonymised for the double-blind review process.</p>
The input files and processed output data for the OSSEs using particle filter for the forecast of cloud and precipitation
<p>DART_input.tar.gz contains the input files for the DART system for the control run, Exp-1 ~ Exp-5.</p> <p>WRF&WRS_namelist.tar.gz contains the input namelist files for the WPS and WRF model for the nature run, the control run, and Exp-1 ~ Exp-5.</p> <p>cloud_data.tar.gz contains the procssed output data for the WRF/DART system corresponding to the nature run, the control run, and Exp-1 ~ Exp-5. Untarring the file will generate several subdirectories named after the UTC time. For example, 202008200200 denotes the results for at 02:00 UTC, 20 August, 2020. Because the data for all times are quite large (~10G), we only uploaded the data at 02:00 UTC, 20 August, 2020, 10:30 UTC, 20 August, 2020, 19:00 UTC, 20 August, 2020, 03:30 UTC, 21 August, 2020, and 12:00 UTC, 21 August, 2020. Each subdirectory contains preassim_mean.nc and postassim_mean.nc, which mean the posterior and prior estimate of atmosphere state variables and other processed variables. Either preassim_mean.nc or postassim_mean.nc contains the cloud water path (CWP, unit:kgm-2), cloud water content (CWC, which is the sum of the mixing ratio of six cloud hydrometeors, unit: kgkg-1), RE_CLOUD(unit:um), RE_ICE(unit:um), QVAPOR(unit:kgkg-1), T(the perturbation of potential temperature, unit:K).</p> <p>rain_rate.tar.gz contains the procssed output data for the rain rate corresponding to the nature run, the control run, and Exp-4 ~ Exp-5.</p>
FIGURE 4. Rheotanytarsus oss Cranston. A in Contribution to the knowledge of Rheotanytarsus pellucidus species group from China (Diptera, Chironomidae): three new and one newly recorded species
FIGURE 4. Rheotanytarsus oss Cranston. A. wing; B. hypopygium, dorsal view; C. hypopygium, ventral view; D. superior volsella; E. median volsella.
The Multifaceted Nature of Mentoring in OSS: Strategies, Qualities, and Ideal Outcomes
Open the record for dataset details and reuse information.
Efficacy and Safety of Bongros-BMP Compared to Bio-oss for Regeneration of Alveolar Bone Tissue After Maxillary Sinus Floor Augmentation
ClinicalTrials.gov study NCT01634308. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.