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3,172 results for “Publications”
The Public Jira Dataset
<p>Jira is an issue tracking system that supports software companies (among other types of companies) with managing their projects, community, and processes. This dataset is a collection of public Jira repositories downloaded from the internet using the Jira API V2. We collected data from 16 public Jira repositories containing 1822 projects and 2.7 million issues. Included in this data are historical records of 32 million changes, 9 million comments, and 1 million issue links that connect the issues in complex ways. This artefact repository contains the data as a MongoDB dump, the scripts used to download the data, the scripts used to interpret the data, and qualitative work conducted to make the data more approachable.</p> <p>Note: This data has been anonymised to remove all personal information stored inside the user records within each object. This includes information about the assignee, creator, and reporter for each issue, as well as the identifying information contained with comment authors and evolution authors. Using UUID4 masks, uniqueness has been maintained while removing all personal identifying information.</p> <p>Please cite this work as:</p> <p>Montgomery L, Lüders C, Maalej W. An Alternative Issue Tracking Dataset of Public Jira Repositories. In 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR) 2022 May 23 (pp. 73-77). IEEE.</p>
Data for One Earth publication "Breaching planetary boundaries: Over half of global land area suffers critical losses in functional biosphere integrity"
<p>This repository contains data and processing scripts for the study: Stenzel et al. 2025, One Earth, "Breaching planetary boundaries: Over half of global land area suffers critical losses in functional biosphere integrity".</p>
Final Version of the Data associated to the publication "A Benchmark for Finite Prandtl Number Convection: Comparison of Boltzmann and Navier-Stokes Solutions"
<p>Final Version of V_rms and Nu for the three codes, GAIA, StreamV, TLBM, used for a benchmark manuscript titled "A Benchmark for Finite Prandtl Number Convection: Comparison of Boltzmann and Navier-Stokes Solutions", Authors: Gabriele Morra, Peter Mora, Christian Huttig, Nicola Tosi, Henri Samuel, David A. Yuen</p> <p>The Zip file contains both npy and out versions of V_rms and Nu. In the out files, time is embedded in each file. In the "npy" version, time is a separate npy file. In this final version, pdf figures for each case are also embedded.</p>
Uncovering hundreds of RNA viral RdRps amongst uncharacterised sequences in public protein databases.
<p>These data are associated with the following manuscript:</p> <p>Brown, K., Firth, A. E. (2025)<br>Uncovering hundreds of RNA viral RdRps amongst uncharacterised sequences in public protein databases.<br><br></p>
S96 | ECIPFAS | Updatable List to add PFAS Structures to Public Resources from ECI (UniLu)
<p>This is the collection associated with list S96 ECIPFAS Updatable List to add PFAS Structures to Public Resources from ECI (UniLu) on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>This dataset is for users to contribute PFAS from the literature or other documents to the NORMAN SLE, SusDat and PubChem. Note that the role of this list is to enable the addition of new PFAS into databases and is not intended to be a comprehensive PFAS listing. The start of this collection was all PFAS entries in the S74_REFTPS dataset, which includes also legacy PFAS.</p> <p>Update 29/3/2022: Added Munoz et al data. 1/4/2022: added CIDs for new entries from 29/3. Update 03/05/2022 added new entries. 18/12: updated existing entries, corrected CID 163201609 => 166001338. Update 06/09/2025: added new entries from Jonathan Zweigle; 10/09/2025 added new CIDs.</p>
Publication identifiers of the perovskite dataset and the QA code
<p>The dataset contains the identifiers for separate 194,322 publications used in the article 'Question Answering models for information extraction from perovskite materials science literature'. The publications are separated by the data provider. For articles scraped from Core API and arXiV API which did not contain DOI, the identifier is either arXiV API identifier or Core API identifier.</p> <p>The zipped folder "QA_for_MS-main.zip" contains the codes used in the article. They are also available in https://gitlab.com/mil-utu/QA_for_MS.</p>
Supplementary data on learning about German farmers' willingness to cooperate from public goods games and expert predictions
<p>Supplemental files on learning about German farmers' willingness to cooperate from public goods games and expert predictions. </p>
Public buildings in Ottoman Plovdiv
<p>Appendix 1.2 Identified buildings from the Ottoman period to the book Ottoman Plovdiv: Space, Architecture, and Population (14th-17th Centuries)</p>
Interviews on Current Practices for Describing and Providing Access to UK Public Sector Web Archives
<p>This dataset contains qualitative interview data which investigated current practice for describing and providing access to UK Public Sector Web Archives. Participants included staff responsible for the management and curation of the following web archives:</p><ul><li>UK Web Archive (four of the six Legal Deposit libraries: the British Library, Bodleian Libraries, Cambridge University Library, and the National Library of Scotland)</li><li>UK Government Web Archive (The National Archives)</li><li>UK Parliament Web Archive (Parliamentary Archives)</li><li>NRS Web Archive (National Records of Scotland) and</li><li>PRONI Web Archive (Public Record Office Northern Ireland).</li></ul><p>Available to the public are the University of Dundee (UoD) ethics application for this study, including the research data management plan and information provided to organisations before participating in the study. The report of interview codes and code groups (the 'Codebook') demonstrates the connections made across responses. This is supplemented by a redacted report of quotations by code, organised by code group and document.</p><p>This qualitative interview data, and subsequent analysis, forms the basis of the Masters thesis 'Web Archives for All? Towards Equitable Access to UK Public Sector Web Archives' submitted as part of the MLitt Archives and Records Management at the University of Dundee. </p>
The ULS23 Challenge Public Training Dataset
<p>This dataset contains part of the imaging data for the <a href="https://uls23.grand-challenge.org/">Universal Lesion Segmentation Challenge (ULS23).</a> It contains the lesion volumes-of-interest (VOI's) for the novel annotated data of this challenge. It consists of 750 lesions from the DeepLesion dataset, 744 bone and 124 pancreas lesions from the Radboudumc. Pancreas data was collected by Natália Alves, Megan Schuurmans and Henkjan Huisman. The annotations are made available through the <a href="https://github.com/MJJdG/ULS23">Challenge repository on GitHub</a>.<br> </p><p>The full training dataset:</p><ul><li><a href="https://zenodo.org/records/10050960">Part 2</a>: kits21, LIDC-IDRI, LiTS</li><li><a href="https://zenodo.org/records/10054306">Part 3</a>: MDSC task 6/7/10, NIH-LN, CCC18</li><li><a href="https://zenodo.org/records/10054702">Part 4</a>: DeepLesion</li><li><a href="https://zenodo.org/records/10057471">Part 5</a>: DeepLesion</li><li><a href="https://zenodo.org/records/10056235">Part 6</a>: DeepLesion</li></ul><p><br>The Universal Lesion Segmentation 2023 (ULS23) data is licensed under CC BY-NC-SA 4.0 <br> </p>
Data files used for all code presented in the extraChIPs publication
<p>These are the data files referred to in the code during preparation of the extraChIPs primary publication. All files are expected to be extracted into a directory called 'data' in the working directory. Doing so will enable running of all code within the paper ensuring complete reproducibility of figures and results.</p><p>Data was produced using the code at https://doi.org/10.5281/zenodo.10047980 and the required files placed in the above directories.</p>
Public transport occupancy capture
<p>This repository contains a capture of the occupancy of a campus bus at ESPOL, in Ecuador.</p><p>The entry and exit events are recorded in the `measurements` array, `counts` with an `id` of 8 are entry events,</p><p>and `counts` with an `id` of 9 are exit events.</p><p>The timestamps are incorrect, as the sensor used was not connected to the internet. However, the relative time between events is correct.</p><p>The experiment was carried out on July 19, 2023 and lasted 1 hour.</p>
Dataset related to the publication E. Fasci et al., Sensors and Actuators: A. Physical 362 (2023) 114632 (https://doi.org/10.1016/j.sna.2023.114632)
<p>file <i>Allan analysis.xlsx</i>: Allan-Werle deviation analysis of the measured ring down times. From these data a minimum detectable absorption coefficient of 6.5x10^-12 cm^-1 can be inferred, being the ring-down time under vacuum conditions about 127.5 us.</p><p>file <i>Water mole fraction VS time.xlsx</i> : Time development of the CRDS measured water mole fraction with a N_2 flow rate of 2 l/min. The gas pressure was set to the constant value of 2666 Pa. Each data point was retrieved from the recording of a full absorption spectrum of the H_2O 3_(2,2)→2_(2,1) transition, belonging to nu_1 + nu_3 vibrational band.</p><p>This work was done within the project PROMETH2O (EMPIR 20IND06), which received funding from the EMPIR programme cofinanced by the Participating States and from the European Union's Horizon 2020 research and innovation programme. </p>
Data set from the publication DOI: 10.1200/JCO.22.01748
<p>This is the original dataset including anatomised patient codes, overall survival, progression-free survival, PD-L1 TPS score, PD-1/PD-L1 interaction state (measured by QF-Pro technology of HAWK Biosystems, mean, median and upper quartile values given), patient status (dead or alive).</p>
University of Turin IRIS-registered Publications for co-authorship networks
<p>Data extracted from the University of Turin (UNITO) IRIS publication database (available at <a href="https://iris.unito.it/">www.iris.unito.it</a>) regarding publication authorship.<br>This data was generated in order to produce co-authorship networks of authors inside of UNITO.<br><br>The JSON-formatted dataset includes data regarding UNITO affiliated authors that have published from the year 2012 to roughly September 2023, along with a list of all of their publications in the same time period.The dataset encompasses 15807 authors and 66313 articles.<br><br>The JSON has the following structure:</p><ul><li>`authors` (list): A list of objects representing authors, each with the following structure:<ul><li>`name` (string): The author's given name, all in lowercase letters. This field is always populated;</li><li>`surname` (string): The author's family name, all in lowercase letters. This field is always populated;</li><li>`affiliation` (string): The string "university of turin";</li><li>`department` (string or NULL): Empty (`null`) or with a string indicating the author's <strong>current</strong> (as of data collection, roughly September 2023) work department;</li><li>`id` (string): Unique UUID4 of the author.</li></ul></li><li>`papers` (list): A list of object representing published articles, each with the following structure:<ul><li>`id` (string): Unique IRIS ID of the publication. This field is always populated;</li><li>`title` (string): Title of the publication. This field is always populated;</li><li>`year` (numeric): Year of the article's publication date. This field is always populated;</li><li>`authors` (list): A non-empty list of strings. Each string is one ID of one of the authors in the `authors` list.</li></ul></li></ul><p>The data was kindly provided by the IRIS office in September 2023 and preprocessed by Luca Visentin to a digestible JSON.</p>
2DVD dataset for GMD publication - Simulated prognostic approach of graupel density in a bulk-type cloud microphysics scheme and evaluation during the ICE-POP field campaign
<p>This archive contains the 2DVD measurement of graupel particles used in the GMD paper "Simulated prognostic approach of graupel density in a bulk-type cloud microphysics scheme and evaluation during the ICE-POP field campaign".</p><p>For each identified graupel particle, the following are included:</p><ul><li>Volume-equivalent diameter (mm)</li><li>Density (g cm-3)</li><li>Fall velocity (m s-1)</li></ul>
data for publication "Benefits of biobased fertilizers as substitutes for synthetic nitrogen fertilizers: Field assessment combining minirhizotron and UAV-based spectrum sensing technologies"
<p>Dataset for the scientific publication "Benefits of biobased fertilizers as substitutes for synthetic nitrogen fertilizers: Field assessment combining minirhizotron and UAV-based spectrum sensing technologies" in the Journal Frontiers of Environmental Science. </p><p><a href="https://doi.org/10.3389/fenvs.2022.988932">https://doi.org/10.3389/fenvs.2022.988932</a></p>
data for publication "Dynamics of soil nitrogen and N-cycling-related genes following the application of biobased fertilizers"
<p>Dataset for the scientific publication titled "Dynamics of soil nitrogen and N-cycling-related genes following the application of biobased fertilizers" in the Journal <a href="https://www.sciencedirect.com/journal/applied-soil-ecology">Applied Soil Ecology</a>. </p><p><a href="https://doi.org/10.1016/j.apsoil.2023.105033">https://doi.org/10.1016/j.apsoil.2023.105033</a> </p>
The winter subset of the Saildrone 2021-2022 Mission to the Gulf Stream used for the publication "The importance of contemporaneous measurements for regional air-sea CO2 flux estimates"
<p>Data from the Saildrone 2021-2022 observational mission to the Gulf Stream. These data are published to accompany the publication "The importance of contemporaneous measurements for regional air-sea CO<sub>2</sub> flux estimates." Included in this dataset are the primary and processed variables used throughout the paper. The data associated with each saildrone is named by the drone number. Additionally, included in the structure for each drone are the gas transfer velocities for each scenario, MBL atmospheric CO2 interpolated to the time and location of the drone, and ERA-5 wind speed, sea level pressure, significant wave height, and drag coefficient interpolated to the time and location of the drone. These variables are used to calculate CO<sub>2</sub> fluxes for each scenario and are named as follows: "F" + gas transfer velocity equation used (DM18 or W14) + drone ID + scenario. Scenario A-D correspond to those outlined in the paper. Scenarios E and F correspond to the calculation of air-sea fluxes using all saildrone observed variables except for atmospheric CO<sub>2</sub> (from MBL product) and significant wave height (from ERA-5), respectively. </p>
Data for the publication "Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model" - part 2
<p>The data is split into two datasets, for each to be smaller than 50 GB.</p>
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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.