Find research datasets worth reusing

opencc-by-4.0Sep 2017View details →

Austrian Science Fund (FWF) publication costs in 2013 for journal articles_Exercise-workshop open science

FWF journal publication costs 2013 used for the open science workshop, 27.09.2017 Austrian Science Fund (FWF) publication costs in 2013 for journal articles This dataset is licensed under a CC-0 license. Explanation of data - Overview The dataset includes payments for articles of authors funded by the Austrian Science Fund (FWF) via the program 'Peer Reviewed Publications', see: http://www.fwf.ac.at/en/projects/peer-reviewed_publications.html The dataset only includes information when costs were applied via the program Peer Reviewed Publications. If an author has covered the costs by the global budget of his/her research project, by other resources or the publisher provides a Gold OA service free of charge, this information is not included in this dataset. Payments are either reimbursed to the authors or directly paid to the publishers by the FWF. The data slightly differs from FWF's annual report 2013 because this dataset does not include payments for Proceedings, Open Access Books, repayments by publishers in the case of double payments or submission fees for articles which were not published. The dataset contains the following elements DOI/PMID Usually the DOI-number (Digital Object Identifier) of an article is listed, and the PMID (PubMed ID) where DOI is not available. In very few cases, no permanent identifier exists. COST TYPE (1) Gold Open Access and (2) Hybrid Open Access are defined by FWF's Open Access Policy, see: http://www.fwf.ac.at/en/public_relations/oai/index.html (3) "Other publication costs" are defined as additional costs to the subscription price charged by subscription journals (i.e. submission fees, colour charges, page charges, figure charges, table charges, supplemental charges.) COST Some articles are listed twice because they are charged for Hybrid Open Access as well as for Other publication costs. These articles are marked in red in the field "Article Title." All costs have been converted into EURO (€) and include VAT where applicable. Different prices for the same journal are caused either by exchange rate fluctuation or by cost sharing among authors. When these differences are small, it can be assumed that this reflects exchange rate fluctuations. Where they are significant, then it should be assumed that other funders have contributed to the cost of that APC (Article Processing Charge), and the figure cited is the FWF contribution to that APC. ARTICLE TITLE This is the title of the article as stated on the journal website. JOURNAL TITLE Most journal title information were collected from Scopus but some were entered manually. PUBLISHER Sources for publisher names are: (a) Romeo/Sherpa-database or (b) the journal websites. YEAR OF PUBLICATION It shows the year of publication of an article reimbursed/paid in 2013 by the FWF. In some cases, there is a time lag of a year and more between the year of publication and the payment in 2013. That is mostly explained by administrative delays. However, it was monitored by the FWF that these articles were made Open Access by the publishers at the date of online publication. In very few cases, some days of delay were tolerated. For the cases in questions, see "Notes". OPEN ACCESS "OA" is used when APCs were charged either for an article in an Open Access journal or for Hybrid Open Access in a subscription journal. LICENSE Status of licenses are tracked according to Open Article Gauge, NOTES Additional information, if necessary.

opencc-by-4.0Oct 2017View details →

List of publishers allowing deposit of preprint and postprint or final version in an open archive.

The content of this dataset is the following: api29.green.xml List of the publishers allowing deposit of the preprint (version submitted to the publisher) and of the postprint (version reviewed by the publisher) or the final version (version published with the publisher's layout) in a open archive. api29.blue.xml List of the publishers allowing deposit of the postprint (version reviewed by the publisher) or the final version (version published with the publisher's layout) in a open archive. api29.yellow.xml List of the publishers allowing deposit of the preprint (version submitted to the publisher) in an open archive. api29.greenCH.xml List of Swiss journals allowing deposit of preprint and postprint or final version in an open archive. api29.greenGB.xml List of British journals allowing deposit of preprint and postprint or final version in an open archive. api29.greenUS.xml List of American journals allowing deposit of preprint and postprint or final version in an open archive. These files describe publishers by providing their name, conditions of deposit in an open archive of preprints (can | cannot), postprints (can | cannot) and final version (can | cannot). Potential restrictions are also mentionned.

opencc-by-4.0Apr 2024View details →

Changes in planned and unplanned canopy openings are linked in Europe's forests

Code and data for the paper Seidl, R. and Senf, C. (2024) Changes in planned and unplanned canopy openings are linked in Europe’s forests. .

opencc-by-4.0Nov 2011View details →

Open Access Interviews - Professor Arunachalam

An interview during Open Access Week 2011 with Subbiah Arunachalam, was conducted by Tom Dane.

openmit-licenseMay 2024View details →

Replication Package for "On The Impact of Adopting AI Libraries in Open Source Projects. A Large Scale Study"

# Replication Package for the Paper: "On The Impact of Adopting AI Libraries in Open Source Projects. A Large Scale Study" This replication package includes the raw data, questionnaire answers, and a Python notebook to reproduce the results detailed in the paper "On The Impact of Adopting AI Libraries in Open Source Projects. A Large Scale Study" ## Repository Structure 1. **Results:** Contains Excel files with the responses from the 2 human experts and the 5 models and the review of the 3 human reviewers. 2. **Tables:** Contains the full Wilcoxon Test Results for H01 and H02 as well as the Anderson Darling test for normality and the Spearmans' Rho. ## Replication Process To replicate the results of our study, open the provided Python Notebook in Google Colab and follow the instructions to reproduce the results seamlessly. # Instructions for Use To utilize this replicability package, refer to the steps outlined in the notebook file. # Remarks If you encounter any issues or have any questions, please get in touch with the paper's authors. We will be glad to assist you!

Sociotechnical Dynamics in Open Source Smart Contract Repositories: An Exploratory Data Analysis of Curated High Market Value Projects

This is the replication package for the paper “Sociotechnical Dynamics in Open Source Smart Contract Repositories: An Exploratory Data Analysis of Curated High Market Value Projects”. In project_curation_selection, there is the curation process of the 100 selected projects including the identification of GitHub repositories and classification of evolution scenarios.  In distribution_commits_issues_contributors_market_value_before_after_deploy, data collection from GitHub projects includes the distribution of total commits, contributors, and issues before and after deployment of each investigated project.  In analysis_commit_messages, there is qualitative analysis of commit message content from all investigated projects.  In the analysis_contributors section, the data focuses on analyzing the profiles of each GitHub contributor involved in the investigated projects. In analysis_market_value_by_project, data refers to the market value and volume of each investigated project.  In codes, there are scripts used to obtain the analyzed data.

Dataset of the study "Open Access and Data Sharing in Cancer Stem Cells research"

Dataset of the study "Open Access and Data Sharing in Cancer Stem Cells research"

Open Access Infographic: Open vs. Closed Access

The infographic illustrates that open access enables the public and scientists to freely access publications and thus research results. Although research is often funded by taxpayers' money, access to closed access remains subject to a fee. Even researchers only have indirect access via their institutions, which have to subscribe to the relevant journals. The infographic is also available in German: https://zenodo.org/records/10973225 We would be delighted if the infographic is reused, for example as a poster, postcard or puzzle.

MESA Inlists for: Barium Surface Abundances of Blue Straggler Stars in the Open Clusters NGC 7789 and M67

These are the MESA v15140 inlists and Python script associated with the models presented in Nine et al. (2024). The files are as follows: inlist, inlist_start_header, inlist_to_end_core_h_burn_header, inlist_to_start_he_core_flash_header, inlist_to_end_core_he_burn_header, inlist_to_end_agb_header, inlist_to_wd_header: Pointer files to tell MESA which inlists to read for control, kappa, and PGStar commands. inlist_start, inlist_to_end_core_h_burn, inlist_to_start_he_core_flash, inlist_to_end_core_he_burn, inlist_to_end_agb, inlist_to_wd: MESA inlist files with control, kappa, and PGStar commands for each stage. turnoff_masses.py: a Python script that takes in the file inlist_start_base and rewrites it to create a starting model with the mass of a turnoff star in NGC 7789 (1.8 solar masses), NGC 6819 (1.5 solar masses), M67 (1.3 solar masses), and NGC 188 (1.1 solar masses). This starting model is then used in the following inlists to create AGB star models with these masses. inlist_start_base: The base starting inlist that turnoff_masses.py reads in and alters to create inlist_start.

ATLAS OmniFold 24-Dimensional Z+jets Open Data

<div>These datasets contain the unbinned, twenty-four-dimensional ATLAS Z+jets differential cross-section measurement presented in <a href="https://cds.cern.ch/record/2899105" target="_blank" rel="noopener">CERN-EP-2024-132</a>. The measurements are presented as Pandas DataFrames in HDF5 format, and they are accompanied by MC predictions formatted as Numpy arrays. Measurements are provided both for "pseudo-data", i.e. a validation MC sample with truth- and reco-level quantities that has been reweighted to match data, as well as real data. </div> <div> </div> <div>Important: Before using this data, please consult the <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024" target="_blank" rel="noopener">documentation & example notebooks</a>. </div> <div> </div> <div>The signal process is inclusive Z→μμ production with a fiducial region defined in the boosted regime: p_T^μμ > 200 GeV. </div> <div> </div> <div>In total, 24 Z+jets kinematic observables are measured:</div> <ul> <li>p_T, η, and ϕ of each of the two muons (6 observables)</li> <li>The p_T and rapidity of the dimuon system: p_T^μμ, y^μμ (2 observables)</li> <li>The 4-momenta (p_T, y, ϕ, m) of the two leading charged particle jets (8 observables)</li> <li>The number of (charged) constituents and n-subjettiness quantities τ_1, τ_2, and τ_3 for each of the same two jets (8 observables)</li> </ul> <div>The dimuon system p_T and y can be obtained from the muon kinematics, but they are included for convenience. The observables are labeled by 1 and 2 for leading and subleading in p_T, respectively. </div>

Open-source release of tensor-network software

This is a package<a href="https://github.com/aspects-quantum/TFlucn_tedopa#user-content-fn-SBmodel-85d3b1b42ae4f41239f8975ec68008b2">1</a> for calculating FLUCTUATIONS of heat transfer in the Spin-Boson model<a href="https://github.com/aspects-quantum/TFlucn_tedopa#user-content-fn-PRX2020-85d3b1b42ae4f41239f8975ec68008b2">2</a> using the Time Evolving Density matrices using Orthogonal Polynomial Algorithm (TEDOPA)<a href="https://github.com/aspects-quantum/TFlucn_tedopa#user-content-fn-Prior2010-85d3b1b42ae4f41239f8975ec68008b2">3</a><a href="https://github.com/aspects-quantum/TFlucn_tedopa#user-content-fn-Chin2010-85d3b1b42ae4f41239f8975ec68008b2">4</a>. We employ the Thermofield-based chain-mapping approach for open quantum systems<a href="https://github.com/aspects-quantum/TFlucn_tedopa#user-content-fn-PRA2015-85d3b1b42ae4f41239f8975ec68008b2">5</a> that enables us to use a vacuum initial matrix product state (pure) for the environment instead of a thermal state (mixed), thereby speeding up the computation greatly. In this package, we use the ITensor library<a href="https://github.com/aspects-quantum/TFlucn_tedopa#user-content-fn-Itensor-85d3b1b42ae4f41239f8975ec68008b2">6</a> in Julia for tensor network manipulations.   This package uses julia = "1.8.2" version.

opencc-by-sa-4.0Jun 2024View details →

Open Platfoms

Open the record for dataset details and reuse information.

Open Extensive 3D Dataset of Geometric Objects Placed in a Watertank for Electrical Impedance Tomography

Electrical impedance tomography (EIT) is a non-invasive, radiation-free imaging method for visualizing the tomography of electrically conductive objects. The image reconstruction approach using data-driven methods or deep neural networks (DNN) has become very popular. To train such a reconstruction network, much data is required to reconstruct the conductivity distribution reliably, which is why simulation data are often used. This is an open-access experimental 3D EIT data set. The measurements were generated using the Sciospec EIT device, from which 64 electrodes were connected in two stages, with 32 electrodes, to a phantom tank filled with saline. Various ball objects of different sizes and materials were placed in this tank volume-wide. The provided dataset contains more than 124,000 samples.

opencc-zeroJun 2024View details →

dryad32/100

North Campus Open Space (NCOS) Monthly Bird Survey Data (2017-2023)

Bird surveys are completed once a month by Cheadle Center staff and associates. Each survey starts 45 minutes after sunrise and lasts about 2 hours. The survey has at least 4 experienced birders- 2 that survey the eastern side and 2 that survey the western route (exact routes can be found on ArcGIS online). Surveyors use a combination of binoculars, scopes, and listening for calls to identify species. A point is placed on the map to the best accuracy possible using the ArcGIS app field maps or collector. The survey is also set up to record the surveyors' location every 30 seconds as a way to track the survey route. When there are large groups of birds, 10 or more, an approximate number is decided between the two surveyors. If a bird is seen multiple times along the route, it is labeled a repeat. The two groups met up after the survey and discussed what was seen. Any birds that are expected to be a repeat were changed to note that they were a repeat within the dataset. Environmental data such as cloud cover, water level, and temperature are recorded at the beginning and end of the survey. This data is an aggregation that contains the number of each species spotted on site each month. If you are interested in the birds' exact location, you can download individual monthly data from ArcGIS Online.

Fault-Tolerant Computing with Single Qudit Encoding in a Molecular Spin. Open data set

<div> Data supporting the original figures 2, 3 and 4 (ESI) of the related manuscript. </div>

AI4Life Open Calls: PROJECT OC1-10

This dataset includes flow cytometry data (FCS files) for several plankton species, plus label data indicating which event in the FCS file is an alive sample.

Dataset: Cultural Openness and desire to learn regarding language education: systematic review

Documental Dataset belonging to the Conference presentation titled: <div> Cultural Openness and desire to learn regarding language education: systematic review. The complete reference is: Peña-Acuña, B. (2024). Cultural Openness and desire to learn regarding language education: systematic review The thirty first international Conference of Learning. Utrech, The Netherlands. July 2024.  </div>

opencc-by-nc-4.0Mar 2024View details →

Covert Communication Channels based on Hardware Trojans: open-source dataset

<h1>Dataset of Hardware-Trojan (HT) based Covert Channels (HT-CCs) for the IEEE 802.11 (WiFi) standard</h1> <div> <h2>Datasets arhitecture</h2> <ul> <li>The dataset has 80 dataset elements organized in 5 classes, namely CC-free (HT0-CC) and CC-infected (HTX-CC, X={1, · · · , 4}), each class has 16 elements.</li> <li>Those 16 elements are 8 acquisitions for different SNR values ranging from 1dB to 29dB with a step of 4dB, 2 acquisitions for each SNR value. The second acquisition was obtained immediately after the first one, with no other parameters changing between one acquisition and the other. The second acquisition is marked with an underscore in the naming of the file.</li> <li>Each dataset element has 2000 frames and it is the concatenation of ten 200-frames sub-acquisitions.</li> </ul> </div> <div> <h3>Naming convention</h3> </div> Files are named according to the following convention: First acquisition: <div> <pre><code>rxSig_<SNR value>dB_HT<HT-CC attack>.mat </code></pre> <div> </div> </div> Second acquisition: <div> <pre><code>rxSig_<SNR value>dB_HT<HT-CC attack>_.mat </code></pre> <div> </div> </div> <ul> <li>SNR value: ranging from 1dB to 29dB with a step of 4dB, i.e., <1>=SNR of 1db, <2>=SNR of 5db, <3>=SNR of 9dB, <4>=SNR of 13dB, <5>=SNR of 17dB, <6>=SNR of 21dB, <7>=SNR of 25dB, <8>=SNR of 29dB.</li> <li>HT-CC attack: CC-free (HT0-CC) and CC-infected (HTX-CC, X={1, · · · , 4}).</li> </ul> <div> <h3>HT0-CC</h3> </div> The HT0-CC is the benchmark CC-free transmission according to the WiFi standard. <div> <h3>HT1-CC</h3> </div> The HT1-CC is the Amplitude Modulation (AM) Short Training Sequence (STS) HT attak based on the paper <blockquote> A. R. Díaz-Rizo, H. Aboushady and H.-G. Stratigopoulos, "Leaking Wireless ICs via Hardware Trojan-Infected Synchronization," in IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 5, pp. 3845-3859, 1 Sept.-Oct. 2023, doi: 10.1109/TDSC.2022.3218507. </blockquote> The amplitude modulation value alpha is set to 10%. <div> <h3>HT2-CC</h3> </div> The HT2-CC is the PSK STF HT attack based on the paper <blockquote> J. Classen, M. Schulz and M. Hollick, "Practical covert channels for WiFi systems," 2015 IEEE Conference on Communications and Network Security (CNS), Florence, Italy, 2015, pp. 209-217, doi: 10.1109/CNS.2015.7346830. </blockquote> The implemented version is leaking 8 bits per OFDM PPDU. <div> <h3>HT3-CC</h3> </div> The HT3-CC is the Dirty Constellation attack based on paper <blockquote> A. Dutta, D. Saha, D. Grunwald and D. Sicker, "Secret Agent Radio: Covert Communication through Dirty Constellations," in Proceedings of the 14th international conference on Information Hiding (IH'12). Springer-Verlag, Berlin, Heidelberg, 160–175, doi: 10.1007/978-3-642-36373-3_11. </blockquote> The implemented version of this attack has an embedding frequency of 5 subcarriers per OFDM symbol, where each OFDM symbol comprises 48 data subcarriers. Each dirty subcarrier is leaking 2 bits; therefore, we are leaking 10 bits per OFDM symbol, <div> <h3>HT4-CC</h3> </div> The HT4-CC is the AM analog/RF attack based on paper <blockquote> K. S. Subramani, N. Helal, A. Antonopoulos, A. Nosratinia and Y. Makris, "Amplitude-Modulating Analog/RF Hardware Trojans in Wireless Networks: Risks and Remedies," in IEEE Transactions on Information Forensics and Security, vol. 15, pp. 3497-3510, 2020, doi: 10.1109/TIFS.2020.2990792. </blockquote> Due to SPI limitations, the implemented version of the attack is a digitally-emulated version of the AM analog/RF attack. It leaks 8 bits per transmitted frame. <div> <h2>Hardware Platform</h2> </div> Acquisitions are received downconverted IQ samples using a Software Defined Radio (SDR) board bladeRF xA9.

Perceived Barriers to Open Science among Researchers in Mathematics, Natural Sciences, and Cognitive Sciences

General Information: This dataset contains artifacts related to Riedel et al. (2024) "Perceived Barriers to Open Science among Researchers in Mathematics, Natural Sciences, and Cognitive Sciences", presented at the Hochschule 2034 Workshop (DOI WILL BE ADDED). Here, we investigate the perceived barriers to open science practices by researchers. This dataset contains the a XLSX file containing the questionnaire’s answers, and a Jupyter notebook script to evaluate the given data.

Geodiversity index of the proposed opening area for deep-sea mineral explorations in Norway.

Dataset containing sub-indexes of bathymetry, seafloor roughness, geomorphology and sediment thickness as well as a geodiversity index of the proposed opening area for deep-sea mineral explorations in het Norwegian Sea.