Find research datasets worth reusing

Data for the publication: Bursting of condensates

This entry includes the raw data and the analysed data for the publication "Bursting of condensates". The original publication was published in Communications Physics: https://doi.org/10.1038/s42005-024-01650-5 The "Analysed_Data.zip" folder contains 5 subfolders with the name of the proteins. Each subfolder contains the analysed data from the videos as .txt files. The type of data is specified in the name: aspiration, retraction, bursting_radius, curvilinear_coordinate. The "Video_protein_name.zip" folders contain the videos in the .tif format obtained with optical microscopy. The applied pressure (Pa) as well as the fps are indicated in the file name. The folder "Stability_coalescence_data.zip" contains the analysed coalescence data as .avi and the images of the time stability and coalescence analysed for CBM-AQ12-CBM. The folder "Microscopy_data.zip" contains the microscopy images. Please find more information in the read_me files uploaded.

Public reference library for edible dormouse calls

The acoustics of small mammals, particularly dormice species, are generally understudied. We explored the vocalisations and acoustic behaviour of the edible dormouse (Glis glis) in various environments in Catalonia (northern Iberian Peninsula) using ultrasound recorders between 2022 and 2023. Up to five different types of calls were identified in various environmental conditions (captivity and free-ranging animals) and developmental stages, from pups to adults. Additionally, one new call type was described, highlighting the plasticity of their vocalisations, and ultrasonic sound production was discovered in pups, suggesting ontogenetic changes in the vocal repertoire. With this project, we emphasise the potential of the acoustic method as a non-invasive tool for studying ecological behaviours and interactions, or early detection of the species in the natural environment. We, hereby, provide an open reference library for edible dormouse calls, laying the groundwork for a better understanding of its acoustics, behaviour and conservation. The compilation provides five clean sequences of high quality for each of the five call types recorded under different environmental conditions (totalling 35 recordings). This includes the chirp (captivity and wild), blow (captivity), aggressive call (captivity and wild), pups during manipulation (wild) and free-ranging pups (wild). The collection of sounds was prepared under the Dormouse Project (<a href="http://www.dormice.org/" target="_blank" rel="noopener">www.dormice.org</a>) This work was supported by the Barcelona Zoo Fundation under the Research and Conservation Program Grant; Generalitat de Catalunya under Grant number ARD264/23/000001; and Diputació de Barcelona under Grant number 2023/0005732.

Data S1. Scientific Publication Data

This dataset contains the number of scientific publications about mangroves in the thirteen most mangrove-rich countries and worldwide, by year, from 1975 to 2023.

opencc-zeroFeb 2023View details →

Public schools in New Orleans by topic

I did some rudimentary investigations of public schools in New Orleans after extracting sets of documents on given topics, namely: black, charter, new, schools, and teachers. Below is an introduction to what I found.

DATASET Estimating the Use of ChatGPT in Dental Research Publications

These files contain the data and the research script for analyzing the use of ChatGPT in dental research writing from 2018 to 2024. The dataset includes various CSV files with publication details and analysis scripts to investigate trends and patterns in the usage of specific signaling words associated with ChatGPT.

3D Laser Scanning Data: Public Square in Murcia and Engineering Laboratory at the University of Alicante

This dataset includes 3D terrestrial laser scans obtained using the Leica C10 ScanStation. The data covers two distinct scenarios: <ol> <li> Public Square in Murcia Capital: This dataset includes two scan positions within a public square located in Murcia. Three HDTarget markers were placed, and their center or vertex coordinates are provided in the accompanying _vertices.txt file. The scans were conducted with the laser scanner leveled, but they are not registered. </li> <li> Engineering Laboratory at the University of Alicante: This dataset consists of two scans of the Ground Engineering Laboratory at the University of Alicante. The scans were conducted with the same leveled laser scanner, and no targets were used. Between the two scans, some elements in the laboratory were slightly moved, which can be identified by comparing the point clouds. </li> </ol>

Data on the occurrence of Vibrio spp. of public health importance (i.e. Vibrio parahaemolyticus, Vibrio vulnificus, and Vibrio cholerae non-O1/non-O139) in seafood in European countries (Jan 2010-Sept 2023)

This file contains data on  the occurrence of Vibrio spp. of public health importance (i.e. Vibrio parahaemolyticus, Vibrio vulnificus, and Vibrio cholerae non-O1/non-O139) in seafood produced and/or commercialized in Europe, covering studies published between January 2010 and September 2023. The systematic review protocol used to identify and extract the information is available at <a href="../doi/10.5281/zenodo.10282513">https://zenodo.org/doi/10.5281/zenodo.10282513</a> .

Dataset for the publication: Impact of unintentionally formed CH2O in oxygenated fuel exhausts on DeNOx-SCR at different NO2/NOx ratios under close to real conditions

The dataset covers the research data of the publication in Catalysis Science & Technology with the title "Impact of unintentionally formed CH2O in oxygenated fuel exhausts on DeNOx-SCR at different NO2/NOx ratios under close to real conditions" (DOI: 10.1039/d2cy01935c).

opencc-by-nc-sa-2.0Jun 2024View details →

Muharaf-public

Manuscripts of Handwritten Arabic dataset (Muharaf) for cursive text recognition.  The following files are present in this repositoriy: <ol> <li><a href="../records/11492215/files/public_data_files.zip?download=1" target="_blank" rel="noopener">public_data_files.zip</a>: Contains the public part of Muharaf dataset. It has the images and the corresponding annotation files in JSON and XML format.</li> <li><a href="../records/11492215/files/public_line_images.zip?download=1" target="_blank" rel="noopener">public_line_images.zip</a>: Contains the line images and their corresponding transcriptions.</li> <li><a href="../records/11492215/files/public_summary_and_keywords.zip?download=1" target="_blank" rel="noopener">public_summary_and_keywords.zip</a>: Contains the summary and keywords extracted from the ground truth transcriptions of each image.</li> <li><a href="../records/11492215/files/sfr_files.zip?download=1" target="_blank" rel="noopener">sfr_files.zip</a>: Contains the preprocessed files for the start_follow_read_arabic system for training the public part of Muharaf dataset.</li> <li><a href="../records/11492215/files/public_1100_untrained.zip?download=1" target="_blank" rel="noopener">public_1100_untrained.zip</a>: Contains an initiailized trial folder with 3 different random splits of (train, validation, test) to reproduce the experiments reported in the paper on Muharaf-public. </li> <li><a href="../records/11492215/files/public_1100_trained.zip?download=1" target="_blank" rel="noopener">public_1100_trained.zip</a>: Contains the results and models weights after training on Muharaf-public. It has results of three different random splits of (train, validation, test) sets.</li> <li><a href="../records/11492215/files/trial_15_untrained.zip?download=1" target="_blank" rel="noopener">trial_15_untrained.zip</a>: Contains an intialized trial folder with 3 different random splits of (train, validation, test) to reproduce the experiments reported in the paper on training all the files of Muharaf dataset (1500 training images). </li> <li><a href="../records/11492215/files/trial_15.zip?download=1" target="_blank" rel="noopener">trial_15.zip</a>: Contains the results and model weights after training on Muharaf. It has results of three different random splits of (train, validation, test) sets.</li> </ol>

iHelp public synthetic dataset - model training

This is the model training version of the iHelp public synthetic dataset that has been synthesized from primary and secondary data collected during the Medical University Plovdiv pilot implementing their cancer program. The difference from the parent dataset is that the mean pain in the third interval has been selected as the outcome to be predicted, and the dataset is split into input and output vectors for training, validation and testing. The dataset is described in the "iHelp public synthetic dataset - model training.docx" file.

Dataset for publication: "Exploring ORCID adoption and metadata presence in Spain's research landscape"

This dataset is for the publication "Exploring ORCID adoption and metadata presence in Spain's research landscape" and is composed of the following files: <ul> <li>norm_aff.tsv (2795x5) - Curated list of role titles</li> <li>openalex_all_spanish.csv (811062x4) - List of Spanish authors retrieved from OpenAlex</li> <li>orcid_affiliation.csv (377377x23) - Activity employment affiliation of Spanish ORCID records</li> <li>orcid_full_maps.csv (15182292x6)- Topic classification of Spanish ORCID records</li> <li>orcid_metrics.csv (226512x39) - Metadata availability in Spanish ORCID records</li> </ul>

Dataset: Carbon Revolution Public Limited Company (CREV) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

Dataset related to the publication "Anomalous radiative transfer in heterogeneous media"

This repository contains Monte Carlo results for anomalous light transport in a spherical geometry with homogeneous (<code>Hom</code>), heterogeneous layered (<code>Lay</code>), and homogeneous layered (<code>VHom</code>) configurations. Part of these data is described in the publication: F. Tommasi et al. "Anomalous radiative transfer in heterogeneous media" Advanced Theory and Simulations (2024) <a href="https://doi.org/10.1002/adts.202400182">https://doi.org/10.1002/adts.202400182</a> Data is organized in two types of csv files: <ul> <li><code>filename.csv</code> containing information on the average path length and total path length distribution</li> <li><code>filename_Fluence.csv</code> containing information on the fluence rate and radiance at each spherical layer boundary</li> </ul> Filenames contain information on the simulation parameters used: <table> <tbody> <tr> <td><code>ISO</code></td> <td>isotropic scattering</td> </tr> <tr> <td><code>K0_X</code></td> <td>value of the k coefficient of the Generalized Pareto Distribution used in the Monte Carlo simulation (<code>X</code> = 0.3 or 0.7)</td> </tr> <tr> <td><code>1e7</code></td> <td>number of total trajectories considered</td> </tr> <tr> <td><code>DS</code>, <code>noDS</code></td> <td>simulation performed used the proposed set of rules for anomalous transport in bounded media (<code>DS</code>) or with the standard set of rules (<code>noDS</code>).</td> </tr> <tr> <td><code>Hom</code></td> <td>homogeneous sphere configuration</td> </tr> <tr> <td><code>NLay</code></td> <td>number of layers used in the layered configurations</td> </tr> <tr> <td><code>mism, no_mism</code></td> <td>configuration with (<code>mism</code>) or without (<code>no_mism</code>) refractive index mismatch with the environment or between layers</td> </tr> <tr> <td><code>Vhom_layN</code></td> <td>layered homogeneous sphere configuration with N layers</td> </tr> <tr> <td><code>mus_const</code>, <code>mus_step</code></td> <td>simulations performed using a constant scattering coefficient (<code>mus_const</code>) or different values across different layers (<code>mus_step</code>)</td> </tr> </tbody> </table>   The header of each output file contains general information on the simulation settings as detailed below: <ul> <li>The number of layers</li> <li>The radius of each layer</li> <li>The refractive index of each layer and of the external region</li> <li>The critical angle for entering and exiting the sphere</li> <li>Reduced scattering coefficient of each layer</li> <li>Scattering function</li> <li>Type of illumination source</li> <li>Absorption coefficient of the sphere</li> </ul> Simulations for different scattering strengths are classified based on the optical thickness <code>Taud</code> of the sphere, corresponding to the product between the sphere diameter (10 mm) and the reduced scattering coefficient. Since we have results only for isotropic scattering, <code>Taud</code> is also the product of diameter and scattering coefficient. For a layered sphere, <code>Taud</code> is given by the sum of the products between the scattering coefficient and radial thickness of each layer. The symbol <code>Taua</code> is also used to denote the product between the sphere and the absorption coefficient. Since we have considered only non-absorbing media, this value is always zero. Each simulation is carried out for different values of the reduced scattering coefficient in the layers, keeping their reciprocal ratios fixed, resulting in the following values of Taud: 1E-3, 2E-3, 5E-3, 1E-2, 2E-2, 5E-2, 1E-1, 2E-1, 5E-1, 1, 2, 5, 10, 20, 50, 100, which, in the case of the homogeneous sphere, correspond to reduced scattering coefficients comprised between 1E-4 and 10. The standard error (<code>SE</code>) is also provided, based on the results of 100 independent simulations with 1E5 trajectories each, for a total of 1E7 total trajectories considered. <h3>Structure of the pathlength files (<code>filename.csv</code>)</h3> List of content for the calculated quantities shown: <ul> <li><code>Ksc_Max</code>: maximum number of scattering events in the medium</li> <li><code>de_max(mm)</code>: maximum pathlength followed by photons</li> <li>Number of Photons lost (always zero, all trajectories are collected)</li> <li>Total CW Exiting Radiation and Standard Error (SE)</li> <li>Mean Pathlength for Total Exiting Radiation and SE</li> <li>Solutions of the RTE for the non-absorbing sphere with Lambertian illumination given in terms of the mean pathlength in the sphere and partial pathlength in each layer</li> <li>Partial Mean Pathlengths for in each layer for the non-absorbing case</li> <li>Standard Error on Partial Mean Pathlengths in each layer</li> <li>Discrepancy and SE for the Pathlengths for the non-absorbing case</li> <li>Relative SE is shown for the Partial Mean Pathlengths in the non-absorbing case </li> <li>Total Spread Function (mm-1) versus the pathlength of emerging photons l (mm) for each Taud value</li> </ul> <h3>Structure of the fluence files (<code>filename_Fluence.csv</code>)</h3> List of content for the calculated quantities shown: <ul> <li>Mean pathlength and partial pathlength</li> <li>CW fluence at each layer boundary</li> <li><code>SE</code>: standard error for the CW fluence</li> <li>Discrepancy and SE of the CW fluence with respect to the expected value from the invariance properties. This is reported for each layer interface</li> <li>Relative Error of the CW fluence</li> <li><code>CW FLUX_P</code> at each layer boundary</li> <li>Distribution of CW radiance at each layer boundary for all <code>Taud</code> values. The distribution expected from the invariance property is also listed in the columns adjacent to the Monte Carlo results. Radiance data is reported as a function of the angle at each layer boundary</li> </ul> Additional empty fields in the files refer to output quantities that can be optionally calculated during the simulations. These options were not selected for this study. For convenience, we list below which files were used to prepare each Figure (some files are used multiple times for different Figures): <h3>Figure 2</h3> <code>Hom/ISO_Hom_mism_k0_3_1e7_DS.csv</code> <code>Hom/ISO_Hom_mism_k0_3_1e7_noDS.csv</code> <code>Hom/ISO_Hom_mism_k0_7_1e7_DS.csv</code> <code>Hom/ISO_Hom_mism_k0_7_1e7_noDS.csv</code> <code>Lay/ISO_4Lay_mus_const_k0_3_1e7_DS.csv</code> <code>Lay/ISO_4Lay_mus_const_k0_3_1e7_noDS.csv</code> <code>Lay/ISO_4Lay_mus_const_k0_7_1e7_DS.csv</code> <code>Lay/ISO_4Lay_mus_const_k0_7_1e7_noDS.csv</code> <code>Lay/ISO_4Lay_mus_step_k0_3_1e7_DS.csv</code> <code>Lay/ISO_4Lay_mus_step_k0_3_1e7_noDS.csv</code> <code>Lay/ISO_4Lay_mus_step_k0_7_1e7_DS.csv</code> <code>Lay/ISO_4Lay_mus_step_k0_7_1e7_noDS.csv</code> <h3>Figure 3</h3> <code>Lay/ISO_10lay_mism_k0_3_1e7_DS_Fluence.csv</code> <code>Lay/ISO_10lay_mism_k0_3_1e7_noDS_Fluence.csv</code> <code>Lay/ISO_10lay_mism_k0_7_1e7_DS_Fluence.csv</code> <code>Lay/ISO_10lay_mism_k0_7_1e7_noDS_Fluence.csv</code> <h3>Figure 4</h3> <code>Hom/ISO_Hom_no_mism_k0_3_1e7_DS.csv</code> <code>Hom/ISO_Hom_no_mism_k0_3_1e7_noDS.csv</code> <code>Hom/ISO_Hom_no_mism_k0_7_1e7_DS.csv</code> <code>Hom/ISO_Hom_no_mism_k0_7_1e7_noDS.csv</code> <code>Hom/ISO_Hom_mism_k0_3_1e7_DS.csv</code> <code>Hom/ISO_Hom_mism_k0_3_1e7_noDS.csv</code> <code>Hom/ISO_Hom_mism_k0_7_1e7_DS.csv</code> <code>Hom/ISO_Hom_mism_k0_7_1e7_noDS.csv</code> <h3>Figure 5</h3> <code>Hom/ISO_Hom_mism_k0_7_1e7_DS.csv</code> <code>VHom/ISO_Vhom_lay2_mism_k0_7_1e7_DS.csv</code> <code>VHom/ISO_Vhom_lay4_mism_k0_7_1e7_DS.csv</code> <code>VHom/ISO_Vhom_lay8_mism_k0_7_1e7_DS.csv</code> <code>VHom/ISO_Vhom_lay16_mism_k0_7_1e7_DS.csv</code>

Dataset: Vodafone Group Public Limited Company (VOD) Stock Performance

Dataset: SMX (Security Matters) Public Limited Company (SMXWW) Stock Performance

Dataset: SMX (Security Matters) Public Limited Company (SMX) Stock Performance