Find research datasets worth reusing

opencc-by-4.0Aug 2022View details →

Acceleration Research on Novel Photovoltaic Materials

Data and Simulation definiton file for SCAPS1D simulation that are the basis for figures 3-5 of publication DOI:10.1039/d2fd00085g, published in Faraday Discussions (2022) Device structure for the drift-diffusion simulation is:  metal back-contact/p-type absorber(1 micron)/n-type buffer layer (30nm)/i-ZnO(80nm)/n-type ZnO(100nm) No interface recombination and no back contact recombination is assumed.

opencc-by-4.0Aug 2022View details →

D1.2 Requirements and needs of scientific communities from ICT-based Research Infrastructures (Dataset)

A user survey was conducted between December 2020 and January 2021 gathering inputs from potential SLICES users from the research community. The survey was distributed among the research community to identify the technological domains, the use cases, the requirements and other expectations from the future users of the SLICES research infrastructure. This dataset contains the results of the survey; 226 people participated.

A dataset of global variations in directional solar radiation exposure for ocular research using the libRadtran radiative transfer model

Directional solar photon flux density has particular relevance to eye disease research (keratitis, cataract formation, macula degeneration) because ocular components (cornea, lens, retina) experience different exposures dependent on global location, structural geometry of the eye and human behaviour (Sliney, 1997). The human macula has a field of view of ~17°, or 0.06901537 sr (Strasburger, Rentschler & Jüttner, 2011) and its cone of exposure can be modelled at a range of global locations using a radiation transfer model to estimate different directions of irradiation. This dataset provides examples of spectral radiance within the macula field of vision, calculated with the radiative transfer model libRadtran v2.0.3 (Mayer & Kylling, 2005). Three data sets are provided at different latitudes without correction for spectral ocular transmission. Unless otherwise specified, all simulations were parametrized according to local meteorological condition (altitude, pressure, temperature) and atmospheric conditions on the simulated day (aerosol optical density, water column, O3 and NO2 concentrations). The model was parametrized for a subject looking northward toward the ground (-15° from horizon), at a height of 170 cm above the ground. For each simulation, a separate file is available for each condition (latitude, time, date, see below) that includes radiance at each wavelength. Radiance values are in mW m-2 nm-1 sr-1. The technique provides future opportunity to model global exposures of different ocular components to spectral solar irradiance using information on ocular transmission, local terrain, albedo and human behaviour in order to explore their relevance in epidemiological studies of age-related eye disease. For each simulation, a separate file is available for each condition (latitude, time, date, see below) that includes radiance at each wavelength. Radiance values are in mW m-2 nm-1 sr-1. The technique provides future opportunity to model global exposures of different ocular components to spectral solar irradiance using information on ocular transmission, local terrain, albedo and human behaviour in order to explore their relevance in epidemiological studies of age-related eye disease. Simulation 1: This data set reports the spectral radiance from 250 - 500 nm at: <ul> <li>3 latitudes (61.0: Southern Finland, 50.1 Northern France, 38.0: Central Spain).</li> <li>4 dates (April 17th, July 1st, September 1st, November 6th 2019).</li> <li>24 hours.</li> <li>8 cardinal directions (every 45° from North).</li> <li>2 aerosol optical densities (0.1 and 2.5).</li> </ul> Simulation 2: This data set reports the spectral radiance from 250 - 2,500 nm at: <ul> <li>3 latitudes (61.0: Southern Finland, 50.1 Northern France, 38.0: Central Spain).</li> <li>4 dates (April 17th, July 1st, September 1st, November 6th 2019).</li> <li>24 hours.</li> <li>1 cardinal direction (North).</li> <li>2 aerosol optical densities (0.1 and 2.5).</li> </ul> Simulation 3: This data set reports the spectral radiance from 250 - 500 nm at: <ul> <li>1 latitude (61.0: Southern Finland).</li> <li>4 dates (April 17th, July 1st, September 1st, November 6th 2019).</li> <li>24 hours.</li> <li>9 cardinal directions (every 40° from North).</li> <li>3 bidirectional reflectance distribution functions for the ground (forest, urban, snow).</li> <li>2 tilt angles for the eye direction (0° from horizon or -15° from horizon, toward the ground).</li> </ul>

The dataset for publication "Characterization of scintillating materials in use for brachytherapy fiber based dosimeters" by S. Commeti, et al., Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2022.

This dataset is related to paper journal paper with DOI: <a href="http://dx.doi.org/10.1016/j.nima.2022.167083">10.1016/j.nima.2022.167083</a>. The dataset contains raw txt file and matlab files on the transmittance and the attenuation of Gadox and YVO specimens.  Data files were prepared by agnieszka.gierej@vub.be

opencc-by-4.0Jun 2022View details →

Impact of Software Engineering Research in Practice: A Patent and Author Survey Analysis

Dataset of the research paper: Impact of Software Engineering Research in Practice: A Patent and Author Survey Analysis Existing work on the practical impact of software engineering (SE) research examines industrial relevance rather than adoption of study results, hence the question of how results have been practically applied remains open. To answer this and investigate the outcomes of impactful research, we performed a quantitative and qualitative analysis of 4 354 SE patents citing 1 690 SE papers published in four leading SE venues between 1975–2017. Moreover, we conducted a survey on 475 authors of 593 top-cited and awarded publications, achieving 26% response rate. Overall, researchers have equipped practitioners with various tools, processes, and methods, and improved many existing products. SE practice values knowledge-seeking research and is impacted by diverse cross-disciplinary SE areas. Practitioner-oriented publication venues appear more impactful than researcher-oriented ones, while industry-related tracks in conferences could enhance their impact. Some research works did not reach a wide footprint due to limited funding resources or unfavorable cost-benefit trade-off of the proposed solutions. The need for higher SE research funding could be corroborated through a dedicated empirical study. In general, the assessment of impact is subject to its definition. Therefore, academia and industry could jointly agree on a formal description to set a common ground for subsequent research on the topic. The following data files are included. <ul> <li>./fields: <ul> <li>engi-fields.csv: Publication and PhD dissertation counts of main engineering branches</li> <li>engi-fields-queries.txt: Queries applied to Elsevier's Scopus and Open Access Theses and Dissertations databases to retrieve the publication and dissertation counts</li> </ul> </li> <li>./patents: <ul> <li>sample-se-references-verified.csv: Manual verification of a random sample of references by software engineering (SE) patents to SE papers</li> <li>se-cpc.tsv: Manually-identified SE-related Cooperative Patent Classification (CPC) categories</li> <li>se-references-in-patents.csv: SE references made by SE patents to SE papers</li> <li>./patents/litigation: <ul> <li>case-values.csv: Manually-retrieved litigation damages of citing SE patents</li> <li>lit-per-paper.csv: Litigation cases of citing SE patents</li> </ul> </li> <li>./patents/maintenance: <ul> <li>maint-code-fee-mapping.csv: Mapping of patent maintenance fee codes to their fee values</li> <li>maint-fees.csv: Fee values of maintenance fee codes</li> <li>maint-per-paper.csv: Maintenance fee events of citing SE patents</li> </ul> </li> <li>./patents/reports: <ul> <li>lit-sum-per-paper.csv: Counts and total damages of litigation cases of patent-cited SE papers</li> <li>maint-sum-per-paper.csv: Counts and total values of maintenance fee events of patent-cited SE papers</li> <li>patent-ref-counts.csv: SE patent citation counts of patent-cited SE papers</li> </ul> </li> </ul> </li> <li>./survey: <ul> <li>emse-top.csv: Most-cited papers of the Empirical Software Engineering (EMSE) journal</li> <li>icse-bp.csv: Distinguished papers of the International Conference of Software Engineering (ICSE)</li> <li>icse-mip.csv: Most influential ICSE papers</li> <li>icse-top.csv: Most-cited ICSE papers</li> <li>survey-questionnaire-emse.pdf: The EMSE survey questionnaire</li> <li>survey-questionnaire.pdf: The ICSE, TSE, and TOSEM survey questionnaire</li> <li>survey-responses.csv: The anonymized survey responses</li> <li>tosem-top.csv: Most-cited papers of the ACM Transactions on Software Engineering and Methodology (TOSEM)</li> <li>tse-top.csv: Most-cited papers of the IEEE Transactions on Software Engineering (TSE)</li> <li>./survey/manual-coding: <ul> <li>feedback.txt: Manual coding of survey feedback</li> <li>practical-impact.csv: Manual coding of responses about practical impact of work</li> <li>practical-impact-lack.csv: Manual coding of responses about lack of practical impact</li> <li>research-methods.csv: Manual coding of additional research methods of surveyed papers</li> <li>state-of-practice.csv: Manual coding of responses about changes in state of practice</li> </ul> </li> </ul> </li> <li>./venues: <ul> <li>se-venues.csv: Top SE venues according to Google Scholar Metrics</li> <li>se-venues-impact.csv: SE patent citations and patent-based impact factors of SE venues</li> <li>se-venues-scopus-queries.txt: Queries applied to Scopus to retrieve the publication counts of the SE venues</li> </ul> </li> </ul>

Monitoring open access publishing of NWO funded research (2015-2021) data set

This is the dataset underlying the report "Monitoring open access publishing of NWO funded research"  (<a href="https://doi.org/10.5281/zenodo.7041897">https://doi.org/10.5281/zenodo.7041897</a>) The report presents statistics on the extent to which publications from the period 2015–2021 funded by NWO are available in Open Access. The analyses presented in this report also cover publications funded by the Netherlands Organisation for Health Research and Development ZonMw. This report builds on two earlier reports, published in <a href="https://zenodo.org/record/4446042">2020</a> and <a href="https://zenodo.org/record/5056043">2021</a>, covering publications from the period 2015–2018 and 2015-2020, respectively.

Human resources for research and innovation in Italy

Human resources play a crucial role in enabling research and innovation. Key players include university students, PhD and master graduates, researchers holding a European grant supporting excellent researchers in carrying out ground-breaking, high-risk, high-gain, frontier research projects, entrepreneurs engaged in spin-offs, startups or innovation project supported by Horizon 2020 SME instrument grants. Data is generally available, but often it is not easy to use due to different formats and vocabularies and the variety of geographical references (city names, province, region or zip codes). This file collection is part of ongoing research work carried out by the sustainability unit at Area Science Park. Data is collected from a variety of open sources, curated and prepared for further analysis. The focus is on Italy; geographical references use EUROSTAT NUTS-2 and NUTS-3 taxonomy. Data available:  <ul> <li>Maps of NUTS2 and NUTS2 regions in Italy</li> <li>NUTS2 and NUTS3 names in Italian</li> <li>Universities </li> <li>Phd and Masters graduates since 2010</li> <li>University spin-offs </li> <li>Innovative Startups</li> <li>Horizon 2020 grants for researchers: "Marie Skłodowska Curie" and "European Research Council"</li> <li>Horizon 2020 grants "SME instrument"</li> </ul> Python scripts for data preparation are available in script.zip; development version is available on <a href="https://gitlab.com/area-science-park-sustainability/it_regional_innovation">this GitLab repository</a> Some examples of visual representation of the data are available in .pdf format and as <a href="https://app.powerbi.com/view?r=eyJrIjoiMWMyMjA1OWQtMzJmNi00NWJmLTk1OTctMzczZWUxYjYzYzFmIiwidCI6ImQ0YWFmY2E2LWJmMzUtNDUxNS1iMDZhLTQ5NzNjZGZiYmVkMyIsImMiOjh9&pageName=ReportSection3090d63ae7727ef701e8">online interactive visualization report.</a>

Quantitative Representativeness and Constituency of the Long-Term Agroecosystem Research Network

Data Description: The USDA Long-Term Agroecosystem Research (LTAR) Network coordinates agricultural research across 18 research sites in the conterminous United States (CONUS). However, it is unclear how well these sites represent the totality of agricultural working lands within the CONUS. Therefore, we performed a quantitative analysis of the 18 sites, based on 15 climatic and edaphic characteristics, to produce maps of representativeness and constituency across the CONUS. Representativeness shows how well the combination of environmental drivers at each CONUS location was represented by the LTAR sites’ environments, while constituency shows which LTAR site was the closest match for each location. Files in collection (22): Collection contains 11 geospatial rasters and 11 PNGs visualizing them. TIF files: ├── conus_ltar_constituency_workinglands.tif                            [Constituency of LTAR network] ├── conus_ltar_representativeness_workinglands.tif                  [Representativeness of LTAR network] ├── conus_ltar_v5.pc1.tif                                                             [Principal Component 1] ├── conus_ltar_v5.pc2.tif                                                             [Principal Component 2] ├── conus_ltar_v5.pc3.tif                                                             [Principal Component 3] ├── conus_ltar_v5.pc4.tif                                                             [Principal Component 4] ├── conus_ltar_v5.pc5.tif                                                             [Principal Component 5] ├── conus_ltar_v5.pc6.tif                                                             [Principal Component 6] ├── conus_ltar_v5.pc7.tif                                                             [Principal Component 7] ├── LTAR_NEON_LTER_bestnetwork_workinglands.tif              [Raster identifying best network, among LTAR, NEON, LTER, representing the location] └── LTAR_NEON_LTER_representativeness_workinglands.tif   [Representativeness of combined LTAR + NEON + LTER networks] PNG files: ├── conus_ltar_constituency_workinglands.png                            [Constituency of LTAR network] ├── conus_ltar_representativeness_workinglands.png                  [Representativeness of LTAR network] ├── conus_ltar_v5.pc1.png                                                             [Principal Component 1] ├── conus_ltar_v5.pc2.png                                                             [Principal Component 2] ├── conus_ltar_v5.pc3.png                                                             [Principal Component 3] ├── conus_ltar_v5.pc4.png                                                             [Principal Component 4] ├── conus_ltar_v5.pc5.png                                                             [Principal Component 5] ├── conus_ltar_v5.pc6.png                                                             [Principal Component 6] ├── conus_ltar_v5.pc7.png                                                             [Principal Component 7] ├── LTAR_NEON_LTER_bestnetwork_workinglands.png              [Raster identifying best network, among LTAR, NEON, LTER, representing the location] └── LTAR_NEON_LTER_representativeness_workinglands.png   [Representativeness of combined LTAR + NEON + LTER networks] Data format: Geospatial files are provided in Geotiff format in Lat/Lon WGS84 EPSG: 4326 projection at 30 arc second resolution, while the geospatial visualizations are provided in PNG format. Geospatial projection:  <pre><code class="language-bash">GEOGCS["GCS_WGS_1984", DATUM["D_WGS_1984", SPHEROID["WGS_1984",6378137,298.257223563]], PRIMEM["Greenwich",0], UNIT["Degree",0.017453292519943295]] (base) [jbk@theseus ltar_regionalization]$ g.proj -w GEOGCS["wgs84", DATUM["WGS_1984", SPHEROID["WGS_1984",6378137,298.257223563]], PRIMEM["Greenwich",0], UNIT["degree",0.0174532925199433]] </code></pre> Category labels for Constituency data: <table> <caption> </caption> <thead> <tr> <th scope="col">Cat</th> <th scope="col">LTAR Siite</th> </tr> </thead> <tbody> <tr> <td>1</td> <td>Archbold-University of Florida</td> </tr> <tr> <td>2</td> <td>Central Mississippi River Basin</td> </tr> <tr> <td>3</td> <td>Central Plains Experimental Range</td> </tr> <tr> <td>4</td> <td>Eastern Corn Belt</td> </tr> <tr> <td>5</td> <td>Great Basin</td> </tr> <tr> <td>6</td> <td>Gulf Atlantic Coastal Plain</td> </tr> <tr> <td>7</td> <td>Jornada Experimental Range</td> </tr> <tr> <td>8</td> <td>Kellogg Biological Station</td> </tr> <tr> <td>9</td> <td>Lower Chesapeake Bay</td> </tr> <tr> <td>10</td> <td>Lower Mississippi River Basin</td> </tr> <tr> <td>11</td> <td>Northern Plains</td> </tr> <tr> <td>12</td> <td>Platte River High Plains Aquifer</td> </tr> <tr> <td>13</td> <td>R.J. Cook Agronomy Farm</td> </tr> <tr> <td>14</td> <td>Southern Plains</td> </tr> <tr> <td>15</td> <td>Texas Gulf</td> </tr> <tr> <td>16</td> <td>Upper Chesapeake Bay</td> </tr> <tr> <td>17</td> <td>Upper Mississippi River Basin</td> </tr> <tr> <td>18</td> <td>Walnut Gulch Experimental Watershed</td> </tr> </tbody> </table> Paper describing data and methods: Kumar, J., Coffin, A. W., Baffaut, C., Ponce-Campos, G. E., Witthaus, L., & Hargrove, W. W. (2023). Quantitative Representativeness and Constituency of the Long-Term Agroecosystem Research Network and Analysis of Complementarity with Existing Ecological Networks. In Environmental Management. Springer Science and Business Media LLC. https://doi.org/10.1007/s00267-023-01834-9

opencc-by-4.0Oct 2013View details →

Supplementary material 2 from: Bayliss H, Stewart G, Wilcox A, Randall N (2013) A perceived gap between invasive species research and stakeholder priorities. NeoBiota 19: 67-82. https://doi.org/10.3897/neobiota.19.4897

Journal article classifications (doi: 10.3897/neobiota.19.4897.app2) File format: Comma Separated Value File (csv).:

opencc-by-4.0Oct 2013View details →

Supplementary material 1 from: Bayliss H, Stewart G, Wilcox A, Randall N (2013) A perceived gap between invasive species research and stakeholder priorities. NeoBiota 19: 67-82. https://doi.org/10.3897/neobiota.19.4897

Stakeholder priorities. (doi: 10.3897/neobiota.19.4897.app1) File format: Micrisoft Comma Separated Value File (csv).:

opencc-by-4.0Nov 2017View details →

Polidoc.net CODEBOOK: National and Regional Manifestos and other Political Documents Collected for the Research Projects "Representation in Europe: Congruence between Preferences of Elites and Voters" (REPCONG) and "The Impact of EU Cohesion Policy on European Identification" (COHESIFY)

The Political Documents Archive http://www.polidoc.net/ contains election manifestos, coalition agreements, government declarations and various other documents of political actors from developed democracies. Currently, the archive builds on a stock of more than 3000 political documents from 20 European countries. The aim of the repository is to provide political texts in order to facilitate scholarly research in different areas of comparative politics such as party competition, coalition politics, legislative decision-making or electoral behavior. National electoral manifestos have been collected in the course of the REPCONG project ("Representation in Europe: Policy Congruence between Citizens and Elites"), and the archive includes party manifestos for regional elections in several European democracies. Because the process of European integration resulted in a strengthening of regions in EU member states and in countries that want to join the European Union, the relevance of the regional level for political decision-making has increased during the last decades. Therefore, also the policy profiles of regional parties are required to get a full picture of democratic responsiveness in European states across all levels of the political system. The collection of regional manifestos was supported by the COHESIFY project (www.cohesify.eu), funded under the Horizon 2020 Framework Programme for Research and Innovation. The aim of COHESIFY is to study whether the European Structural and Investment Funds affect people’s support for and identification with the European project. The archive is freely accessible (after a simple registration) and meant to foster rigorous research in these areas by enabling scholars to produce valid and reliable findings from empirical studies of textual data rather than unnecessarily struggling to obtain and process texts.

opencc-by-4.0Jan 2018View details →

Research Data Life Cycle

Visual description of an ideal research data life cycle, including traditional elements (dark blue), data reuse elements (light blue) and dissemination/sharing/publication elements (light red). Inspired by: Ruegg et al, Completing the data life cycle: using information management in macrosystems ecology research, Front Ecol Environ 2014; 12(1): 24–30, doi:10.1890/120375

opencc-by-4.0Apr 2024View details →

Dataset for "AGU Publications updates authorship policy to foster better equity and transparency in global research collaboration"

Dataset supporting "AGU Publications updates authorship policy to foster better equity and transparency in global research collaboration."  This file provides summary data for new submissions for "Global Biogeochemical Cycles" (GBC) and "Journal of Geophysical Research: Biogeosciences" (JGR: Biogeo) from 2012 through 2023 including International Collaboration Status (whether more than one country was represented on the author list), Research4Life Author Status (whether any author was from a country on the Research4Life eligibility list [https://www.research4life.org/access/eligibility/]), and Research4Life Abstract Status (whether the submission abstract referenced a country on the Research4Life eligibility list).  Summary data for all AGU journals combined are provided for years 2012 and 2023, including whether more than one country was represented by the author list and whether any author was from a country on the Research4Life eligibility list.  Summary data are presented in compliance with AGU's Privacy Policy, https://www.agu.org/Privacy-Policy

opencc-by-4.0Apr 2024View details →

Grand Bay National Estuarine Research Reserve Seagrass Survey Data (2005 - 2010)

Seagrass beds at the Grand Bay National Estuarine Research Reserve were surveyed using a transect method, twice a year at five sites. Details of the transect location and methods are described in the following: https://www.jstor.org/stable/26367667

Joint AstraZeneca-Cancer Research Horizons Functional Genomics Centre's CRISPRn library benchmark screens: gRNA counts and associated metadata

Genome-wide CRISPR sgRNA libraries have emerged as transformative tools to systematically probe gene function. While these libraries have been iterated over time to be more efficient, their large size limits their use in some applications. Here, we benchmarked publicly available genome-wide single-targeting sgRNA libraries and evaluated dual targeting as a strategy for pooled CRISPR loss-of-function screens. We leveraged this data to design two minimal genome-wide human CRISPR-Cas9 libraries that are 50% smaller than other libraries and that preserve specificity and sensitivity, thus enabling broader deployment at scale.

opencc-by-4.0Feb 2024View details →

Research compendium for 'A pre-Campanian Ignimbrite techno-cultural shift in the Aurignacian sequence of Grotta di Castelcivita, southern Italy'

<h2>Research compendium for 'A pre-Campanian Ignimbrite techno-cultural shift in the Aurignacian sequence of Grotta di Castelcivita, southern Italy' </h2> Compendium DOI:  <a href="https://doi.org/10.5281/zenodo.10639553">https://doi.org/</a><a href="../doi/10.5281/zenodo.10639552">10.5281/zenodo.10639552</a> The content available at the above provided URL will reproduce the results as documented in the first paper's submission. Instead, the files hosted at <a href="https://github.com/ArmandoFalcucci/Castelcivita-Aur-Techno">https://github.com/ArmandoFalcucci/Castelcivita-Aur-Techno</a> represent the developmental versions and might have undergone modifications since the paper's publication. Maintainer of this repository: Armando Falcucci (<a href="mailto:armando.falcucci@uni-tuebingen.de">armando.falcucci@uni-tuebingen.de</a>; <a href="https://orcid.org/0000-0002-3255-1005">https://orcid.org/0000-0002-3255-1005</a>)  Published paper: Armando Falcucci, Simona Arrighi, Vincenzo Spagnolo, Matteo Rossini, Owen Higgins, Brunella Muttillo, Ivan Martini, Jacopo Crezzini, Francesco Boschin, Annamaria Ronchitelli, Adriana Moroni. A pre-Campanian Ignimbrite techno-cultural shift in the Aurignacian sequence of Grotta di Castelcivita, southern Italy. Scientific Reports, 14: 12783. doi:10.1038/s41598-024-59896-6 (2024) Abstract: The Aurignacian is the first European technocomplex assigned to Homo sapiens recognized across a wide geographic extent. Although archaeologists have identified marked chrono-cultural shifts within the Aurignacian mostly by examining the techno-typological variations of stone and osseous tools, unraveling the underlying processes driving these changes remains a significant scientific challenge. Scholars have, for instance, hypothesized that the Campanian Ignimbrite (CI) super-eruption and the climatic deterioration associated with the onset of Heinrich Event 4 had a substantial impact on European foraging groups. The technological shift from the Protoaurignacian to the Early Aurignacian is regarded as an archaeological manifestation of adaptation to changing environments. However, some of the most crucial regions and stratigraphic sequences for testing these scenarios have been overlooked. In this study, we delve into the high-resolution stratigraphic sequence of Grotta di Castelcivita in southern Italy. Here, the Uluzzian is followed by three Aurignacian layers, sealed by the eruptive units of the CI. Employing a comprehensive range of quantitative methods—encompassing attribute analysis, 3D model analysis, and geometric morphometrics—we demonstrate that the key technological feature commonly associated with the Early Aurignacian developed well before the deposition of the CI tephra. Our study provides thus the first direct evidence that the volcanic super-eruption played no role in this cultural process. Furthermore, we show that local paleo-environmental proxies do not correlate with the identified patterns of cultural continuity and discontinuity. Consequently, we propose alternative research paths to explore the role of demography and regional trajectories in the development of the Upper Paleolithic. Keywords: Early Upper Paleolithic; Italy; Aurignacian; lithic technology; geometric morphometrics; 3D model analysis; cultural evolution; human-environment interaction; open science. Overview of contents and how to reproduce: Within this repository, various folders house data (<code>data</code>), code (<code>script</code>), and output files (<code>output</code>) pertinent to the paper. The data folder encompasses the complete dataset, the core dataset, and 2D outline coordinates utilized for the geometric morphometrics study. To replicate the results, download the entire repository and employ <code>Castelcivita-Aur-Techno.Rproj</code> and open the folder <code>script</code>, following the numbered folder structure. For ensuring reproducibility, the <code>renv</code> package (v. 1.0.3) was utilized, following the procedures detailed in its vignette. All analyses and visualizations in the paper were conducted using R 4.3.1 on Microsoft Windows 10.0.19045 (64-bit). As the necessary packages are available in the <code>renv</code> folder, they are not explicitly listed here. Licenses: Code: MIT (<a href="http://opensource.org/licenses/MIT">http://opensource.org/licenses/MIT),</a> copyright holder: Armando Falcucci (2024). Data and intellectual work: Creative Commons Attribution 4.0 International License (<a href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</a>), copyright holder: the authors (2024).

Results: Towards Realistic SATD Identification Through Machine Learning Models: Ongoing Research and Preliminary Results

Automated identification of self-admitted technical debt (SATD) has been crucial for advancements in managing such debt.  However, state-of-the-arts studies often overlook chronological factors, leading to experiments that do not faithfully replicate the conditions developers face in their daily routines. This study initiates a chronological analysis of SATD identification through machine learning models, emphasizing the significance of temporal factors in automated SATD detection.  The research is in its preliminary phase, divided into two stages: evaluating model performance trained on historical data and tested in prospective contexts, and examining model generalization across various projects. Preliminary results reveal that the chronological factor can positively or negatively influence model performance and that some models are not sufficiently general when trained and tested on different projects.

Improving access to and reuse of research results, publications and data for scientific purposes - Stakeholders' consultations results

The data sets were created via data collection effort for the Horizon Europe-funded "study to evaluate the effects of the EU copyright framework on research and the effects of potential interventions and to identify and present relevant provisions for research in EU data and digital legislation, with a focus on rights and obligations". The study was contacted by DG RTD.  This research project supports Action 2 objectives of the European Research Area (ERA) Policy Agenda 2022-2024, which aims to propose an EU legislative and regulatory framework for copyright and data that is fit for research. The report provides a comprehensive analysis of barriers to the access and reuse of publicly funded research, including scientific publications and data. It assesses existing EU copyright legislation and EU data and digital legislation. It also assesses regulatory frameworks and national initiatives and identifies potential areas for improvement. Using a methodological, evidence-based approach (including the survey results posted in this repository), the study presents possible legislative and non-legislative measures to improve the current EU copyright and data framework and align it with the needs of scientific research and open research data principles.  The data sets include the raw data of the three surveys (survey 1 targeted at researchers, survey 2 targeted at research-performing organisations, and survey 3 targeted at publishers). All surveys have two major parts: one concerning copyright legislation and another concerning data and digital legislation. In addition, we provide interview notes, they are also organised into two parts: one concerning copyright legislation and another concerning data and digital legislation.  The data collection effort was partially supported by our colleagues from the Institute for Information Law (IVIR) and KU Leuven CiTIP.

Research data management in the German-speaking Sports Sciences - Survey on the Status Quo

The data set contains survey data on the status quo of research data management within the German-speaking sports science community. The survey was conducted as an online survey in the period from August 16th to September 30th, 2023.

3D models (NXS): Towards a spatial data repository for archaeological research in the Romanian Mostiștea Basin and Danube Valley

Spatial data are crucial in archaeological research, where orthophotos, digital elevation models, and 3D models are widely used for mapping, documenting, and monitoring archaeological sites. The introduction of affordable and compact unmanned aerial vehicles (UAVs) has significantly advanced the use of UAV-based photogrammetry in the past 20 years. Recently, compact airborne systems have also enabled the capture of thermal, multispectral, and aerial laser scanning data. This study presents the data acquired with different platforms and sensors at Chalcolithic archaeological sites in Romania's Mostiștea Basin and Danube Valley. Since laser scanning and photogrammetry generate large data volumes, data storage and dissemination must also be carefully considered. Based on a thorough study of system performance, data acquisition and processing methods, and data outputs, a workflow for the systematic mapping and documentation of sites has been proposed. Given the experience obtained in the last 5 summer campaigns (2018-2023), 19 sites have been accurately mapped, of which 5 sites are mapped using airborne laser scanning. 18 sites are documented using multispectral photogrammetry, and for 17 sites, interactive image-based 3D models are acquired using true-color photogrammetry. All data are stored on a publicly accessible website for visualization, as well as on an open-data platform for data exchange. For the multispectral data, a raster tile service has been implemented, allowing the use of the data in a GIS environment.