Find research datasets worth reusing

opencc-by-4.0Nov 2020View details →

MongoDB database dump for the analysis of the current sustainability state of research software

This data set is the MongoDB dump (bson files) of the data created and analyzed with the rsps framework. In the first step, a research subject is assigned to the research software repositories. Afterwards, the current sustainability state is evaluated. The data set comprises the following six bson files: repositories: metadata, received from the GitHub REST API, for repositories containing the search terms "doi+10" or "doi+10+in:readme", additional information are the request date, the contained search term, and the repository hosting service, in this case for all repositories "github". For repositories the Readme files are available. publications: metadata of publications, published on arXiv and ACM, that contain the search term "github.com". rs_repositories: research software candidates containing a DOI or that are referenced by the publications contained in the publications data set. rs_artifacts: research software artifacts that are referenced in the harvested GitHub repositories by a DOI and the harvested publications. publication_subjects: All Science Journal Classification (ASJC) of Scopus combined with the Scopus source list and Scopus book title list (https://www.scopus.com/home.uri) arxiv_subjects: arXiv taxonomy complemented with the ASJC research subject.

Fig. 1 in Current State, Anthropogenic Threats And Conservation Of The European Pond Turtle (Emys Orbiclularis) In Belarus

Fig. 1. Typical specimen of Emys orbicularis orbicularis from north-east part of the range in Belarus.

opencc-by-4.0Jun 2015View details →

Fig. 2. A in Current State of the Florida Entomological Society - 2014 FES Presidential Address -

Fig. 2. A strong correlation between Entomological Society of America (ESA) and Florida Entomological Society (FES) membership 1984–2013 (P <0.0001), with a significant correlation for the period 1984–1999 (P = 0.0256), and no correlation for the period 2000–2013 (P = 0.3551).

opencc-by-4.0Jul 2019View details →

Replication package for "Evolution of statistical analysis in empirical software engineering research: Current state and steps forward"

This is the replication package for the analysis done in the paper "Evolution of statistical analysis in empirical software engineering research: Current state and steps forward" (DOI: <a href="https://doi.org/10.1016/j.jss.2019.07.002">https://doi.org/10.1016/j.jss.2019.07.002</a>, preprint: <a href="https://arxiv.org/abs/1706.00933">https://arxiv.org/abs/1706.00933</a>). The package includes CSV files with data on statistical usage extracted from 5 journals in SE (EMSE, IST, JSS, TOSEM, TSE). The data was extracted from papers between 2001 - 2015. The package also contains forms, scripts and figures (generated using the scripts) used in the paper. The extraction tool mentioned in the paper is available in dockerhub via: <a href="https://hub.docker.com/r/robertfeldt/sept">https://hub.docker.com/r/robertfeldt/sept</a>

opencc-by-4.0Feb 2016View details →

Figures 7–8 in Current disposition of earwigflies, Merope tuber Newman and Austromerope poultoni Killington (Mecoptera: Meropeidae), in the Florida State Collection of Arthropods

Figures 7–8. SEM images of undescribed presumptive stridulatory or wing interlocking structures on male Austromerope poultoni, near Yornup, Western Australia, Australia, collected 11 November 2001. 7) Jugal lobe of right wing; ventral view. Image originally shot at 250x; scale bar = 100 μm. 8) Ridged surface of right metanotum; dorsal view. Image originally shot at 1200x; scale bar = 10 μm. Photographs by Louis A. Somma.

opencc-by-4.0Feb 2016View details →

Figures 4–6 in Current disposition of earwigflies, Merope tuber Newman and Austromerope poultoni Killington (Mecoptera: Meropeidae), in the Florida State Collection of Arthropods

Figures 4–6. SEM images of male meropeids. 4) Merope tuber Apalachicola Bluffs Preserve, Nature Conservancy, Liberty County, Florida, USA, collected 20 April–4 May 1996; anterodorsal view of distal tips of dististyles. Image originally shot at 130x; scale bar = 100 μm. 5) Austromerope poultoni near Yornup, Western Australia, Australia, collected 11 November 2001; dorsocaudal view of distal tip of right dististyle. Image originally shot at 330x; scale bar = 50 μm. 6) SEM image of undescribed sensila on flagellomeres of right antenna of Austromerope poultoni, near Yornup, Western Australia, Australia, collected 11 November 2001; dorsal view, lower left is distalmost. Image originally shot at 50x; scale bar = 500 μm. Photographs by Louis A. Somma.

opencc-by-4.0Feb 2016View details →

Figures 1–3 in Current disposition of earwigflies, Merope tuber Newman and Austromerope poultoni Killington (Mecoptera: Meropeidae), in the Florida State Collection of Arthropods

Figures 1–3. Dorsal views of adult meropeids. 1) Female Merope tuber, Cades Cove, Abrams Creek, Blount County, Tennessee, Great Smoky Mountains National Park, USA, collected 7–9 July 2003; wings unspread. Body length = 10.5 mm. Photograph by David Serrano. 2) Female Merope tuber, Ferguson Cabin, The Purchase, Haywood County, North Carolina, Great Smoky Mountains National Park, USA, collected 15–17 August 2003; wings spread. Body length = 11 mm. Photograph by David Serrano. 3) Male Austromerope poultoni, near Yornup, Western Australia, Australia, collected 11 November 2001; wings spread. Body length = 7.0 mm; basistyle length = 7.6 mm. Photograph by Louis A. Somma.

opencc-by-4.0May 2020View details →

The Current State and 125 Kyr History of Permafrost in the Kara Sea Shelf: Modeling Constraints

The database for modeling  the evolution of permafrost in the Kara shelf  for the past 125 kyr  presented in the manuscript  <a href="https://www.the-cryosphere-discuss.net/tc-2019-112/">https://www.the-cryosphere-discuss.net/tc-2019-112/</a>

opencc-by-4.0Aug 2022View details →

A global review of subaqueous spreading and its morphological and sedimentological characteristics: A database for highlighting the current state of the art

Subaqueous spreading, a type of extensional mass transport that is characterized by a ridge and trough morphology, has been documented globally but is poorly understood. Subaqueous spreading is observed on gently inclined surfaces (typically <3◦) when sediment bodies experience a sudden reduction of shear strength along their basal plane during clay softening or liquefaction of sands or silty sand sediment. Historically, spreading has been associated with very large landslides, but many unknown aspects of these mass movements have yet to be clarified. Does spreading influences the large catastrophic failure? What are the sedimentological and morphological aspects that contribute in initiating this process? These are some of the research questions that spurred the present work. Here, we introduce a database that incorporates information from thirty-two case studies, and use this to provide key insights into the sedimentary and morphological aspects of subaqueous spreading that will assist in the identification of spreading elsewhere. We find that subaqueous spreading is most common along passive glacial margins, but is also observed along active margins. The occurrence of contourites interlayered with glaciogenic deposits is, in most cases, associated with landslides (or landslide complexes) with spreading morphology. The database shows that seismic loading is commonly suggested to be the dominant trigger mechanism, although more geotechnical observations and modelling analysis would be needed to support this conclusion. We compare subaqueous spreading with terrestrial spreading, in particular to earthquake-related lateral spreading and clay landslides. We find that subaqueous spreading shares the same driving processes and potentially also some of the trigger mechanisms that are associated with the terrestrial spreading cases. Future work will be required to address the association between spreading and its occurrence on some of the largest landslides on Earth, its development mechanism, and its potential hazard implications.

opencc-by-4.0Jun 2024View details →

Current state of vulnerability handling from the perspective of software operators and developers: semi-structured interviews

This archive contains the transcripts of semi-structured interviews, conducted as part of the study "Leveraging Fine-grained Telemetry Data for the Detection and Prevention of Vulnerability Exploits" by Konrad Ponichtera and Sebastian Proksch. The goal of the interviews was to collect insights about the current state of vulnerability handling in the software engineering industry and identify improvement possibilities from the perspective of the system operator. The interviews have been conducted with ten software engineers with system administration/operation backgrounds, meaning that either they perform system administration/operation as part of their responsibilities, or used to do so in the past. Each participant has been assigned an identifier from P1 to P10. Their roles and industry experience have been disclosed in the attached CSV file with the questionnaire responses. <h1>Interview structure</h1> The interviews were conducted online, and transcribed to the text file, which was then reviewed and pseudonymized. Each interview took approximately one hour. During each interview, the participants were asked to look into a problem of system vulnerabilities from the perspective of a system operator, who can configure and monitor the infrastructure, as well as deploy the applications. The participants were also informed that the operator cannot modify the applications' source code and artifacts. Then the participants were asked seven open questions about the status quo of vulnerability handling in software engineering and its three aspects of awareness, impact, and mitigation. The interviewees responded in accordance with their knowledge and experience. Afterwards, the researcher guiding the session introduced the proposed system to the interviewees, by describing its goal and functionality. To avoid the moderator acceptance bias, we explained that the system was designed within the Software Engineering Research Group of Delft University of Technology. The mitigation of social desirability bias has been achieved by describing the actions taken by an imaginary operator named Albert. After going through the wireframes of the operator's dashboard interface and describing the content of each screen, the participants were asked to follow a supervised walkthrough, where they played the role of an operator. They were presented with a hypothetical situation, where a critical vulnerability, similar to the <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=cve-2021-44228" target="_blank" rel="noopener">Log4Shell</a> appears on the dashboard. During this part, the guiding researcher was streaming the window of a wireframe editor. The interviewees were then asked to follow a think-aloud protocol, and indicate their actions as they "use" the system. Meanwhile, the researcher made changes to the wireframes to simulate the effect of the participants' actions. After the walkthrough, participants filled out a System Usability Scale (SUS) questionnaire and were asked additional questions about the impact the proposed system would have on their vulnerability awareness, impact analysis, and mitigation capability. <h1>Files</h1> The archive contains three types of artifacts from the interview: pseudonymized transcripts, the questionnaire and the wireframes. <h2>Transcripts</h2> The transcripts directory contains ten text files with pseudonymized interview transcripts. In each file, the parts spoken by the interviewing researcher have been prepended with "R:", while the parts spoken by the interviewee have been prepended by the interviewee's identifier. <h2>Questionnaire</h2> The CSV file contains the answers participants gave at the start of the interview.  Each participant was asked to provide their current job title and how many years they worked in the software engineering industry. They were also asked to specify which DevOps tools and technologies they used, and what system operator tasks they had a chance to do during their career. The goal of these questions was to estabilsh the interviewee's system operation background. Finally, after the prototype walkthrough, participants filled out SUS questionnaires, the results of which are included in the PDF. <h2>Wireframes</h2> The wireframes directory contains diagrams in DrawIO format (also exported to PDF), used during the interview. The vision GUI wireframes were used to introduce participants to what the envisioned system would look like. The walkthrough wireframes were used during the semi-supervised walkthrough scenario, where the interviewing researcher modified them following the participants' actions.

Fig. 4 in Current State, Anthropogenic Threats And Conservation Of The European Pond Turtle (Emys Orbiclularis) In Belarus

Fig. 4. Nesting habitat of Emys orbicularis in the country.

Fig. 5 in Current State, Anthropogenic Threats And Conservation Of The European Pond Turtle (Emys Orbiclularis) In Belarus

Fig. 5. Cadaver of the female turtle on the country road.

Fig. 3 in Current State, Anthropogenic Threats And Conservation Of The European Pond Turtle (Emys Orbiclularis) In Belarus

Fig. 3. Water habitat of the European pond turtle in Belarus («National Park Pripiatskij»).

opencc-by-4.0Jun 2015View details →

Fig. 5 in Current State of the Florida Entomological Society - 2014 FES Presidential Address -

Fig. 5. Country origins of Florida Entomologist authors in 1993 and 2013

opencc-by-4.0Mar 2023View details →

Data release for the "First measurement of muon neutrino charged-current interactions on hydrocarbon without pions in the final state using multiple detectors with correlated energy spectra at T2K"

### On-/Off-Axis Data Release #### (Version 1.0.1, dated 2024/08/12) This tar archive contains the data release for ‘First measurement of muon neutrino charged-current interactions on hydrocarbon without pions in the final state using multiple detectors with correlated energy spectra at T2K’. It contains the cross-section data points and supporting information in ROOT and text format, which are detailed below: + `onoffaxis_xsec_data.root` This ROOT file contains the extracted cross section and the nominal MC prediction as TH1D histograms for both the flattened 1D array of bins and in the angle binning for the analysis. The ROOT file also contains both the covariance and inverted covariance matrix for the result stored as TH2D histograms. The angle bin numbering and the corresponding bin edges are detailed at the end of the README. + `flux_analysis.root` This ROOT file contains the nominal and post-fit flux histograms for ND280 and INGRID. Two different binnings are included: a fine binned histogram (220 bins) and a coarse binned histogram (20 bins). The coarse binned histogram corresponds to the flux parameters detailed in the paper (and bin edges listed in the appendix). + `xsec_data_mc.csv` The extracted cross-section data points and the nominal MC prediction for each bin is stored as a comma-separated value (CSV) file with header row. + `cov_matrix.csv` and `inv_matrix.csv` The covariance matrix and the inverted covariance matrix are both stored as CSV files with each row stored as a single line and columns separated by commas (there is no header row). Matrix element (0,0) corresponds to the first number in the file. + `nd280_analysis_binning.csv` and `ingrid_analysis_binning.csv` The analysis bin edges are included as CSV files. The columns are labeled with a header row and denote the linear bin index and the lower and upper bin edge for the angle and momentum bins. The units are in cos(angle) for the angle bins and in MeV/c for the momentum bins. + `calc_chisq.cxx` This is an example ROOT script to calculate the chi-square between the data and the nominal MC prediction using the ROOT file in the data release. To run, open ROOT and load the script (`.L calc_chisq.cxx`) and execute the function `calc_chisq("/path/to/file.root")`. + `calc_chisq.py` This is an example Python script to calculate the chi-square between the data and the nominal MC prediction using the text/CSV files in the data release. The code requires NumPy as an external dependency, but otherwise uses built-in modules. To run, execute using a Python3 interpreter and give the file paths to the data/MC text file and the inverse covariance text file as the first and second arguments respectively -- e.g. `python3 calc_chisq.py /path/to/xsec_data_mc.csv /path/to/inv_matrix.csv` + ND280 angle bin numbering     - 0: `-1.0 < cos(#theta) < 0.20`     - 1: `0.20 < cos(#theta) < 0.60`     - 2: `0.60 < cos(#theta) < 0.70`     - 3: `0.70 < cos(#theta) < 0.80`     - 4: `0.80 < cos(#theta) < 0.85`     - 5: `0.85 < cos(#theta) < 0.90`     - 6: `0.90 < cos(#theta) < 0.94`     - 7: `0.94 < cos(#theta) < 0.98`     - 8: `0.98 < cos(#theta) < 1.00` + INGRID angle bin numbering     - 0: `0.50 < cos(#theta) < 0.82`     - 1: `0.82 < cos(#theta) < 0.94`     - 2: `0.94 < cos(#theta) < 1.00`      ### Changelog #### v1.0.1 Fix transcription error in INGRID momentum binning. The lowest momentum bin edge is at 350 MeV/c, not 300 MeV/c.

opencc-by-4.0Jul 2023View details →

Associated data underlying the article "OPEN GOVERNMENT DATA (OGD) IN EUROPEAN EDUCATIONAL PROGRAMS CURRICULUM CURRENT STATE AND PROSPECTS"

Associated data underlying the article Rizun, Nina; Ciesielska, Magdalena; Alexopoulos, Charalampos; Saxena,Stuti; Papageorgiou, Georgios  International Conference on Open Data (ICOD 2022): Book of abstracts, Faculty of Law, University of Zagreb, Zagreb, Croatia, pp. 26-29 (978-953-270-167-8). <pre><a href="https://doi.org/10.5281/zenodo.8069910">https://doi.org/10.5281/zenodo.8069910</a></pre> It is everybody’s knowledge now that Open Government Data (OGD) pertains to the availability of datasets pertaining to government operations and functioning via license-free formats (Afful-Dadzie and Afful-Dadzie, 2017) and these datasets are linked with different themes contingent upon the area of administration like energy, education, climate, tourism, environment, infrastructure, etc. (Ubaldi, 2013). Governments have been benchmarking their OGD initiatives across standard indices like ODIN, OKFN, Open Data Barometer, etc. (Lnenicka et al., 2022; Lnenicka and Nikiforova, 2021) and ample research exists on assessing the quality of OGD portals from the demand (i.e. the governments’ efforts at maintaining the quality of datasets) and supply (i.e. the perceptions of users regarding the quality of datasets) side (Crusoe et al., 2019; de Souza et al., 2022; Islam et al., 2021; Kaasenbrood et al., 2015; Khurshid et al., 2022; Lnenicka et al., 2022; Purwanto et al., 2020; Saxena and Janssen, 2017; Shehata and Elgllab, 2021; Talukder et al., 2019; Weerakkody et al., 2017; Wirtz et al., 2016; Wirtz et al., 2018; Wirtz et al., 2019; Zuiderwijk et al., 2015). Given the magnitude of academic interest on OGD- especially in the last 10 years- it remains to be assessed as to how far has the domain progressed in the academic environs and surprisingly, no research has been conducted to elucidate the infusion of this very significant domain- that is relatable to the extent to which the governments are forwarding their claims regarding the furtherance of transparent and corruption-free administration apart from bolstering citizen participation, collaboration and trust (Gil-Garcia et al., 2020; Hellberg and Hedstrom, 2015) besides serving as a means for value creation and innovation by a range of stakeholders (Jetzek et al., 2012; Jetzek et al., 2014) - in the diverse platforms that are meant for furthering academic dialogue and discussion.