Find research datasets worth reusing

Figure 3 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration

Figure 3: Boxplot showing number of Fucus vesiculosus juveniles per dm2 surviving from mid-July to early November, 1994 in Askö. Treatments in (A) "Manipulated Fucus" without understorey (diagonal stripes) and "Natural Fucus (control)" with understorey (white) and (B) "Cladophora-covered substratum" (chequered) and "Cleaned substratum" cleared from both Fucus and understorey vegetation (vertical stripes). Note major difference in scales for y-axes in each panel. n = 6 for all treatments. *indicates significant difference in density of juveniles between two treatments at one date (p <0.05). One-way ANOVA of treatments at each date showed a higher number of juveniles in treatments containing Fucus (i.e. Figure 3A) on all dates compared to treatments without Fucus (i.e. Figure 3B; p <0.001).

Figure 1 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration

Figure 1: Maps showing areas and sites for field experiments presented in this paper. (A) Map of the Baltic Sea showing areas 1–5. (B) Area 1 with Sites A–G outside Trosa town (black) and Area 2 with control Site H near Askö laboratory on Askö island. (C) Area 5 with Sites I–J in Gdansk Bay.

Figure 2 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration

Figure 2: Fucus vesiculosus increase in size over time during 4 years. Fucus vesiculosus: volume (calculated as a cone from thallus height and circumference) plotted against biomass (g dry weight) with linear regression for (A) 1-year-old, (B) 2-year-old, (C) 3-year-old and (D) 4-year-old thalli grown in the field at Askö during 1991–1994.

Figure 5 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration

Figure 5: Boxplot showing germination (%) of Fucus vesiculosus zygotes after 7 days of exposure under laboratory conditions to exudates from Cladophora glomerata, Ulva intestinalis, Pylaiella littoralis, Ceramium tenuicorne and Hildenbrandia rubra. All treatments differed (p <0.001) from the control (one way ANOVA). n = 6 for all treatments.

Figure 4 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration

Figure 4: Boxplot showing number of Fucus vesiculosus juveniles per dm2 on five different types of substratum. (A) Askö, after 5 months, n = 10 except ceramic tile (n = 7) and Hildenbrandia treatment (n = 9). (B) Räfsnäs after 4 months, sample size n = 6. Note major difference in scales for y-axes in each panel. Letters (A–E) above bars show groups that differ significantly (at p = 0.05) within each site according to Tukey HSD post hoc test.

Impact of the aggregate of 11 global threats on countries

The vulnerability of 134 countries to the impact of a set of the most  important  threats  to  humanity in the first half of the 21st century were assesed. Data of 2005-2022 were considered.

opencc-by-4.0Sep 2024View details →

The impact of solar wind magnetic field fluctuations on the magnetospheric energetics

This dataset provides the results and analysis tools of the manuscript by Ala-Laht et al. "The impact of solar wind magnetic field fluctuations on the magnetospheric energetics". In addition, relevant SWMF simulation input files are included. See ReadMe.txt for information.

opencc-by-4.0Sep 2024View details →

Data analysis Protocol for a Joint Study into the Impacts of AI on professional Competencies of IT Professionals and Implications for Computing Students. ITiCSE 2024 Working Group 02.

<h1><a name="_Toc169648661"></a>Overview</h1>   The purpose of this protocol is to help us define a common protocol for sharing and analysing data for the ITiCSE 2024 working group: “WG02: A Multi-Institutional-Multi-National Study into the Impacts of AI on Work Practices of IT Professionals and Implications for Computing Students”.  Excerpts from the working group plan to place the protocol in context (Clear et al., 2024) are given below.   Background and Related Work As Artificial Intelligence (AI) continues to make its presence felt in transforming workplaces around the world [1,10], and the Information Technology industry in particular, it is essential to understand its impact on the work practices of IT professionals, and the implications for computing students and curricula. This research project builds on work initiated jointly, in Sweden, New Zealand and Scotland, investigating concerns about the increasing impacts of Artificial Intelligence in IT Sector workplaces for employee work engagement [11,13,1] and the implications for tertiary study, assessment and curricula in computing [4, 8, 10, 9].  “Work engagement”, has been defined as the positive inner state where employees are fully present and engaged in their work, and is closely linked to motivation, learning, productivity, and accountability [11, 13]. Within the context of (Generative) AI at work, IT professionals have been noted as early adopters of AI [10, 1]. Their involvement in implementing and utilising AI technologies can provide valuable insights into the interplay between AI and work engagement.  The implications for students are significant as future IT professionals, who must acquire and enhance competencies to adapt and thrive in digital workplaces.   2           Goals of the Working Group By exploring the relationship between work engagement and learning, this study aims to shed light on the dynamics that drive employee engagement and its connection to the professional development of competencies. The previous study has interviewed IT professionals with the following research questions (RQ):   RQ1: How does AI influence work engagement for IT professionals? RQ2: How does AI affect the socio-technical work dynamics for IT professionals? RQ3: What are the implications of integrating AI on the acquisition and enhancement of professional competencies and the learning processes of IT professionals?   3           Methodology This working group aims to analyse the corpus of interview data collected from multiple countries to better understand the implications for computing students, tertiary computing education curricula and assessment of the new professional competencies emerging from this work. This study informed by the literature on work engagement, automation and motivation for IT professionals [11, 13], will use a combination of multi-vocal literature review [7] and qualitative research methods [2, 5], including thematic analysis of the interviews, to investigate the state of the practice in and challenges IT Professionals face within their local/global work contexts. The literature on professional competencies in computing [4, 3, 6] will be drawn upon to characterise the new needs identified in this analysis.  Further implications for computing curricula design and assessment will be developed from this analysis. REFERENCES [1]    ACM Technology Policy Council. 2023. Principles for the development, deployment, and use of generative AI technologies, ACM New York. [2]    Braun, V. and Clarke, V. 2021. One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative research in psychology, 18 (3). 328-352. [3]    Clear, A., Clear, T., Vichare, A., Charles, T., Frezza, S., Gutica, M., Lunt, B., Maiorana, F., Pears, A. and Pitt, F. 2020. Designing Computer Science  Competency Statements: A Process and Curriculum Model for the 21st Century in Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, ACM, New York. [4]    Clear, A., Parrish, A. and CC2020 Task Force. 2020. Computing Curricula 2020 - CC2020 - Paradigms for Future Computing Curricula ACM and IEEE-CS eds. A Computing Curricula Series Report ACM, New York. [5]    Cruzes, D.S. and Dyba, T. 2011. Recommended steps for thematic synthesis in software engineering. in 2011 international symposium on empirical software engineering and measurement, IEEE, 2011, 275-284. [6]    Frezza, S., Clear, T. and Clear, A. 2020. Unpacking Dispositions in the CC2020 Computing Curriculum Overview Report in 2020 IEEE Frontiers in Education Conference (FIE), IEEE, Uppsala, Sweden. [7]    Garousi, V., Felderer, M., & Mäntylä, M. V. 2019. Guidelines for including grey literature and conducting multivocal literature reviews in software engineering. Information and Software Technology, 106. 101-121 [8]    Jacques, L. 2023. Teaching CS-101 at the Dawn of ChatGPT. ACM Inroads, 14 (2). 40-46. [9]    Liffiton, M., Sheese, B., Savelka, J. and Denny, P. 2023. CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes. arXiv preprint arXiv:2308.06921. [10]  Prather, J., Denny, P., Leinonen, J., Becker, B.A., Albluwi, I., Craig, M., Keuning, H., Kiesler, N., Kohn, T. and Luxton-Reilly, A. 2023. The robots are here: Navigating the generative ai revolution in computing education. arXiv preprint arXiv:2310.00658. [11]  Roto, V., Palanque, P. and Karvonen, H., 2019. Engaging automation at work–a literature review. in Human Work Interaction Design. Designing Engaging Automation: 5th IFIP WG 13.6 Working Conference, HWID 2018, Espoo, Finland, August 20-21, 2018, Revised Selected Papers 5, Springer, 158-172. [12]  SFIA Foundation. 2023. SFIA skills aligned to EU ICT Profiles, SFIA Institute, London. [13]  Sharp, H., Baddoo, N., Beecham, S., Hall, T. and Robinson, H. 2009. Models of motivation in software engineering. Information and software technology, 51 (1). 219-233.

opencc-by-4.0Sep 2024View details →

Differential impact of impaired steryl ester biosynthesis on the metabolome of tomato seeds and fruits

Steryl esters (SE) are a storage pool of sterols that accumulates in cytoplasmic lipid droplets and helps to maintaining plasma membrane sterol homeostasis throughout plant growth and development. Ester formation of plant SE is catalyzed by phospholipid:sterol acyltransferase (PSAT) and acyl-CoA:sterol acyltransferase (ASAT), which transfer long-chain fatty acid groups to free sterols from phospholipids and acyl-CoA, respectively. Comparative mass spectrometry-based metabolomic analysis between ripe fruits and seeds of a tomato (Solanum lycopersicum cv Micro-Tom) mutant lacking functional PSAT and ASAT enzymes (slasat1xslpsat1) shows that disruption of SE biosynthesis has a differential impact on the metabolome of these organs, including changes in the relative proportions of free and glycosylated sterols. Significant perturbations were observed in the fruit lipidome in contrast to the mild effect detected in the lipidome of seeds. A contrasting response was also observed in phenylpropanoid metabolism, which is down-regulated in fruits and appears to be stimulated in seeds. Comparison of global metabolic changes using volcano plot analysis suggests that disruption of SE biosynthesis favors a general state of metabolic activation that is more evident in seeds than fruits. Interestingly, there is an induction of autophagy in both tissues, which may contribute along with other metabolic changes to the phenotypes of early seed germination and enhanced fruit resistance to Botrytis cinerea displayed by the slasat1xslpsat1 mutant. The results of this study reveal unreported connections between SE metabolism and the metabolic status of plant cells, and lay the basis for further studies aimed at elucidating the mechanisms underlying the observed effects.   Data:  W1-54; AxP LC polar.zip: raw files LC-polar W1-1 (1)-(54); AxP LC lipid.zip: raw files lipid LC GCtomato.zip: raw files GC polar spreadsheet (.csv) with sample IDs

Supplementary Datasets for "Oceanic enrichment of ammonium and its impacts on phytoplankton community composition under a high-emissions scenario"

These are the four supplementary datasets used in the analysis and work presented in the publication  Oceanic enrichment of ammonium and its impacts on phytoplankton community composition under a high-emissions scenario

Database of geochemical analyses of soils and rocks related to the Bosumtwi impact crater

This excel file contains geochemical analyses of soils and rocks related to the Bosumtwi impact crater and its surroudings geological units - all data included in this database have been extracted from peer-reviewed literature.

opencc-by-4.0Jul 2024View details →

Data for "Impact of early cleft lip and palate surgery on maxillary growth in 5- and 10-Year-old patients with unilateral cleft lip and palate: a cross-sectional study"

Relative frequency in % (absolute frequency is shown above each bar). Frequency of 5YO indices in cleft patients and frequency of GOSLON indices in cleft patients.

POTENTIAL ENVIRONMENTAL IMPACTS OF SOLID WASTE MANAGEMENT IN YOGYAKARTA, INDONESIA: A COMPARATIVE STUDY USING LIFE CYCLE ASSESSMENT

Life Cycle Assessment (LCA) serves as a tool to estimate the potential impacts of a waste management system. Sleman Regency needs a scenario of waste management with a lower environmental impact. The present study aims to determine the potential impact of the existing business as usual (BAU) waste management practice in Sleman Regency and compare it with several alternatives to waste management strategies. The LCA method was applied following ISO 14040 and ISO 14044 standards. The impact was assessed using the CML-1A Baseline and ILCD 2011 Midpoint+ methods, along with data from the Ecoinvent database. In the BAU scenario, the impact values observed in every 1 ton of waste managed were Global Warming Potential (GWP) of 4.90E+03 kg CO2 eq, Acidification Potential (ADP) of 2.78E-03 kg SO2 eq, Eutrophication Potential (EP) of 4.92E-02 kg PO4-eq, Human Toxicity Potential (HTP) of 2.06E+01 kg 1.4 DB eq, and Land Use Potential (LUP) of 4.71E+01 kg C deficit. Processing waste into biomass pellets and Refuse Derived Fuel accompanied by waste reduction could decrease the GWP value to 34.04 kg CO2 eq, ADP to 2.96E-06 kg SO2 eq, EP to 7.33E-05 kg PO4-eq, HTP to 3.70E-04 kg 1.4 DB eq, and LUP to 2.11E-03 kg C deficit. The results of waste management with the lowest impact value can serve as a reference for formulating waste management policies in the study area.

Data, code, and outputs for the paper "Can Place-Based Crime Prevention Impacts be Sustained Over Long Durations? 11-Year Follow-Up of a Quasi-Experimental Evaluation of a CCTV Project"

********** Can Place-Based Crime Prevention Impacts be Sustained Over Long Durations? 11-Year Follow-Up of a Quasi-Experimental Evaluation of a CCTV Project ********** The phase-specific datasets for the main and displacement analyses are contained in the “1.datasets” folder.  The scripts used to conduct the microsynthetic control matching analyses are contained in the “2.Rscripts” folder. The subfolders “3.outputs_main” and "4.outputs_displacement" contains all graphs and tables generated by the microsynth package. Please note that running the analysis will take several hours on most computer systems. The Microsoft Excel file displays the results of all models conducted for this analysis. Yellow tabs contain the WDD results presented in the text of the article.  Red tabs are the per-capita (quarter-year) microsynth results used to calculate WDD values. All other tabs contain the raw microsynth outputs used to calculate the per-capita results.

opencc-by-4.0Jul 2024View details →

Data from "The academic impact of Open Science: a scoping review"

These files include the data from the "The societal impact of Open Science - a scoping review", part of a series of studies conducetd within the PathOS Horizon Europe project on the academic, economic, and societal impacts of Open Science. This study was conducted in two phases. In phase 1 an academic database search was conducted. For phase 2 an automatic snowball search was performed based on results from phase 1 ( and grey literature was searched manually. The upload contains five files: <ol> <li>Main file with extracted information for the 485 studies included in the review ("academic_impact_included_all_data.csv").</li> <li>Excel file documenting the grey literature search ("Grey_Literature_Search.xlsx").</li> <li>R project for the snowball search ("academic_impact_snowball.zip").</li> <li>R project for cleaning data and producing summaries and figures ("academic_impact_stats.zip").</li> <li>Excel file mapping the frascati codes used in file (1) to their textual representations ("Frascati definitions.xlsx")</li> </ol> For more details on the methods see the <a href="https://osf.io/m4rnc">protocol</a> and its <a href="https://osf.io/3b6xj">addendum</a>. For the background, results and discussion see the <a href="../records/7883699">deliverable</a> (reporting on phase 1) and the pre-print.

opencc-by-4.0Jan 2025View details →

VatsalSy/Drop-impact-on-viscous-liquid-films: Drop impact on viscous liquid film v2.0

<h1>Release Notes - v2.0 (January 24, 2025)</h1> <h2>1. Independent Control of Film Properties</h2> <ul> <li>You can now specify a separate density for the film, distinct from that of the drop</li> <li>Surface tension at the film-air interface is independently configurable from the drop-air interface</li> </ul> <h2>2. Revised Default Parameters</h2> <ul> <li>Improved default values for simulation end time, maximum refinement level, and dimensionless groups (We, Ohd, Bo, and Ohf)</li> </ul> <h2>3. Modified Adaptation Schemes</h2> <ul> <li>omega-based adaptation removed due to incompatibility with new Basilisk axisymmetric modules</li> <li><code>adapt_wavelet_limited</code> removed for the newest Basilisk version. Refer to the link in the README for an alternative implementation</li> </ul> <h2>4. Updated Boundary Conditions</h2> <ul> <li><code>dirichlet(...)</code> now replaces direct assignment at domain boundaries, improving accuracy at limited resolutions</li> </ul> <h2>5. Compatibility Script</h2> <ul> <li>New <code>reset_install_requirements.sh</code> script ensures the code can be rebuilt with the latest Basilisk updates</li> </ul>

opencc-by-4.0Aug 2024View details →

juan-duenas/NHESS: Soil conditioner mixtures as an agricultural management alternative to mitigate drought impacts: a proof-of-concept.

The dataset and the R script have been enhanced and corrected, respectively. The main figures of the associated publication have been added in two different qualities. This data is associated to a paper that will appear in an special issue of the journal Natural Hazards and Earth System Sciences. https://nhess.copernicus.org/articles/special_issue1295.html

openmit-licenseFeb 2024View details →

Code for 'Risks of unavoidable impacts on forests at 1.5C with and without overshoot'

<h2>Risks of unavoidable impacts on the Siberian and Amazon forests from AR6 WGIII's Illustrative Mitigation Pathways.</h2> Contains code and data for reproducing results from Munday et al., in review. <h3>Installing the conda environment</h3> To install the conda environment, run the following on your command line: <code>conda env create -f environment.yml</code> Notes on the notebooks <code>all_other_figures.ipynb</code> requires a good amount of memory to run (it runs fine on a decent spec. MacBook Pro), based on the quantity of data required for some of the plots. Some variables have squiggly underlines - don't worry about this. The notebooks will still run, this is just a consequence of using the <code>%%capture</code> keyword in some notebook cells, which makes sure hundreds of irrelevant warnings aren't output.

opencc-by-4.0Oct 2021View details →

Do Design-Rules have an Impact on the Understandability of RESTful APIs? A Controlled Experiment

This publication contains the artifacts to reproduce a study, that investigated the impact of design-rules on the understandability of REST APIs. For this study the tool limesurvey (https://www.limesurvey.org/) was used. The following files are provided:  <ul> <li>limesurvey_study_archive_final.zip: This archive contains the survey structure (.Iss file), which can be imported in limesurvey</li> <li>API_Following_Rules.yaml: The API description for the version that follows the rules</li> <li>API_Ignoring_Rules.yaml: The API description for the version that ignores the rules</li> <li>Result_Data.csv: The untouched dataset exported from limesurvey</li> <li>Adjustments_to_Result_Data.txt: A description of changes that were made to the result data in order to filter out invalid answers and make the data easier to analyze</li> <li>Result_Data_Adjusted.csv: The adjusted dataset based on the changes described in the above file</li> <li>experiment_analysis_final.R: The analysis script used to get the results of the study. This script only works with the Result_Data_Adjusted.csv, because it was created based on the adjusted dataset </li> </ul>