Find research datasets worth reusing

Initiation Process of a Winter Cloud-to-Ground Lightning Flash

Lightning  location results data. This dataset includes complete data, which means it has not undergone quality control. The time needs to be subtracted from the corresponding paper (Initiation Process of a Winter Cloud-to-Ground Lightning Flash) by 1.165ms.

opencc-by-4.0Feb 2023View details →

Time-Lapse Self-Potential Signals from Microbial Processes: a Laboratory Perspective

#Datasets for 3D self-potential monitoring experiments for microbial processes under laboratory-controlled conditions The three datasets presented here are the measured time-lapse self-potential (SP) data described in the paper 'Time-Lapse Self-Potential Signals from Microbial Processes: a Laboratory Perspective'. The data contains three SP datasets and resistivity data. Each SP dataset contains 193 columns, the data in the first column is the time and the unit is seconds, and columns 2 to 193  are SP data in mV corresponding to the 192 electrode measurements. 1) Stability test in water: The measured data is named water_background_data.txt, which record the time-lapse SP signals measured by the SP monitoring system in the stability test experiment. 2) Microbial Processes monitoring experiment 2: The measured data is named Experiment2_data.txt, which record the time-lapse SP signals measured by microbial processes in organic matter. 3) Microbial Processes monitoring experiment 3: The measured data is named Experiment3_data.txt, which record the time-lapse SP signals measured by microbial processes in organic matter. 4) Resistivity data: The measured data is named Resistivity_measurement_data.txt, which record three experimental materials' resistivity measured by the DER25718 instrument.

opencc-zeroJun 2023View details →

Impacts of taxon-sampling schemes on Bayesian tip dating under the fossilized birth-death process

Evolutionary timescales can be inferred by molecular-clock analyses of genetic data and fossil evidence. Bayesian phylogenetic methods such as tip dating provide a powerful framework for inferring evolutionary timescales, but the most widely used priors for tree topologies and node times often assume that present-day taxa have been sampled randomly or exhaustively. In practice, taxon sampling is often carried out so as to include representatives of major lineages, such as orders or families. We examined the impacts of different densities of diversified sampling on Bayesian tip dating on unresolved fossilized birth-death (FBD) trees, in which fossil taxa are topologically constrained but their exact placements are averaged out. We used synthetic data generated by simulations of nucleotide sequence evolution, fossil occurrences, and diversified taxon sampling. Our analyses under the diversified-sampling FBD process show that increasing taxon-sampling density does not necessarily improve divergence-time estimates. However, when informative priors were specified for the root age or when tree topologies were fixed to those used for simulation, the performance of tip dating on unresolved FBD trees maintains its accuracy and precision or improves with taxon-sampling density. By exploring three situations in which models are mismatched, we find that including all relevant fossils, without pruning off those that are incompatible with the diversified-sampling FBD process, can lead to underestimation of divergence times. Our reanalysis of a eutherian mammal data set confirms some of the findings from our simulation study, and reveals the complexity of diversified taxon sampling in phylogenomic data sets. In highlighting the interplay of taxon-sampling density and other factors, the results of our study have practical implications for using Bayesian tip dating to infer evolutionary timescales across the Tree of Life.

Processed EKE from FESOM-SO3

EKE datasets calculated from FESOM model output on the SO3 mesh and interpolated to a regular grid. Data processing is described in <a href="https://doi.org/10.5281/zenodo.8046783">https://doi.org/10.5281/zenodo.8046783</a>.

(Un)Fair Process Mining Event Logs

License: CC-BY-4.0 Event Logs: We introduce a set of 12 distinct event logs, three for each of the four domains: hiring, healthcare, lending, and renting. These event logs have been carefully curated and simulated, each containing 10,000 cases, thereby providing an extensive resource for researchers focusing on fairness in process mining. In each of these domains, the three event logs represent varying degrees of discrimination, offering researchers an opportunity to explore the nuances and complexities that arise in diverse real-world scenarios. By presenting each log with a thorough description of the inherent processes and their respective attributes, we aim to provide a robust groundwork for understanding the potential sources of discrimination and addressing fairness in process mining. We have ensured that all the event logs are provided in the eXtensible Event Stream (XES) standard format. This adherence to a recognized standard not only ensures broad compatibility but also facilitates interoperability across a variety of process mining tools. By choosing this common format, we aim to encourage and simplify the utilization of these logs for researchers across different platforms. * Hiring The data describes a multifaceted recruitment process with diverse application pathways ranging from minimal processing to extensive multi-step procedures. The variability of these routes, largely dependent on numerous determinants, yields a spectrum of outcomes from instant rejection to successful job offers. The logs include attributes such as age, citizenship, German proficiency, gender, religion, and years of education. While these attributes may inform candidate profiles, their misuse could engender discrimination. Variables like age and education may signify experience and skills, citizenship and German language may address job logistics, but these should not unjustly eliminate applicants. Gender and religion, unrelated to job performance, must not sway hiring. Therefore, the use of these attributes must uphold fairness, avoiding any potential bias. * Hospital The data depicts a hospital treatment process that commences with registration at an Emergency Room or Family Department and advances through stages of examination, diagnosis, and treatment. Notably, unsuccessful treatments often entail repetitive diagnostic and treatment cycles, underscoring the iterative nature of healthcare provision. The logs incorporate patient attributes such as age, underlying condition, citizenship, German language proficiency, gender, and private insurance. These attributes, influencing the treatment process, may unveil potential discrimination. Factors like age and condition might affect case complexity and treatment path, while citizenship may highlight healthcare access disparities. German proficiency can impact provider-patient communication, thus affecting care quality. Gender could spotlight potential health disparities, while insurance status might indicate socio-economic influences on care quality or timeliness. Therefore, a comprehensive examination of these attributes vis-a-vis the treatment process could shed light on potential biases or disparities, fostering fairness in healthcare delivery. * Lending This data illustrates the steps within a loan application process. From an initial appointment request, the process navigates various stages, including information verification and underwriting, culminating in loan approval or denial. Additional steps may be required, such as co-signer enlistment or collateral assessment. Some cases experience outright appointment denial, indicating the process's variability, reflecting applicants' differing credit situations. The logs' attributes can aid in identifying influences on outcomes and detecting discrimination. Personal characteristics ('age', 'citizen', 'German speaking', and 'gender') and socio-economic indicators ('YearsOfEducation' and 'CreditScore') can impact the process. While 'yearsOfEducation' and 'CreditScore' can validly inform creditworthiness, 'age', 'citizen', 'language ability', and 'gender' should not bias loan decisions, ensuring these attributes are used responsibly fosters equitable loan processes. * Renting The data represents a rental process. It begins with a prospective tenant applying to view a property. Subsequent steps include an initial screening phase, viewing, decision-making, and a potential extensive screening. The process ends with the acceptance or rejection of the prospective tenant. In some cases, a tenant may apply for viewing but be rejected without the viewing occurring. The logs contain attributes that can shed light on potential biases in the process. 'Age', 'citizen', 'German speaking', 'gender', 'religious affiliation', and 'yearsOfEducation' might influence the rental process, leading to potential discrimination. While some attributes may provide useful insights into a potential tenant's reliability, misuse could result in discrimination. Thus, fairness must be observed in utilizing these attributes to avoid potential biases and ensure equitable treatment.

opencc-zeroJun 2023View details →

Data from: Female preference for males with lower pattern contrast follows Weber's law of proportional processing in an ornate jumping spider

According to Weber's law of proportional processing, perceptual discrimination between stimuli of different magnitudes is based on their proportional differences in magnitude (not absolute differences). Proportional processing operates in various sensory modalities and behavioural contexts. However, whether female mate preference for colour patterns in animals follows Weber's law of proportional processing remains untested. We addressed this research gap using the jade jumping spider, Siler semiglaucus, whose males exhibit remarkable sexually selected colour patterns and whose females show preferences for males with low abdomen pattern contrast (pattern contrast is defined as the spatial feature of the relative abundance of two adjacent colour patches). By manipulating the dorsal abdomen colour patterns of S. semiglaucus males, we created males with varying abdomen pattern contrasts. We then assessed female preference for males that varied in both absolute and proportional differences in pattern contrast. We found that females preferred males with lower abdomen pattern contrasts and discriminated between males based on both absolute and proportional differences in pattern contrast. While proportional difference alone was not a significant predictor of female mate choice, discrimination based on proportional difference, coupled with absolute difference had a greater influence on female mate preference than absolute difference alone. Hence, our findings suggest that S. semiglaucus female preference for males with lower pattern contrast follows Weber's law, and female discrimination may have the potential to limit the exaggeration of sexually selected colour patterns.

opencc-by-4.0Dec 2021View details →

Dynamic Binaural Processing (sBTRF) data

This dataset is associated with a publication exploring processing of dynamic binaural cues.

Selection process of articles for a systematic literature review on citizen science initiatives in school contexts

Selection process of articles for a systematic literature review on citizen science initiatives in school contexts. Initial records are extracted from Web of Science database from 2000 to 2021. We used the keyword "citizen science" in the title mixed with some keywords in the topic of the search: “classroom” or “school” or “student*” or “pupil” or “learning”. The different database sheets inform about the application of the inclusion and exclusion criteria applied.

opencc-by-4.0Jul 2023View details →

Final abundances used in "Impact of level densities and gamma-strength functions on r-process simulations"

Dataset of final abundances used in the article "Impact of level densities and gamma-strength functions on r-process simulations", found on ArXiv at https://arxiv.org/abs/2305.03664. The five files named "final_y_x_ext_REACLIB" contain the abundances calculated using the REACLIB rates and the x trajectory. The five folders represent the five different trajectories used, and they each contain 48 final abundance files. These were calculated using the 48 different neutron-capture rate combinations from the 6 nuclear level density and the 8 gamma-strength function models available in TALYS 1.95. The names indicate the trajectory, the mass model, the nuclear level density, the gamma-strength function and the optical model potential used. For example, the file named "b_output_m2n1s7o2_noDZ" contains the final abundances obtained using trajectory "b", mass model 2, nuclear level density 1, strength 7 and optical model potential 2 (in this case meaning keyword "localomp n" in TALYS 1.95). For details and references, see the article. The first column in all files indicates the mass number A, the second column the final abundance Y.

opencc-by-4.0Jul 2023View details →

A pilot-scale partial nitritation-anammox process for treatment of anaerobic sludge digester effluent

In most of the wastewater treatment operational practices with anaerobic sludge digestion, the ammonia rich centrate (>100mg/L) is recycled back to the main treatment line which increases the NH4+-N loading to the treatment by as much as 10–30% (Fan 2020). The partial nitritation-anammox (PN/A) process is a biological process that provides an environmentally, economically, and technically sound solution to treat anaerobic sludge digester effluent. The application of the anammox process in the wastewater system could result in higher nitrogen removal in the digester effluent as there have been related research conducted at lab-scale using synthetic wastewater (Awolusi et al., 2020). However, due to the process sensitivity to operating conditions, there is a need to optimize at pilot scale to emerge as an efficient process, especially in the South African environment as this technology has a possibility to be promoted as an alternative and/or additional bioprocess to be applied in full scale throughout the country.

opencc-zeroJul 2023View details →

The statistical data of bubbles during the rising stage in plunging wave breaking, along with the associated processing programs

During plunging wave breaking, a significant number of multi-scale bubbles emerge, which can persist for extended periods. These bubbles are accurately captured and tracked by a bubble-droplet detection program. The dataset provides detailed statistics on bubble properties, including size, velocity, and spatial distributions during the entire rising stage for three different wave slopes.

opencc-zeroJul 2023View details →

Testing relationships between multiple regional features and biogeographic processes of speciation, extinction, and dispersal

The spatial and environmental features of regions where clades are evolving are expected to impact biogeographic processes such as speciation, extinction, and dispersal. Any number of regional features (such as altitude, distance, area, etc.) may be directly or indirectly related to these processes. For example, it may be that distances or differences in altitude or both may limit dispersal rates. However, it is difficult to disentangle which features are most strongly related to rates of different processes. Here, we present an extensible Multi-feature Feature-Informed GeoSSE (MultiFIG) model that allows for the simultaneous investigation of any number of regional features. MultiFIG provides a conceptual framework for incorporating large numbers of features of different types, including categorical, quantitative, within-region, and between-region features, along with a mathematical framework for translating those features into biogeographic rates for statistical hypothesis testing. Using traditional Bayesian parameter estimation and reversible-jump Markov chain Monte Carlo, MultiFIG allows for the exploration of models with different numbers and combinations of feature-effect parameters, and generates estimates for the strengths of relationships between each regional feature and core process. We validate this model with a simulation study covering a range of scenarios with different numbers of regions, tree sizes, and feature values. We also demonstrate the application of MultiFIG with an empirical case study of the South American lizard genus Liolaemus, investigating sixteen regional features related to area, distance, and altitude. Our results show two important feature-process relationships: a negative distance/dispersal relationship, and a negative area/extinction relationship. Interestingly, although speciation rates were found to be higher in Andean versus non-Andean regions, the model did not assign significance to Andean- or altitude-related parameters. These results highlight the need to consider multiple regional features in biogeographic hypothesis testing.

opencc-by-4.0Jul 2023View details →

Data - process planning

Here is the data set including process time, process quality, and the match-making of resources and assembly tasks. These data belongs to the process planning problem, where several process plans exist there. The data description in explained in the txt file.

opencc-by-4.0May 2023View details →

Raw P-SHG data and processing codes for Raoux et al, Light Science and Applications 2023

Raw P-SHG data and processing codes for Raoux et al, Light Science and Applications 2023 Article DOI: 10.1038/s41377-023-01224-0 Raw P-SHG data: 10 human corneas Important: crop 20 pixels on left and right sides of all images to remove scanning artefacts and obtain 250 x 250 images voxel size: 1 µm in all directions Channel 0: trans-2PEF Channel 1: epi-2PEF Channel 2: epi-SHG Channel 3: trans-SHG

Fig. 8 in Characteristics of thermal processes in ant nests built under stones (Hymenoptera: Formicidae)

Fig. 8 – Daily temperature changes at characteristic points of the system for thick stone (A, open space; B, penumbra; C, shadow); Same, for thin stone: D, open space; E, penumbra; F, shadow

Fig. 9 in Characteristics of thermal processes in ant nests built under stones (Hymenoptera: Formicidae)

Fig. 9 – Temperature distribution along the height of a thick stone and in the soil under the stone (A, open space; B, penumbra; C, shadow) and for a thin stone (D, open space; E, penumbra; F, shadow).

Fig. 6 in Characteristics of thermal processes in ant nests built under stones (Hymenoptera: Formicidae)

Fig. 6 – Number of workers, larvae and pupae found under stones (A-C, cold; D-F, warm; G-I, hot) during April – August 2021. A, D, G: workers; B, E, H: larvae; C, F, I: pupae.

Fig. 5 in Characteristics of thermal processes in ant nests built under stones (Hymenoptera: Formicidae)

Fig. 5 – Number of workers, larvae and pupae found under stones in the nests of three ant species (A-C, Myrmica rubra; D-F, Lasius niger; G-I, Formica cinerea) during April - August 2021. A, D, G: workers; B, E, H: larvae; C, F, I: pupae. 1-4 indicates the number of week in each month.

Fig. 4 in Characteristics of thermal processes in ant nests built under stones (Hymenoptera: Formicidae)

Fig. 4 – Linear dimensions of stones with Myrmica rubra (M_r), Lasius niger (L_n), Formica cinerea (F_c) nests. D1 and D2 are diameter 1 and 2; H is height. All measures are in cm.

Fig. 1 in Characteristics of thermal processes in ant nests built under stones (Hymenoptera: Formicidae)

Fig. 1 – Place of research at the confluence of the rivers Desna and Lyubich (Litky village, Kyiv region, Ukraine); 1, location of stone 2; 2, location of stones 1, 3-12, 19-20; 3, location of stones 13-18.