cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27684789
title: Supplementary Material for: Worldwide burden of retinoblastoma from 1990-2021

description: Introduction: To report the global, regional, and national burden of retinoblastoma between 1990 and 2021, by age, sex, and sociodemographic index (SDI).
Methods: We leveraged the Global Burden of Disease 2021 Study to elucidate the epidemiological landscape of retinoblastoma, encompassing prevalence, incidence, mortality, and disability-adjusted life years (DALYs) across 204 nations and territories spanning the period from 1990 to 2021. The SDI was employed to evaluate the interplay between socio-economic development and the burden of retinoblastoma.
Results: In 2021, global estimates unveiled 57,333 prevalent cases of retinoblastoma, yielding 6,274 incident cases, 2,762 deaths, and 243,204 DALYs. Globally, the age-standardized prevalence, incidence, mortality, and DALY rates for retinoblastoma in 2021 were 0.86, 0.09, 0.04, and 3.65 per 100,000 population, respectively. Tokelau, Kenya, and Portugal demonstrated the highest age-standardized prevalence and incidence rates of retinoblastoma in 2021. The global prevalence of retinoblastoma peaks among children aged 2 to 4 years and subsequently declines with increasing age. At the regional level, the correlation between SDI and age-standardized prevalence rates for retinoblastoma manifested a V-shaped pattern.
Conclusions: This comprehensive examination of retinoblastoma epidemiological trends underscores the imperative for heightened vigilance and more efficacious therapeutic interventions, especially within resource-limited environments. The findings accentuate the need for targeted strategies to address the disparate burden of retinoblastoma across diverse socioeconomic landscapes.
DOI: 10.1285/i20398573v8n1p121
title: "Which women? What agenda?" Situating WPS in North Africa: the case of Tunisia

description: The debate on the Women, Peace and Security (WPS) Agenda has taken root in Tunisia after the 2010-11 revolution, in the context of women's push for democratic reforms and increasing non-state political violence. Although Tunisia adopted a National Action Plan (NAP) for implementing the United Nations Security Council (UNSC) Resolution 1325 (Res. 1325) in 2018, the WPS dossier has aroused little interest among civil society (CS) so far. This article aims to investigate the relationship between the international agenda and local change. On the one hand, it analyses the extent to which the WPS debate and practice is representative of Tunisian women's needs, perspectives and expectations, trying to unpack the issue of which women and what agenda they advance and represent. On the other, it examines the main achievements and challenges in terms of implementing the 2018 NAP in an effort to discern whether this Plan is reframing the concept of security in Tunisia.
DOI: 10.13026/gyjg-0t90
title: National Institutes of Health Stroke Scale (NIHSS) Annotations for the MIMIC-III Database

description: The National Institutes of Health Stroke Scale (NIHSS) is a 15-item neurologic
examination stroke scale. It quantifies the physical manifestations of
neurological deficits and provides crucial support for clinical decision
making and early-stage emergency triage. NIHSS scores stored in the free-text
of Electronic Health Records (EHRs) often lack standardization and the
expression patterns are highly dependent on the habit of the clinicians. This
can limit the potential for reusability of the data.

There is benefit in developing robust algorithms to extract NIHSS scores from
the free-text of EHRs. We developed a dataset for NIHSS score identification,
a task defined as the extraction of scale items and corresponding scores from
discharge summaries. Discharge summaries of stroke cases in the Medical
Information Mart for Intensive Care III (MIMIC-III) database were used to
create an annotated NIHSS corpus.

Each discharge summary was manually annotated for the presence of NIHSS scores
by two annotators with backgrounds in medical informatics. Annotations include
all scale items (e.g. "4\. Facial Palsy"), the corresponding score
"measurement", and their relation "has value". The dataset is intended to
support academic and industrial research in the field of medical natural
language processing (NLP).
DOI: 10.15154/1518660
title: Computational evidence for hierarchical reinforcement learning in humans

description: Humans have the fascinating ability to achieve goals in a complex and constantly changing world, still surpassing modern machine learning algorithms in terms of flexibility and learning speed. It is generally accepted that a crucial factor for this ability is the use of abstract, hierarchical representations, which employ structure in the environment to guide learning and decision making. Nevertheless, how we create and use these hierarchical representations is poorly understood. This study presents evidence that human behavior can be characterized as hierarchical reinforcement learning (RL). We designed an experiment to test specific predictions of hierarchical RL using a series of subtasks in the realm of context-based learning, and observed several behavioral markers of hierarchical RL, such as asymmetric switch costs between changes in higher-level versus lower-level features, faster learning in higher-valued compared to lower-valued contexts, and preference for higher-valued compared to lower-valued contexts. We replicated these results across three independent samples. We simulated three models: a classic RL, a hierarchical RL, and a hierarchical Bayesian model, and compared their behavior to human results. While the flat RL model captured some aspects of participants’ sensitivity to outcome values, and the hierarchical Bayesian model some markers of transfer, only hierarchical RL accounted for all patterns observed in human behavior. This work shows that hierarchical RL, a biologically-inspired and computationally simple algorithm, can capture human behavior in complex, hierarchical environments, and opens the avenue for future research in this field.
DOI: 10.5281/zenodo.10122242
title: Evaluating robot workspaces with performance maps

description: Evaluating robot workspaces with performance maps

Aline Kluge-Wilkes, Presley Demuner Reverdito

The following data set was created while validating a proposed method to evaluate robot workspaces with different performance metrics. 

The underlying paper will be presented at the CIRP CATS 2024, the 10th Conference on Assembly Technology and Systems, hosted in Karlsruhe from 24-26.April.2024 and published thereafter.

Deploying mobile robots in line-less and mobile assembly systems without predefined formations necessitates understanding the robot's capabilities and determining the tasks it can perform. The data set concerns performance maps to assess the feasibility of assembly tasks within the robot's workspace. These maps offer quantifiable metrics to compare the suitability of base placements for mobile robots concerning the feasibility of specific assembly tasks.

Performance maps are a discretised representation of a particular robot's distribution of selected performance metrics. The current implementation focuses on calculating manipulability, dexterity, and condition number. Using a URDF robot model and task poses as input, the metrics are computed across distributed poses within the robot's workspace at a specified resolution, forming the performance map.

The data set contains the application of the performance map to exemplary tasks and robots.

A Design of Experiments (DoE) was conducted to investigate the influence of three predictor variables on robot manipulation performance. The predictor variables considered in the study were as follows:

1. Resolution (R): Two levels of resolution, 0.08m and 0.12m, were examined to assess their impact on robot performance representation.

2. Number of poses (N): Two different quantities of poses, 25 and 50, were studied to understand how they affect the representation of the robot's capabilities.

3. Robot Model: Two distinct robot models, the ABB IRB1600-1.2 and the ABB IRB120-0.58, were chosen for the experiments.

 

Eight experiments were designed and executed, each with a unique combination of the predictor variables. These experiments are summarised in the Excel-sheet "DOE-tests-and-results". The first table overviews the eight experiments. The following eight tables indicate the positions and the results: the respective calculated robot's performance metrics. 

The .json files specify the poses for which the respective performance metrics (dexterity index, reciprocal condition number, and manipulability index) per robot were calculated.

The included .png files visualise the distribution of each index for each conducted experiment in a performance map. The maps were created with Matplotlib. 

 

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Acknowledgement:

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC-2023 Internet of Production - 390621612.
DOI: 10.5281/zenodo.10793686
title: Topological superconductivity in twisted bilayer WSe2: single band t-J model

description: Dataset of results related with the theoretical analysis of topological unconventional superconducting state within the t-J model as applied to the description of the twisted bilayer WSe2. The code in c++ which was used to produce the data is also provided. This data set is a result of research which was founded by National Science Centre, Poland (NCN) according to decision 2021/42/E/ST3/00128.
DOI: 10.5281/zenodo.13347763
title: Bayesian inference of the dense matter equation of state built upon extended Skyrme interactions [Data Set]

description:  

We provide the posterior distributions of the input parameters of the five main runs considered in the article "Bayesian inference of the dense matter equation of state built upon extended Skyrme interactions" (accepted to Phys. Rev. C, arXiv: 2403.19325).

Each row in each file corresponds to one equation of state. It contains 13 input parameters of the extend Skyrme interaction that define the effective interaction and that can be used in order to construct equations of state. The input parameters (columns, from left to right) and their dimensions are: 

C_0 (MeV*fm^3); D_0 (MeV*fm^3); C_3 (MeV*fm^{3+3*sigma}); D_3 (MeV*fm^{3+3*sigma}); C_eff (MeV*fm^5); D_eff (MeV*fm^5); t_4 (MeV*fm^{5+3*beta}); t_5 (MeV*fm^{5+3*gamma}); x_4; x_5; sigma; beta; gamma.

See the article for more details.
DOI: 10.5281/zenodo.13845680
title: Particle-hole asymmetric ferromagnetism and spin textures in the triangular Hubbard-Hofstadter model

description: Aggregated numerical data and analysis routines required to reproduce the figures in "Particle-hole asymmetric ferromagnetism and spin textures in the triangular Hubbard-Hofstadter model"
description: Just unzip and run the jupyter notebooks.
DOI: 10.5281/zenodo.4536624
title: Official Datasets for LHC Olympics 2020 Anomaly Detection Challenge

description: These are the official datasets for the LHC Olympics 2020 Anomaly Detection Challenge. Each "black box" contains 1M events meant to be representative of actual LHC data. These events may include signal(s) and the challenge consists of finding these signals using the method of your choice. <strong>We have uploaded a total of THREE black boxes to be used for the challenge. </strong> In addition, we include a background sample of 1M events meant to aid in the challenge. The background sample consists of QCD dijet events simulated using Pythia8 and Delphes 3.4.1. Be warned that both the physics and the detector modeling for this simulation may not exactly reflect the "data" in the black boxes. For both background and black box data, events are selected using a single fat-jet (R=1) trigger with pT threshold of 1.2 TeV. These events are stored as pandas dataframes saved to compressed h5 format. For each event, all reconstructed particles are assumed to be massless and are recorded in detector coordinates (pT, eta, phi). More detailed information such as particle charge is not included. Events are zero padded to constant size arrays of 700 particles. The array format is therefore (Nevents=1M, 2100). For more information, including a complete description of the challenge and an example Jupyter notebook illustrating how to read and process the events, see the official LHC Olympics 2020 webpage here. <strong>UPDATE: November 23, 2020</strong> Now that the challenge is over, we have uploaded the solutions to Black Boxes 1 and 3. They are simple ASCII files (events_LHCO2020_BlackBox1.masterkey and events_LHCO2020_BlackBox3.masterkey) where each line is the truth label -- 0 for background and 1 (and 2 in the case of BB3) for signal -- of each event in the corresponding h5 files (same ordering). For more information about the solutions, please visit the LHCO2020 webpage. <strong>UPDATE: February 11, 2021</strong> We have uploaded the Delphes detector cards and Pythia command files used to produce the Black Box datasets.
DOI: 10.5281/zenodo.4784188
title: Geographical database of the Uralic languages

description: <strong>How to cite</strong> When you use the datasets or maps, please also cite to the following paper introducing the whole of process from data collection, harmonization and visualization until releasing the data: <em>Rantanen, T., Tolvanen, H., Roose, M., Ylikoski, J. & Vesakoski, O. (2022) “Best practices for spatial language data harmonization, sharing and map creation - A case study of Uralic” </em> PLoS ONE 17(6): e0269648. https://doi.org/10.1371/journal.pone.0269648<em>.</em> <strong>Overview</strong> <em>The Geographical database of the Uralic languages</em> consists of past and current distributions of the Uralic languages both as the original digital spatial datasets and as finalized maps. The database has been collected by the interdisciplinary BEDLAN (Biological Evolution and Diversification of LANguages) research team in collaboration with experts of Uralic languages. The work has been financed by the University of Turku (UTU–BGG), Kone Foundation (UraLex, AikaSyyni), the Academy of Finland (URKO), UiT – The Arctic University of Norway and the University of Oulu, as well as the Finno-Ugrian Society. The data have been compiled for the purposes of doing spatial linguistic and multidisciplinary research, and to visually present the state-of-the-art knowledge of the Uralic languages and their dialects. Geographic distributions are visualized as vector data primarily by using polygon objects (speaker areas or language areas), and in some rare cases, by using points. Based on the language distributions, coordinates for the languages and their dialects (point locations) have also been defined.
DOI: 10.5518/356
title: Annotated Corpus of Arabic Al-Quran Question and Answer

description: AQQAC is a collection of approximately 2224 questions and answers about Al-Al-Quran. Each question and answer is annotated with the question ID, question word (particles), chapter number, verse number, question topic, question type, Al-Quran ontology concepts (Alqahtani & Atwell, 2018) and question source. The aim of this corpus is to provide a Question-Answering taxonomy for questions about Al-Quran. Additionally, this corpus might be used as a data set for testing and evaluating Islamic IR systems. The text of Al-Quran questions and answers were extracted from trusted two islamic sources: (1000 Su'al Wa Jawab Fi ALKORAN) was compiled by the famous Islamic scholar Ashur (2001). This book contains 1000 questions and answers about Al-Quran written in the Arabic language. Islam – Al-Quran and Tafseer is a website about Al-Quran that includes a description and a translation of Al-Quran and the reciting rules, the “Tajweed”. Additionally, this website has approximately 1224 questions and answers about Al-Quran in the Arabic language extracted from the Altabari Tafseer. Currently, this dataset contains 1224 annotated question-answers and the missing data that hasn’t been shared is due to copyright concerns.
DOI: 10.6084/m9.figshare.25009685.v2
title: Data for the manuscript "Oviposition strategies amphibians in ephemeral streams: a multi-species perspective"

description: Many amphibians are selective about where to lay eggs, as this greatly affects their offpsring’s survival. Theoretically, species sharing the same habitat are expected to experience similar selective pressures, leading to the prediction that they might share similar oviposition preferences. However, this hypothesis has not yet been tested. In this study, through an extensive field survey, we examined the oviposition site selection of four amphibian species (<i>Rana uenoi</i>, <i>Hynobius quelpaertensis</i>, <i>Bombina orientalis</i>, and <i>Dryophytes japonicus</i>) that reproduce in the same natural ephemeral stream. Our focus was on understanding how various abiotic and biotic factors influence their reproductive choices. We primarily found that drought avoidance is a universal selective pressure affecting all species, with a tendency to avoid laying eggs in smaller pools prone to drought. Species-specific responses to leaf litter and canopy coverage were observed, but none of the species' oviposition choices correlated with the quantity of stones in pools. The study also explored biotic influences, revealing species-specific trends in the selection of pools with conspecific and heterospecific juveniles, predators, and mosquito larvae, indicating a complex ecological interplay. These findings highlight the complexity of amphibian reproductive strategies, where decisions are not driven solely by a single factor such as the avoidance of predators or competitors but also by intricate assessments of multiple factors. The study highlights that amphibian oviposition in ephemeral streams is influenced by a diverse interplay of biotic and abiotic factors, essential for understanding their reproductive strategies in dynamic environments.
DOI: 10.6084/m9.figshare.25908841
title: <b>Experimentally Supported siRNA Efficacy Dataset</b>

description: Small interfering RNA (siRNA) has revolutionized biomedical research and drug development through precise post-transcriptional gene silencing technology. Despite its immense potential, siRNA therapy still faces technical challenges, such as delivery efficiency, targeting specificity, and molecular stability. To address these challenges and facilitate siRNA drug development, we have developed siRNAEfficacyDB, a comprehensive database that integrates experimentally validated siRNA efficacy data. This database contains 3544 siRNA records, covering 42 target genes and seven cell lines. It provides detailed information on siRNA sequences, target genes, inhibition efficiencies, experimental techniques, cell lines, siRNA concentrations, and incubation times. siRNAEfficacyDB offers a user-friendly web interface that makes it easy to query, browse and analyze data, enabling efficient access to siRNA-related information. In summary, siRNAEfficacyDB provides a useful data foundation for siRNA drug design and optimization, serving as a valuable resource for advancing computer-aided siRNA design research and nucleic acid drug development. siRNAEfficacyDB is freely available at https://cellknowledge.com.cn/siRNAEfficacy.
DOI: 10.6084/m9.figshare.27684222
title: Supplementary Material for: Asymptomatic parasitic worm thelazia callipaeda infection found during phacoemulsification: A case report

description: Introduction:We report a case of asymptomatic thelazia callipaeda infection discovered incidentally during phacoemulsification cataract surgery in March 2024. Case presentation: A 77-year-old male patient presented with complaints of blurred vision. During a slit-lamp examination, trichiasis was observed, but the patient had no foreign body sensation or itching. He was diagnosed with cataract and underwent phacoemulsification cataract surgery. During the surgery, a white, wriggling worm was discovered in the conjunctival sac and removed. It was later identified as thelazia callipaeda. The surgical eye was thoroughly washed and received anti-inflammatory medication postoperatively. No recurrence or new symptoms were reported during the 3-month follow-up period. Conclusions: Thelazia callipaeda infection can be asymptomatic and incidentally discovered. A detailed preoperative examination, such as turning over the upper and lower eyelids to check the conjunctival sac, is necessary before the surgery. When a worm is discovered during surgery, it is crucial to remove it completely and thoroughly clean and disinfect the conjunctival sac.
DOI: 10.6084/m9.figshare.27684717
title: Supplementary Material for: Genotype-phenotype correlation and feminizing surgery in Danish children with congenital adrenal hyperplasia

description: Introduction: Congenital adrenal hyperplasia (CAH) is characterized by a broad spectrum of symptoms.
This study aims to describe genotype-phenotype correlations, clinical manifestations at diagnosis, and the frequency of feminizing surgery in childhood.

Methods: A nationwide retrospective cohort study of patients diagnosed with CAH, aged ≤18, between 1943 and 2018. CAH was identified in national registries and validated through medical record reviews and phenotypically classified as salt-wasting (SW), simple virilizing (SV), or non-classic (NC) CAH. In a sub-cohort (diagnosed between 1999 and 2018) clinical data and feminizing surgery data were investigated. CYP21A2 variants were grouped as Null, A, B, C, and D.

Results: The cohort comprised 379 patients with CAH. Genotype-phenotype correlations were as follows: Null and SW (100%), A and SW (94%), B and SV (51%), and C and NC (75%). In the subcohort (n=159, females=99) the female-to-male ratios were: SW=1.5, SV=1.1, and NC=2.3. Symptoms of precocious pseudopuberty dominated at diagnosis (39%). Males presented with significantly advanced bone age by the time of diagnosis (p=0.0009). In 53% of females (n=53), virilization of the external genitalia was present at the time of diagnosis, and in 46% (n=46) this developed already prenatally. Of the prenatal virilized females 85% underwent early feminizing genitoplasty. Virilization was identified in both mild and severe genotypes. 

Conclusion: Milder genotypes do not accurately predict CAH phenotype or prenatally reject serious outcomes such as virilization. The frequency of early genitoplasty is high among females with prenatal virilization. The delayed diagnosis and non-diagnosis of especially males with mild CAH advocate for a more prominent role of genetic testing in the diagnostic and screening for CAH.
DOI: 10.5281/zenodo.10696014
title: Cretaceous bird from Brazil informs the evolution of the avian skull and brain
DOI: 10.5281/zenodo.12697784
title: Enhancing High-Resolution Forest Stand Mean Height Mapping in China through an Individual Tree-Based Approach with Close-Range LiDAR Data

description: We have developed a tree-based approach to create spatially continuous forest stand mean height maps across China through integrating high-point density, high-precision close-range LiDAR data and multisource remote sensing data. The accuracy analysis of the arithmetic mean height (Ha) and the weighted mean height (Hw) demonstrates the feasibility of the proposed method. A practical framework for forestry investigation based on close-range LiDAR was proposed. The mean values of Ha and Hw are 13.3 ± 3.3 m 11.3 ± 2.9 m on pixel level, respectively. Validation based on LiDAR and field sample data shows that the RMSE values, range from 2.6 to 4.1 m for Ha and  2.9 to 4.3 m for Hw, respectively, indicating that our approach outperforms existing forest canopy height maps derived from area-based approaches. Hopefully, our methods and maps will serve as a foundation for estimating carbon storage, monitoring changes in forest structure, managing forest inventory, and assessing wildlife habitat availability.