cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28377818.v4
title: Data for "Leaf and root economics space in <i>Fraxinus mandshurica</i>: A test of the multidimensional trait framework within species"

description: Trait-based approaches provide a useful framework for characterizing plant strategies and predicting plant performance. However, these approaches have mainly been based on species trait means, thus ignoring the important role of intraspecific trait variation. We measured a suite of leaf and absorptive root traits on individuals of <i>Fraxinus mandshurica</i> in a temperate forest to explore the patterns and drivers of intraspecific trait variation and to evaluate intraspecific trait-performance relationships. Principal component analyses revealed multiple ecological strategies of plants, via variation in leaf and root traits. We found multidimensional covariation in both leaf and absorptive root traits at the intraspecific level. We found no relationship between leaf and root trait dimensions. Root trait dimensions were mainly influenced by environmental conditions, whereas leaf trait dimensions were mainly influenced by tree size. Absorptive root traits are better predictors of tree performance than leaf traits. We also found that the trait-performance relationship varied with tree size.Overall, our study emphasizes the necessity for attention to intraspecific trait variation and correlation, and contributes to a comprehensive understanding of how plants respond to multiple abiotic and biotic drivers. Additionally, we highlight the need to combine above- and below-ground traits to improve predictions of plant performance, and hence predictions of forest dynamics and ecosystem functions.<br>
DOI: 10.17632/2r5r5t8j5k
title: Mitochondrial fumarate inhibits Parkin-mediated mitophagy

description: LC-MS/MS raw spectra and processed quantification data are presented in Fig. S11A and Fig. S2F
DOI: 10.17632/htrvwm7k2h
title: GUI4dft — A SIESTA oriented GUI

description: The Graphical User Interface for Density Functional Theory (GUI4dft) is a new software for users of SIESTA. It is a free cross-platform software with a graphical user interface. GUI4dft allows the user to work with standard SIESTA files and prepare manuscript-quality figures of the atomic structure and properties such as three-dimensional charge density distributions, DOS, PDOS, and band structure. GUI4dft is written in Python language and falls under an MIT license.
DOI: 10.17632/z732f9pwxt
title: Trash Detection Dataset

description: Data object detection dataset.It contains annotated images of different types of waste, aiming to support the development of automated waste sorting systems using computer vision techniques.

The dataset includes 7 classes: BIODEGRADABLE, CARDBOARD, GLASS, METAL, PAPER, PLASTIC, and a general class labeled ALL. Each image is annotated with bounding boxes in YOLO format, specifying the location and class of each waste item.
DOI: 10.6084/m9.figshare.13150943.v1
title: Taxon-threat-impact dataset

description: Here we compile the first complete, validated, and consistent taxon-specific threat and threat impact dataset for all 1,795 nationally listed threatened plants and animals in Australia. The dataset utilises the IUCN methods to identify threat types, their relative impacts, as well as defining eight broad-level threats and 48 sub-category threats to help inform conservation actions needed within Australia.
DOI: 10.6084/m9.figshare.24990996.v1
title: Human Serum Lipidomics data from Evans et al Multi-omics and imaging mass cytometry characterization of human kidneys to identify pathways and phenotypes associated with impaired renal function

description: Human Serum Lipidomics dataset from Evans et al Multi-omics and imaging mass cytometry characterization of human kidneys to identify pathways and phenotypes associated with impaired renal function
DOI: 10.6084/m9.figshare.3568602.v1
title: Supplement 1. Original, sub-sample adjusted specimen count data for the fossil assemblages of Wet and Blanche caves.

description: File List WetandBlancheCavedata.csv (MD5: 1cfb51d4e9abb5ca52dde9cc3f8eeae5) Description The supplement provides the raw count (number of identified specimen, NISP) data for the fossil assemblages of Wet and Blanche caves. For murid taxa that were sub-sampled, the NISP data have been corrected as described in the manuscript. Each row corresponds to a single taxon identified from the studied assemblages. Columns contain the NISP data for each specimen corresponding to each unit of Wet and Blanche Cave and the associated phases.
DOI: 10.6084/m9.figshare.5123848.v1
title: Supplementary Material for: Photodynamic Properties of Vital Dyes for Vitreoretinal Surgery

description: The purpose of this study was to evaluate photodynamic properties of indocyanine green (ICG), brilliant blue G (BBG) and trypan blue (TB) as currently used vital dyes for chromovitrectomy. Under consideration of intraoperative illumination intensities and dye concentrations, a simulative in vitro investigation was set up. Therefore, standardized dilutions of original ICG, BBG and TB vials were irradiated at a wavelength of 366 nm with an intensity of 14 µW/cm<sup>2</sup> between 0 and 48 h. After this, all samples were measured spectroscopically in a 220- to 750-nm bandwidth. Analyzing the vital dyes over the time course, an exponential photolysis was observed for ICG, whereas BBG and TB presented photostable properties. Regarding ICG, 5% of the concentration was degraded to toxic metabolites every 20 min. For this reason, our study provides evidence that intraocular dye concentrations and modern endoillumination systems alone cannot fully prevent ICG photodegradation.
DOI: 10.17632/bd54rctnpg
title: Effect of Human Resource Planning Process on Organizational Performance in Local Government Institutions in Rwanda

description: This dataset was collected as part of a study on the Effect of Human Resource Planning Process on Organizational Performance in Local Government Institutions in Rwanda, a case study of Kicukiro District. The study was conducted having a sampled of 78 employees of Kicukiro District. Universal sampling technique was used. 5-points Likert Scale questionnaire and documentation methods were used to collect data relating to the topic. After analysis, the findings were presented according to the specific objectives. Basing on findings of the study, 83.3 % of respondents strongly agreed and 16.7% agreed that Human Resources Planning is given enough priority in Kicukiro district and the performance of Kicukiro district was highly appreciated, 70.5% of respondents strongly disagreed and 29.5% disagreed that HRP has not affected performance of Kicukiro district. Human Resources Planning process has a high positive correlation to the performance which is equal to .803*and the sig. is .000 which is less than 0.01. The main conclusion was made that there is significant relationship between Human Resources Planning and performance of Kicukiro district.
DOI: 10.17632/rvt89578g5
title: Swahili Verb Conjugation Dataset: A Comprehensive Analysis of Agglutination and Verb Structure Across Tenses and Persons

description: The Swahili Verb Conjugation Dataset is an extensive resource containing over 319,156 meticulously compiled verb forms, designed to capture the intricate agglutinative morphology of Swahili. This Bantu language, widely spoken across East Africa, features a highly developed inflectional system in which verbs are modified through prefixes and suffixes to encode grammatical categories such as tense, aspect, mood, person, and number.

Dataset Overview
The dataset is provided as a single CSV file, with each row representing a unique verb root (mzizi_wa_neno) and its corresponding conjugated forms across various linguistic dimensions:

Tenses
The dataset covers five fundamental tenses—past, perfect, present, future, and simple present—each essential for understanding the temporal structure of Swahili. These tenses exhibit significant differences from their English counterparts, making the dataset particularly valuable for natural language processing (NLP) tasks requiring precise tense handling.

Persons and Numbers
Conjugations are provided for the 1st, 2nd, and 3rd persons in both singular (umoja) and plural (wingi) forms. Each person is conjugated across all five tenses, offering a comprehensive representation of subject-verb agreement in Swahili.

Moods
The dataset incorporates a range of moods, including the habitual mood (hali_ya_mazoea) and various auxiliary and hypothetical forms. These include modal constructs like kum (ability), kuwa (to be), and conditional forms such as ninge, unge, ange.

Dataset Structure
The dataset includes the following columns:

Verb Root (mzizi_wa_neno): The base form from which all conjugated forms are derived.
Conjugated Forms: Columns detailing conjugations for the 1st, 2nd, and 3rd persons in singular and plural forms across all tenses. For example, nafsi_ya_kwanza_umoja_wakati_uliopita specifies the 1st person singular in the past tense.
Applications
This dataset is an invaluable resource for both computational and theoretical linguistic research:

Natural Language Processing: The morphological richness of Swahili verbs makes the dataset particularly suited for NLP tasks, including tokenization, lemmatization, syntactic parsing, and machine translation.
Linguistic Analysis: Researchers can use the dataset to study Swahili’s verb morphology, tense-aspect systems, and comparative analyses with other agglutinative languages.
The dataset’s comprehensive coverage of conjugations, including auxiliary and hypothetical forms, ensures its utility for a wide range of applications, from building robust language models to exploring cross-linguistic phenomena in morphology and syntax.
DOI: 10.6084/m9.figshare.25325503.v1
title: SPSS Data set-DM-QoL.sav

description: The data set is about a cross-sectional assessment of quality of life among people with diabetes.
DOI: 10.6084/m9.figshare.27263433.v1
title: Human oral squamous cell carcinoma (OSCC) dataset -- sample 2

description: This is a spatial transcriptomics dataset generated from human HPV-negative oral squamous cell carcinoma (OSCC) tissue using the 10x Genomics Visium platform.• Dataset provided by: University of Calgary• Original dataset link: http://www.pboselab.ca/spatial_OSCC/
DOI: 10.60893/figshare.adv.25970359.v1
title: Supplementary Material

description: TABLE S1. Parameters of the nine 3D-printed microneedle arrays. Resin properties are from the Formlabs Materials Library.
DOI: 10.17632/j5k9hnrnhm
title: Entanglement in Quantum Mechanics and human behaviour

description: These graphs that the Python code has generated simulates the creation and visualisation of an entangled quantum state representing the personality traits of two individuals, Alice and Bob. Here's a breakdown of the code and its purpose:
1. Importing Libraries:
• numpy is used for scientific computing and array operations.
• matplotlib.pyplot is used for creating visualisations.
2. Defining Quantum States:
• I and E are defined as NumPy arrays representing the two possible states for each individual's personality trait: Introverted (I) and Extroverted (E).
3. Generating Random States:
• np.random.randint(2, size=2) generates two random numbers between 0 and 1 for both Alice and Bob.
• These numbers are used to choose between the two personality states for each individual.
4. Setting Individual States:
• Based on the random choices, alice_state and bob_state are assigned the respective personalities (Introverted or Extroverted).
5. Adding Variations:
• The code allows for variations within each personality state by adding another random choice to the second element of each state array.
6. Entanglement:
• np.kron performs the tensor product operation, creating an entangled state representing the combined states of Alice and Bob.
7. Visualization:
• The code utilizes matplotlib to create a bar graph for each individual's state and the entangled state.
• The graph displays the probability amplitudes for each personality trait.
• The y-axis limits are adjusted slightly to accommodate the potential variations introduced earlier.
Purpose of the Code:
This code demonstrates a simplified simulation of entanglement in quantum mechanics. It aims to illustrate how quantum states can be combined to create correlated states, where individual measurements become dependent on each other. In this case, it represents how Alice and Bob's personalities, even though separate, become intertwined through their connection.
The code also serves as a visual tool for understanding the concept of entanglement, making it easier to visualize the probability amplitudes associated with different states and the interconnectedness of quantum systems.
It is important to note that this is a simplified representation and does not capture the full complexity of real-world quantum phenomena. However, it provides a valuable starting point for exploring and understanding the fundamental concepts of quantum mechanics.
DOI: 10.6084/m9.figshare.14406488.v1
title: Supplementary Material for: Hypercapnia in COPD Patients Undergoing Endobronchial Ultrasound under Local Anaesthesia and Analgosedation: A Prospective Controlled Study Using Continuous Transcutaneous Capnometry

description: <b><i>Background:</i></b> Flexible bronchoscopy (FB) in analgosedation causes alveolar hypoventilation and hypercapnia, the more so if patients suffer from COPD. Nonetheless, neither is capnometry part of standard monitoring nor is there evidence on how long patients should be monitored after sedation. <b><i>Objectives:</i></b> We investigated the impact of COPD on hypercapnia during FB with endobronchial ultrasound (EBUS) in sedation and how the periprocedural monitoring should be adapted. <b><i>Methods:</i></b> Two cohorts of consecutive patients – with advanced and without COPD – with the indication for FB with EBUS-guided transbronchial needle aspiration in analgosedation received continuous transcutaneous capnometry (p<sub>tc</sub>CO<sub>2</sub>) before, during, and for 60 min after the sedation with midazolam and alfentanil. <b><i>Main Results:</i></b> Forty-six patients with advanced COPD and 44 without COPD were included. The mean examination time was 26 ± 9 min. Patients with advanced COPD had a higher peak p<sub>tc</sub>CO<sub>2</sub> (53.7 ± 7.1 vs. 46.8 ± 4.8 mm Hg, <i>p</i> &lt; 0.001) and mean p<sub>tc</sub>CO<sub>2</sub> (49.5 ± 6.8 vs. 44.0 ± 4.4 mm Hg, <i>p</i> &lt; 0.001). Thirty-six percent of all patients reached the maximum hypercapnia after FB in the recovery room (8 ± 11 min). Patients with COPD needed more time to recover to normocapnia (22 ± 24 vs. 7 ± 11 min, <i>p</i> &lt; 0.001). They needed a nasopharyngeal tube more often (28 vs. 11%, <i>p</i> &lt; 0.001). All patients recovered from hypercapnia within 60 min after FB. No intermittent ventilation manoeuvres were needed. <b><i>Conclusion:</i></b> A relevant proportion of patients reached their peak-pCO<sub>2</sub> after the end of intervention. We recommend using capnometry at least for patients with known COPD. Flexible EBUS in analgosedation can be safely performed in patients with advanced COPD. For patients with advanced COPD, a postprocedural observation time of 60 min was sufficient.
DOI: 10.6084/m9.figshare.22214266.v1
title: Raw data GCMS (Table 1 and Figure 7)

description: Raw data to support Table 1 and Figure 7
DOI: 10.17632/skdmsd3t24
title: Data for: Sequence stratigraphy of the ca. 1730 Ma Wollogorang Formation, McArthur Basin, Australia

description: This file contains all core logs and petrophysical logs of the studied succession.
DOI: 10.6084/m9.figshare.20406326.v1
title: Supplementary data for Islam et al. 2022 - Extended cohort reanalysis

description: All results from the <em>de novo </em>extraction of mutational signatures from the extended dataset.
DOI: 10.6084/m9.figshare.5127178.v1
title: Supplementary Material for: Dynamic Cerebral Autoregulation Is Transiently Impaired for One Week after Large-Vessel Acute Ischemic Stroke

description: <b><i>Background:</i></b> Dynamic cerebral autoregulation (DCA) is the continuous counterregulation of cerebral blood flow to fluctuations in blood pressure. DCA can become impaired after acute stroke, but it remains unclear to what extent and over what interval this occurs. <b><i>Methods:</i></b> We included 28 patients (NIHSS = 12 ± 6.5, age = 68.4 ± 17.1, 16F) with acute large-vessel ischemic stroke in the middle cerebral artery territory and 29 healthy controls (mean age 54.9 ± 9, 16F). DCA was assessed by simultaneous measurement of blood pressure together with blood flow velocities using finger plethysmography/arterial catheter and transcranial Doppler over three 10-minute recordings on days 0-2, 3-6 and ≥7 days after stroke. Transfer function analysis was applied to calculate average phase shift (PS) in the low frequency range (0.06-0.12 Hz). Less PS indicated poorer autoregulation. The affected side was compared with the unaffected side and controls. Univariate comparisons of data were performed using t tests at single time points, and generalized estimating equations with an exchangeable correlation matrix to examine the change in PS over time. <b><i>Results:</i></b> At mean 1.3 ± 0.5 days after stroke the average PS in the affected hemisphere was 29.6 ± 10.5 vs. 42.5 ± 13 degrees in the unaffected hemisphere (p = 0.004). At 4.1 ± 1 days, the PS in affected and unaffected hemisphere was 23.2 ± 19.1 vs. 41.7 ± 18.5 degrees, respectively (p = 0.003). At mean 9.75 ± 2.2 days stroke there was no difference between the affected and the unaffected hemisphere (53.2 ± 28.2 vs. 50.7 ± 29.2 degrees, p = 0.69). Control subjects had an average PS = 47.9 ± 16.8, significantly different from patients' affected hemisphere at the first two measurements (p = 0.001), but not the third (p = 0.37). The PS in controls remained unchanged on repeat testing after an average 19.1 days (48.4 ± 17.1, p = 0.61). Using the last recording as the reference, the average PS in the affected hemisphere was -23.54 (-44.1, -3) degrees lower on recording one (p = 0.025), and -31.6 (-56.1, -7.1) degrees lower on recording two (p &lt; 0.011). Changes in the unaffected hemisphere over time were nonsignificant. <b><i>Discussion:</i></b> These data suggest that dynamic cerebral autoregulation is impaired in the affected hemisphere throughout the first week after large-vessel ischemic stroke, and then normalizes by week two. These findings may have important implications for acute blood pressure management after stroke.
DOI: 10.5281/zenodo.15567823
title: Training dataset for finetuned indobert

description: This data consist from the top 5 stock investing application in Indonesia, I select the apps that only have more than 1 million downloads in Google Play Store. The source of this data solely from Google Play Store scraped with Google-play-scraper library in python. This data was taken with purposive sampling method with these rules:- Only data from 1 January 2024 until 15 January 2025.- Only reviews with more than three words.- We take the smallest number of reviews from all apps, so if App X have 300 reviews, App Y 250 reviews, App Z 232 reviews. We take the last 232 reviews from all application to ensure fairness with the number of reviews taken from all apps.
DOI: 10.5281/zenodo.15567824
title: Training dataset for finetuned indobert

description: This data consist from the top 5 stock investing application in Indonesia, I select the apps that only have more than 1 million downloads in Google Play Store. The source of this data solely from Google Play Store scraped with Google-play-scraper library in python. This data was taken with purposive sampling method with these rules:- Only data from 1 January 2024 until 15 January 2025.- Only reviews with more than three words.- We take the smallest number of reviews from all apps, so if App X have 300 reviews, App Y 250 reviews, App Z 232 reviews. We take the last 232 reviews from all application to ensure fairness with the number of reviews taken from all apps.
DOI: 10.6084/m9.figshare.7764083.v2
title: sample associated metadata for 188 ancient bison samples

description: Sample associated metadata for 188 ancient bison samples.<br>
DOI: 10.17632/ch3y8dtg5f
title: Navigating Diversity with AI: Innovative Approaches to Multicultural Education

description: In today’s era of globalization, cultural diversity in the classroom presents both challenges and opportunities
for educators. Artificial Intelligence (AI) offers an innovative approach to addressing these challenges,
providing solutions that support more inclusive and effective multicultural education. This opinion piece
explores how AI can be used to navigate cultural diversity in education, emphasizing personalization of
learning, promotion of cultural inclusivity, and addressing ethical issues. Based on recent survey data and
reports, AI shows great potential in enhancing the learning experience for students from diverse cultural
backgrounds, reducing achievement gaps, and supporting cross-cultural engagement and communication.
This research underscores the importance of developing fair and transparent AI systems to ensure that these
technologies promote equity and inclusivity in multicultural education. The future of education will be
greatly influenced by the harmonious integration of AI and diversity, preparing students to succeed in an
increasingly connected world.
DOI: 10.17632/n69rdbph73
title: Adoption of Artificial Intelligence-based e-Learning Platforms in Institutes of Excellence: extending UTUAT with Technophobia, Technophilia, Content Quality, and Functional Quality.

description: This research study aims to enhance our understanding of the factors influencing the adoption of AI-ELP by extending the Unified Theory of Acceptance and Use of Technology (UTAUT). The extended model incorporates technophobia, technophilia, content quality, and functional quality. Through a comprehensive review of the existing literature, this study proposes an augmented conceptual framework that considers the unique psychological tendencies of users toward technology (technophobia and technophilia) and the quality aspects of the AI-ELP platform (content quality and functional quality). By incorporating these additional factors, this research provides a more holistic understanding of users’ acceptance and use of AI-ELP. This study employed quantitative research methods, including surveys and statistical analysis, to collect and analyze data from research scholars at IIT, Kharagpur. These findings will contribute to theoretical advancements and practical implications by shedding light on the complex dynamics of adopting AI-ELP. The research outcomes are expected to guide educational practitioners and policymakers in developing strategies to address user concerns, enhance the quality of content and platform functionality, and promote the effective adoption and use of AI-ELP in educational settings.
DOI: 10.6084/m9.figshare.22691092.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.