cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5327065.v1
title: RIFT: A Rule Induction Framework for Twitter Sentiment Analysis

description: The rapid evolution of microblogging and the emergence of sites such as Twitter have propelled online communities to flourish by enabling people to create, share and disseminate free-flowing messages and information globally. The exponential growth of product-based user reviews has become an ever-increasing resource playing a key role in emerging Twitter-based sentiment analysis (SA) techniques and applications to collect and analyse customer trends and reviews. Existing studies on supervised black-box sentiment analysis systems do not provide adequate information, regarding rules as to why a certain review was classified to a class or classification. The accuracy in some ways is less than our personal judgement. To address these shortcomings, alternative approaches, such as supervised white-box classification algorithms, need to be developed to improve the classification of Twitter-based microblogs. The purpose of this study was to develop a supervised white-box microblogging SA system to analyse user reviews on certain products using rough set theory (RST)-based rule induction algorithms. RST classifies microblogging reviews of products into positive, negative, or neutral class using different rules extracted from training decision tables using RST-centric rule induction algorithms. The primary focus of this study is also to perform sentiment classification of microblogs (i.e. also known as tweets) of product reviews using conventional, and RST-based rule induction algorithms. The proposed RST-centric rule induction algorithm, namely Learning from Examples Module version: 2, and LEM2 +" role="presentation" style="box-sizing: border-box; display: inline-table; line-height: normal; letter-spacing: normal; word-spacing: normal; word-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; position: relative;"&gt;++ Corpus-based rules (LEM2 +" role="presentation" style="box-sizing: border-box; display: inline-table; line-height: normal; letter-spacing: normal; word-spacing: normal; word-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; position: relative;"&gt;++ CBR),which is an extension of the traditional LEM2 algorithm, are used. Corpus-based rules are generated from tweets, which are unclassified using other conventional LEM2 algorithm rules. Experimental results show the proposed method, when compared with baseline methods, is excellent, with regard to accuracy, coverage and the number of rules employed. The approach using this method achieves an average accuracy of 92.57% and an average coverage of 100%, with an average number of rules of 19.14.
DOI: 10.17632/c7n77bdtcm
title: Bilingual Question-Answering Dataset on Financial Literacy for Bengali Speakers

description: This is a bilingual question-answering dataset aimed at improving financial literacy for Bengali speakers. 

It contains a total of 10,412 Q&A pairs, split equally into 5,206 pairs in Bangla and 5,206 pairs in English.

The dataset is constructed from financial contexts extracted from PDFs on the National Board of Revenue (NBR) website.
DOI: 10.17632/kmn5zkg6gj
title: Data for: An experiment and analysis of the temperature rise during cortical bone drilling by vibration-assisted drilling methods

description: Temperature rise data by conventional drilling method and vibration-assisted drilling method.
DOI: 10.6084/m9.figshare.24151020.v1
title: Dataset Sabbagh 2023

description: Studies of host physiology in response to parasite infection tend to focus on impacts at the whole-organism level such as aerobic metabolic rates, body condition, behavior, etc. Very few of these studies investigate cellular mechanisms that may very well explain alterations to metabolic rates and body condition often observed in infected organisms, and even fewer compare these cellular mechanisms across populations. Mitochondria are the organelles responsible for energy production and are linked to whole-animal metabolic rates as well as body condition. Mitochondria are also implicated in the production and regulation of reactive oxygen species, molecules that play an important role in cellular immune responses. In this manuscript, we studied the activity of some key metabolic and antioxidant enzymes in three populations of wild pumpkinseed sunfish (<i>Lepomis gibbosus</i><i> </i>(Linnaeus, 1758)) naturally infected by the bass tapeworm (<i>Proteocephallus ambloplitis</i> (Leidy, 1887)). Enzymatic activity was measured in the liver tissue, the most infected organ by the cestodes, and linked to infection intensity and fish body condition. We found that cestode infection was associated with reduced lipid metabolism and increased lactic fermentation, suggesting that infection may alter oxygen availability in host tissues. Additionally, population body condition varied differently with cestode density; positive as well as negative correlations where found, depending the population. Some enzymatic activity also varied among populations, such as the activity of the electron transport system and the antioxidant glutathione peroxidase, suggesting the adoption of different immunological responses. The differences could be attributed to ecological and demographic differences, factors that may influence the physiological effects and resistance of populations to parasite infections. These results highlight the importance of accounting for infection when studying animal physiology and we hope that the publication of this work will help guide future research on this topic.
DOI: 10.6084/m9.figshare.24998318.v1
title: Code for running statistical reconstruction and performance tests on case study

description: Archive of R and TMB (cpp) code for performing statistical reconstruction of the spatial pattern of the Household Family Count attribute from the Census 2021.
DOI: 10.17632/4jxchjhvbp
title: KLoSA longitudinal (w1 ~ w8) depressive symptoms and satisfaction scales

description: Depressive symptoms dynamically fluctuate with time rather than remain stable. Few studies examined how longitudinally assessed the within-person effect of depressive symptoms correspond with changes in subjective perceptions of health, economic status, and social relationships. This study focused on adults from midlife to older age in the Korean Longitudinal Study of Aging (KLoSA). The survey assessed depressive symptoms and domains of satisfaction throughout eight waves of repeated follow-ups every 2 years. The analysis examined the associations of life satisfaction domains with between-person (cross-sectional) and within-person (longitudinal) effects. We found that the extent of correlation strength was generally lower in the within-person than between-person associations. The health and economic status satisfactions showed a relatively higher within-person correlation, indicating that the measures correspondingly fluctuated with depressive symptoms across time. On the contrary, satisfaction in spousal and children relationships showed minimalized correlations compared to between-person correlation. Our findings suggest that between-person individual differences during later life are more characterized by compounded sources of variation, including pre-existing vulnerabilities. Moreover, specific domains of life satisfaction are more reflective of within-person effects. D3 – Depressed mood D4 – Effortful D5 – Doing well D7 – Sleep difficulty D8 – Without much complaint D9 – Feeling lonely D10 – Cannot get going sat1 - health satisfaction sat2 - economic satisfaction sat3 - spousal satisfaction sat4 - children satisfaction sat5 - overall satisfaction
DOI: 10.17632/nrkddbmxsh
title: A tectonic map of the Orientale Basin on the Moon

description: All mapping was done in ArcGIS Pro 3.4 on a scale of 1:100,000 while increasing or decreasing the scale to make observations. The mapping was carried out on Moon LRO LROC WAC Global Morphology Mosaic 100m*, complimented with the Moon LRO LOLA - SELENE Kaguya TC DEM Merge 60N60S 59m**. Using these data sets, we mapped geologic structures including normal faults, thrust faults, the rims of the basin, cliffs within the basin, rilles, and a few ridges interpreted to be anticlines. All structures were mapped with polylines by manually placing vertices at locations where the structure has a change in orientation. These line features were exported as a shapefile. The mapping criteria are as follows:

1 Normal Faults: Linear borders of troughs (elongated negative relief structures), often straight map pattern.
2 Thrust Faults: Scarp bordering positive relief symmetric or asymmetric ridges, often sinuous map pattern.
3 Rim/Cliff: These are cliffs representing the rings of the basin, as indicated by a sharp decrease in elevation along a steep scarp. 
4 Inferred Rim: Same as 3, lower mapping confidence.
5 Rilles: These are sinuous troughs that were mapped along their center.
6 Anticline: Positive relief ridges without clear surface breaks of scarps. They were mapped along the crest of the ridge.
7 Lineament: Unspecified lineament that were large enough to be recognized in the image data sets but no origin could be assigned. 

*https://astrogeology.usgs.gov/search/map/moon_lro_lroc_wac_global_morphology_mosaic_100m
**https://astrogeology.usgs.gov/search/map/moon_lro_lola_selene_kaguya_tc_dem_merge_60n60s_59m

This map was presented as part of the 2025 Center for Undergraduate Research Opportunities (CURO) symposium at the University of Georgia on April 7th 2025: A tectonic map of the Orientale Basin on the Moon.
DOI: 10.6084/m9.figshare.11983854.v1
title: cgm.csv

description: Minimal dataset for PLOS ONE article<br>
DOI: 10.6084/m9.figshare.24268744.v1
title: HD-Biomass-India

description: The provided Data and Codes are part of the study titled "Improving Above Ground Biomass Estimation in Tropical Indian Forests" which has been submitted to "Ecological Informatics".Field inventory data include tree diameter (DBH) and tree height (H) measurements (all trees DBH&gt;10cm). Tree Diameter (DBH) was measured in centimeters (cm) with 0.1 cm (1mm) precision using the measuring tape, and tree height was measured in meters (m) using the Laser Range Finder (Forestry Pro II).The script focuses on developing Height-Diameter (HD) models using field inventory data and comparing these models with existing Global H-D models. This is achieved by utilizing the BIOMASS R package.After generating H-D models, tree heights are predicted using the tree diameter measured on the field. Then, the plot level biomass is estimated using various allometic models (FSI Volume equation and Pan Tropical models by Chave et al., 2014). Sample data sets are provided along with the script on the GitHub. Data are given in "India_height_dbh_8179.csv" & "India_Plot_AGB_Test.csv" file for for HD modeling & Plot Biomass EstimationUse the script "Script_India_HD_Model.R" for HD model and AGB Estimation. Files "TreeBio.R", "PlotBio.R" will codes enable tree and plot biomass estimation using Forest Survey of India, FSI Volume equation. "Volume_Equations_Database_FSI.csv" file contains the volume equation database.
DOI: 10.6084/m9.figshare.26809684.v3
title: Data -.xlsx

description: Wasps, although less recognized as good pollinators, also feed on nectar and pollinate flowers. Specialized pollination systems, such as orchids that mimic the pheromones of female wasps to attract males, are complex and specific. This interaction occurs with some Thyninnae wasps that also visit flowers to obtain nectar and perform other ecosystem functions. Therefore, the objectives of this study were: Survey literature on interactions between these wasps and flowers globally; Assess patterns of flower visitation using interaction network metrics; Enhance records of interactions by analyzing pollen on the bodies of species from the Neotropical region. To achieve this, we conducted a comprehensive search in online databases such as Web of Science and Google Scholar to study Thynninae and plants, and reviewed images on platforms like Flickr and iNaturalist. Interaction networks between plants and wasps were constructed, where we evaluated modularity, the role, and the degree of species. We analyzed pollen on 16 Thynninae species from different biomes in Brazil and Colombia, identifying pollen grains and assessing the diversity of plants visited. We recorded 359 interactions between Thynninae and plants, with 130 for nectar, 228 through sexual deception, and one associated with feeding behavior. We found 41 genera of wasps interacting with 41 genera of plants. The most frequent nectar-seeking interactions between Thynninae wasps and flowers were with Eucalyptus (20) and Leptospermum (19). The interaction network presented species with low degree, meaning few interaction records per species, and a modular network structure. Pollen analyses revealed that Pseudoscotaena aff. polistoides uses Achyrocline albicans as an important food source. The study highlights the importance of Myrtaceae as a significant nectar source for these wasps. We documented the first records of Thynninae in the Neotropical America and suggest future studies on their behavior and pollination efficiency.
DOI: 10.6084/m9.figshare.27158754.v1
title: Supplementary Material for: A Rare Case of Capnocytophaga canimorsus Meningitis in an immunocompetent Patient: A successful Outcome with a Short course of Antibiotics

description: Introduction: Capnocytophaga canimorsus is a gram-negative bacterium found in the oral flora of dogs and cats, transmitted to humans through bites, licks, or scratches. Infections can lead to severe manifestations, including meningitis, particularly in immunocompromised individuals. 
Case presentation: A 46-year old immunocompetent man presented with somnolence, headache, and fever after being licked by his dog. Neurological examination revealed signs of meningeal irritation, and cerebrospinal fluid analysis showed an elevated white cell count and protein levels consistent with bacterial meningitis. Treatment followed Dutch guidelines with amoxicillin, ceftriaxone, and dexamethasone, resulting in rapid clinical improvement. Microbiological confirmation of C. canimorsus followed later. The patient was treated with antibiotics for the duration of one week, and remained symptom-free after being discharged. 
Conclusion: C. canimorsus meningitis, although rare, poses diagnostic challenges due to its variable presentation and slow growth in culture. Empirical therapy guided by susceptibility testing contributes to favorable outcomes. This case underscores the importance of considering a C. canimorsus infection in patients with animal exposure and of taking diagnostic findings, precedent, and clinical response into account when determining the treatment duration.
DOI: 10.17632/58rydc6vwc
title: An EEG Dataset for Brainwave Recording During Emotion Elicitation via Video Clips

description: An EEG dataset for Recording Brain Electroencephalography Signals Based on Emotion Elicitation Video Clip with voice or without voice. unicorn hybrid black EEG device (8 channel) is used to record the data. of 30 participants (20 male and 10 female). In a research on emotion recognition, 30 participants—10 females and 20 males—were shown four different video clips that were intended to elicit different emotions: fear, sorrow, happiness, and neutrality. EEG signals were continuously captured for the whole two minutes of each movie. This recorded each subject's EEG activity for two minutes throughout each mood, showing how their brains responded to the emotional cues. Apart from regular sound-assisted movies, the research also featured four specially made emotion-transmitting videos for those who are deaf. This made it possible to analyze brain activity in great detail in response.
Data sets consist three folder namely EEG signals (RAW Data) , Participants information and Video clips.
DOI: 10.17632/fwtcf2ybbn
title: Data for: Astrocyte inflammasome signaling modulates hippocampal plasticity

description: Single cell RNA-seq conducted on pooled hippocampal tissue from female Casp1(fl/fl) Aldh1l1-CreERT2(+/-) mice and Casp1(fl/fl) littermate controls (n = 3 mice per group). Cre-positive samples are denoted as "KOAst" and Cre-negative samples are denoted as "Control". Code used to analyze this dataset can be found at: https://github.com/LukensLab/Casp1Aldh1l1-scRNAseq
DOI: 10.17632/z8zm3ytkcx
title: Multi-temporal dataset of stand and canopy structural data in temperate and Mediterranean coppice forests

description: We provided long-term stand and canopy structural data from permanent monitoring plots representative of some most diffuse temperate and Mediterranean forests, under different coppice management regimes. Periodic inventories were performed in the surveyed plots since the 70s. Annual litterfall production and its partitioning (leaf, woody, reproductive parts) and optical canopy measurements using the LAI-2000 Plant Canopy Anayzer were performed every year in these plots since the 90s. These data can be used for evaluating the influence of coppice management on stand and canopy structure, the parametrization of radiative transfer models that require accurate ground truth data, as well as the calibration of high to medium resolution remotely-sensed data.

The former version of the dataset was described in the article by Chianucci et al. 2019 (https://doi.org/10.1007/s13595-019-0862-7)
DOI: 10.6084/m9.figshare.3799503.v1
title: Selective Reporting Bias in Neurology. Project date: 06/01/16-07/01/16

description: Working data sheet for entire project. Included are inclusion/exclusion form with criteria. Data extraction sheets from SRDR.
DOI: 10.17632/cpdmnnbt2r
title: Kratky Trombe Wall study

description: In this study we retrofitted an existing Trombe wall to be able to contain living Kratky based plants. The main goal was to extend the usability of the space as it was in use as a heat-capturing device for the adjacent building only during the colder half of the year, staying closed and unused all the remaining time. Also, the additional water mass contained in the plants' roots and the shading provided by the living plants probably will affect the space's thermal balance affecting the final Trombe wall's performance, which are also an interesting factor to explore. In its normal configuration, the space in question gets quite overheated, so seeing how the plants will react and develop inside a hot TW is another question worth exploring.

Mainly, we have used detailed (in 10-minute normalized intervals) thermal observational data made more than a year before the experiment in and around the TW space, as well as weather data collected at the location, which were supplemented by more readings, in particular, of surface and water temperatures collected at different height levels within the TW space, collected during the Experiment year (July 2022 to June 2023). The year before (July 2021 to June 2022, named Baseline year) was used to contrast both datasets against each others. In addition, after finishing the experiment, during 4 months (July to October 2023, named Post-experiment year) also, bottles with water and no plants were placed in the TW space to outline differences between plants and inert water mass effect on the location. Some additional readings were made, such as CO2 levels, water mass amounts within the space, plants weight and death rates were tracked and recorded as well. 

While we cannot compare very fairly the previous Trombe wall to a green Trombe wall space as we had so somewhat alter its configuration to be able to contain plants inside (installed a powerful exhaust and surface ventilation system, added shelves and plants shading the space, introduced some appliances, glass and water increasing thermal mass about 151%, kept the door open most of the year to insure adequate plant aeration, etc.), we can observe a notable difference in the thermal conditions, mainly, an important cooling, humidifying and stabilizing effect on TW cavity air throughout the year, making it much less overheated and volatile compared to the BY. 

The detailed thermal observations are available at the hourly and daily charts files, with added sensor locations and experiment timeline. The monthly and yearly summary charts were made from monthly samples of those files using Origin software. Attached drawings describe in detail the geometry and construction of the study location. Diagrams and figures outline the basic concepts in use, and photos show the study locations.
DOI: 10.17632/crp8k3dgj5
title: Belief Updating in Euthymic Bipolar Disorder

description: Thirty-six bipolar patients completed the belief update task (Sharot et al., 2011) that estimates their ability to update beliefs in response to positive and negative information. The subsequent time in euthymia (i.e. free from any mood episode) has been recorded in months. We hypothesise that the learning pattern of bipolar patients and specifically their sensitivity to positive relative to negative information ("valence dependent learning") can predict the timing of their subsequent relapse.