cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/x42dw2zcww
title: Patient Performance and Outcomes after Unilateral Peripheral Nerve Injury

description: Data collected from 48 adult human participants with unilateral upper extremity peripheral nerve injury. The data include 89 variables for each participant, including measures of performance, hand usage, life-relevant outcomes, and injury and demographic factors. Data for each participant were collected in a single visit, and participants were recruited based on referral from one nerve surgery clinic or one hand therapy clinic in St. Louis MO USA. The collection of this data was conducted with the approval of the Washington University in St. Louis Institutional Review Board (ID# 201701125). Participants provided informed consent for the sharing of de-identified data.
DOI: 10.6084/m9.figshare.1613287.v1
title: Daims VetMed metagenome dataset

description: R formated metagenome dataset.
DOI: 10.6084/m9.figshare.21899886.v2
title: Table S1

description: <b>Table S1.</b> Enrichment quality assessment based on number and percentage of circular consensus reads (CCS) containing 1 or more target baits in a range of 96 base pairs at 80% sequence identity. This table also includes the number of reads identified by NLRparser as containing a complete or partial set of NLR motifs.
DOI: 10.6084/m9.figshare.26535394.v1
title: Inner Core Travel Time Data Reference Model: PREM

description: This is the data used for the paper Tilted Transverse Isotropy in the inner core, Brett et al. 2024 Nature Geoscience.
DOI: 10.6084/m9.figshare.3515327.v1
title: Appendix D. Dominant fish species in the northern part of the Terminos lagoon.

description: Dominant fish species in the northern part of the Terminos lagoon.
DOI: 10.6084/m9.figshare.8094116.v1
title: Supplementary Material for: Single-Field Non-Mydriatic Fundus Photography for Diabetic Retinopathy Screening: A Systematic Review and Meta-Analysis

description: <b><i>Purpose:</i></b> Single-field non-mydriatic fundus photography (NMFP) has been used to detect diabetic retinopathy (DR) in many studies; however, its value in a general clinical setting has not been established. Here we performed a meta-analysis to evaluate its diagnostic effectiveness. <b><i>Method:</i></b> We systematically searched PubMed, EMBASE, and Cochrane databases for candidate studies published through May 19, 2018. A random-effect model was used to calculate the diagnostic indicators including the sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), area under the curve (AUC), and 95% confidence intervals. <b><i>Results:</i></b> Ten prospective studies were ultimately included. The pooled sensitivity, specificity, PLR, NLR, and DOR were 0.68, 0.94, 11.2, 0.34 and 33, respectively. The AUC was 0.88. Subgroup analysis showed that single-field NMFP had a respective sensitivity and specificity of 0.73 and 0.91 when compared to standard 7-field mydriatic stereoscopic photography (7SF), and 0.54 and 0.98 when compared to slit-lamp biomicroscopy as reference standard. <b><i>Conclusions:</i></b> Single-field NMFP is inadequate to detect DR. Additionally, it showed higher sensitivity and lower specificity when 7SF was used as reference standard, as compared to slit-lamp biomicroscopy, suggesting that different reference standards used in DR screening might have affected the diagnostic results.
DOI: 10.17632/5mngvhfd5c
title: PROSAIL5B-DR

description: The PROSAIL5B-DR model is an extended version of the PROSAIL5B canopy radiative transfer model, designed to simulate the effects of dust retention on vegetation spectral reflectance. This Matlab code enables users to model the optical impact of dust accumulation on leaves and its influence on canopy-level reflectance. It supports research in remote sensing, urban vegetation monitoring, and spectral analysis under dust pollution scenarios.
DOI: 10.17632/smr3j9hwr4
title: Mediating role of self-efficacy in the relationship between BAS and sport succes among elite athletes and physical education students

description: The study included 156 athletes in two samples: (1) elite athlete (EA, n = 54) and physical education students (PE, n = 102). Participants completed an online survey with the Reinforced Sensitivity Questionnaire (RSQ), General Self-Efficacy Scale (GSES), and Sport Success Scale (SSS).
DOI: 10.6084/m9.figshare.1477974.v1
title: NM 14185 - V.217.pdf

description: Clinical Study Reports on Orlistat released by EMA
DOI: 10.17632/kx6vy7zzn5
title: Data for: The Persistence of Energy Poverty: A Dynamic Probit Analysis

description: These data files provide the do file to replicate all the tables and graphs reported in the paper and the corresponding data sets.
DOI: 10.6084/m9.figshare.28927556.v1
title: Design Justice Zine 2025 - Project Restore

description: A Design Justice Zine for AI Generation and Deepfake particularly in entertainment industry. The zine is part of the coursework of INM317 Design Justice Module (2024-2025).
DOI: 10.6084/m9.figshare.5127802.v1
title: Supplementary Material for: Multitask Imaging Monitor for Surgical Navigation: Combination of Touchless Interface and Head-Mounted Display

description: As a result of the dramatic improvements in the resolution, wearability, and weight of head-mounted displays (HMDs), they have become increasingly applied in the medical field as personal imaging monitors. The combined use of a multiplexer with an HMD allows the wearer to simultaneously and seamlessly monitor multiple streams of imaging information through the HMD. We developed a multitask imaging monitor for surgical navigation by combining a touchless surgical imaging control system with an HMD. This system is composed of a standard color digital video camera mounted on the HMD and computer software that enables the identification of the number of pictured fingertips from the video camera image. The HMD wearer uses this information as a touchless interface for the operating multiplexer, which can control the arrays and types of imaging information displayed on the HMD. We used this system in an experimental demonstration during a single-port gasless partial nephrectomy. The use of this multitask imaging monitor using a touchless interface would refine the surgical workflow, especially during surgical navigation.
DOI: 10.17632/r24rdxt73j
title: Remotely sensed ensemble of the water cycle

description: We present a new REmotely Sensed ENsemble of the water cycle (REESEN). The REESEN approach generates a large number of realizations of the remotely sensed water budget and enforces closure for each realization. The REESEN approach is applied to 24 large river basins from Oct. 2002- Dec. 2014. Three water balance closure algorithms are evaluated, ranging from simple redistribution of residuals to more complex Kalman-filtering and multiple-collocation approaches, to understand the impact of algorithm choice on the resulting water budget partitioning. Therefore, three REESEN ensembles are generated at each basin, one for each closure technique. 
Compared with a published climate data record, the ensemble shows strong agreement for precipitation, evapotranspiration and changes in storage (R2: 0.91-0.95), with less agreement for streamflow (R2: 0.42-0.47), which may be indicative of LSM biases in the climate data record. Water balance residual errors resulting from combinations of raw products vary significantly (p<0.001) with latitude, with a tendency for positive biases for low- and mid-latitude basins, and negative biases elsewhere. Overall, residual errors are equivalent to 15% of total precipitation when averaged across all data products and basins. Enforcing water balance closure reduces uncertainty relative to raw retrievals for 88%-100% of all timesteps. This observation-based dataset is distinct from modeled estimates and therefore has the potential to preserve important information of anthropogenic effects on the water balance. For example, the ensemble shows higher evapotranspiration and greater storage depletion than the model-based climate data record during months of heavy irrigation over the Sacramento-San Joaquin basin system. 
MATLAB files were created for REESEN ensembles used in Abolafia-Rosenzweig et al. (2020). There is one file for each basin system and each closure algorithm: proportional redistribution (PR), multiple collocation (MCL), constrained Kalman filter (CKF). The file descriptions are described in the README. Shapefiles used in the study (Fig. 1 of Abolafia-Rosenzweig et al., 2020) are in corresponding folders to each basin.
DOI: 10.6084/m9.figshare.28767974.v1
title: <b>Intrusion Detection in</b><b> IoHT</b>

description: Even while the IoHT provides many benefits to the medical industry, there are cybersecurity threats that could jeopardize patient data and health. Hackers' ability to change biometric data from biosensors or disrupt the IoHT system is one of the primary worries. To address this problem, Intrusion Detection Systems (IDS) have been developed to protect IoHT. However, the high dimensionality of the data makes it challenging to design IDS for IoHT, which results in model overfitting and decreased detection accuracy.
DOI: 10.17632/y38k9mt7z8
title: AI in Plant Pathology: A Chrysanthemum Leaf Disease Dataset Approach

description: 1. The Significance of Chrysanthemums leaf in Horticulture and Disease Challenges In the horticulture sector, Chrysanthemums are highly valued for their aesthetic appeal as well as their economic worth. However, a number of illnesses that can seriously impair plant health and productivity frequently make it difficult to cultivate these plants. To lessen these risks, leaf diseases must be identified promptly and accurately. The Chrysanthemums leaf disease dataset was created expressly to help horticulturists, researchers, and machine learning experts identify and categorize illnesses that impact Chrysanthemums leaves in order to meet this demand. This dataset includes high-resolution photos of Chrysanthemums leaves that show both disease-free and healthy specimens. Among the important illnesses mentioned are Bacterial leaf and Septoria Leaf Spot. Precise model training and validation are made possible by the thorough annotation of every image, which includes specifics about the nature and severity of the disease. The collection is further enhanced with metadata, which offers important background information about the locations and weather at the time of picture acquisition. Contextual information is essential for comprehending the variables influencing the occurrence of disease and improves the precision of prediction models. 
2. The Role of Deep Learning and Computer Vision the Chrysanthemums Disease Dataset has a plethora of opportunities for classification and detection tasks that can be addressed by modern deep learning and computer vision techniques. 
3. A Comprehensive Dataset for Deep Learning in Chrysanthemums Disease Classification This dataset was created especially to aid in the creation of sophisticated deep learning models. To ensure accuracy and relevance, the dataset's classifications were developed in conjunction with subject matter specialists from a leading agricultural institute. 
4. Data Collection a total of 2700 images were taken at the Shamsher nagar demonstration location in Moulvibazar, Bangladesh. These photos included instances of Bacterial leaf, Septoria Leaf Spot, and Healthy leaves. From the original collection of images, 2301 augmented images were created in order to improve the dataset and expand the amount of data points that were available. These augmented samples were made by applying several techniques like flipping, rotating, shearing, brightness modification, and magnification.
DOI: 10.6084/m9.figshare.23293286.v1
title: External Data

description: Three Excel files were used to generate the CEFIO dataset. The file ‘raw_macro’ stores the macro data. The file ‘raw_micro’ stores the micro data. The file ‘adjustment’ stores all of our manual adjustments during CEFIO construction.
DOI: 10.17632/73rb78pmzw
title: Nairobi Securities Exchange (NSE) All Stocks Prices 2013-2020

description: This compilation consists of historical data of the Nairobi Securities Exchange (NSE), the stock exchange market of Kenya. The data is raw daily trade data and is of value to any machine learning algorithm that requires training and testing data. An earlier dataset (2007-2012) was initially compiled as part of a research project to predict next day stock price prediction, based on the previous five days by use of Artificial Neural Networks (ANN). The research [1],[2] tested 6 stocks [3] using an ANN of configuration 5:21:21:1. However, the whole of 2007-2012 dataset of all NSE stocks is also available [4]. Since then, the NSE has continued to operate and still generates new data daily. This has necessitated compilation of new data. This new NSE 2013 to 2020 (upto June 30) data was once again scrapped from public website [5] of company, licensed by NSE. The processing involved - raw data export to spreadsheets then removal of unnecessary data elements. Each stock data row has the following 13 data columns (1) Date (2) Stock Code (3) Stock Name (4) 12-month Low price (5) 12-month High price (6) Day's Low price (7) Day's High price (8) Day's Final Price (9) Previous traded price (10) Change in price value (11) Change in price % (12) Volume traded (13) Adjusted price. The original data also had a column on the price direction (arrow graphic), but this column was dropped from this final compilation. Two additional CSV files (2013 and 2020) are introduced to show market sectors that each stock belongs. The column headings are: (1) Market sector (2) Stock Code (3) Stock Name. This new dataset gives researchers a larger dataset (2007-2020), bigger pool of stocks and indices (64), market sector data and many other data attributes, over and above the test cases that were presented in the earlier research. List of data files on this dataset: NSE_data_all_stocks_2013.csv NSE_data_all_stocks_2014.csv NSE_data_all_stocks_2015.csv NSE_data_all_stocks_2016.csv NSE_data_all_stocks_2017.csv NSE_data_all_stocks_2018.csv NSE_data_all_stocks_2019.csv NSE_data_all_stocks_2020.csv NSE_data_stock_market_sectors_2013.csv NSE_data_stock_market_sectors_2020.csv References: [1] Wanjawa, B. W. (2014). A Neural Network Model for Predicting Stock Market Prices at the Nairobi Securities Exchange (Dissertation, University of Nairobi). [2] Wanjawa, B. W., & Muchemi, L. (2014). ANN model to predict stock prices at stock exchange markets. arXiv preprint arXiv:1502.06434. [3] Wanjawa, Barack (2020), “Nairobi Securities Exchange Prices 2008-2012 for 6 selected stocks”, Mendeley Data, v3, http://dx.doi.org/10.17632/95fb84nzcd.3 [4] Wanjawa, Barack (2020), “Nairobi Securities Exchange All Stocks Prices 2007-2012”, Mendeley Data, v1, http://dx.doi.org/10.17632/5hk4zw32f5.1 [5] Synergy Systems Ltd. (2020). MyStocks. Retrieved July 27, 2020, from http://live.mystocks.co.ke/
DOI: 10.17632/df3b3n677w
title: S@CNT crystallographic information file

description: This is a cif file for S@CNT structure that was used to calculate XANES spectra of S using WIEN2k.
DOI: 10.6084/m9.figshare.24755277.v1
title: PAtient 데이터.xlsx

description: 해부학적 크기를 근위 대퇴골의 한국 대한민국. 본 연구는 컴퓨터단층촬영(CT)을 기반으로 대뇌피질 두께 및 피질 두께지수(CTI)를 측정하고, 이중에너지 X선 흡수측정법(DXA)을 기반으로 T-점수와 섬유주 골점수(TBS)를 추가로 평가
DOI: 10.17632/x3kr4sfj96
title: SHARP main outcomes paper analysis datasets

description: These are the datasets analyzed for the SHARP main outcomes paper published in Lancet Global Health in 2024: “Two implementation strategies to support the integration of depression screening and treatment into hypertension and diabetes care in Malawi (SHARP): parallel, cluster-randomised, controlled, implementation trial", Brian W. Pence et al, Lancet Global Health, published online 23 Feb 2024. 

NIMH grant # U19MH113202, ClinicalTrials.gov registry # NCT03711786
DOI: 10.6084/m9.figshare.1485719.v8
title: A Pharmacokinetics-Neural Mass Model (PK-NMM) For the Simulation of EEG Activity during Propofol Anesthesia

description: This file includes the <strong>dataset</strong> and MATLAB programs underlying the findings in the artilcle "A Pharmacokinetics-Neural Mass Model for the Simulation of EEG activity during Propofol Anesthesia" submitted to PLoS ONE.
DOI: 10.6084/m9.figshare.7929425.v1
title: gVCF_HG02351

description: 1000 Genomes gVCF mapped to hs37d5 for HG02351. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/c39vhf5vzb
title: #Men’sLivesMatter: Examining the Gender-Centric Conversations Surrounding BCAM’s Popular Discourses on Twitter.

description: The dataset for this study was collected during Breast Cancer Awareness Month (BCAM). These tweets to examine how breast cancer awareness campaigns on Twitter emphasize gender representation.
DOI: 10.17632/jsbbfpvf6p
title: Survey on Vietnamese Students' School Alienation, Academic Contingent Self-worth and Parents' and Teachers' Academic Conditional Regard

description: This is the dataset about Vietnamese students on school alienation, contingencies of self-worth and parents' and teachers' academic conditional regard. The survey was sent out to upper secondary school students in Vietnam from February to April, 2020 and got 2970 valid observations in return. The collected data can be used to attain more understanding about students' attitude toward school and leaning, as well as the impacts of parents' and teachers' conditional regard on students' academic achievement. Specifically, the dataset consists of five main parts. The first part is students' demographic information, including students' gender, GPA, and family socioeconomic status. The next two parts are students' perception about their parents' and teachers' academic conditional regard. The fourth part is students' academic contingent self -worth. The final part is data on school alienation which consists three domain, alienation from learning, alienation from teachers and alienation from classmates.
DOI: 10.17632/xkyxmp3bhp
title: Supplemental Materials and Methods

description: Supplemental Materials and Methods for "Antihelical erythema/papules as a potential risk factor for acute and subacute interstitial pneumonia in MDA5+ dermatomyositis: A retrospective cohort study".
DOI: 10.6084/m9.figshare.19170176.v1
title: Data and code for: "Conservation beyond Boundaries: using animal movement networks in Protected Area assessment"

description: Data and R code for: "Conservation beyond Boundaries: using animal movement networks in Protected Area assessment", published in Animal Conservation.<br>
DOI: 10.17632/m86yb36chp
title: Detailed Reaction Mechanism for the Combustion of Hydrogen and Syngas

description: A detailed reaction mechanism for the oxidation of hydrogen and syngas in freely propagating and burner-stabilized premixed flames as well as shock-tube, jet-stirred reactor, and plug-flow reactor experiments is developed. The H2/CO kinetic model is validated against experimental data from literature which include 87 sets of laminar flame speed, 39 sets of ignition delay times from shock tubes, 16 sets species concentrations in JSRs, 27 sets of species concentrations in PFRs, 8 sets of species concentrations in BSF and 4 sets of species concentrations in shock tube experiments. The rate parameters adopted to develop the detailed chemical kinetic mechanism of H2 and CO is mostly based on the recommendations of Baulch et al. 2005 (Journal of Physical and Chemical Reference Data 34, 757 (2005). https://doi.org/10.1063/1.1748524). This mechanism was developed in parallel to the ammonia mechanism (Detailed Kinetic Mechanism for the Oxidation of Ammonia Including the Formation and Reduction of Nitrogen Oxides. Energ Fuels 2018;32:10202−10217. doi:10.1021/acs.energyfuels.8b01056).
DOI: 10.6084/m9.figshare.28846238.v1
title: Impact of surgical ventricular restoration on intracardiac hemodynamics: an in silico study using CCT data (Open Data)

description: The geometries and boundary conditions of the nine cases (pre and post) belonging to the following publication:<br>L. Obermeier, M. Wiegand, T. Kuehne, V. Falk, C. Knosalla, N. Solowjowa, L. Goubergrits, K. Vellguth, Impact of surgical ventricular restoration on intracardiac hemodynamics: an in silico study using CCT data, Computers in Biology and Medicine (2025), https://doi.org/10.1016/j.compbiomed.2025.110227<br>The dataset contains the geometries (as STL) of: the left ventricle (at end-diastole and end-systole), left atrium, aorta, the 3D mitral valve in opened state, and planar projections of the mitral valve and aortic valve orifice area to model the valve function. Further, the following boundary conditions are provided (as CSV): pressure at the left atrial inlet, pressure or mass flow at the aortic outlet (depending on the presence of mitral regurgitation), resistance tables at the projected valves to model planar valve opening and closing, the displacement field of the left ventricle from end-diastole to end-systole, the normed volume curve and volume flow rate, and temporal information on valve opening/closing.<br>To contact us, please refer to the corresponding author or use the contact page of our website.
DOI: 10.17632/79tbbm7v24
title: Battle of the Bots: Solving Clinical Cases in Osteoarticular Infections with Large Language Models

description: This repository contains the three core datasets underpinning our LLM evaluation study in infectious disease decision‐making:

Multiple‐Choice Answers: Model responses mapped to predefined, guideline‐based answer keys for each clinical question.

Raw LLM Outputs: Unedited textual answers generated by all 15 tested language models.

Likert‐Scale Ratings: Explanation‐quality scores assigned by two blinded, board‐certified reviewers, including consensus‐resolved discrepancies and interrater reliability statistics.

Together, these files enable full replication of our accuracy and explanation‐quality analyses.
DOI: 10.17632/dy5dyfygbp
title: MELD: A Multilingual Ethnic Dataset of Chakma, Garo, and Marma in Bengali Script with English and Standard Bengali translation

description: The MELD dataset (Multilingual Ethnic Language Dataset) is designed to address the severe under-representation of ethnic languages in computational linguistics and natural language processing (NLP). It includes transliterated text samples from Chakma, Garo, and Marma, alongside Standard Bengali and English, collected to reflect real-world use. This dataset provides valuable linguistic insights into low-resource and endangered languages written in the Bengali script.

The data was gathered through a rigorous process of interviews with native speakers, written contributions, and manual transliteration into Bengali alphabets. With 3046 annotated sentences, it highlights the unique linguistic patterns of ethnic communities who use Bengali script to write their native languages, especially on social media. The dataset is suitable for tasks like language identification, machine translation, and sentiment analysis.

By enabling NLP researchers and linguists to develop tools for language processing, the dataset aims to foster inclusive technology development while promoting cultural preservation. Its applications include building language identification models, creating translation systems, and supporting the study of linguistic diversity. Researchers are encouraged to use MELD for advancing computational research in low-resource and ethnic languages.

Chakma:
---------
Words: 4529 Sentence: 808

Garo:
--------
Words: 1680 Sentence: 314

Marma:
-------------
Words: 1244 Sentence: 292

Standard Bangla:
-------------------
Words: 4380 Sentence: 816

English
-------------------
Words: 4883 Sentence: 816
DOI: 10.6084/m9.figshare.21130786.v1
title: bearing fault sound singal.zip

description: The data was collected on a comprehensive mechanical fault simulation test bench of type MFS-MG2010. A pickup with a sampling frequency of 44.1 kHz was used to collect the fault state noise signals of the bearing in four different state modes: normal, ball fault, inner ring fault, and outer ring fault at a motor speed of 1800 rpm.