cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p78t84md5h
title: The performance of genetic-enhanced DXA-BMD predicting models trained in UK biobank varies across diverse ethnic and geographical populations

description: Background
Osteoporosis presents a significant global health challenge, compromising bone quality and elevating fracture susceptibility. While dual-energy x-ray absorptiometry (DXA) stands as the gold standard for bone mineral density (BMD) assessment and osteoporosis diagnosis, its costliness and complexity impede widespread screening adoption. Predictive modeling of BMD, leveraging genetic and clinical data, emerges as a more viable and cost-effective approach for osteoporosis and fracture risk evaluation.
Methods and Findings
We developed BMD prediction models for the femoral neck (FNK) and lumbar spine (SPN) using various methods within a UK Biobank (UKBB) training set comprising 17,964 individuals from the British white population. Models based on Regression with Least Absolute Shrinkage and Selection Operator (LASSO), selected based on the coefficient of determination (R2) from a model selection subset of 5,973 individuals from the British white population, underwent testing on five UKBB test sets and 12 independent cohorts of diverse ancestries, totaling over 15,000 individuals. Furthermore, we assessed the correlation of predicted BMDs with fragility fractures in a distinct case-control set of over 287,000 participants lacking DXA-BMDs in the UKBB of the European white population.
Incorporating genetic factors marginally improved predictions, capturing an additional 2.3% variation for FNK-BMD and 3% for SPN-BMD over clinical factors alone. Predicted BMDs exhibited significant associations with fragility fracture risk in the European white population. Nonetheless, the predictive model's performance varied between the UKBB population of other ethnic groups and the independent cohorts.
Conclusions
Our study yields novel insights into predicting osteoporosis and fracture risk. Genetic factors enhance BMD predictive performance beyond clinical factors alone. Adjusting inclusion thresholds for genetic variants (e.g., 5×10^(-6) or 5×10^(-7)) rather than solely considering genome-wide association study (GWAS)-significant variants may further refine the model's explanatory power for BMD variations. This study also underscores the imperative for training models on diverse population to bolster predictive performance across various ethnic and geographical populations.
DOI: 10.17632/t9z2t6d7s4
title: India Hybrid IO Table 2015

description: The Hybrid IO Table for India 2015 was created through data harmonization of the Energy Balance by IEA and supply-use tables by the Ministry of Statistics and Program Implementation. Creating an IO Table from Supply Use Table 2015: The manufacturing and repair columns of supply and use sheets are merged. 140x66 matrix is created into a 65x65 matrix by merging rows of products to match industries (MoSPI, 2016) A 65x65 IO matrix is then derived using matrix manipulation. Aggregating IOT for Hybrid IOT Using IO table from SUT 2015-2016 and aggregating sectors consistent with EB aggregation. Three separate tables are created, namely, energy volume (Ktoe), energy prices (Lakh Rs/ Ktoe) and energy expenses (Lakh Rs). Treatment of transport fuel consumption in non-transport sectors: Energy expenses for all petroleum products + coke taken from IO and are subtracted by expenses of coke and non-transport fuels generated by the energy balance. The ratios thus obtained are used to divide the consumption of transport fuels by non-household and non-transport firms. Road transport fuels are road petrol and road diesel. The subsequently generated values are used in energy volume table to denote the consumption of transport fuels in sectors other than transport. (road transport consumption volume is taken from IO expense/price from energy price table) Treatment of Energy Expenses (dividing expenses from residual industry and other services to other sectors: We divide the consumption from residual industry and other services to sectors -- coal, crude oil and non-transport fuels (NTF), transport fuels (TF), biomass, natural gas, construction, air, water & road transport (rest already accounted for in eb_disaggr_exp). Treatment of Natural Gas consumption in the Industry Sector: Natural gas consumption for various industries needs is treated for energy volume table. Expenses of Natural gas (and “gas”) is taken from IO and divided by prices from energy prices, this volume distribution of natural gas consumption is used as a ratio to divide natural gas consumption for residual industries from eb_disaggr_comm. (except for the iron and steel industry whose consumption is already specified in eb_disaggr_comm, natural gas + gas works gas). The values taken are for industries → chemical and petrochemical, construction, residual industries. Treating distribution of non-specified industrial coal: Non-specified industrial coal is distributed between consumer sectors based on the ratio of unaccounted IOT volume by EBxEP. Volumes for aluminium and cement industry have been estimated from secondary sources mentioned in the excel sheet. EBxEP values of sector 30 and crude oil are more than IO values reported hence no additional coal can be attributed.
DOI: 10.17632/w9hdbnrk85
title: Repositório de Questões do ENADE - Bacharelado em Ciência da Computação (2005 até 2021)

description: Este dataset reúne todas as questões das provas do Exame Nacional de Desempenho dos Estudantes (ENADE) para o curso de Bacharelado em Ciência da Computação, abrangendo todas as edições do exame desde 2005 até 2021. O ENADE, promovido pelo INEP (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira), avalia o desempenho dos estudantes em relação aos conteúdos programáticos, habilidades e competências previstas nas diretrizes curriculares nacionais para o curso de Ciência da Computação.

Este dataset fornece uma base completa para análises quantitativas e qualitativas sobre a formação acadêmica em Ciência da Computação no Brasil, além de permitir comparações entre diferentes períodos e temas de avaliação. 
O dataset esta composto por pastas representando os anos (2005, 2008, etc), onde em cada pasta contem a prova completa e uma pasta chamada "Questoes" com um print de cada questão separada.
DOI: 10.17632/zcrd68rpv6
title: Advancing Women's Sexual and Reproductive Health and Rights: Challenges and Opportunities in the 21st Century

description: This paper provides a comprehensive overview of the critical global challenges and emerging opportunities in advancing women's sexual and reproductive health and rights (SRHR) in the 21st century. The author explores the centrality of SRHR to women's empowerment, documents the persistent barriers to SRHR, and outlines a rights-based agenda for driving progress, including through legal and policy reform, health system strengthening, and addressing social determinants. The paper also highlights innovative approaches, such as the integration of digital health technologies and the need for multisectoral collaboration, to accelerate SRHR achievements. Finally, the author issues a call to action, underscoring the imperative of strengthening political will, fostering equity and inclusion, and amplifying the voices of women and girls to realize universal SRHR.
DOI: 10.17632/9krv2pj3bw
title: Hawaii Map Series of Projected Shoreline Change with Sea Level Rise for the Ocean Hazards Database

description: This database consists of a series of maps showing estimates for the change in position of Hawaii shorelines caused by sea-level rise (SLR) of + 0.5, 1.1, 2.0, and 3.2 feet. Individual maps show perpendicular measurement axes and lines of predicted shoreline positions at mileposts along Hawaii state routes on the islands of Hawaii, Maui, Molokai, Oahu and Kauai previously identified for their vulnerability to the effects of climate change as part of the Statewide Coastal Highways Project Report.

Mileposts are identified by Brandes et al. (2019). State of Hawaii Department of Transportation (HDOT) state routes and county street centerline datasets are acquired from HDOT (2017) and HOLIS, C&CH (2017). Projected vegetation lines (long-lasting markers of the shoreline) are determined and reported by the Hawaii Coastal Geology Group (HCGG) in Anderson et al. (2018). Rate of projected erosion is determined as a mean value of rates along the measurement axis (magenta line) from the 2008 vegetation line (blue) to subsequent SLR vegetation lines (red, orange, yellow, and green). Dates for SLR elevations are reported by Anderson et al. (2018) using the IPCC AR5 high-end representative concentration pathway (RCP) 8.5 scenario as 2030 for 0.5 ft of SLR, 2050 for 1.1 ft of SLR, 2075 for 2.0 ft of SLR, and 2100 for 3.2 ft of SLR.

Please read ‘Description-Map of Projected Shoreline Change with Sea Level Rise.docx’ for detailed information.

References
Anderson, T.R., Fletcher, C.H., Barbee, M.M., Romine, B.M., Lemmo, S., and Delevaux, J.M.S. (2018).
Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods. Scientific Reports, 8(1), 1–14. https://doi.org/10.1038/s41598-018-32658-x 
Brandes, H., Doygun, O., Rossi, C., Francis, O., Yang, L., and Togia, H., (2019) Coastal Road Exposure Susceptibility Index (CRESI) for the State of Hawaii Statewide Coastal Highway Program Report. Department of Civil and Environmental Engineering, University of Hawai'i at Manoa, doi: 10.17632/frr3fsx3j6.2.
HDOT (State of Hawaii Department of Transportation). “StateRoutes_SDOT” [shapefile]. Scale Not Given. State Routes. Hawaii Statewide GIS Program. Retrieved from http://files.hawaii.gov/dbedt/op/gis/data/StateAndCountyRoutes.shp.zip (December 2017).
HOLIS, C&CH (Honolulu Land Information System, City and County of Honolulu). “Oah_streets” [shapefile]. Scale Not Given. Oahu Street Centerlines. Hawaii Statewide GIS Program. Retrieved from http://geoportal.hawaii.gov/datasets/roads-honolulu-county (December 2017).
DOI: 10.17632/mw9p4wnzpc
title: The return on everything and the business cycle in production economies

description: Replication file for The return on everything and the business cycle in production economies, Economic Modelling
DOI: 10.17632/n39bxkmsd5
title: Data for: An Exploratory Study of Cyber Hygiene Behaviors and Knowledge
DOI: 10.17632/yvbp24djbp
title: Inclusive leadership and voice behavior: The role of psychological empowerment

description: The attached files contain the data set for the manuscript "Inclusive leadership and voice behavior: The role of psychological empowerment" along with the questionnaires which the Author(s) used to collect the data. Questionnaires contain demographic section and the scale/items measuring "inclusive leadership, psychological empowerment, and voice behavior".
The attached data file was used to analyze the 4 hypotheses through SPSS and AMOS software.
H1: Inclusive leadership is positively related to voice behavior.
H2: Inclusive leadership is positively related to psychological empowerment.
H3: Psychological empowerment is positively related to voice behavior.
H4: psychological empowerment mediates the relationship between inclusive leadership and voice behavior.
DOI: 10.6084/m9.figshare.17294099.v1
title: Supplementary Material for: Evaluation of Risk Factors and Approach to Screening for Asymptomatic Neonatal Hypoglycemia

description: <b><i>Introduction:</i></b> Protocols to identify asymptomatic neonatal hypoglycemia (NH) rely on the presence of established risk factors (late preterm gestation, large or small for gestational age, and infant of a diabetic mother) for inclusion. We analyzed the performance of these risk factors in identifying hypoglycemia in modern practice, and additionally evaluated the optimal duration of screening blood glucose measurements. <b><i>Methods:</i></b> We analyzed a retrospective cohort of 830 infants with 1 or more known risk factor(s) for NH admitted to the mother-baby unit of a single tertiary-care center from May 2017 to April 2018. Manual chart review was performed for data extraction and confirmation of risk factor(s). Infants were excluded if glucose measurements were obtained for any reason other than screening for asymptomatic NH. <b><i>Results:</i></b> Of the 830 included infants, 31 (3.7%) ultimately received intravenous dextrose (IVD). Most screened infants (<i>n</i> = 510, 61.4%) did not develop hypoglycemia. None of the established risk factors showed strong association with hypoglycemia. Cesarean delivery was associated with hypoglycemia, although not strongly. All infants who received IVD for feeding-refractory hypoglycemia were identified by the first 2 measurements with nearly all (30/31, 97%) identified at the initial measurement. <b><i>Conclusions:</i></b> Currently accepted risk factors are limited in their ability to identify infants who subsequently develop hypoglycemia, and as a result, most screened infants do not develop hypoglycemia. The majority of infants in our cohort who did develop hypoglycemia achieved normoglycemia with feeding-based interventions and did not require IVD. Those that received IVD were more likely to develop hypoglycemia early and to a more severe degree. Together, our data suggest further refinement of protocol duration and risk factors utilized for screening as potential areas of screening protocol optimization.
DOI: 10.17632/2h5j8p9vzh
title: Conjunto de dados “Repercussões da covid-19 na capacidade funcional de idosos: estudo longitudinal”

description: Longitudinal study characterized by two evaluations with an interval of 18 months, involving 128 participants aged ≥ 60 years.
DOI: 10.17632/3vm4g32t4d
title: SpaceGroupIrep: A package for irreducible representations of space group

description: We have developed a Mathematica program package SpaceGroupIrep which is a database and tool set for irreducible representations (IRs) of space group in BC convention, i.e. the convention used in the famous book “The mathematical theory of symmetry in solids” by C.J. Bradley & A.P. Cracknell. Using this package, elements of any space group, little group, Herring little group, or central extension of little co-group can be easily obtained. This package can give not only little-group (LG) IRs for any k-point but also space-group (SG) IRs for any k-stars in intuitive table form, and both single-valued and double-valued IRs are supported. This package can calculate the decomposition of the direct product of SG IRs for any two k-stars. This package can determine the LG IRs of Bloch states in energy bands in BC convention and this works for any input primitive cell thanks to its ability to convert any input cell to a cell in BC convention. This package can also provide the correspondence of k-points and LG IR labels between BCS (Bilbao Crystallographic Server) and BC conventions. In a word, the package SpaceGroupIrep is very useful for both study and research, e.g. for analyzing band topology or determining selection rules.
DOI: 10.17632/9285c3hzmh
title: Pan-cancer analysis of the role of NCS1 in immunotherapy and prognosis of human cancer

description: Pan-cancer analysis of the role of NCS1 in immunotherapy and prognosis of human cancer
DOI: 10.17632/nwkkd6k3gc
title: Handcrafted Indian Face (HIF) Dataset

description: This dataset consists of Indian face images of individuals with masks and without masks . Also it includes few images with occlusion viz. googles and spectacles alongwith masks. It includes images in varied illumination conditions as well. There are 11 subjects. Each subject has variable number of images.
DOI: 10.17632/yhn2hwx5ct
title: Data on the nutritional and fatty acid composition, bioactive compounds, in vitro antioxidant activity and techno-functional properties of a collection of pea (Pisum sativum L.)

description: This dataset refers to a collection of 81 pea (Pisum sativum L.) genotypes grown at the experimental farm “P. Martucci” of the University of Bari “Aldo Moro” sited in Valenzano, Italy (41°01 22.1’’ N 16°54 21.0’’ E) during the 2022-2023 growing season.
DOI: 10.17632/hrx2kgphy5
title: Centella Asiatica Leaf Image Dataset

description: The dataset consists of over 1024x768 dimension 9094 images of Centella Asiatica leaves.
The images are in JPEG format and have a resolution of 72 DPI.
DOI: 10.17632/vpzv34bshv
title: Data and code for article "Combining hierarchical distribution models with dispersal simulations to predict the spread of invasive plant species"

description: Data and Code for article "Combining hierarchical distribution models with dispersal simulations to predict the spread of invasive plant species"
DOI: 10.17632/3yp3h5vd5y
title: Dermoscopic changes in acquired melanocytic nevi during and after pregnancy– A Case-control Prospective Study

description: Our study aimed to describe the dermoscopic changes in acquired melanocytic nevi which can be attributed to physiological change related to pregnancy. In addition, we examine the persistence of these changes six months postpartum. Our study is strengthened in that in includes in two distinct populations—Brazil and Australia—each with different melanoma risk factors. We compared these changes to those observed in a control group of non-pregnant biological sisters, selected due to the shared genetic and environmental risk factors for melanoma, as evidenced by the similarity of baseline demographics and risk factors between cases and controls.
Our findings reveal that dermoscopic changes in acquired melanocytic nevi are more common during pregnancy than previously described. Futhermore changes occur irrespective of anatomic location. Significant differences were observed between the two populations studied, underscoring the impact of diverse melanoma risk factors and phototypes. The analysis of the control group further supports the role of pregnancy-specific factors in these dermoscopic changes, and assists to characterize the physiological changes in naevi associated with pregnancy
These insights have important clinical implications, as we propose changes in naevi which can be considered physiologic in pregnancy and aid the differentiation of naevi from melanoma. Given the controversy regarding prognosis of pregnancy associated melanoma, early diagnosis is crucial.
DOI: 10.17632/yszsg6y7v4
title: Sargassum species- Physico-chemical, Nutritional, Organoleptic evaluation and figures

description: Data on the Physico-chemical , Nutritional and Organoleptic quality of three species of Sargassum such as S. polycystum, S. tenerrimum and S. cinctum were presented. Figures developed using the data were presented for the organoleptic quality. Data on invitro antimicrobial activity with the zone of inhibition is also contained in it. The photo of the zone of inhibition is presented in the plate.6 of the thesis of my Ph.D., research work
DOI: 10.6084/m9.figshare.24113409.v1
title: Scoping Review ASD Screening and Diagnostic Tools Indian Subcontinent

description: Data set of Scoping Review done to evaluate the screening and diagnostic tools utilized in the Indian Subcontinent for ASD (Autism Spectrum Disorders).
DOI: 10.17632/bbkfxwfwbv
title: Physical activity with CKD mortality

description: Data on physical activity and mortality in CKD analysis
DOI: 10.17632/y84khfx263
title: Original Western Blot Data

description: Original Western Blot data for manuscript entitle p53 engages the cGAS/STING cytosolic DNA sensing pathway for tumor suppression
DOI: 10.17632/9rjs6nvjfj
title: LINF_180009100

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/hp4xjdk2y6
title: Gima Kolmi Leaf Dataset: A Curated Image Resource for Agricultural Disease Monitoring in Ipomoea aquatica Cultivated in Bangladesh

description: The Gima Kolmi Leaf Dataset offers high-resolution, 700+ images of Ipomoea aquatica (Gima Kolmi) leaves, captured under natural sunlight in open field conditions in Rangpur, Bangladesh. Total Dataset Size: 7,292 images across all categories, including raw, processed, and augmented data. As a widely cultivated leafy vegetable in the country, early disease detection in Gima Kolmi is vital for ensuring yield and food security. This dataset supports research in machine learning and computer vision for plant disease classification, reflecting real-world agricultural conditions in rural Bangladesh. It is well-suited for developing AI-driven tools for precision agriculture and mobile-based plant health diagnostics.

Key Features of the Gima Kolmi Leaf Dataset :

1. Total Raw Images: 730
2. Processed Images: 730
3. Augmented Dataset 1: 3,645 images
4. Augmented Dataset 2: 2,187 images
5. Two Balanced Classes:
• Disease
• Disease Free
6. Metadata Included:
• CSV file with filename, class label, source folder, and image dimensions
7. Visual Summary & Sample Image Provided

Data Collection : 
Device Used: Realme GT Master Edition (64 MP camera)
Environment: Natural daylight, sunny conditions
Location: OFRD, Rangpur, Bangladesh
Coordinates: 25.72046007746578, 89.26284024499962
All images were taken manually by the author under consistent lighting and background conditions.

Preprocessing Details :
• Resizing: All processed images resized to 224x224 pixels
• Normalization: Pixel values scaled to [-1, 1] range
• White background removed (optional)
• Format: JPG, JPEG, PNG

Data Augmentation Techniques : 

Augmented_1:
• Horizontal_Flip
• Vertical Flip
• Rotation (±15°)
• Brightness/Contrast
Augmented_2 : 
• Random Zoom
• Shearing
• Cropping and Padding
• Color Jitter
• Gaussian Noise

Applications :
The Gima Kolmi Leaf Dataset serves as a valuable resource for a wide range of research and development efforts, particularly in:
➨ Leaf Disease Classification using machine learning and deep learning techniques.
➨ Precision Agriculture, enabling the development of decision support tools for Bangladeshi farmers.
➨ Mobile-Based Disease Detection apps for in-field diagnosis and real-time crop monitoring.
➨ AI-Powered Agricultural Robotics for automated crop health assessment.
➨ Transfer Learning & Model Benchmarking in plant pathology-related computer vision tasks.

By providing labeled leaf images from real Bangladeshi farms, this dataset enables AI-based disease detection, supports early diagnosis, and promotes sustainable agriculture through practical and academic applications.
DOI: 10.17632/rmj7fwm6n7
title: Protein-Folding Chaperones Predict Structure-Function Relationships and Cancer Risk in BRCA1 Mutation Carriers

description: We used a high-throughput LUMIER assay to test whether the binding patterns of protein-folding chaperones can be used to predict structure-function relationships of BRCA1 variants and the clinical manifestations of BRCA1 mutations in carriers. Our findings are presented in the following tables.
Table S1. Chaperone binding detects BRCA1-BRCT pathogenic ClinVar variants and rationally designed variants that disrupt domain structure
Table S2. Computational analysis of thermodynamic stability for pathogenic BRCA1-BRCT missense mutations in ClinVar
Table S3. Diverse functional outcomes of BRCA1-BRCT variants detected by chaperone binding
Table S4. Features of human hypomorphic BRCA1 variants characterized by chaperones
Table S5. Human BRCA1 carriers exhibiting early disease onset identified by chaperone binding
DOI: 10.17632/8cxvkbgb6n
title: Data set on the GC-MS profile of Neolamarckia cadamba from Noida-62, India.

description: The present data set gives the analysis for Gas chromatography-Mass Spectrometry (GC-MS) of the methanolic (M) and ethanolic (E) extracts of Neolamarckia cadamba plant leaves collected from Jaypee Institute of Information Technology Noida-62 campus premises.