cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25946/28520321.v1
title: Audio and transcription data (raw)_Group and Expert interviews for Why Weight? Development of a Tool to Identify Factors Affecting Participation of Women in Resistance Exercise

description: Statistics from the National Health Survey (2017-18) indicate that 54% of females (35-44 y.o) fail to reach recommended physical activity levels which is unchanged from 2011-2012 figures.  Additionally, a reported 80% of women currently have insufficient resistance exercise training levels to achieve optimal health benefits for chronic disease prevention. While the exact reason is not known, fitness professionals may play a role. The role of fitness professionals in delivering physical activity for healthy agendas has been examined and demonstrated that fitness professionals can both educate and support individuals to increase physical activity levels. With growing public awareness in the fitness industry, Personal Trainers and other health professionals require skills to promote engagement and adherence to physical activity, particularly resistance exercise training (RET). Whilst each profession has their own scope of practice, in order to achieve a positive outcome, which to date has been limited/stagnant, some commonality between, and within scope of practices, may need to be achieved. Utilising the large body of research existing around elements to guide resistance training promotion and engagement, my project is aiming to successfully ascertain interest in provision of education/resources/advice to link research to the 'real world'. A second objective is to then develop a tool focussed on eliciting preferences and behaviours towards physical activity which could be useful to a broader sector of the community. Specifically, such a tool could be adopted by health professional groups, and also Personal Trainers, to use within their scope of practice to better engage middle aged women in RET to sufficient levels for chronic disease prevention.
DOI: 10.3535/a6h-pz3-1fp
title: Lingulata Gorjansky & Popov, 1985

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qrb-h2m-mwy
title: †Sowerbyella Jones, 1928

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/bf7crz6mvk
title: Data of "Effect of mindfulness-based interventions on people with prehypertension or hypertension：A systematic review and meta-analysis of randomized controlled trials"

description: The raw data were extracted from the included studies and analyzed for meta-analysis. The data show the mean and standard deviations (SD) of systolic blood pressure, diastolic blood pressure, anxiety, depression and perceived stress of intervention groups and control groups pre-intervention and post-intervetion. And tha data also show the mean change values of mean  and standard deviations.
DOI: 10.17632/xjgv9d5fyr
title: Data for: Experimental investigations on the thermochemical oxidation of n-alkane and alcohol compounds by MnO2 and Fe2O3 at temperatures up to 325 ºC

description: The file includes the micro-XRD data of the solid before or after reaction, the Raman spectra of the vapor or liquid phase within the micro-reactor during reaction. as well as some micrographs of the solid products.
DOI: 10.3535/6pa-gys-e3t
title: †Sowerbyella Jones, 1928

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vdv-wqe-jam
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20787751.v1
title: Nerve Classification and Segmentation

description: Data for Nerve classification and segmentation
DOI: 10.6084/m9.figshare.9946859.v1
title: The landscape configuration and lethality of snare poaching of sympatric guilds of large carnivores and ungulates

description: The data were collected during snare surveys conducted in Murchison Falls National Park, Uganda between June and September 2018.
DOI: 10.3535/j8f-y05-tdy
title: †Sowerbyella Jones, 1928

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xsf-74r-sdc
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/6xy-zrx-g8v
title: †Sowerbyella Jones, 1928

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vcf-v2z-cvl
title: Palaeoconchus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/btjsmfg5nz
title: First report of Synergism Activity between Moringa oleifera and Azadirachta indica Crude Extract against Nilaparvata lugens

description: This research aims to evaluate the synergism activity of M. oleifera and A. indica extract against N. lugens. Data showed in the paper are the mortality data, lethal concentration or LC50 values and combination index values.
DOI: 10.3535/1q6-4tt-6hp
title: Conularia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/l59-m7q-j7e
title: †Sowerbyella Jones, 1928

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/mj769grb4r
title: Data for "Performance evaluation of Okra (Abelmoschus esculentus L. Moench) varieties for pod yield and quality under organic mulches in Northwestern Ethiopia"

description: The dataset was collected from the experiment conducted at Gorgora North Western Ethiopia under irrigation at 2023 to evaluate the performance of okra varieties for pod yield and quality under organic mulches. The data consisted of pod related data and it was subjected to analysis of variance using SAS software version 9.4 General Linear Model (GLM) procedure and significant means were separated with the help of least significant difference (LSD).
DOI: 10.3535/eqy-5ze-9bf
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jq1-btq-hml
title: Conularia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.3561984.v1
title: Appendix B. A generalization of Good-Turing sample coverage theory.

description: A generalization of Good-Turing sample coverage theory.
DOI: 10.3535/rez-e37-5ky
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7y9-ec7-h6p
title: Trypanites sozialis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r22-v0n-lcq
title: †Sowerbyella Jones, 1928

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.24899388.v1
title: Supplementary Material for: DHX37 and the implications in Disorders of Sex Development: an update review

description: Background: DHX37 is an autosomal gene responsible for encoding a helicase from the DExD/H-box family that plays an essential role in ribosome biogenesis. Variants in this gene were previously reported in two different phenotypes: neurodevelopmental disorders and disorders/differences of sex development (DSD). Particularly for the DSD group, variants were mainly reported associated with gonadal dysgenesis and testicular regression syndrome. Summary: Focusing specific in the DSD group, we revised the 21 DHX37 variants described across a total of 55 cases published in the literature so far. We summarized the most important clinical and molecular features of all cases, trying to have a better comprehensiveness about this gene in the sexual development. Key Messages: The trick question regarding DHX37 is how a helicase involved in basic cell function could have a specific role in testis development. Little is known about the impact of DHX37 variants in DSD individuals. Nevertheless, current research strongly suggests that DHX37 is involved in the male sex development pathway, particularly in testis determination and maintenance. This is evidenced by the predominant assignment of affected individuals as males and the presence of Wolffian structures in most of the cases. Advancements in molecular techniques, such as the generation of induced pluripotent stem cells, and the digenic inheritance for DHX37 cases, are also addressed in this paper. This represents the first comprehensive review of all DHX37 variants published in the literature to date.
DOI: 10.6084/m9.figshare.27014554.v1
title: Albocremella abscondita_alignment

description: Alignment related to new species Albocremella abscondita.
DOI: 10.6084/m9.figshare.27800340.v1
title: STORMS_Excel_Decoding the anti-aging effect of retinol in reshaping the human skin microbiome niches.xlsx

description: STORMS Checklist of Decoding the anti-aging effect of retinol in reshaping the human skin microbiome niches
DOI: 10.3535/3se-zq7-66c
title: Propora speciosa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25461382.v1
title: GVHD Information Retrieval Dataset

description: A classic Retrieval Augmented Generation bot that answers questions about the GVHD medical condition.
DOI: 10.6084/m9.figshare.26543476.v1
title: <b>DEVELOPMENT AND SUSTAINABILITY CHALLENGES IN THE MAQUILADORA INDUSTRY: A LEAN PERSPECTIVE</b>

description: This dataset contains some calculus and raw data
DOI: 10.6084/m9.figshare.26888995.v1
title: Data and supporting files concerning mothers' observations about their children's viewing habits for animated cartoons in Pakistan

description: The data set consists of questionnaire, tables, consent forms and the images for conducting focus group concerning Mothers' observations about their children's viewing habits for the animated cartoons in Pakistan
DOI: 10.17632/3ng65trfc7
title: A Study of Fine-tuning GPCR-mediated neuromodulation by biasing signaling through different G-protein subunits. Park et al..

description: This dataset is for a repository of the study titled 'Fine-tuning GPCR-mediated neuromodulation by biasing signaling through different G-protein subunits.' submitted to Molecular Cell. The file contains original tiff images taken for Western Blot, microscopy images, and DNA gel images.
DOI: 10.3535/jmf-s4f-eqk
title: Linguloidea Menke, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qsg-p5l-erw
title: Heliolitidae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rzn-hk9-p59
title: Dictyonema

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/a8r-742-wwh
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1136081_d47
title: Ex2R18C1 DAPI-5a from Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography.

description: This data represents repeated immunohistochemical staining and stripping (elution) cycles of an array tomography tissue ribbon from mouse barrel cortex following chessboard deprivation. Included are images from consecutive 70 nm serial sections aligned to produce a high-resolution volumetric reconstruction of a given antibody stain.
DOI: 10.17632/7wdw7jcbvb
title: PMACS-88 Histology Data

description: Histology/tissue imaging data for PMACS-88. All other data on figshare (see link below).
DOI: 10.3535/qac-6mb-sbl
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xr3-rv9-p6z
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.19551259.v1
title: pathway label file

description: pathway label file
DOI: 10.25412/iop.11991102.v1
title: Machine learning for nanomaterial-based optical wavelength estimation.data.zip

description: This is the training/testing pipeline used for:Davoud Hejazi, Shuangjun Liu, Amirreza Farnoosh, Sarah Ostadabbas, Swastik Kar, "Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms," 2019. arXiv.1907.02161Contact: Davoud Hejazi, Sarah Ostadabbas, Swastik KarThis project is collection of several codes, for the purpose of testing the efficacy of various machine learning algorithms in estimating optical wavelength using optical transmittance data of nanomaterials-based thin-film filters. More details can be found in "READEME.md" file included with the codes.
DOI: 10.3535/xsn-xkn-dv5
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25153028.v1
title: DATA - EFFECT OF TRAINING LOAD INTENSIFICATION ON THE SLEEP PATTERN OF YOUNG SOCCER PLAYERS.xlsx

description: Raw database from the study EFFECT OF TRAINING LOAD INTENSIFICATION ON THE SLEEP PATTERN OF YOUNG SOCCER PLAYERS.
DOI: 10.6084/m9.figshare.5584651.v1
title: Mango's phenological data.xls

description: The Impact of Climate Change on the Reproductive Phenology of Four Local Mango Species (<i>Mangifera</i> spp.) in Makassar, South Sulawesi, Indonesia. This study has been conducted in a forested area of Hasanuddin University campus at Makassar, Indonesia. These data consist of field data collection that were made from June 2013 to December 2014 by observing and recording weekly the production of vegetative shoots, generative shoots, and fruits, as well as the maturity stage of the fruit from the trees of each mango species. The weight and sugar level of the fruits of each species were measured during the fruit ripening season in 2013 and 2014 to assess the impact of seasonal change on fruit quality. Climate data were obtained from two sources: The National Centers for Environmental Prediction (NCEP) and Indonesian Meteorological, Climatological, and Geophysical Agency (BMKG) Region IV Makassar. This study is continued and going on currently
DOI: 10.3535/eqv-j0l-94k
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mk0-56a-cvd
title: Protoheliolites norvegicus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/yhjg8fbzpj
title: Data for: A Science Map of Leadership Research between 1990 and 2017

description: Explanations for the journal selection process for the article "A Computerized Approach to Understanding Leadership Research"
DOI: 10.3535/8fx-vfv-m50
title: Arachnostega Bertling, 1992

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fmy-3b2-jtn
title: Specklinia Lindl.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14724828.v4
title: DATA from: Chloroplastic and nuclear diversity of endemic Prunus armeniaca L. species in the oasis agroecosystems

description: Genotype of the 33 accessions for each of the 24 microsatellite loci.FASTA alignment of chloroplast sequences
DOI: 10.6084/m9.figshare.25492837.v1
title: Elite Universities Ireland 1922-2021

description: Dataset of the E, I and XE indices for the univerities that educated cabinet ministers in Ireland between 1922 and 2021
DOI: 10.3535/d6m-dnj-bvz
title: Specklinia Lindl.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/p06-h90-9jk
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.16750588.v1
title: CaO_w45-0.7z

description: Abundance and distribution of oxide abundances and Mg# values generated from KAGUYA multiband imager (MI) spectra<br>
DOI: 10.17632/9j6gdw2vx9
title: Data for: An efficient model transfer approach to suppress biological variation in elastic modulus and firmness regression models using hyperspectral data

description: Raw pre-processed dataset for model transfer
DOI: 10.17632/bst3xj82yp
title: Data for: Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes

description: python_code_for_validation.txt : python code for validation codingBook.xlsx : coding book for make validation data x_val_exam.csv : example for input data g_val_exam.csv : example for neurologic recovery outcome s_val_exam.csv : example for survival to discharge outcome dcaps.h5 : saved Deep-learning-based out-of-hospital cardiac arrest prognostic system (DCAPS) example_image_of_validation.jpeg : captured image for example
DOI: 10.3535/rld-bt7-ht9
title: Bioerosional trace fossils

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/slq-8fz-ew4
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.7856657.v1
title: Raw Data Saliva Japanese Children.xlsx

description: Veillonella isolation in the saliva of Japanese children
DOI: 10.3535/vhs-xs8-83h
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22767182.v1
title: <strong>Investigating the impacts of biofouled marine plastic debris on the olfactory behaviour of juvenile Seriola lalandi (yellowtail kingfish) </strong>

description: Datasheets and R code for Ingestion and Olfactory experiments
DOI: 10.6084/m9.figshare.4762477.v1
title: AFM gauss

description: gaussian noise
DOI: 10.17632/6nv68vr4yz
title: Dataset for Measuring Cryptocurrency Maturity: A Network-Centric Framework Using Bitcoin and the Decker Comparative Maturity Equation (DCME)

description: This dataset supports the research Measuring Cryptocurrency Maturity: A Network-Centric Framework Using Bitcoin and the Decker Comparative Maturity Equation (DCME)" by Nicolin Decker (2025). It provides real-time and historical data for analyzing cryptocurrency maturity, institutional liquidity, and systemic risk using the DCME framework. The dataset supports financial stability research, regulatory oversight, and institutional risk modeling, validated through Monte Carlo simulations, EGARCH/TGARCH volatility modeling, and institutional ownership analytics. 

Backtesting confirms DCME’s predictive accuracy in identifying liquidity risks preceding major market disruptions, including ETF-driven volatility spikes. 

Contents:
- Supplementary Documentation.
- DCME Collection & API Integration: API-based access to Glassnode, CoinGecko, Chainalysis, SEC Filings, and Bloomberg. 
- DCME Backtesting System: Python-based software for historical validation and institutional risk modeling using Monte Carlo simulations. 
- DCME Calculation Software: Python-based implementation for EGARCH/TGARCH volatility modeling and liquidity risk assessments. 
- Web-Based DCME Calculator: A tool for computing DCME maturity scores with API-driven data. 

Applications: 
- Market Maturity Analysis: Bitcoin, Ethereum, and traditional assets. 
- ETF Risk Assessment: Institutional ETF impact on volatility and liquidity. 
- Stress Testing: Simulating institutional exits and liquidity crises. 
- Regulatory Policy Development: Supporting Basel III, SEC, and IMF risk analysis. 

Primary Data Sources (API-Based Access):
- Cryptocurrency Data: Glassnode, CoinGecko, Chainalysis, Binance 
- Institutional & ETF Data: SEC Filings (13F Reports), BlackRock, Grayscale, Fidelity 
- Macroeconomic Indicators: Federal Reserve (FRED), IMF, World Bank 
- Traditional Asset Benchmarks: S&P 500, Gold, Bonds, Treasury Yields (Bloomberg API) 

Citation & License:
Users must cite the original thesis and developer: 

Decker, Nicolin (2025). Measuring Cryptocurrency Maturity: A Network-Centric Framework Using Bitcoin and the Decker Comparative Maturity Equation (DCME). Mendeley Data.

Derivative works must embed: 

Decker Comparative Maturity Equation (DCME) Deployment System. Developed by Nicolin Decker. Based on the thesis: "Measuring Cryptocurrency Maturity," 2025. Licensed under MIT.

Software Versioning & Terms:
This dataset is linked to DCME Deployment System v1.0. Future updates will expand cryptocurrency adoption metrics and volatility-adjusted maturity models. The dataset relies on API-based data retrieval, requiring users to configure API keys and data requests. 

The DCME Backtesting System (Python-based) enables historical validation and stress testing, allowing researchers to test financial stability using Monte Carlo simulations and maturity scoring.
DOI: 10.3535/1h0-8ap-qg2
title: Bioerosional trace fossils

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bp0-bqq-3b4
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.27302643.v1
title: Business Intent and Network Slicing Correlation Dataset from Data-Driven Perspective

description: BINS is based on a dataset called Business Intent and Network Slicing Correlation Dataset (BINS) within the context of intent-based networking. This dataset primarily includes user business intent description data, business intent annotation data, and data correlating business intents with network slices. As the latest dataset for network intent recognition, the deployment of BINS will aid in the development of intent-based network management systems and then promote the development of network automation.
DOI: 10.6084/m9.figshare.3515483.v1
title: Appendix A. Extended sensitivity analysis of the general multi-trophic fisheries model.

description: Extended sensitivity analysis of the general multi-trophic fisheries model.
DOI: 10.17632/fps6fhjdy6
title: Photographs data for Clinical performance of light-cured orthodontic adhesives for bonding brackets – an in-vitro study.

description: Scaled digital pictures of each bracket base were photographed using Canon DSLR 1500 D camera with a 100mm macro lens to take high-resolution photos needed to score ARI . Standardized images of the bases were taken at a distance of 30 cm and an angle perpendicular bracket base, with particular attention to ensuring that each image depicts the whole bracket base and any residual adhesive. The photos were loaded onto the computer and given arbitrary numbers before being saved as digital photographs in the JPEG file format; following this, the base of the brackets with residual adhesive was scanned. An automated count of the number of pixels was performed to compute the ARI percentages using Photoshop software (Adobe Systems inc, Mountain View, calif). This software program automatically calculated the bracket base's adhesive residual surface area percentage.
DOI: 10.3535/5ww-k0q-r80
title: Paleofavosites abstrusus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hjf-4p8-6aw
title: Bioerosional trace fossils

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25137986.v1
title: Additional file 1 of DendroX: multi-level multi-cluster selection in dendrograms

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.7441523.v4
title: Data of MEC systems

description: 1) There are five test data including the data for a 9-node MEC system, a 59-node MEC system, a 109-node MEC system and the entire simulation results of the 59-node MEC system, the 109-node MEC system as well as their initial guesses selection result for illustrating convergence theorem and initial guesses selection theorem.<br>2) Refer to our research work " A Unified Energy Flow Analysis Considering Initial Guesses in Complex Multi-Energy Carrier Systems" if published online.