cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8txgf7mcxt
title: Data for: Rapid root assimilation of added phosphorus in a lowland tropical rainforest of French Guiana

description: Uptake rates of N and P in mg/10cm²/14 days measured with PRS ion exchange probes. These were inserted into different plots fertilized with N, P or NP (and a control) at different times after fertilization to observe changes in soil nutrients following fertilization. Each plot had a series of root exclusion collars that had previously cut all roots and probes were inserted both inside and outside these collars. This allowed us to determine the effects of root uptake on the dynamic of available N and P fin the soil ollowing fertilization.
DOI: 10.6084/m9.figshare.1549676.v2
title: Endothelin receptor binders in ChEMBL

description: Supplimentary data file for "Endothelin" Davenport et al. submitted to Pharmacological Reviews Compounds mapping to EDNRA and/or EDNRB from ChEMBL 20. Includes work sheet for compounds &lt; 1uM binding 1133 vs A, 534 vs B, 456 A and B, 677 A-only and 78 B-only. Note the ChEMBL IDs can be converted to PubChem CIDs using the Identifier Exchange Service https://pubchem.ncbi.nlm.nih.gov/idexchange/idexchange-help.html
DOI: 10.6084/m9.figshare.19755313.v1
title: Figure data for "Self-emergence of robust solitons in a micro-cavity"

description: <em><strong>Figure data for </strong></em> <strong>"Self-emergence of robust solitons in a micro-cavity"</strong> Maxwell Rowley<sup>1</sup>, Pierre-Henry Hanzard<sup>1</sup>, Antonio Cutrona<sup>1,2</sup>, Hualong Bao<sup>1</sup>, Sai T. Chu<sup>3</sup>, Brent E. Little<sup>4</sup>, Roberto Morandotti<sup>5</sup>, David J. Moss<sup>6</sup>, Gian-Luca Oppo7, Juan Sebastian Totero Gongora<sup>1,2</sup>, Marco Peccianti<sup>1,2</sup> and Alessia Pasquazi<sup>1,2,*</sup> <sup>1</sup> Emergent Photonics (Epic) Lab, Dept. of Physics and Astronomy, University of Sussex, BN1 9QH, UK <sup>2</sup> Emergent Photonics Research Centre, Dept. of Physics, Loughborough University, Loughborough LE11 3TU <sup>3</sup> Department of Physics, City University of Hong Kong, Tat Chee Avenue, Hong Kong, China SAR <sup>4</sup> State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, CAS, Xi'an, China <sup>5</sup> INRS-EMT, 1650 Boulevard Lionel-Boulet, Varennes, Québec, Canada J3X 1S2 <sup>6 </sup>Optical Sciences Centre, Swinburne University of Technology, Hawthorn, VIC 3122, Australia <sup>7</sup> SUPA, Department of Physics, University of Strathclyde, Glasgow, Scotland, UK <sup>*</sup>a.pasquazi@sussex.ac.uk Article DOI: https://doi.org/10.1038/s41586-022-04957-x <br> <strong>Acknowledgements</strong> We acknowledge the support of the EPSRC, Industrial Innovation Fellowship Programme, under grant no. EP/S001018/1, the UK Canada Quantum Technology Programme and Innovate UK (IUK project nos. 77087 and 10004412). This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme grant agreement no. 851758 (TELSCOMBE). A.C. acknowledges the support of the DSTL-Defence Science & Technology Laboratory through the studentship DSTLX1000142078. J.S.T.G. acknowledges the Leverhulme Trust (Leverhulme Early Career Fellowship grant no. ECF-2020-537). R.M. acknowledges funding by the Natural Sciences and Engineering Research Council of Canada (NSERC) through the joint UK Canada Quantum Technology Programme, and by the Canada Research Chair Program. B.E.L. acknowledges support from the Strategic Priority Research Programme of the Chinese Academy of Sciences (grant no. XDB24030300). We are indebted to L. Peters, L. Olivieri and A. Bendahmane for enlightening discussions.
DOI: 10.6084/m9.figshare.28856483.v2
title: HOFSyn

description: HOFSyn: The First Structure and Synthesis Dataset for Hydrogen-Bonded Organic Frameworks (HOFs)<br><b>HOFSyn</b> is the first curated dataset of Hydrogen-Bonded Organic Frameworks (HOFs) containing both crystal structure files and experimentally reported synthesis conditions. This dataset is intended to support machine learning and data-driven research in porous materials. Dataset Contents<br>- <code><strong>HOF_database.csv</strong></code> A CSV file containing synthesis conditions and physical properties for all real HOFs in the HOFSyn dataset. <br>- <code><strong>HOF_Literature.zip</strong></code> A compressed archive of original reference literature (PDF format) used to curate the HOFSyn dataset.<br>- <code><strong>hof_database_cifs_raw.zip</strong></code> A set of processed `.cif` structure files converted and filtered using `pymatgen`. - All structures are standardized to space group <b>P1</b> - These files are directly compatible with training pipelines for models such as <b>HOFNet</b> and <b>HOFDiff</b> <br>- <code><strong>cifs.zip</strong></code> The raw `.cif` files originally downloaded from the literature and databases. - <code><strong>HOFSyn EndNote Library.rtf</strong></code> A formatted bibliography (in RTF format) of all references cited for the HOFSyn dataset, suitable for importing into reference managers such as EndNote or Zotero.<br><br>
DOI: 10.6084/m9.figshare.29135063.v3
title: <b>Autonomous Physical Learning</b>

description: This study examines the role of social support in promoting adolescents' autonomous physical learning behavior, considering the mediating effects of self-efficacy and exercise motivation. As part of the ongoing "Double Reduction" policy and the "Healthy China" strategy, improving adolescents' physical fitness and sports literacy has become a central focus of national education reform. Autonomous physical learning is crucial for promoting both physical and mental health, and fostering lifelong engagement in physical activity. However, existing research has typically focused on average relationships between variables, neglecting the psychological pathways and individual differences that underpin autonomous physical learning.This study uses Social Cognitive Theory and Self-Determination Theory to develop a chain mediation model, exploring how social support influences autonomous physical learning behavior through self-efficacy and exercise motivation. Latent Profile Analysis (LPA) was employed to identify different latent types of students' autonomous physical learning behaviors, and Multi-group Structural Equation Modeling (SEM) was used to analyze differences in psychological pathways across these types. The study surveyed 2,359 students from three middle schools in Shandong Province, collecting data for structural and latent class modeling analysis.The findings reveal that social support positively predicts autonomous physical learning behavior, with self-efficacy and exercise motivation serving as partial and chain mediators. Four distinct latent behavior types were identified: "Highly Engaged," "Positively Regulated," "Selectively Participative," and "Passively Participative." These groups exhibited significant differences in their psychological pathways, with the "Highly Engaged" group relying more on intrinsic motivation, while the "Passively Participative" group was more responsive to external activation.This research advances the understanding of autonomous physical learning by incorporating multiple pathway models and considering individual differences. It provides valuable insights for designing more targeted interventions in school physical education, offering a multidimensional theoretical framework for further studies on adolescent physical behavior.
DOI: 10.6084/m9.figshare.7739882.v1
title: Depression Score and Primary Hyperparathyroidism

description: Figure 1: Relationship between changes in PHQ-9 score (12 month score-baseline score) after parathyroid surgery, and baseline A.PTH, B. calcium, and C. Baseline PHQ-9 score.
DOI: 10.6084/m9.figshare.11664066.v3
title: Supplementary data for Cinachyrella sp. and Paratetilla sp. population structure and microbiome study

description: 16S rRNA sequences from marine sponges Cinachyrella sp. and Paratetilla sp. together with other supplementary data.
DOI: 10.6084/m9.figshare.14304221.v1
title: Spectrophotometric Determination of Allura Red AC and Tartrazine in Food Products Using Hydrophobic Deep Eutectic Solvents as an Environmentally Sustainable Micro-Extractor

description: This paper reports the application of hydrophobic deep eutectic solvents (HDES) as an environmentally friendly alternative for liquid-phase microextraction (LPME) of Allura Red AC and Tartrazine in food products and the spectrophotometric determination of these analytes. The HDES used in this work were prepared by mixing octanoic acid (OctAc) or decanoic acid (DecAc) and tetrabutylammonium bromide (N4444-Br) in a molar ratio of 2:1. An investigation was also carried out regarding the effects of sample pH, sample volume, HDES volume, and concomitants on the analytical performance of the proposed method. The analytical curves obtained for Allura Red AC and Tartrazine in octanoic acid (OctAc)-tetrabutylammonium bromide (N4444-Br) were in the linear concentration ranges of 0.05 to 2.00 mg L-1 and 0.04 to 2.14 mg L-1, with limits of detection of 0.005 and 0.004 mg L-1, respectively. The proposed technique was successfully applied for the determination of Allura Red AC and Tartrazine in food products.
DOI: 10.6084/m9.figshare.20846754.v1
title: Dilemmas about Aging and Retirement in the Film ‘Going in Style’

description: ABSTRACT This teaching case portrays the routine of Willie, Joe, and Albert, three retired elderly people who lose their pension acquired after many years of work at the Wechsler factory. The company is ending its activities in the United States and the bank of which Joe is a client will be managing its liabilities. Living a modest life, the characters will face problems arising from the new context of the post-retirement period. To solve their problems, they decide to rob a bank. The objective of the case is to discuss the aging process and the dilemmas involving the elderly in the retirement period. As far as the data source is concerned, the case is fictitious, built from the movie Going in style, directed by Zach Braff and starring Morgan Freeman (Willie), Michael Caine (Joe), and Alan Arkin (Albert). The case uses as a didactic resource the description of scenes and subsequent preparation of teaching notes, which allows teachers and undergraduate and graduate students (both lato and stricto sensu) to analyze and critically discuss the dilemmas faced by elderly people in the retirement period. The case can be applied in disciplines such as People Management, Human Resource Management, Work and Society, Diversity in Organizations, and Labor Relations.
DOI: 10.6084/m9.figshare.25796557.v1
title: Making Quick-Build Sidewalk Extensions Accessible to PVD - Dataset

description: Quick-build sidewalk extensions that shorten crossing distances and improve visibility between drivers and pedestrians waiting to cross the street are understood by most travelers, but wayfinding is difficult for pedestrians with vision disabilities (PVD) who are unlikely to know they exist without specific familiarization. This research evaluated the effectiveness of three potential treatments for mitigating these wayfinding problems, all of which resulted in improvement in measures of wayfinding: 1) Removing the detectable warning surface (DWS) from the curb ramp and installing DWS across the width of the crosswalk at the perimeter of the sidewalk extension; 2) Placing a 24-inch-wide strip of raised-bar tactile direction indicators (TDI) with bars oriented perpendicular to the crossing direction along one side of the curb ramp and extending through the sidewalk extension to the DWS at the perimeter, and 3) Placing trapezoidal tactile warning delineators (TWD) along the edges of the crosswalk, within the sidewalk extension, to delineate the pedestrian path.
DOI: 10.6084/m9.figshare.7564673.v1
title: Supplementary Material for: Introducing Network Intervention Analysis to Investigate Sequential, Symptom-Specific Treatment Effects: A Demonstration in Co-Occurring Insomnia and Depression

description: Medicine
DOI: 10.6084/m9.figshare.13565204.v1
title: Financial disclosure quality and sustainability disclosure quality. A case in China.

description: This dataset refers to the journal article titled Financial disclosure quality and sustainability disclosure quality. A case in China.
DOI: 10.6084/m9.figshare.25399780.v9
title: Data for Zeng et al. 2024

description: The data used for Zeng et al. 2024
DOI: 10.17632/7k4v53xtyd
title: Good And Bad Classification Of cauliflower curry

description: Data Description for the Project: Good and Bad Classification of Cauliflower Curry
This dataset is specifically curated for the binary classification task of determining whether a sample of cauliflower curry is "Good" or "Bad" based on its features. The dataset contains a balanced set of 1000 samples, with 500 labeled as "Good" and 500 labeled as "Bad." Each sample represents distinct characteristics of cauliflower curry, which were measured and recorded for the analysis.

1. Dataset Size:

Total Samples: 1000
Good Samples: 500
Bad Samples: 500
2. Features of the Dataset:
The features used for classification capture the sensory, chemical, and visual attributes of cauliflower curry, which are key indicators of quality.

Sensory Features:

Aroma Score (0 to 10): Indicates the freshness and pleasantness of the aroma.
Taste Score (0 to 10): Evaluated based on flavor balance and seasoning.
Texture Score (0 to 10): Measures firmness and consistency of the curry.
Visual Features:

Color Intensity (0 to 255): Captures the brightness and visual appeal of the curry.
Presence of Spoiled Spots (Binary): 1 if visible signs of spoilage are present, 0 otherwise.
Uniformity of Ingredients (0 to 10): Evaluates whether the ingredients are evenly distributed.
Chemical Features:

pH Value (2.5 to 7): Helps determine the acidity level.
Moisture Content (%): Indicates water activity in the curry.
Volatile Compounds Concentration (ppm): Measures compounds contributing to aroma degradation.
3. Target Variable:

Quality Label (Binary):
"Good" labeled as 1
"Bad" labeled as 0
4. Data Distribution:
The dataset ensures a balanced distribution of classes, which helps avoid model biases during training and testing. Both good and bad samples have been selected to cover a wide range of variations, including different cooking methods, storage conditions, and ingredient compositions.

5. Data Collection Method:
Samples were prepared and evaluated by expert food analysts. Sensory scores were assigned by a panel of trained testers, while chemical measurements were conducted using standard laboratory techniques.

6. Potential Applications:

Automated quality inspection systems for food processing industries.
Development of machine learning models for culinary quality assessment.
Improved shelf-life prediction for cauliflower-based dishes.
This dataset provides a robust foundation for building models capable of accurately classifying cauliflower curry samples based on their quality attributes.
DOI: 10.17632/tnj49gpmtz
title: Samples of electronic invoices

description: Electronic invoices have become the product of the information age, increasing their utility on the nowadays market. Looking at real electronic invoices across the globe, we have come up with sufficient placement of the information. Each detail has been generated in a programmable way using Python programs. Billing information is minimalistic to omit or lower the chance of fraud detection. The process of collecting each product has been achieved by scrapping popular online marketplaces. As a result, categorized groups have been created to imitate a manner of the persona. The direction of the potential reusability is heading towards becoming an input of the machine learning fraud detection algorithms or data extraction mechanisms. Datasets presents 1000 samples each of auto-generated invoices containing: - valid information. - valid information with colored iban background. RGB color of a background varies between (255,255,240) to (255,255,254). - valid information with modified space between iban characters. Charspace coefficient varies between 0.001 to 1. Both ends of a special invoice modifier represents a domain from detectable to non-detectable factor by a human eye. Nomenclature: invoice_(_charspace_)(_color_B_).pdf
DOI: 10.17632/wgswcr8z24
title: Myo armband dataset for some American Sign Language Signs

description: The dataset consits of .csv files collected from two Myo armbands. The format of the files are [word_name]_[id]. The ‘word_name’ is the English translation of the American Sign Language word used and the ‘id’ is a unique identifier. The .zip for each of the above links has sub-folders for each User. Each file has 50 columns. They represent a sub-sampled data collection from two Myo devices worn on left and right hands of the signer. The first column is the ‘Counter’ that goes from 1 to 50. The following columns are of the format: [Sensor][pod/direction][left/right]. For instance the EMG reading for the first EMG pod (out of 8) on the left hand would be called EMG0R and the accelerometer reading for the Z axis on the left hand would be called: AXL If you use this dataset please cite the following papers: @inproceedings{paudyal2016sceptre, title={Sceptre: a pervasive, non-invasive, and programmable gesture recognition technology}, author={Paudyal, Prajwal and Banerjee, Ayan and Gupta, Sandeep KS}, booktitle={Proceedings of the 21st International Conference on Intelligent User Interfaces}, pages={282--293}, year={2016}, organization={ACM} } @inproceedings{paudyal2017dyfav, title={Dyfav: Dynamic feature selection and voting for real-time recognition of fingerspelled alphabet using wearables}, author={Paudyal, Prajwal and Lee, Junghyo and Banerjee, Ayan and Gupta, Sandeep KS}, booktitle={Proceedings of the 22nd International Conference on Intelligent User Interfaces}, pages={457--467}, year={2017}, organization={ACM} }
DOI: 10.6084/m9.figshare.22691551.v1
title: Raw data for figures

description: Carbon aerogels are elastic, mechanically robust and fatigue resistant and are known for their promising applications in the fields of soft robotics, pressure sensors etc. However, these aerogels are generally fragile and/or easily deformable, which limits their applications. Here, we report a synthesis strategy for fabricating highly compressible and fatigue-resistant aerogels by assembling interconnected carbon tubes. The carbon tube aerogels demonstrate near-zero Poisson’s ratio, exhibit a maximum strength of more than 20 MPa and a completely recoverable strain up to 99%. They show high fatigue resistance (less than 1.5% permanent degradation after 1,000 cycles at 99% strain) and are thermally stable up to 2,500 °C in an Ar atmosphere. Additionally, they possess tunable conductivity and electromagnetic shielding. The combined mechanical and multi-functional properties offer an attractive material for the use in harsh environments.<br>
DOI: 10.6084/m9.figshare.27952251.v1
title: Supplementary Material for: Do non-prescription products help in managing androgenic alopecia?

description: Background: Androgenetic alopecia (AGA) is the most common cause of hair loss. Currently approved medications for AGA are topical minoxidil and oral finasteride, both of which are prescription medications which may cause side effects. Non-prescription products such as herbal extracts and over-the-counter medications have limited evidence regarding safety and efficacy; however, they may be an alternative for patients unable or unwilling to use prescription medication. 

Summary: This article reviews investigator-blinded, controlled clinical trials assessing the efficacy of non-prescription monotherapies in treating AGA. A total of 13 studies were included using procyanidin, cetirizine, caffeine, Oryza sativa bran, pumpkin seed oil, rosemary oil, saw palmetto and watercress. The available data demonstrate considerable improvements in one or more parameters: total hair density, terminal hair density and hair diameter. Procyanidin and cetirizine were investigated in more investigator-blinded, randomized controlled trials than other agents. Minimal adverse events were observed; however, more robust clinical trial and long-term safety and efficacy data are warranted. 

Key Message: Additional investigations through the conduct of high quality randomized, controlled trials with larger numbers of patients will help determine the effectiveness and safety of this class of compounds, either as monotherapy or as an addition to current pharmacological interventions.
DOI: 10.6084/m9.figshare.28357832.v1
title: Microbial CUE

description: We found that CUEex decreased with absolute latitude, while CUEen showed the opposite trend. Warming reduced CUEex and CUEen by 3.6% and 16.5%, respectively. Drought increased CUEex by 7.9%, but decreased CUEen by 14.3%. Nutrient inputs consistently decreased CUEex by 5.0-17.1%, while nitrogen and nitrogen combined with phosphorus and potassium inputs increased CUEen by 25.5% and 43.1%, respectively. Aridity index, soil pH, and cation exchange capacity were the main factors influencing microbial CUEex. In contrast, microbial respiration and growth rates, followed by microbial biomass, were the major predictors of microbial CUEen. Main conclusions: Biogeochemical models should account for the opposite spatial patterns of microbial CUEex and CUEen, as well as their respective specific drivers under global changes, to accurately predict microbial responses to various carbon sources.
DOI: 10.6084/m9.figshare.6265556.v1
title: Patient19

description: Male Patient with 370 slice of pulmonary embolism CT-Angiography.
DOI: 10.6084/m9.figshare.19939805.v2
title: SI.docx

description: TABLE S1 The distributions of homologues of the Fe(II) oxidation proteins in phylum Proteobacteria at genus level assessed by querying the non-reductant UniRef_90 database (E-value 1e-20). Data of asteroid impacts, solar luminosity, and fluctuations of atmospheric oxygen and carbon dioxide amount provided by Timetree (http://www.timetree.org) were displayed synchronously with divergence times in the form of timepanels. The estimated occurrence time of the Great Oxidation Event (GOE) event (~2,400 Mya) was marked with blue dotted line. <br> [Sequence similarity network and protein structure prediction provide evolutionary insights into the microbial ferrous iron oxidation pathways]
DOI: 10.6084/m9.figshare.23402816.v1
title: 7,690 SNP markers for genomic selection of quantitative traits in chile peppers

description: Genotype data (numeric) of the 204 chile pepper genotypes for 7,690 single nucleotide polymorphism (SNP) markers used for genomic prediction.
DOI: 10.6084/m9.figshare.26550187.v1
title: Supplementary Data

description: Supplementary Data 1 Major elements (wt. %) of olivine, spinel, pyroxene, plagioclase, and ilmenite from the Chang’e-5 basalt fragments.Supplementary Data 2 Fo and trace elements (ppm) of olivine from the Chang’e-5 basalt fragments.Supplementary Data 3 Major and trace elements (wt. %) of spinel from the Chang’e-5 basalt fragments.Supplementary Data 4 The<i> f</i>O<sub>2</sub> derived from olivine V oxybarometer.Supplementary Data 5 The <i>f</i>O<sub>2</sub> derived from spinel V oxybarometer.Supplementary Data 6 The <i>f</i>O<sub>2</sub> results derived from spinel-olivine V oxybarometer.Supplementary Data 7 The temporal potential temperature (<i>T</i><sub>p</sub>) of low-Ti lunar basalts, meteorites and Chang’e-5 basalts.
DOI: 10.6084/m9.figshare.28424285.v1
title: Articaine buccal infiltration for mandibular first molars with symptomatic irreversible pulpitis.

description: Articaine buccal infiltration for mandibular first molars with symptomatic irreversible pulpitis