cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/c3dhycyvj8
title: A high-order non field-aligned approach for the discretization of strongly anistropic diffusion operators in magnetic fusion

description: In this work we present a hybrid discontinuous Galerkin scheme for the solution of extremely anisotropic diffusion problems arising in magnetized plasmas for fusion applications. Unstructured meshes, non-aligned with respect to the dominant diffusion direction, allow an unequalled flexibility in discretizing geometries of any shape, but may lead to spurious numerical diffusion. Curved triangles or quadrangles are used to discretize the poloidal plane of the machine, while a structured discretization is used in the toroidal direction. The proper design of the numerical fluxes guarantees the correct convergence order at any anisotropy level. Computations performed on well-designed 2D and 3D numerical tests show that non-aligned discretizations are able to provide spurious diffusion free solutions as long as high-order interpolations are used. Introducing an explicit measure of the numerical diffusion, a careful investigation is carried out showing an exponential increase of this latest with respect to the non-alignment of the mesh with the diffusion direction, as well as an exponential decrease with the polynomial degree of interpolation. A brief assessment of the method with respect to two finite-difference schemes using non-aligned discretization, but classically used in fusion modeling, is also presented.
DOI: 10.17632/f4gr6rgkwr
title: Good and bad Classification and identification of Omelette

description: Dataset Description: Good and Bad Omelette Classification

This dataset is created for the binary classification task of identifying whether an omelette sample is of good or bad quality. The primary objective is to develop a machine learning model that can accurately classify an omelette image or sample based on predefined quality parameters.

1. Dataset Size and Structure:
The dataset consists of 2000 samples, equally divided into two classes:

1000 Good Omelettes

1000 Bad Omelettes


Each sample in the dataset represents one omelette and is accompanied by a corresponding label:

1 or "Good" for high-quality omelettes

0 or "Bad" for low-quality omelettes


2. Data Type:
The dataset may include:

Images: High-resolution photos of omelettes under consistent lighting conditions. Each image is labeled accordingly.

Optional Metadata (if available):

Texture metrics (e.g., crispiness, fluffiness)

Color balance (golden brown vs burnt or undercooked)

Shape regularity

Ingredients used

Cooking time and temperature



3. Quality Criteria (Labeling Guidelines):

 i) Good Omelette Characteristics:

 Evenly cooked (not burnt or undercooked)

 Appealing golden-brown color

 Balanced texture (not rubbery or overly crispy)

 Well-shaped and visually appealing

 Includes expected ingredients (e.g., eggs, milk, seasoning, optional vegetables)


 ii) Bad Omelette Characteristics:

 Undercooked or overcooked (burnt)

 Pale or overly dark in color

 Irregular shape, torn or folded poorly

 Displeasing texture (e.g., too runny or rubbery)

 Missing or wrong ingredients



4. Purpose of the Dataset:

 The dataset is intended for:

 Training and evaluating computer vision or quality assessment models

 Image classification tasks in food quality control

 Benchmarking performance of different ML algorithms in binary classification


5. Applications:

 i) Automated food quality inspection in restaurants or food delivery services

 ii) Educational tools for culinary training

 iii) Quality assurance in pre-packaged meal production


6. upload pictures:
upload proper bad 1000 pictures and good 1000 pictures.

7. Ethics and Bias Consideration:
 
 Care has been taken to ensure diversity in sample acquisition—different cooking styles, lighting, and plating are considered to avoid bias.
DOI: 10.17632/shhps4wg8m
title: Biochemical profile of  coconut water from 3 cultivars in the Philippines

description: This dataset contains the biochemical profiles of coconut water (liquid endosperm) from three Philippine coconut cultivars: Aromatic dwarf (AROD), Catigan dwarf (CATD), and Laguna tall (LAGT), with fruit ages ranging from 5 to 12 months. The dataset includes sodium, potassium, magnesium, calcium, and chloride (in ppm) in coconut water. Other parameters include glucose content (mg/mL), specific gravity, pH, soluble protein (mg/mL), and total soluble solids (percent Brix). This dataset includes the weight of liquid endosperm (in grams), total fruit weight (in kg), longitudinal (in cm), and transverse circumferences (in cm) of the coconut fruit.
The dataset is also an outcome of a DOST, PCIEERD-funded project that develops a high-electrolyte, low-glycemic coconut water beverage product.
DOI: 10.17632/szvjkt5d99
title: Data Set: Socio-Demographic Labor -Asean 2012- 2021 

description: Data about labor and unemployment - Socio-Demographic ASEAN 2012-2021  (source: ASEAN Secretariat, World Bank, UNDESA, 2021)
DOI: 10.6084/m9.figshare.14143751.v1
title: Seven steps to reliable cyclic voltammetry measurements for the determination of double layer capacitance - Dataset -

description: Datasets used for the figures in the manuscript "Seven steps to reliable cyclic voltammetry measurements for the determination of double layer capacitance"
DOI: 10.6084/m9.figshare.28603919.v2
title: Voltage detected single spin dynamics in diamond at ambient conditions

description: Data that is used in the manuscript "Voltage detected single spin dynamics in diamond at ambient conditions" and its Supplementary Information.
DOI: 10.6084/m9.figshare.3142417.v1
title: Ovine rumen papillae biopsy via oral endoscopy; a rapid and repeatable method for serial sampling

description: AIMS: To explore and validate the utility of rumen endoscopy for collection of rumen papillae for gene expression measurement. METHODS: Four adult Coopworth ewes were fasted for either 4 or 24 hours. Animals were sedated, placed in a dorsally recumbent position at 45 degrees with the head upright, and an endoscope inserted via a tube inserted into the mouth. Biopsies of rumen papillae were taken from the ventral surface of the rumen atrium under visual guidance. Two biopsies were collected from one of the animals that had been fasted for 4 hours, and three from one of the animals that had been fasted for 24 hours. Video of the rumen atrium and reticulum was also collected. The animals recovered uneventfully. Biopsies were subsequently used for extraction and sequencing of mRNA. RESULTS: The ventral surface of the rumen atrium was accessible after 4 hours off pasture, but a larger region was accessible after 24 hours of fasting. Sedation allowed access for endoscope use for around 5 to 10 minutes after which increased saliva flow was noted. Rumen papillae biopsies were easily collected, with samples from a variety of sites collected in the ∼10 minute time window. High quality RNA was obtained for stranded mRNA sequencing. Of the resulting reads, 69–70% mapped uniquely to version 3.1 of the ovine genome, and 48–49% to a known gene. The rumen mRNA profiles were consistent with a previously reported study. CONCLUSIONS: This method for obtaining rumenal tissue was found to be rapid and resulted in no apparent short or long term effects on the animal. High quality RNA was successfully extracted and amplified from the rumen papillae biopsies, indicating that this technique could be used for future gene expression studies. The use of rumen endoscopy could be extended to collection of a variety of rumen and reticulum anatomical measurements and deposition and retrieval of small sensors from the rumen. Rumen endoscopy offers an attractive and cost effective approach to repeated rumen biopsies compared with serial slaughter or use of cannulated animals.
DOI: 10.6084/m9.figshare.6838802.v1
title: Additional file 7 of Benchmarking differential expression analysis tools for RNA-Seq: normalization-based vs. log-ratio transformation-based methods

description: Benchmark performance for Williams et al. data. This table contains the precision and recall estimates for several methods as applied to the Williams et al. data. This table is used to make figures. (CSV 6 kb)
DOI: 10.17632/xh2g877zy5
title: A Way Forward to Integrating Cascading Risk into Local Resilience Strategies in Central Asia

description: This research developed a way forward to integrate cascading risk into local resilience strategies in Nur-Sultan, Bishkek, and Dushanbe, the respective capitals of Kazakhstan, Kyrgyzstan, and Tajikistan. To do so, it met three core objectives: 
1) To examine stakeholder awareness and perceptions of cascading risk and interconnected failures.
2) To evaluate the extent to which cascading risk and interconnected failures are considered in existing strategies for resilience.  
3) To understand local capacities and priorities for actions to integrate cascading risk into local resilience strategies.  

It was hypothesised that if the integration of cascading risk and interconnected failures in existing resilience strategies was insufficient, then the results could outline: 
1) Inadequate awareness (consciousness) and understanding (knowledge) of cascading risk amongst key stakeholders.  
2) Acknowledgement of the relevance of cascading risk to resilience but limited local capacities to develop and implement strategies.  

Research followed a mixed methods approach comprising a questionnaire and semi-structured interviews. This dataset includes only the questionnaire data, to preserve anonymity. Data collection was carried out in July 2021 and targeted mixed stakeholders working in fields relating to disaster risk reduction, resilience, infrastructure, urban development, and urban policy in Central Asia. 

The questionnaire was designed in SurveyMonkey, comprising 20 questions across six pages including an introduction which stated the target audience and completion time (5–10 minutes). Judgment and snowball sampling identified participants. The questionnaire was made available in English and Russian and completed online on a self-administered basis, accessible via two web-links distributed via email and LinkedIn. Question 1 asked what location participants answers best related to, with an option for general/regional if participant knowledge was not specific to one locality.

The questionnaire received 115 responses, of which 55 were considered valid based on a completion rate of at least 50 percent. The high number of responses with low completion was considered a result of the questionnaire design and sampling method. Almost half of participants only answered Q1 (location). Subsequent questions were not visible until ‘next’ was clicked, and whilst the introduction stated the target audience, participants contacted through snowball sampling may have deemed their experience not relevant after reviewing questions in the following sections.  

Sheet 1 'Raw' is the raw data for the 115 responses collected. Sheet 2 'Accepted' includes the 55 responses that were accepted for this research, based on a completion rate of at least 50 percent. Sheet 3 'Accepted & Translated' includes the accepted responses, with the 15 Russian responses translated to English. Sheet 4 'Numerical' details the accepted responses, converted to numerical data where possible.
DOI: 10.6084/m9.figshare.14289244.v1
title: Relative contributions of auditory and cognitive functions on speech recognition in quiet and in noise among older adults

description: Abstract Introduction: Hearing acuity, central auditory processing and cognition contribute to the speech recognition difficulty experienced by older adults. Therefore, quantifying the contribution of these factors on speech recognition problem is important in order to formulate a holistic and effective rehabilitation. Objective: To examine the relative contributions of auditory functioning and cognition status to speech recognition in quiet and in noise. Methods: We measured speech recognition in quiet and in composite noise using the Malay Hearing in noise test on 72 native Malay speakers (60-82 years) older adults with normal to mild hearing loss. Auditory function included pure tone audiogram, gaps-in-noise, and dichotic digit tests. Cognitive function was assessed using the Malay Montreal cognitive assessment. Results: Linear regression analyses using backward elimination technique revealed that had the better ear four frequency average (0.5-4 kHz) (4FA), high frequency average and Malay Montreal cognitive assessment attributed to speech perception in quiet (total r2 = 0.499). On the other hand, high frequency average, Malay Montreal cognitive assessment and dichotic digit tests contributed significantly to speech recognition in noise (total r2 = 0.307). Whereas the better ear high frequency average primarily measured the speech recognition in quiet, the speech recognition in noise was mainly measured by cognitive function. Conclusions: These findings highlight the fact that besides hearing sensitivity, cognition plays an important role in speech recognition ability among older adults, especially in noisy environments. Therefore, in addition to hearing aids, rehabilitation, which trains cognition, may have a role in improving speech recognition in noise ability of older adults.
DOI: 10.6084/m9.figshare.21120058.v1
title: RAAAP-3 HIBARMA Main Dataset

description: The main dataset (excluding a number of free text responses to preserve anonimity - these are in 17 other seprarate linked files) from the RAAAP-3 HIBARMA international survey conducted in the first part of 2022. This is the third iteration of the triennial survey initially funded by NCURA and now endorsd by INORMS. Other files in the collection will explain the methods used and describe the data in more detail. The original file (.sav) is an SPSS data file. the excel version (.xlsx) is a simple export using the variable names and value labels
DOI: 10.6084/m9.figshare.23535237.v2
title: Encoding a magic state with beyond break-even fidelity (datasets)

description: Data availability for research project: https://arxiv.org/abs/2305.13581. Version 2 contains updated code for error analysis.
DOI: 10.6084/m9.figshare.29037233.v2
title: Test

description: Test
DOI: 10.17632/mg2s6sjscn
title: NGR-TNF Engineering with an N‑Terminal Serine Reduces Degradation and Post-Translational Modifications and Improves Its Tumor-Targeting Activity

description: Raw data and original images for the article entitled "NGR-TNF Engineering with an N-Terminal Serine Reduces Degradation and Post-Translational Modifications and Improves Its Tumor-Targeting Activity" by Angelo Corti, Anna Maria Gasparri, Angelina Sacchi, Barbara Colombo, Matteo Monieri, Eltjona Rrapaj, Andrés J. M. Ferreri, and Flavio Curnis
Molecular Pharmaceutics 2020 17 (10), 3813-3824, DOI: 10.1021/acs.molpharmaceut.0c00579
DOI: 10.17632/rrcnrp3dkx
title: CosmoTransitions: Computing cosmological phase transition temperatures and bubble profiles with multiple fields

description: Abstract I present a numerical package (CosmoTransitions) for analyzing finite-temperature cosmological phase transitions driven by single or multiple scalar fields. The package analyzes the different vacua of a theory to determine their critical temperatures (where the vacuum energy levels are degenerate), their supercooling temperatures, and the bubble wall profiles which separate the phases and describe their tunneling dynamics. I introduce a new method of path deformation to find the profiles of b... Title of program: CosmoTransitions Catalogue Id: AEML_v1_0 Nature of problem I describe a program to analyze early-Universe finite-temperature phase transitions with multiple scalar fields. The goal is to analyze the phase structure of an input theory, determine the amount of supercooling at each phase transition, and find the bubble-wall profiles of the nucleated bubbles that drive the transitions. Versions of this program held in the CPC repository in Mendeley Data AEML_v1_0; CosmoTransitions; 10.1016/j.cpc.2012.04.004 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.6084/m9.figshare.13060202.v1
title: Criminal Thinking Data.sav

description: Abstract: A large body of literature has explored moral decision-making; however, fewer have examined the explicit role of criminal thinking (CT). This study sought to determine whether moral judgement is influenced by CT in the general population and if this relationship further depends on the type of scenario (i.e., immoral vs. illegal) and/or the actor orientation (i.e., self vs. other). Using a sample of 239 U.S. adults and hypothetical case vignettes, results showed that those who endorsed higher levels of CT rated offending behaviors, regardless of the type of scenario, as significantly more morally acceptable than participants who endorsed lower levels of CT. However, this difference was more pronounced for the immoral (but not illegal) dilemma compared to the illegal dilemma. Among a mostly non-offending sample, this finding makes sense as it appears participants’ levels of criminal thinking may have been high enough to rationalize an immoral dilemma but not so high as to allow for rationalization of an illegal dilemma. No significant differences were found concerning actor orientation. This research not only has important implications for better understanding traits associated with moral decision-making and explaining the rationale behind layperson’s everyday moral choices, but it may also have practical application in legal contexts. For example, jurors with higher levels of CT could be more inclined to rationalize a defendant’s or litigant’s alleged actions. However, further research is needed in these contexts. Findings were also limited by a lack of racial diversity among participants. Additional limitations and future directions are discussed.<br><br>A path analysis within structural equation modeling was used to examine whether moral reasoning is influenced by levels of CT and whether this relationship is moderated by type of dilemma (i.e. immoral vs. illegal) and/or the actor-focused orientation (i.e. self vs. other) of the dilemma. actor-focused orientation was a between-subjects factor with type of dilemma as the within-subjects factor. <br>
DOI: 10.6084/m9.figshare.28333775.v1
title: Supplementary data for: Manipulating Predictive Focus Improves the Taste Appreciation of Coffee

description: A summary of all responses to the questionnaire used in the article "Manipulating Predictive Focus Improves the Taste Appreciation of Coffee," written by Chiyu Maeda, Toshimasa Yagi, and Satoshi Nishida.
DOI: 10.17632/975znrdkt8
title: Data for: Recovery of rare earth elements from electronic waste

description: This dataset contains information regarding the patented methods and uses (both application and granted patents) for the recovery of rare earth elements from electronic waste.
The following databases used have been used for data mining: 
-	Espacenet (a free of charge database provided by the European Patent Office), accessed on Oct. 25, 2021
-	Orbit Intelligence (FamPat) (a fee-based database provided by Questel), accessed on Oct. 25, 2021
The file titled “Rare earth recover_Espacenet” contains information related to Title, Inventors, Applicants, Publication number, Earliest priority, IPC, CPC, Publication date, Earliest publication, and Family number.
The file titled “Rare earth recover_Orbit” contains information related to Priority numbers, Application numbers, Publication numbers, Priority dates, Application dates, Publication dates, Title, Abstract, Current assignees, Claims.
The patent searches were carried out by keywords and classification codes. 
Both IPC (International Patent Classification) and CPC (Cooperative Patent Classification) codes were used. 

Value of the dataset: prior art searches, technological trends 

Definition of the classification codes used
Y02W 30/82: Recycling of waste of electrical or electronic equipment [WEEE] 
C22B 59/00: Obtaining rare earth metals
C01F 17/00: Compounds of rare earth metals
H01F 1/053: Magnets containing rare earth metals
H01F 1/15325: containing rare earth
Y02P 10/20: Recycling 
Y02W 30/50: Reuse, recycling, or recovery technologies
DOI: 10.6084/m9.figshare.22363012.v1
title: The dataset

description: Fracture Atlas is a musculoskeletal bone fracture dataset with annotations for deep learning tasks like classification, localization and segmentation. The dataset contains a total of 4,083 X-Ray images with annotation in COCO, VGG, YOLO and Pascal VOC format. By downloading the dataset users agree to the Data Usage Agreement (DUA) called PhysioNet Credentialed Health Data License 1.5.0.
DOI: 10.6084/m9.figshare.20795677.v1
title: Single molecule localisation microscopy image using Nse4-HaloTag budding yeast and JFX650 fluorophore

description: Single molecule localisation microscopy (SMLM) image dataset using Nse4-HaloTag budding yeast and JFX650 fluorophore. <br> Live <em>S. cerevisiae</em> cells expressing Nse4 fused to the self-labelling HaloTag (previously described in Hallett <em>et al</em> (2022), DOI: 10.1093/nar/gkac692) were grown in synthetic complete media until they reached mid-log phase. JFX650 HaloTag ligand (a gift from Luke Lavis, Janelia Research Campus, USA) was added to the culture to a final concentration of 50nM. Cells were incubated in the presence of the dye for 20 min before being harvested, washed in fresh media and deposited on an agarose pad (1% w/v agarose, 50% v/v OptiPrep, 50% v/v 2× SC-media). Samples were then mounted on a circular coverslip and imaged on a custom-built microscope (previously described in Etheridge <em>et al</em> (2021), DOI 10.7554/eLife.68579). Movies were recorded with an exposure time of 10 ms per frame and continuous illumination with a 642nm laser. JFX650 molecules were photo-converted back from a long-lived dark-state by illumination with a pulse of a 488 nm laser. The camera was a Photometrics Evolve Delta using: 45 counts/photon total gain; 0.3017 counts read noise; 400 counts offset. Optical magnification creates 101nm pixels. <br> Nse4 is a sub-unit of a DNA binding protein complex SMC5/6 known for its roles in DNA repair. The individual molecules observed in the image may be diffusing, or immobile when bound to the DNA. <br> The dataset includes: <br> BuddingYeast_Nse4-Halo_10ms.tif: SMLM image stack (10ms per frame) BuddingYeast_Nse4-Halo_Brightfield.tif: A brightfield image of the yeast cells BuddingYeast_Nse4-Halo_10ms_Fit_Template.txt: An example template for fitting the localisations using the Genome Damage and Stability Centre (GDSC) SMLM ImageJ plugin Peak Fit BuddingYeast_Nse4-Halo_10ms.tif.results.xls: An example results file containing the fitted localisations BuddingYeast_Nse4-Halo_10ms.tif.exported.csv: An example of the results exported in a custom comma-separated values (CSV) format (intensity in photons; distances in nm) <br> <br>
DOI: 10.6084/m9.figshare.26028658.v1
title: Genome assembly of <i>Sesbania cannabina</i>

description: The chromosome-level reference genomes of <i>Sesbania cannabina</i>, the genome size is 2.3Gb, contig N50 is 37 Mb, scaffold N50 is 173 Mb.
DOI: 10.6084/m9.figshare.27924069.v1
title: Sorce data.xlsx

description: The original data of the paper
DOI: 10.6084/m9.figshare.9784376.v1
title: China national CO2 emission inventory (reference approach), 2016-2017

description: The dataset provides China national CO2 emission inventory (reference approach) from 2016-2017.The emissions include CO2 from fossil fuel combustion and cement process.