cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nyz4y58jbt
title: Dataset of Agar Biopolymer Films: mechanical properties

description: We study the tensile properties of biopolymer films made from the seaweed biopolymer agar. We test whether a process with low capital costs can result in materials that compare favorably to commercial plastics. Tensile properties are key to assessing the applicability of biopolymer films to a range of single-use packaging, such as lightweight plastic bags and plastic films. We identify formulations that compare favorably to commercially available plastics, demonstrating the potential to address standard product niches. The complete set of formulations and their associated properties can be used to understand the broad range of performance characteristics that can be obtained using one process. Formulations were developed using a Design of Experiments (DoE) approach, following a full factorial mixture design using the methodology 2k where k is the number of factors considered at 2 levels. A neural network was trained to model the relationship between the mechanical properties of test samples and their composition. Our aim was to demonstrate the importance of such methods for modeling the properties of bioplastics produced at local and regional scales where data may vary with heterogeneous sources of feedstock and local process conditions.

The process of fabrication consisted of adding agar to a mixture of glycerin and water and heating to a temperature of 90°C using a magnetic stirrer and heater. The mixture was then poured into silicone molds, where it dried over a period of approximately three days. 32 formulations were fabricated and tested, with varying concentrations of the ingredients agar, glycerin, and water. Tensile tests were performed on an INSTRON universal test machine. Mechanical properties analyzed were ultimate tensile strength, Young's modulus, and elongation at break. A uniaxial tensile test was used to evaluate the stress and the deformability of the material. An average of 5 specimens were tested for each formulation, and the resulting data was normalized and interpolated with deformation averaged to obtain the main curve.

The dataset contains the following: (1) the principle table with the formulation mixtures, calculated tensile properties, dimensions of each sample prepared for testing, and relevant process variables; (2) a diagram specifying the dimensions for the die used to cut each sample for tensile testing; (3) the abbreviated table used as input for the neural network including the sample formulations and tensile properties, and (4) the python script used for running our neural network model.
DOI: 10.6084/m9.figshare.1022845.v1
title: Languages for all languages for life

description: This research article traces the genesis of the 'Languages for All Languages for life' project of the UK Government. It discusses the rationale for the determined pursuit of the project and examines its wider implications on the development of the entire education system. The main purpose is to instigate an informed and continued dialogue between policy makers, educational practitioners, government and non-government reviewers and stakeholders so as to ensure its translation into policy and secure its immunity from future assaults arising from divergence of political ideologies, inclinations or affiliations.
DOI: 10.6084/m9.figshare.20375850.v15
title: Dataset Distinct impacts of feeding frequency and warming on life history traits affect population fitness in vertebrate ectotherms

description: This file contains the data and scripts used in the article "Distinct impacts of feeding frequency and warming on life history traits affect population fitness in vertebrate ectotherms".<br>Growth, fecundity and survival data are available in df_growth.csv, df_fecundity.csv and df_survival.csv. In these files, "age" is the age of the fish, "temp" is the rearing temperature (20 °C or 30 °C), "food" is the feeding modality (continuous conti or intermittent inter), "condition" is the combination of temperature and resource modalities, "length_mm" is the fish size, fecundity is the number of eggs and "event" is the survival modality (1 = dead, 0 = alive). The scripts 01_growth.R, 02_fecundity and 03_survival.R analyze the growth, fecundity and survival curves. The 01_growth.R script uses the model written in bayesian_model.txt.<br>Integral Projection Models are written in script 04_IPM.R which uses the data cfs_bayes.csv (bayesian model posterior distribution), df_reproduction.csv, df_survival_probabilities.csv (Kaplan Meier estimate) and df_size_newborn.csv (data from our laboratory on the size of the newborns). IPMs results are compiled in IPM_model_outputs.csv. The script 05_IPM_sensitivity.R is used to perform sensitivity analysis. The results of these analyses are compiled in IPM_model_sensitivity.csv.
DOI: 10.6084/m9.figshare.29097192.v1
title: Speech-language pathologists' vocabulary selection and implementation practices when working with early symbolic communicators who use augmentative and alternative communication

description: Vocabulary selection is a critical aspect of augmentative and alternative communication implementation, but there is no clear consensus on best practices in this area. Given that experience and training have been found to impact a range of practices within augmentative and alternative communication, this study aimed to understand the impact that experience and pre-service training in one country may have on vocabulary selection and implementation for early symbolic communicators who use augmentative and alternative communication through an online survey. One hundred seventy-six US speech-language pathologists with their certificate of clinical competence completed a survey exploring how they select and implement vocabulary training for early symbolic communicators. The majority of speech-language pathologists (<i>n</i> = 172; 98%) reported that vocabulary selection is important and that caregivers should be involved with vocabulary selection (<i>n</i> = 169; 97%). The majority of speech-language pathologists use Just-In-Time programming (<i>n</i> = 112; 64%), modelling (164; 95.4%), and core vocabulary approaches (<i>n</i> = 150; 85.7%). Speech-language pathologists with more years of experience reported training teachers on Just-In-Time programming significantly more than those with less experience. Speech-language pathologists train stakeholders (i.e. caregivers, teachers, other support staff) in implementation strategies they are most comfortable with and train others more consistently as they gain experience.
DOI: 10.6084/m9.figshare.760596.v1
title: Semantic Annotations of Selected EOL Text

description: The first column is the data object ID (In the EOL database). The second column is the term found from the ecological term dictionary that we created. The third column is the corresponding DBpedia URI annotation.
DOI: 10.6084/m9.figshare.8282951.v1
title: Iba1 & GAD67 8210 GP 1 LCIC panoramas

description: Iba1 & GAD67 8210 GP 1 LCIC panoramas 2019 paper
DOI: 10.17632/3t4mfvbjnh
title: Radicalism Survey

description: A. From January to November 2019, a survey was applied to 188 respondents using the combination of a self-assessment questionnaire, and in-depth interviews that done by the psychiatric. The data used in this study were collected under the SINERGISITAS program. 
Observed variables/parameters for evaluating the relationship between terrorism and the state is collected fprm B. following source  as follows:
1. Terrorism Act- Record on terrorism action in Indonesia from 1996–2018 (Indonesia National Counter Terrorism Agency [Badan Nasional Penanggulangan Terorisme] 2018)
2. Government - Government Effectiveness - Reflects perceptions of the quality of public services, the quality of the civil service and its degree of independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies (Kaufmann et al., 2011).
3. Corruption Perceptions Index - CPI score relates to perceptions of the degree of corruption, as seen by business people and country analysts, and ranges between 100 (highly clean) and 0 (highly corrupt) (International Transparancy, 2019)
4. Control of Corruption - Reflects perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests (Kaufmann et al., 2011).
5. Regulatory quality - Reflects perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development (Kaufmann et al., 2011).
Economic	Unemployment rate	Unemployment refers to the share of the labor force that is without work but available for and seeking employment (Bank World, 2019).
6. Inflation rate - Inflation as measured by the annual growth rate of the GDP implicit deflator showing the rate of price change in the economy as a whole (Bank World, 2019).
7. Poverty - Poverty headcount ratio among the population is measured based on national (i.e., country-specific) poverty lines (Bank World, 2019).
8. GDP - Gross domestic product (GDP) represents the sum of value added by all its producers (Bank World, 2019).
Political	Voice and accountability	Reflects perceptions of the extent to which a country's citizens are able to participate in selecting their government, as well as freedom of expression, freedom of association, and a free media (Kaufmann et al., 2011).
9. Political stability and absence of violence/terrorism - Measures perceptions of the likelihood of political instability and/or politically-motivated violence, including terrorism (Kaufmann et al., 2011).
10. Rule of law	- Reflects perceptions of the extent to which agents have confidence in and abide by the rules of society, and, in particular, the quality of contract enforcement, property rights, the police, and the courts, as well as the likelihood of crime and violence (Kaufmann et al., 2011).
DOI: 10.6084/m9.figshare.1496534.v2
title: Manipal Image Sentiment Analysis Dataset

description: This dataset has been created through a survey wherein 267 UG and PG students of Manipal Institute of Technology, participated and annotated 1000 images for its sentiment score on a scale of 7. Each image was presented to at least three annotators. After collecting all the annotations, we took the majority vote out of the three scores for each image; that is an image annotation is considered valid only when at least two of three annotators agree on the exact label (out of 7 labels). This dataset uses following sentiment label-map: 1-Depressed 2-Very Sad 3-Sad 4-Neutral 5-Happy 6-Very Happy 7-Excited
DOI: 10.6084/m9.figshare.8217191.v1
title: principal component analysis

description: principal component analysis
DOI: 10.17632/22b8vyxmnn
title: Switching Barrier SLR

description: Switching Barriers in the Modern Era: A Systematic Exploration of the Literature
In a highly competitive world, one-click digital marketplaces are critical to understanding why customers switch [1], [2]. Just as satisfied customers are not necessarily loyal, dissatisfied customers do not always leave. Changes and dynamics in the competitive world are triggered by factors such as the increasing globalization of the economy, the diversity of accounting teams in multinational management groups, and the trend towards harmonizing financial and management accounting. Changes in information technology and the Indus- trial Revolution 4.0 have brought enormous changes and impacts to the business and accounting fields [3], [4], [5], [6]. This research aims to identify, investigate and detail the latest developments related to Switching Barriers, the data for which was obtained from Scopus. The SLR method is used to evaluate, study, and interpret all available re-search on various phenomena related to specific variables in a research field [7]. According to Koutsothanassi Switching barriers include confidence, unique treatment benefits, switching costs, and availability and attentiveness to alternatives [8]. Meanwhile, the research results of Dwivedi, Hughes show that influencing factors include switching costs, product service, service value, pride in the brand, government policies, understanding product information, understanding consumer behaviour and needs, relationships between customers or consumers and business providers, and consumer loyalty. Strategies that can be implemented to overcome the impact of switching barriers are improving service quality, increasing understanding of consumer behaviour commitment, supporting policies, understanding consumer or customer needs, and increasing customer loyalty [9]
KEYWORDS
Switching; Barriers; Switching Barrier; systematic literature review
DOI: 10.6084/m9.figshare.12585671.v1
title: Raw data FRAP Activity of Extracts of Rosa Damascene Petals and Receptacles

description: Data Analysis Standard FRAP activity.<br>Data Analysis of FRAP Activity Based on Extracts of Rosa damascene<br>FRAP Activity of Extracts of Rosa damascene Petals and Receptacles (Average. Post Hoc,Tukey HSD Test)<br>
DOI: 10.6084/m9.figshare.27901710.v3
title: HRV data

description: To clarify the pattern in heart rate variability during the process of acclimatization and de-acclimatization at a sub-plateau of 1400 m in a healthy adult population and its impact on heart rate, arrhythmia, and sleep.
DOI: 10.6084/m9.figshare.23703804.v4
title: Skill training project

description: The aim of this project was to investigate whether the short-term acquisition of a new force-matching skill is mediated by alterations in the shared synaptic input to spinal motor neurons. For this purpose, we decomposed high-density surface electromyograms from a hand (first dorsal interosseous; FDI) and a leg (tibialis anterior; TA) muscle using this algorithm. We also conducted simulations of entire motor neuron pools to elucidate the neural mechanisms that could explain our results.
<br>
For further details, please refers to the <strong>READ ME</strong> file.
DOI: 10.17632/b7bx8b52nx
title: MMSE and FAB study 2021

description: MMSE and FAB study 2021
DOI: 10.6084/m9.figshare.11609301.v1
title: Models in science education: Student reactions when using an didactic analog concrete mechanical model object (OMMCAD).

description: Abstract In this manuscript we present the notion of didactic analog concrete mechanical model object (OMMCAD), a type of didactic model born of the fusion of the Bungeana epistemology of models (scientific models) with the didactics of sciences (didactic models), developed for teaching-learning purposes of the astronomical theme of the a) apparent movement of the Sun, b) of the different directions of the sun's rise throughout the year and c) the approximate duration of the "clear day" for any region of the Earth. Some results of our modeling work with 11 senior students are disclosed. We also present the insight of some science educators at the international level who work with modeling at school, that is, with practical actions to elaborate, make and explore models to represent reality; creative activities that propel a school science education. The results indicate strong evidence that OMMCAD can be used as supplemental material to the school textbook, contributing to overcoming one of the challenges for science education today: the insufficiencies of the textbook.
DOI: 10.6084/m9.figshare.17086643.v4
title: model_results_code_and_dataSupplementary data for R. Hewitt, M. Shadman and B. Bryan, "There’s no best model! Addressing limitations of land-use scenario modelling through multi-model ensembles."

description: Cellular automta land use modelling ensemble for the R environment, based on the SIMLANDER framework.This is the full dataset that is needed to run all of the models described in the paper (see title). Full descriptions in the README files in the accompanying dataset. <br>
DOI: 10.6084/m9.figshare.24147465.v1
title: DATASET

description: <b>Pregnant women's adherence to COVID-19 prevention practice</b>
DOI: 10.6084/m9.figshare.28636013.v1
title: GC-MS Surface Response Data for Instrument Optimization

description: The objective of this example case was to maximize peak height and minimize peak width of 11 iodinated standards analyzed using gas chromatography-mass spectrometry (GC-MS). Once the significant (or most significant) parameters have been determined in a prior screening experiment, another set of experiments must be designed in which a response surface objective experiment is performed to collect data for optimization. In this example case, surface response experiments were performed using a 3-level Box-Behnken design in which each statistically significant parameter (e.g. split ratio, carrier gas flow rate, oven temperature ramp rate, and capillary column film thickness) was assigned a “low”, “middle”, and “high” value. For these experiments, the three nonsignificant parameters, inlet temperature, injection volume, and auxiliary line temperature, were fixed at 200 °C, 2 μL, and 280 °C, respectively. The experiments were conducted in the same manner as described in the screening experiments section. The attached CSV files contain the Box-Behnken design (bbd.csv), the raw chromatographic data for the 25 distinct methods (Method #.csv), and the retention times (bb_rts.csv) for each iodinated standard.
DOI: 10.6084/m9.figshare.29118605.v1
title: Results of AI segmentations and cell files research Part.2

description: These figures are the graphical results of my Master 2 internship on automatic segmentation using SAM2(Segment Anything Model 2) an artificial intelligence. The red line represents the best cell line from which anatomical measurements were made.
DOI: 10.6084/m9.figshare.7235471.v4
title: HCL DGE Data

description: Single-cell analysis is a valuable tool to dissect cellular heterogeneity in complex systems. Yet, a systematic single-cell atlas has not been achieved for human beings. We used single-cell RNA sequencing to determine cell type composition of all major human organs and construct a basic scheme for the human cell landscape (HCL). We reveal a single-cell hierarchy for many tissues that has not been well characterized previously. We present a ‘‘single-cell HCL analysis’’ pipeline that accurately defines human cell types; and exemplify its utility in stem cell biology. Finally, we perform single-cell comparative analysis for human and mouse cell atlas to reveal the conserved genetic networks in the mammalian system.<b></b><br><b>File Extension Specification</b><b></b><b></b><br><b>HCL_Fig1_adata.h5ad</b>: Use scanpy.api.read_h5ad to load AnnData. This AnnData stores the data used for HCL Figure 1.<b></b><br><b>HCL_Fig1_cell_Info</b>: The information, which includes the cell names, samples, clusters, stages, batches, donors and cell types for cells of data used for HCL Figure 1.<br><b>cluster_markers_HCL&MCA1.1</b>: The cell type annotation and marker genes for 102 HCL clusters of Fig1 and 104 MCA1.1 clusters of SFig. <br><b><br></b><b>dge_raw_data.tar</b>: The raw digital expression matrix (dge) of more than 720,000 single cells sorted by tissues. The batch genes were not removed.<br><b>dge_rmbatch_data.tar</b>: The batch gene removed dge of more than 700,000 primary single cells sorted by tissues. Some tissues are not included due to relatively strong batch effects. This dataset can be used to make global tissue tSNE plot and do cross-tissue analysis.<br><b>annotation_rmbatch_data.tar</b>: The cell annotations, which include cluster ID, belonged tissues, age<b><i> (gestational age for fetal tissue)</i></b>, clusters and cell types for each rmbatch dge data.<br><b>annotation_cluster_info: <i>Modified</i></b> cell type annotation of each cluster in accord with ClusterID in annotation_rmbatch_data.zip<br><b>MCA1.1_adata.h5ad</b>: Use scanpy.api.read_h5ad to load AnnData. This AnnData stores the MCA1.1 data. <br><b>MCA1.1_cell_Info</b>: The information, which includes the cell names, samples, clusters, stages, batches, donors and ce;; types for cells of MCA1.1 data.<br><br>
DOI: 10.17632/4k4k3bt3st
title: Data of Vietnamese’s life during COVID-19

description: This research mentions Vietnamese’s life over the country, from the North to the Central and the South during COVID-19 pandemic through 590 volunteers from 15 to 76 years old, in multiple demographic profiles, answering our question. Data was collected by online questionnaire, purposefully on social networking platforms commonly used in Vietnam, Facebook and Zalo, taking place from June 15 to June 25, 2021 using the snowball techniques. SPSS software version 20.0 is used for descriptive statistics analysis, correlation test and reliability assessment of Likert scale; from there, helping to detect risks, typical daily living habits, special psychosocial status in the context of the COVID-19 pandemic and key solutions (at individual and national level) in response to the severe impacts of the pandemic. The data set can be a reference source for in-depth surveys on social life, building analytical models, forecasting the specific mood of society in crisis and implicating many important policy solutions so that countries with similar economic, cultural and social characteristics to Vietnam can learn, adapt and overcome the disaster caused by COVID-19.
DOI: 10.6084/m9.figshare.22691056.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.28229288.v4
title: Sample_toponym co-occurance

description: This is the sample data from the research paper titled <i>"Where is Huaqiangbei? Identifying the Evolutionary Vague Region of Urban Business District Using Toponym Co-occurrence on Web Pages with Multiple Time Series (2012–2020)."</i>
DOI: 10.6084/m9.figshare.28924508.v1
title: Varona et al 2025b TableS2

description: Abundances of viral genomes and genome fragments used for Varona et al 2025b
DOI: 10.17632/7ywttnry8x
title: Data and Code for: Beyond the Spike at Zero: Understanding Nominal Wage Rigidity through Empirical and Model-Based Approaches

description: The data and code contains the replication package for “Beyond the Spike at Zero: Understanding Nominal Wage Rigidity through Empirical and Model-Based Approaches,” by Yoon Joo Jo.
DOI: 10.25442/hku.12776072.v1
title: Full Counting Statistics of Phonon Thermal Transport for Disordered Systems

description: This dataset consists of the following parts: <br>(1) the Python code to generate research data used in the thesis, mainly the FCS-CPA algorithm to calculate the electron/phonon current cumulants in the quantum transport; (2) the Python code to generate the figures used in the thesis.<br>
DOI: 10.6084/m9.figshare.11926047.v1
title: List of Natural Products databases

description: List of Natural Products databases mentioned in scientific litterature since 2000
DOI: 10.6084/m9.figshare.16556718.v1
title: abgenbank_meta.tsv

description: Metadata from AbGenBank nanobodies