cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9963212.v1
title: Ecological divergence and speciation in common bottlenose dolphins in the western South Atlantic (data set)

description: Final microsatellite and skull morphology data sets used in Costa <i>et al</i>. (2019): "Ecological Specialization has Led to Evolutionary Divergence in Common Bottlenose Dolphins in the Western South Atlantic". Published in Journal of Evolutionary Biology (Special Issue)
DOI: 10.17632/3g49sgnbtt
title: Crosstalk between pro-survival sphingolipid metabolism and complement signaling induces inflammasome-mediated tumor metastasis. Janneh et al.

description: Original, uncropped western blot image files.
DOI: 10.17632/mhjyrn35p4
title: Oral Images Dataset

description: The dataset includes color images of oral lesions captured using mobile cameras and intraoral cameras. These images can be used for identifying potential oral malignancies by image analysis. These images have been collected in consultation with doctors from different hospitals and colleges in Karnataka, India. This dataset contains two folders - original_data and augmented_data. The first folder contains images of 165 benign lesions and 158 malignant lesions. The second folder contains images created by augmenting the original images. The augmentation techniques used are flipping, rotation and resizing.
DOI: 10.17632/pg2fwhk8pr
title: Anatomy and Facies Analysis of Fluvial Complex, Western Flank of Anambra Basin, Southern Nigeria: Lessons from an Outcrop Analogue for Reservoir Development

description: 1. Dimension of sandstone units
2. Facies classification
3. Facies proportion
4. Field sketch
DOI: 10.17632/5rypwncyv7
title: Untargeted metabolomics data of Citrobacter rodentium induced colitis mouse model in response to krill oil or PBS supplement.

description: Raw spectral data of mouse colon contents generated by UPLC- MS (Thermo, Ultimate 3000LC, Q Exactive) in a negative ion mode.
DOI: 10.17632/6fz892d5sh
title: Student-teachers’ conceptualisations of culture and attitudes towards transcultural pedagogies and materials

description: Instruments, prompts, and qualitative data used in the project

Appendices A to E detail the instruments and materials used in this project.

Appendix A is the Questionnaire on Intercultural Activities in ELT materials.

Appendix B is the Open-ended Questionnaire on Cultural Conceptualisations.

Appendix C is the Focus Groups Questioning Route.

Appendix D is the Original Headway Textbook Sample, used in accordance with fair dealing laws.

The Author-developed Transcultural Materials (Appendix E) were developed through various suggestions in the scholarly literature on transcultural activities (e.g., Kiczkowiak, 2020; Kiczkowiak & Lowe, 2019; Matsuda, 2012; Rose & Galloway, 2019). The design of the sample was curated by an external collaborator. The photo was taken with the consent of the depicted individuals.

Also included are the materials which were used as prompts for the open-ended questionnaire (Q14 and Q15 Video Prompt) and for the focus groups (The Transcultural Introduction Video and the PowerPoint prompts).

The Q14 Video Prompt and Q15 Video Prompt used in the Open-Ended Questionnaire were scripted by the authors and shot using pictures in the public domain and voice acting provided by research collaborators. These videos contained stereotypical and essentialist cultural statements on which participants were required to comment.

The Focus Group Prompts PowerPoint was used to stimulate the discussion during the focus groups. The Transcultural Introduction Video was developed by the authors and voice acted by an external collaborator. The video was meant to expose the participants to Will Baker’s ICA model and to generate discussion around the ideas of transculturality and transcultural pedagogies.

Finally, the attachments include the project summary that was shared with the participants for the purpose of member validation and the Quirkos report containing the authors’ coding for the participants’ qualitative data on which the analysis was later developed.
DOI: 10.17632/7zshp2pmr2
title: Gambang Semarang

description: Gambang Semarang
DOI: 10.17632/r74r6rb4hs
title: First-year Planning Students' Perspectives on the Planning Profession

description: This dataset was generated from an online discussion forum on Padlet attended by first-year planning students in the Introduction to Urban and Regional Planning unit, Bachelor of Urban and Regional Planning Program, Department of Urban and Regional Planning, Institut Teknologi Sepuluh Nopember, Indonesia. The forum explored how adaptable the planning profession is under the COVID-19 pandemic. Forum participants were asked to answer three questions. First, participants were asked how planners support public health protocols. The second question was, what planning products must be revised to adapt to the "new normal" situation? Finally, forum participants were asked what planners could learn from the COVID-19 outbreak to anticipate future challenges.

The dataset consists of two spreadsheets containing textual data in Indonesian (Bahasa Indonesia) from two cohorts - classes of 2020 and 2021.
DOI: 10.17632/zjckp3b259
title: MS-Excel tool for MCDA methods

description: This work presents a novel MS-Excel tool that has 4 different MCDA methods and two case studies. Any case study can loaded and different MCDA methods can be applied. There is a summary sheet at the end that compares the outputs from the individual MCDA methods and provides overall ranking. Instructions to the users are provided on the cover sheet itself. Users can load which ever case study they want, even input data can be edited. Further, users can create their own problems with their own input data sets; and then use the tool to study the outputs.
DOI: 10.17632/9jwbg82wg7
title: Data on viral load suppression and associated factors among HIV Patients on antiretroviral treatment in Bulambuli District, Eastern Uganda

description: HIV viral load suppression (VLS) is the most important indicator of successful antiretroviral therapy. In 2016, Muyembe Health Centre IV (HCIV) in Eastern Uganda started monitoring HIV patients on ART using viral load tests in an effort to meet the third 90 of the UNAIDS 90-90-90 strategy which is VLS. The objective of this study was to ascertain progress in Bulambuli District towards achievement of VLS among HIV infected patients on ART and associated factors in order to guide the development of interventions to achieve this target. A retrospective cohort study design was used. This data provides results from 1101 medical records of HIV infected patients on ART who attended HIV clinic at Muyembe HCIV from June 2016 to April 2018. A data abstraction tool was used for data collection. The data can be summarized using descriptive statistics for categorical variables by computing proportions and means and standard deviation for continuous variables. The Chi Square test can be used to determine factors associated with VLS and logistic regression can be used to determine the magnitude by which the ART and clinical factors influence VLS. From the current study, of the patients (n=944, 85.7%) had viral load suppression at a CI of 95%. Adjusting for known confounders, only adherence to ART was a significant predictor of VLS. Individuals with fair adherence (80-95%) had 4.47 times the odds of VLS, CI=2.242-8.915, p-value of &lt;0.0001 compared to individuals with poor (&lt;80%) adherence, while those with good (&gt;95%) adherence had 11.92 times the odds of VLS, CI=29.359-111.013, p-value of &lt;0.0001 compared to individuals with poor adherence. Results therefore show that Bulambuli district is on track to attaining the third 90 of the UNAIDS 90, 90, 90 global targets by 2020 and adherence to ART is a significant predictor of VLS. This data can therefore be used to predict and simulate similar outcomes from other study settings while dealing with viral load suppression.
DOI: 10.17632/4z2mm3ncyh
title: Micro-CT tiffstack of the Cambrian arthropod fossil Ercaicunia multinodosa YKLP 16201 from Chengjiang biota

description: These are the original morphological data resulted from X-ray micro-computed tomographical analysis of a delicately preserved arthropod fossil (specimen number: YKLP 16201) from the early Cambrian Chengjiang biota. The related manuscript will be published in Current Biology. The specimen is housed in Yunnan Key Laboratory for Palaeobiology, Yunnan University, PRC.
DOI: 10.17632/c3c7329tjj
title: Theft detection in smart grid environment

description: The dataset contains energy consumption for 16 different types of consumers. The original data includes several energy consumption measurements for several customers for one year (12 months). Measurements are taken every hour.  

Six different types of frauds are added to the original dataset. They consist of different types of thefts that some consumers can cause. The first type of theft consists of a considerable reduction of electricity consumption during the day. This reduction is calculated by multiplying the consumption by the randomly chosen value between 0.1 and 0.8. In the second type of theft, electricity consumption drops to zero at random and during an arbitrary period. The third type of theft is similar to the first type, but each consumption value (each hour) is multiplied by a random number. A random fraction of the mean consumption is generated for the fourth type of theft. The fifth type reports the mean consumption, and the last type of theft (i.e., the sixth type) reverses the order of readings. We developed a theft generator that enabled us to generate these six types of theft as described previously randomly. 

The original data is collected from the Open Energy Data Initiative (OEDI) platform. It is a centralized repository of high-value energy research datasets aggregated from the U.S. Department of Energy’s Programs, Offices, and National Laboratories. 

To use this dataset please cite this article: 
Salah Zidi, Alaeddine Mihoub, Saeed Mian Qaisar, Moez Krichen, Qasem Abu Al-Haija, Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment, Journal of King Saud University - Computer and Information Sciences, 2022,  ISSN 1319-1578,
https://doi.org/10.1016/j.jksuci.2022.05.007.
(https://www.sciencedirect.com/science/article/pii/S1319157822001562)
DOI: 10.17632/gb6y2k7358
title: Data set on sEMG and FLEX sensors for finger movement detection or classification

description: The database contains the information about the sEMG signals acquired by the eight channels of the Myo Armband device and five Flex sensors located in each one of the hand fingers. There are 54 files in this database in .cvs format, one for each subject. The name of the files have the following format: person0X, where X is the number of the subject. Each subject has 14 columns, the first one represents the time in milliseconds (ms), from the second column to the ninth are the signals received from the Myo Armband, and from column tenth to fourteenth are the signals acquired with the Flex sensors. The 8 channels of the Myo Armband were digitized with a sampling frequency of 200 Hz.
DOI: 10.17632/h9tgc9bw79
title: Python script for exome analysis

description: Python script for exome analysis utilized for Zhang et al "The association of GNB5 with Alzheimer’s disease revealed by genomic analysis restricted to variants impacting gene function."
DOI: 10.6084/m9.figshare.28104713.v1
title: FariaetalJFOData.zip

description: Dataset of models used on Faria et al. Population estimates of shorebirds on the Atlantic Coast of southern South America generated from large-scale, simultaneous, volunteer-led surveys. Journal of Field Ornithology.
DOI: 10.6084/m9.figshare.13325744.v1
title: Pangenome genomes database for Anvio

description: This is the profiles database of our Anvi'o pangenome functional enrichment analysis. We checked for significantly enriched genes between different groupings of locations and hosts.
DOI: 10.17632/yk9dcmd94w
title: Dataset on Prevalence and Management Practices of Malaria- Typhoid Co-Infection in Unwana South East Nigeria

description: Malaria -typhoid co-infection is associated with poverty and underdevelopment with significant morbidity and mortality with similarities in clinical features of the two diseases that often result in misdiagnosis and mistreatment of the febrile patients. This dataset provides information on the prevalence, attitudes that constitute risk factors in the diagnosis and the management practices of malaria and malaria- typhoid co-infection in a medical facility of a higher institution in south east Nigeria. It comprises of the demographic, diagnostic and management data collected from June to November, 2020. Two hundred and thirty-six (236) febrile volunteers comprising 104 males and 132 females attending the medical Centre of Akanu Ibiam Federal polytechnic Unwana, Afkpo Ebonyi state Nigeria participated in this study. Data of laboratory diagnosis and responses to structured questionnaire with respect to diagnostic and management practices of malaria -typhoid co-infection are presented in Excel spreadsheets. Malaria parasite density was determined using thick blood film microscopy whereas the typhoid diagnosis was based on Widal test. These data are useful for assessing attitudes in diagnosis and management that may be responsible for increasing incidence to malaria-typhoid co-infection and can also serve as baseline data for researchers and Health policy formulators.
DOI: 10.17632/hwcj9mwhxb
title: Fluxes of particles and soluble elements in dry and wet deposition samples collected between September 2012 and April 2016 at Gran Canaria, Canary Islands.
DOI: 10.17632/k42rjx4m7n
title: JAAD Dermatology Images - Pityriasis Rubra Pilaris

description: Supplemental images for JAAD Dermatology Images - Pityriasis Rubra Pilaris
DOI: 10.17632/2pxd7nb54f
title: Inteligencia Artificial

description: Historia de la inteligencia artificial tomando en cuenta autores y evidencia.
DOI: 10.17632/9xyvy2njj3
title: Samsung INR21700 30T 3Ah Li-ion Battery Data

description: The included tests were performed at McMaster University in Hamilton, Ontario, Canada by Dr. Phillip Kollmeyer (phillip.kollmeyer@gmail.com). If this data is utilized for any purpose, it should be appropriately referenced. See the Readme file for more details. A new 3Ah Samsung 3.0T cell was tested in an 8 cu.ft. thermal chamber with a 75amp, 5 volt Digatron Firing Circuits Universal Battery Tester channel with a voltage and current accuracy of 0.1% of full scale. /*************************************************/ A series of tests were performed at six different temperatures, and the battery was charged after each test at 1C rate to 4.2V, 10mA cut off charge current, at battery temperature of 25degC The tests were performed as follows: 1. Four pulse discharge HPPC test (1, 2, 6, and 12C discharge and 0.5, 1, 2, and 4C charge, with reduced values at lower temperatures) performed at 100, 95, 90, 80, 70..., 20, 15, 10, 5, 2.5 % SOC. ("..._HPPC.mat") 2. C/20 Discharge and Charge test. ("..._C20DisCh.mat") 3.0.5C ("..._Dis_0p5C.mat"), 2C ("..._Dis_2C.mat"), and two 1C ("..._Cap_1C.mat") discharge tests. The first 1C discharge test is performed before the UDDS cycle, and the second is performed before the Mix3 cycle. 4.Series of four drive cycles performed, in following order: UDDS(..._UDDS.mat), HWFET(..._HWFET.mat), LA92 (..._LA92.mat), US06 (..._US06.mat). 5. A series of eight drive cycles (mix 1-8) (..._Mixed#.mat) consist of random mix of UDDS, HWFET, LA92, US06. The drive cycle power profile is calculated for a single Turnigy cell in a compact electric vehicle. 6. The previous tests are repeated for ambient temperatures of 40degC, 25degC, 10degC, 0degC, -10degC, and -20degC, in that order. For tests with ambient temperature below 10degC, a reduced regen current limit is set to prevent premature aging of the cells. The drive cycle power profiles are repeated until 95% of the 1C discharge capacity at the respective temperature has been discharged from the cell 7. A series of 16 charges (charge 1-16) (..._Charge##.mat) store the cell charging before and after every drive cycle starting with an inital top up before doing the Cap_1C test /*************************************************/ Matlab (.mat) file naming convention: The file names begin with the date the test started, and are followed by the time the test started and a descriptive name, such as in the following example: "11-07-19_10.49 557_Cap_1C_40degC_IN21700_30T.mat? Date: "11-07-19" (November 7th, 2019) Time: "10.49" (10:49 am) Descriptor: "40degC_IN21700_30T" The naming convention allows for sorting by date and test time when all the files are placed in one folder. This may be useful when trying to determine which charge is associated with which drive cycle, for example, or when looking at aging.
DOI: 10.17632/bxcpc274fh
title: The 51K SNP data of two tomato collections

description: The 162 and 191 tomato accessions were used as training population to assess prediction accuracy of genomic selection (GS). These accessions were genotyped using the 51K Axiom SNP array. The resulting SNP data were used for GS analysis.
DOI: 10.17632/h6rn7jb8b9
title: Link Between Volatility of Commodity Prices and Commodity Dependence on Selected Sub-Saharan Countries

description: The balanced annual panel data for 32 sub-Saharan countries from 2000 to 2020 was used for this study. The countries and period of study was informed by availability of data of interest. Specifically, 11 agricultural commodity dependent countries, 7 energy commodity dependent countries and 14 mineral and metal ore dependent countries were selected (Appendix 1). The annual data comprised of agricultural commodity prices, global oil prices (GOP) and mineral and metal ore prices, export value of the dependent commodity, total export value of the country, real GDP (RGDP) and terms of trade (TOT). The data for export value of the dependent commodity, total export value of the country, real GDP and terms of trade was sourced from world bank database (World Development Indicators). Data for agricultural commodity prices, global oil prices (GOP) and mineral and metal ore prices are obtained from World Bank commodity price data portal. This study used data from global commodity prices from the World Bank's commodity price data site since the error term (endogenous) is connected with each country's commodity export price index. The pricing information covered agricultural products, world oil, minerals, and metal ores. One benefit of adopting international commodity prices, according to Deaton and Miller (1995), is that they are frequently unaffected by national activities. The utilization of studies on global commodity prices is an example (Tahar et al., 2021). The commodity dependency index of country i at time i was computed as the as the ratio of export value of the dependent commodity to the total export value of the country. The commodity price volatility is estimated using standard deviation from monthly commodity price index to incorporate monthly price variation (Aghion et al., 2009). This approach addresses challenges of within the year volatility inherent in the annual data. In footstep of Arezki et al. (2014) and Mondal & Khanam (2018), standard deviation is used in this study as a proxy of commodity price volatility. The standard deviation is used because of its simplicity and it is not conditioned on the unit of measurement.
DOI: 10.17632/rwrtt92bv6
title: Influence of ESG ratings on WACC

description: Dataset for analyzing influence of ESG rating on WACC using financial indicators as control variables. Dataset contains data for 375 companies from developing countries. Financial metrics were download from Bloomberg, ESG ratings from Sustainalytics.
DOI: 10.17632/hvb2gxv2zx
title: If these walls could talk: investigating bottlenose dolphin occupancy and range in fiord ecosystems using passive acoustic monitoring and visual surveys

description: Data include daily acoustic detections in 6 fiords within the Fiordland (Te Moana o Atawhenua) Marine Area collected between February 2022 and November 2023.
DOI: 10.17632/wc9g6ttpxv
title: Neuroinflammation, Addiction, Hypercholesterolemia: Mindfulness and Multidimensional Addiction Behaviour Scale Insights

description: This article explores the complex interconnections between neuroinflammation, addiction, and hypercholesterolemia, highlighting how these conditions influence one another and impact overall health. It examines the role of mindfulness practices in mitigating the effects of neuroinflammation and addiction while also assessing the utility of the Multidimensional Addiction Behaviour Scale (MABS) in understanding these relationships. The findings suggest that neuroinflammation may exacerbate addictive behaviours, with hypercholesterolemia further complicating the neurobiological landscape. Integrating mindfulness interventions with MABS offers a promising approach to personalized treatment, emphasizing the importance of addressing both psychological and physiological aspects of addiction. Future research directions include longitudinal studies, investigation of biological mechanisms, and the effectiveness of mindfulness interventions across diverse populations.
DOI: 10.17632/78dcxkrrzd
title: Raw data-The fMRI correlates of visuo-spatial abilities: sex differences and gender dysphoria

description: other raw data of the research work are in Institute's repository, for more info please contact direzionescientifica.irccssdn@synlab.it
DOI: 10.17632/fgsv22r522
title: ¿Por qué no todos los sistemas de monitoreo continuo de glucosa (MCG) son iguales?

description: La FDA ha desarrollado una clasificación para los sistemas MCG que los divide en aquellos que requieren (complementarios) o no (no complementarios) del uso de tiras reactivas para la toma de decisiones seguras.
DOI: 10.17632/78rpvt7k4n
title: The Employee Engagement On The  Organizational Change  Study On Manufacturing Industry  In Indonesia 

description: The human capital today has many challenges related to employee engagement and organizational change. The best technique to attract, keep, and motivate people is the most effective business strategy since it is more difficult for rivals to imitate than financial management, marketing management, operations management, or production management. In our essay, uncover the influences employee engagement to organizational change. It is believed that the organizational change will suffer if this symptom is not addressed. We gathered 429 perspectives of the top managers of Indonesian manufacturing enterprises and used structural equation modeling to examine them (SEM). Our research results show that employee engagement are the determinant on organizational change. Our research contribution is not only as empirical evidence of the topic under study but also as information for stakeholders and company management in inventorying alternatives to improve organizational change by studying determining factors. Our findings show that improving the organizational change of the manufacturing industry in Indonesia is determined by employee engagement variables.
DOI: 10.17632/phjvpdzp57
title: Bustos et al Dev Cell 2020 Source Data

description: Original source data for Bustos et al Dev Cell 2020
DOI: 10.17632/znks6nsbdj
title: 10Be exposure age dating of moraine boulders and glacially polished bedrock surfaces in Karakoram and Ladakh Ranges, NW Himalaya

description: The dataset shows the exposure ages obtained from moraine boulders and glacially polished bedrock surfaces in Karakoram and Ladakh Ranges, NW Himalaya.