cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12630335.v2
title: Mapping dataset of dissolved oxygen and carbonate system comparing seasonal subsurface deoxygenation and acidification in the Yellow Sea and northern East China Sea in 2017-2018

description: Seven field surveys were conducted on Chinese side of the Yellow Sea and the northern East China Sea during 2017‒2018 (Table S1), spanning a wet summer (July‒August 2018) and a dry winter (December 2017‒January 2018), as well as those transitional seasons of spring (March‒May 2018) and autumn (October‒November 2017 and October‒November 2018). Water samples were collected at two to seven different depths (including sea surface and the bottom water) using 10 or 12 Niskin bottles, which were mounted with Conductivity-Temperature-Depth/Pressure (CTD) recorders. The ancillary data of in situ temperature (after the International Temperature Scale of 1990) and salinity (after the Practical Salinity Scale of 1978) were obtained primarily using the calibrated CTD recorders (SBE-19 plus in our October‒November 2017 and May 2018 cruises, and SBE-911 plus during the other cruises, Sea Bird Co., USA). During the summertime estuarine survey conducted in July 2018, salinity values of discrete samples were also measured using a calibrated WTW’s TetrCon<sup>®</sup>925 probe.Sampling surveys were separately supported by the National Natural Science Foundation of China (via Ship-time Sharing projects during the Open Research Cruises conducted in the Bohai and Yellow Seas in 2017 and 2018, and in the Changjiang Estuary in 2018), the Yellow Sea Fisheries Research Institute of Chinese Academy of Fishery Sciences, and the First Institute of Oceanography, Ministry of Natural Resources, China.<br>
DOI: 10.6084/m9.figshare.14724312.v1
title: The untrained wavelength speckle patterns at 1530 nm and 1560 nm

description: The untrained wavelength speckle patterns at 1530 nm and 1560 nm for transfer learning test.
DOI: 10.17632/9fbtcmspkd
title: Spatiotemporal trends in adequacy of dietary nutrient production and food sources - Supplementary Data

description: These are three main datasets that we calculated and refer to in our paper entitled 'Spatiotemporal trends in adequacy of dietary nutrient production and food sources' accessed through https://doi.org/10.1016/j.gfs.2020.100355 Datasets consist of : i) Median nutrient production by item and country-year ii) Total nutrient production by country-year and three main settings iii) Population-level Recommended Nutrient Intake estimates by country-year
DOI: 10.17632/bg45fjkz2t
title: RPAF

description: Contains the RPAF source files for QUANTUM ESPRESSO, pseudopotentials, and an example file.
DOI: 10.6084/m9.figshare.27860436.v1
title: raw data.xlsx

description: <b>Associations Between Smoking, Disease, and </b><b><i>Porphyromonas gingivalis</i></b><b> </b><b><i>fimA</i></b><b> </b><b>Genotype Distribution</b>
DOI: 10.17632/4dxm7tvmc9
title: Data instances of the heterogeneous fleet electric home health care routing and scheduling problem with synchronized demand

description: We used both synthetic data based on the literature and real-world data to generate our benchmark instances. In all instances, nurse working hours start at 8 a.m. and finish at 5 p.m. The fixed cost of a nurse is calculated between 400 and 600 based on the daily salary of a nurse according to Medisozluk (2020), and her/his competency levels. There are two competency types and there are 3 levels for each. Patient locations are generated based on the ”Address Based Population Registration System” database of TUIK (2020), which provides the population data for each province, district, and neighborhood of the city of Ankara province. Two different location selection methods are used to determine the patient locations: (1) random selection, rs in short, and (2) weighted random selection, wrs in short. In rs, patient locations are chosen randomly from the neighborhoods of Ankara. In wrs, patient locations are chosen randomly from the neighborhoods of Ankara based on their populations. The depot location of each vehicle is set as a random one of the public hospitals. Finally, the exact locations of the charging stations are determined by use of Google Maps API (ZES, 2020).The distance matrix is generated based on the Haversine formula (Movable Type Scripts, 2020).The EV fleet has three types of EVs (types a, b, and c) that differ in capacity and energy consumption. Consumption rates of EV type a, b, and c are 0.158, 0.158, and 0.165, respectively. Battery capacities of EV type a, b, and c are 26.8, 32.3, and 52, respectively. The EV speed to be used for travel times is determined as 55 km/h based on the study by (Gupta et al., 2017). In order to serve as many jobs as possible, the cost of not serving a patient job is set to 800.
We generated small-, medium- and large-size instances. Small-size instances have 10 jobs, medium- size instances have 20 or 30 jobs, and large-size instances have 40, 50, or 60 jobs. There are 10 instances generated with rs method and 10 instances generated with wrs method for each job set size, up to 30 jobs. The following naming convention is used for the small- and medium-size instances, where “j” refers to the number of jobs, “n” to the number of nurses, “cs” to the number of charging stations, “s” to the number of competency types, “w” to wide time windows for jobs, “t” to narrow time windows for jobs, “sy” to the number of synchronized jobs, “R” to rs method, and “W” to wrs method.In order to analyze the effect of the problem parameters, large-size instances are divided into seven groups as G1, ..., G7.The groups differ in the location selection method (rs or wrs), charger type (super-fast or fast), the existence of competency requirement (1, corresponding to the case where there is one competency type with 3 levels, or 0, corresponding to the case where all jobs require the same competency), the percentage of synchronized jobs among all jobs (0% or 10 %), and job duration (random in [20, 60] or random in [10, 90] minutes)
DOI: 10.6084/m9.figshare.12271733.v1
title: The Khorshid COVID Cohort (KCC) study

description: This is a representative sample of COVID-19 patients in the following paper:<br>A one-year hospital-based prospective COVID-19 open-cohort in the Eastern Mediterranean Region: The Khorshid COVID Cohort (KCC) study<br>Published in PLOS One:<br>https://www.doi.org/10.1371/journal.pone.0241537<br><br><br>In addition to the demographic variables, Occupation, Number of family who infected, Symptom duration, Smoking status, Travel history to the high-risk regions, Quarantine before admission, comorbidities such as Hypertension, Ischemic heart disease, Diabetes, Immunological problems, Acute kidney disease, COPD, Cancer, and Signs and symptoms, including Sneeze, Runny nose, Fever, Fatigue, Dry cough, Headache, Shortness of Breath, Diarrhea, Nausea, Sore throat, Vomiting, Abdominal pain, Vital symptoms including Pulse Rate, Respiratory Rate, SpO2,Systolic blood pressure, Diastolic blood pressure, and finally laboratory findings such as PCR results, White blood cell count, Neutrophil count, Lymphocyte count, Platelet count, Hemoglobin, LDH, AST, ALT, ALP, Na, Ca, P, Mg, BUN and Cr were provided for 60 COVID-19 patients.<br>Moreover, primary composite endpoints [PCEP], defined as death, the use of mechanical ventilation, or admission to an intensive care were shown for each subject (50: PCEP negative and 10: PCEP positive]).<br>The Ethical code: IR.MUI.MED.REC.1399.029.<br>Please cite the following paper, if the sample COVID-19 dataset is used in the study:<br>https://www.doi.org/10.1371/journal.pone.0241537<br>"A one-year hospital-based prospective COVID-19 open-cohort in the Eastern Mediterranean region: The Khorshid COVID Cohort (KCC) study" <br><br>
DOI: 10.17632/h9kznbnbvy
title: Project 5 - Technology for Mental Illness (UX Journey with Generative AI)

description: A UX journey case study involves a comprehensive analysis of the user experience for a specific product or service. The case study would likely include a description of the problem or opportunity that the product/service is intended to address, the target user group, and the context in which the product/service is used.

The case study would also include a detailed description of the design process, including user research, prototyping, testing, and iteration. This would involve identifying user needs and preferences, creating wireframes and mockups, and conducting user testing to refine the design. 

This data is a dataset from a pilot experiment to analyze the productivity of novice developers. In Project 5 with the topic Technology for Mental Illness, developers are asked to do an analysis using UX Journey and AI Generative. The structure of this data set consists of:
1. Original file: Initial analysis file from novice developer.
2. Revision 1: The result of the first improvement of several substantial notes.
3. Revision 2: The result of the second improvement from several substantial notes.
4. Revision 3: The result of the third improvement from several substantial notes.
5. Evaluation Rubric: Tests conducted by novice developers, through self-reviews, peer reviews, and walkthrough evaluations.
6. Self Efficacy: Results of the General Self Efficacy Scale questionnaire
7. Time and User Stories: Recap the time the respondents need to work on and the results of the user stories collected.
DOI: 10.17632/w6hwvkc7b7
title: Data for: Compared to Facebook, Instagram Use Causes More Appearance Comparison and Greater Body Dissatisfaction in College Women

description: Data set for an experiment comparing the impact of seven minutes of Instagram, seven minutes of Facebook use, and seven minutes of playing Bejeweled (control). Participants were U.S. undergraduate college women.
DOI: 10.17632/dc5r4jhbd3
title: A Dataset for Vegetable Identification

description: #Description:
This dataset is a curated collection of 4,800 images representing six commonly found vegetable species, designed to enhance machine learning and computer vision in vegetable detection, classification, and recognition. Collected to capture a variety of environmental settings, this dataset supports research in botany, agriculture, ecology, and AI.

#Dataset Content:
 4,800 images across six vegetable species:
 Eggplant: 800 images
 Beans: 800 images
 Ladies Finger: 800 images
 Pointed Gourd: 800 images
 Potato: 800 images
 Onion: 800 images

#Purpose:
Aid in creating machine learning models for vegetable recognition and classification
Support biodiversity studies and educational efforts related to plant species
DOI: 10.17632/fhcnzn3z96
title: Boundaries of the amplituhedron with amplituhedronBoundaries

description: Positive geometries provide a modern approach for computing scattering amplitudes in a variety of physical models. In order to facilitate the exploration of these new geometric methods, we introduce a Mathematica package called “amplituhedronBoundaries” for calculating the boundary structures of three positive geometries: the amplituhedron, the momentum amplituhedron and the hypersimplex. The first two geometries are relevant for scattering amplitudes in planar N = 4 supersymmetric Yang–Mills theory, while the last one is a well-studied polytope appearing in many contexts in mathematics, and is closely related to the m = 2 momentum amplituhedron. The package includes an array of useful tools for the study of these positive geometries, including their boundary stratifications, drawing their boundary posets, and additional tools for manipulating combinatorial structures useful for positive Grassmannians.
DOI: 10.6084/m9.figshare.8206880.v4
title: Fast Unit Commitment Based on Representative Scheduling Point Selection

description: Generator data， system data，load data
DOI: 10.15468/dl.bf6wx2
title: Occurrence Download

description: A dataset containing 2081708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2023-2025"
 ]
}

 The dataset includes 2081708 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012950-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/79f2wmdpmr
title: Vineyard Leaf Scab (Eriophyes Vitis Pagst.) Damage

description: This dataset consists of images of leaf damage caused by the Vineyard Leaf Scab (Eriophyes Vitis Pagst.) pest, which causes damage in vineyard areas.
DOI: 10.17632/b54z6nvy7t
title: hAT transposase alignment

description: Sequence alignment of transposases from 45 members of the hAT superfamily, including 30 inactive TEs and 18 active TEs.
DOI: 10.17632/kmh5mr4dvp
title: Dataset of joint gravimetric and magnetic forward 2D modelling of the Mauléon basin (Pyrenees)

description: The dataset includes the original gmsys files from Oasis Montaj software files of 8 joint gravimetric and magnetic forward 2D modelling along two orthogonal geological transects through the upper lithospheric structures of the Mauléon basin. The dataset also contains the complete Bouguer anomaly, RTP anomaly and elevation grids used for the modelling.
DOI: 10.17632/b8bn8rxtn3
title: Data for: Anoxic biogas biodesulfurization promoting elemental sulfur production in a Continuous Stirred Tank Bioreactor

description: This dataset supports the article "González-Cortés, J. J., Torres-Herrera, S., Almenglo, F., Ramírez, M., & Cantero, D. (2021). Anoxic biogas biodesulfurization promoting elemental sulfur production in a Continuous Stirred Tank Bioreactor. Journal of Hazardous Materials, 401, 123785."
DOI: 10.17632/gnrjccdzgs
title: Replication data and instructions for Environmental and land defenders: Global patterns and determinants of repression

description: The files contain the replication data and replication instructions (as STATA do-file) that replicate the multivariate regression results presented in the article: Le Billon, Philippe and Päivi Lujala 2020. Environmental and land defenders: Global patterns and determinants of repression. Global Environmental Change. DOI: https://doi.org/10.1016/j.gloenvcha.2020.102163
DOI: 10.17632/zh2vfnnpnr
title: Effect of physical therapy on sleep patterns with chronic low back pain

description: The study aims to provide evidence of the potential benefits of physical therapy for individuals with chronic low back pain who also suffer from sleep disturbances. It may reduce discomfort, improve physical performance, and enhance the quality of sleep. Additional research with larger sample sizes and longer follow-up periods may be required to assess the long-term effects of physical therapy interventions on sleep patterns in this population.
DOI: 10.6084/m9.figshare.22039778.v1
title: Supplementary Material for: An Eye Tracking Investigation of Young People’s Gaze Behaviour to Gambling and Non-Gambling Moving Adverts

description: <b><i>Introduction:</i></b> Data from several areas of public health (e.g., harmful alcohol and tobacco) are consistent with the assertion that children’s exposure to advertising strategies increases intention to consume such products. Most studies have measured self-rated impact of gambling advertising using questionnaires. Given that gambling advertisements come in different forms such as print media/television advertising and contain variable content, it is difficult to understand using subjective measures which aspects of the gambling advertisements increase craving and desire to trigger a gambling session. In the present study, we applied a novel data-driven methodology that directly tracks eye movements to reveal attentional biases towards gambling adverts and promotions by examining differences in young people’s eye gaze behaviour when watching gambling and non-gambling (control) moving adverts. <b><i>Method:</i></b> A total of 98 (16–18 years old) children who self-identify as having a low or high craving to gambling watched gambling and non-gambling (control) television adverts, while their eye movements were recorded. <b><i>Results:</i></b> The results show that the data-driven method can isolate video clips that best distinguish people on the low-high craving spectrum, reveal the type of each video clip with the largest group differences, and accurately predict young people’s gambling craving on the basis of eye movement patterns. <b><i>Conclusion:</i></b> Our findings demonstrate that young people’s craving for gambling can be predicted based on their eye movements to video clips of gambling advertisements and that certain features of gambling advertisements may be more appealing to some group of viewers, particularly those with high craving for gambling.
DOI: 10.17632/j856y9zxdy
title: Repair of nCas9-induced replication-dependent double-strand breaks

description: Data included below is related to the manuscript, "Repair of replication dependent double-strand breaks differs between the leading and lagging strands." 

Original images of Southern and western blots included in the publication are labeled with the corresponding figure numbers. A PowerPoint file is also included which indicates the cropped region used for the figures included in the manuscript. 

Primary outputs of the screen analysis used to generate figures are included in the folder labeled, "Results from the genome-wide screen." The "Combined Screen analysis" sheet includes data used to produce the Volcano plots in Figure 5 (mean_dif, and p columns). This sheet can be used to see growth differences after induction of nCas9 for all non-essential genes in the deletion library. The "Mean_growth_diff_by_trial" sheet includes the data used to produce the plots in Figure S5. For each strand_id (gene) and query_id (gRNA), the mean growth difference from both repeats of the screen are used to make the scatter plot displayed in Figure S5. For code and analysis details, see https://github.com/RobertJDReid/CAS9_nickase_screen_volcano.
DOI: 10.17632/jk26n6tvpx
title: Dataset: Comparison of multi-criteria decision methods for customer-centered decision making

description: Dataset from Comparison of multi-criteria decision methods for customer-centered decision making
DOI: 10.6084/m9.figshare.19620564.v1
title: Population Genetics and Phylogeography of Galapagos Fur Seals Study Dataset

description: The Microsatellite data of the study is in GENEPOP format. Partial D-loop sequence alignment is in MEGA format.
DOI: 10.17632/543xpjycj9
title: Electromyographic data recordings during isometric contractions of the biceps brachii and deltoid collected from patients and healthy subjects.

description: Electromyography (EMG) is a valuable tool for exploring both the nervous and muscular system. Two forms of pathologies called myopathy and neuropathy can affect the neuromuscular system. Myopathy refers to muscle conditions where muscle fibers show dysfunction while neuropathy is a neurological disorder related to the degeneration of nerves, resulting in muscle weakness, cramps, stiffness, muscle wasting, etc. Therefore, needle electromyography, known as intramuscular EMG (iEMG), is mainly used in clinical practice to diagnose patients with neuromuscular disorders. The dataset presented in this article contains three classes of raw invasive EMG signals, recorded from two nature of muscles, biceps brachii and deltoid, this data was collected from 241 participants, in hospital environment, spanning various ages and genders, 191 patients afflicted with either neuropathy or myopathy disease and 50 healthy subjects during isometric contraction. Furthermore, a Matlab code is provided to facilitate the reading of EMG files, carry out resampling and filtering procedures, and eliminate the 50 Hz noise component.
This dataset aimed to compare healthy and non-healthy subjects. Therefore, it can be useful as a reference to build an artiﬁcial intelligence model or validate a machine learning models created with different datasets, for the early detection of neuromuscular pathologies. 
Experimental dataset is considered of raw invasive EMG signals, this dataset were collected from October 2015 to April 2019 at the Neurology Department of Mustapha Pacha University Hospital of Algiers. These signals were collected with collaboration and support of specialist clinicians throughout the process and in partnership with the Spoken Communication and Signal Processing Laboratory and Instrumentation Laboratory of the Faculty of Electronics and Informatics of Houari Boumediene University of Sciences and Technology.
This EMG dataset covers a large population of healthy people in very good shape and sick subjects of various ages, genders, and neuromuscular pathologies like myopathy (i.e., myotonia and polymyositis) and neuropathy (i.e., anterior horn and multiple sclerosis and radicular damage), showing different severity level of disease
DOI: 10.17632/72bsdzm2c4
title: Renewable energy incident detection using deep learning and natural language processing
DOI: 10.17632/c66jczxfjc
title: ySKILLS three-wave survey

description: This dataset provides longitudinal survey data from an European project ySKILLS centered on the role of digital skills in youth's development. It contains survey data from 10,821 children from grades 6-10 (in Wave 1) in six European countries: Estonia, Finland, Germany, Italy, Poland, and Portugal. The data have been collected in three waves between Spring 2021 and Spring 2023, the children were recruited through schools where the data collection also took place. An exception were online data collections due to restrictions caused by COVID-19. The dataset is novel in its multidimensional approach to the construct of digital skills and digital literacy. It provides insight into the development of digital skills in youth and the role of digital skills in youth’s positive and negative online experiences and wellbeing. It also contains data allowing analysis of the role of digital skills in class networks. The data are beneficial for researchers interested in examination of youth’s online skills, online experiences, and wellbeing from a longitudinal perspective.
DOI: 10.17632/w33f8k6dkv
title: Structures and transport properties of Mg2SiO4-H2O system under high temperature and pressure: Insights for supercritical fluids in deep subduction zones (R1)

description: Viscosities (η), self-diffusion coefficients (D) and relative population of Si-O coordination numbers (CN) in the Mg2SiO4–H2O systems.
DOI: 10.6084/m9.figshare.20163752.v1
title: Proteins list

description: The list of proteins selected after each analysis/cut-off
DOI: 10.6084/m9.figshare.24205146.v1
title: 缺血性脑卒中的预后因素

description: 众所周知，血栓切除术可以显着改善缺血性中风患者的预后。然而，血栓切除术后可能会出现脑出血、血管再闭塞和脑水肿等并发症，有限的治疗时间窗口挑战了治疗效果。因此，必须找到简单、方便、有效的临床指标，能够预测AIS的预后，指导临床决策，提高治疗效果。因此，必须找到简单、方便、有效的临床指标，能够预测AIS的预后，指导临床决策，提高治疗效果。
DOI: 10.6084/m9.figshare.21312114.v2
title: Aerodynamic Analysis of several types of rocket nosecones.docx

description: Enclosing step file for creating various designs for nose cones along with data in excel sheet. The STEP file format is a standard 3D model format that makes it easy to transfer 3D models between different users and different computer-aided design (CAD) and computer-aided manufacturing (CAM) programs. Select the <strong>upload</strong> command in the <strong>Data panel</strong> choose the file and <strong>select open</strong>, after this you will be able to see selected file on the dialogue box and select <strong>upload file</strong>, your step file will now be converted to Fusion 360 file.
DOI: 10.6084/m9.figshare.23154326.v1
title: Transcripts

description: This study explored the utilisation of traditional medicine among patients living with breast cancer.
DOI: 10.6084/m9.figshare.27013879.v1
title: <b>Shielding effect of brown organic coating on black carbon aerosols</b>

description: The data for Figure 1-3<br>