cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z3g26tphnv.2
title: MEFAR

description: The dataset was created specifically for analyzing mental fatigue based on physiological signals. It includes the following signals:

EEG (Electroencephalography): Measures the electrical activity of the brain.
BVP (Blood Volume Pulse): Captures changes in blood volume in peripheral blood vessels.
EDA (Electrodermal Activity): Tracks changes in the electrical conductance of the skin.
HR (Heart Rate): Records the number of heartbeats per minute.
TEMP (Temperature): Monitors the body temperature of the participants.
ACC (Acceleration): Measures the acceleration experienced by the participants.
The measurements were collected from 23 participants in both the morning and evening sessions. To evaluate the participants' mental fatigue levels, the Chalder Fatigue Scale was utilized. This scale assigns a score to each participant based on their responses, with a score of 12 or higher indicating a positive mental fatigue condition.

The dataset includes both raw and processed data. Raw data refers to the original recorded signals, while processed data typically involves signal preprocessing techniques such as filtering, artifact removal, and feature extraction.The processed data includes processed data based on different sampling frequencies (1 Hz, 32 Hz, and 64 Hz). These operations include downsampling, midsampling, and upsampling. The processed datasets are named MEFAR_DOWN, MEFAR_MID, and MEFAR_UP, corresponding to the processed data with downsampling, midsampling, and upsampling, respectively.This way, it was possible to analyze and compare data with different sampling frequencies.

The dataset has been used for training deep learning and transfer learning models, which suggests that it may be suitable for developing machine learning algorithms for mental fatigue detection based on physiological signals.

Additionally, demographic information about the participants is available in an Excel file called "general_info." It is important to ensure that the participants' anonymity and privacy are maintained in accordance with ethical guidelines.

By sharing this dataset, researchers interested in mental fatigue analysis can utilize it for further investigations, algorithm development, and validation.
DOI: 10.17632/t4fg833bf4.1
title: Rinophyma

description: Rinophyma
DOI: 10.17632/8cp2cp7km8.2
title: MATLAB source code for developing Ground Truth Dataset, Semantic Segmentation, and Evaluation for the Lumbar Spine MRI Dataset

description: This file contains the MATLAB source code for developing Ground Truth Dataset, Semantic Segmentation, and Evaluation for Lumbar Spine MRI Dataset. It has the file structure necessary for the execution of the code. Please download the MRI Dataset, and the Label Image Ground Truth Data for Lumbar Spine MRI Dataset separately and unzip them inside the same installation folder. Links to their repository are provided in the Related Links section below. Please refer to instruction.docx file included in the package on how to install and use this source code. You can download and read the research papers detailing our methodology on boundary delineation for lumbar spinal stenosis detection using the URLs provided in the Related Links at the end of this page. You can also check out other dataset related to this program from that section. We kindly request you to cite our papers when using our data or program in your research.
DOI: 10.17632/9869mdrnhj.2
title: The Proxy Advisory Industry: Influencing and Being Influenced

description: Replication code for paper, "The Proxy Advisory Industry: Influencing and Being Influenced"
DOI: 10.17632/9dz247gnyb.1
title: Perceptual Voice Qualities Database (PVQD)

description: This database was created through generous funding from The Voice Foundation's Advancing Scientific Voice Research Grant and contains voice samples which have been rated by experienced voice professionals (at least 3 different raters with a minimum of 3 years’ clinical experience) in order to provide educators with standardized materials to better train pre-service clinical voice professionals. It contains 296 audio files consisting of the sustained /a/ and /i/ vowels and the sentences from the Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V; Kempster, 2007). All recordings were made in a quiet clinical environment using a head-mounted condenser microphone at a 6-centimeter distance from the corner of the mouth and the Computerized Speech Lab (CSL) using 16-bit encryption and a sampling rate of 48k. Audio recordings have been edited as best as possible to remove all clinician instructions. However, please listen to and look at each file carefully just in case there was simultaneous clinician-client talk. Listeners rated approximately 50 files each and each file was rated twice for reliability measurement (for a total of approximately 100 ratings per rater). Raters used a computer to listen to the samples and rate voice quality via a web-based system that included custom-made electronic scales for the CAPE-V (Kempster, 2007) and the GRBAS (Hirano, 1981) using Qualtrics survey software. Listeners rated each file on a 100-point visual analogue scale (VAS) to mimic the paper-based CAPE-V protocol. Please note that severity markers (mild, moderate, severe) were not included on the 100-point VAS to avoid influencing the concurrent rating using the GRBAS scale. Raters were urged to rate the samples over several days to avoid fatigue. Further description of methods is located in the folders below. Questions about the database can be directed to Patrick R. Walden, Ph.D., CCC-SLP at waldenp@stjohns.edu. References: Kempster G. CAPE-V: Development and Future Direction. Perspect Voice Voice Dis. 2007;17(2):11-13. doi:10.1044/vvd17.2.11 Hirano M. Clinical Examination of Voice. Springer-Verlag; 1981.
DOI: 10.17632/spsv5h6hhg.2
title: Soil carbon stock changes following perennialization- A meta analysis

description: A meta-analysis on SOC stocks compared between annual and perennial crops within the same experiments by reviewing and synthesizing the existing available evidence about perennialization. The specific objectives of the study were to: (1) assess the performance of the perennial crops compared with annual crops (either as monoculture or crop rotation) in terms of SOC stock changes; (2) explore the temporal effect of perennialization on SOC stock difference compared with the effect of annual crops; (3) study the effects of abiotic factors (soil, climate, and plant properties) on the SOC stock changes.
DOI: 10.17632/5brzmnckzg.1
title: Machine learning research in Banking

description: The dataset includes bibliographic information of 743 publications of the topic of machine learning in banking in the Scopus database
DOI: 10.17632/hssswvmjwf.1
title: Road Traversing Knowledge

description: The Road Transverse Knowledge (RTK) dataset was specially designed to meet the emerging country infrastructure. It sums 701 densely annotated images of low-resolution quality (352x288), split into 561 and 140 samples for the training and the validation sets, respectively. The dataset presents 12 classes of road surfaces like asphalt, paved and unpaved; damages like potholes, water puddles, and cracks; and road signs like speed bumps, cat's eyes, and markings. 

The images were captured in good weather and daylight conditions in the country areas of Santa Catarina in Brazil.
DOI: 10.17632/b7x8khsm65.3
title: Bismuth based Metal Oxide Photoelectrode Materials for Photoelectrochemical Generation of Solar Fuels

description: S.F.U. Farhad, N.I. Tanvir, and M.R. Molla, "Bismuth based Metal Oxide Photoelectrode Materials for Photoelectrochemical Generation of Solar Fuels" (paper ID#P25) presented at International Solar Fuels Conference, 26-29 July 2021, United Kingdom organized by Royal Society Chemistry (RSC), UK.  URL Link: https://isf2021-rsc.ipostersessions.com/?s=BB-CA-2F-1D-FA-72-CC-9B-62-C1-A1-1B-89-87-46-D0

Abstract: 

Photoelectrochemical (PEC) devices employ sunlight illuminated semiconductors to split water into hydrogen (a clean solar fuel) and oxygen. To this end, bismuth-based semiconductors are an intriguing class of photoelectrode materials that can potentially enable large-scale solar hydrogen production via PEC water splitting. Due to their so-called defect tolerance as well as other favorable photophysical and photoelectrochemical features, bismuth vanadate (BiVO4) and copper bismuth oxide (CuBi2O4), respectively, are perhaps the most promising photoanode and photocathode materials for attaining high solar-to-hydrogen efficiency. In this effort, both BiVO4(BVO) and CuBi2O4 (CBO)  powders have been synthesized utilizing a facile solid-state reaction technique for subsequent sol-gel derived fabrication of photoelectrodes atop the transparent conducting substrates.  The structural, optical, and Raman studies suggest that phase pure monoclinic scheelite  BVO and tetragonal CBO could be grown from inorganic oxide powder as raw materials by adopting suitable processing conditions. The optical bandgap was measured in the range of ~2.38 – 2.58 eV for BVO and ~1.70 – 1.85 eV for CBO from the UV-VIS-NIR Diffuse reflection data. The BVO photoanode and CBO photocathode with variable structural and optical properties could be promising candidates for self-sustained PEC generation of solar fuels.
DOI: 10.17632/n3g2htz9hk.1
title: UMUKCA_Volcanic_Forcing_Data_Dhomse2020

description: These are volcanic aerosol forcing datasets in term of stratospheric aerosol optical depth, height resolved extinction, effective radii for Mt. Pinatubo, El Chichon and Agung eruptions simulated using UMUKCA model. Each eruption has low,mid and high SO2 emissions and data is created by averaging 3 member ensembles. File names are self explanatory (Please note that reference should be Dhomse et al., 2020, ACP) for e.g. Pin14Tg_ext_2Mz_mon.nc: are the ensemble mean zonal mean monthly mean extinction from a simulation with 14th SO2 injection for surface to 50 km. Pin14Tg_sad_2Mz_mon.nc: same as above but sulfate area density Pin14Tg_temp_2Mz_mon.nc: are same as above but temperature interpolated at 36 pressure levels as in ERA-interim Pin14Tg_saod_2Ms_mon.nc: same as above but stratospheric aerosol optical depth (sAOD). Basically these are extinctions integrated for all the levels above model tropopause. For details see https://www.atmos-chem-phys-discuss.net/acp-2020-344/
DOI: 10.17632/s76tjsb4gb.1
title: Production Complementarity and Information Transmission Across Industries

description: Replication package (codes and pseudo data) for “Production Complementarity and Information Transmission Across Industries”
DOI: 10.17632/fdfftr3tc2.1
title: Renewable Energy and Electricity Demand Time Series Dataset with Exogenous Variables at 5-minute Interval

description: The described database was created using data obtained from the California Independent System Operator (CAISO) and the National Renewable Energy Laboratory (NREL). All data was collected at five-minute intervals, and subsequently cleaned and modified to create a database comprising three time series: solar energy production, wind energy production, and electricity demand. The database contains 12 columns, including date, station (1: Winter, 2: Spring, 3: Summer, 4: Autumn), day of the week (0: Monday, ... , 6: Sunday), DHI (W/m2), DNI (W/m2), GHI (W/m2), wind speed (m/s), humidity (%), temperature (degrees), solar energy production (MW), wind energy production (MW), and electricity demand (MW).
DOI: 10.17632/3xp4r3xsr5.1
title: Blood pressure count data

description: The life data used is on one hundred and eighty-one (181) patients with high and low Blood Pressure diagnosis. The data
consists of visits to the doctor between the periods of July 2020 to July 2021 obtained at Ace-Medicare health facility, Ota, Ogun State, Nigeria. The variables include visit to doctor (Count
Response); while the predictor variables are: Age, Sex coded as (male=1, female=0), Hypertensive Follow-up
(HFollowp, F=1, N/F=0), Hypertensive Heart Disease (HHeartD, HHD=1, N/HHD=0), Poor Blood pressure control
(Poor.BPC, PBPC=1, N/PBPC=0) and Hypotension (Hypo=1, Hyper=0). For the period observed, a patient must have
been diagnosed with either high blood pressure or low blood pressure. If a patient’s condition is not suffering from
hypotension (Low BP), then it is a case of hypertension (High BP). Hypertensive Heart Disease, Poor BPC, HFollowup
were captured as cases associated with patients diagnosed for blood pressure
DOI: 10.17632/28jgtynrb4.2
title: Performance of 11C-FMZ versus 18F-FDG in PET

description: File name: 18F-database Description: 18F-FDG-PET outcomes in the articles included in this meta-analysis: absolute numbers of true positive, false positive, true negative and false negative. File name: 11C-database Description: 11C-FMZ-PET outcomes in the articles included in this meta-analysis: absolute numbers of true positive, false positive, true negative and false negative. File name: roc Description: Outcomes of 18F-FDG-PET, 11C-FMZ-PET and gold standard in localization of epileptogenic areas, “1” stands for positive, and “0” stands for negative.
DOI: 10.17632/rf6gw9nsp6
title: Amphibians of DPRK

description: This dataset contains the occurrence data of Amphibian species of DPRK (Democratic People's Republic of Korea) over east asia including species' scientific name, latitude, and longtitude.
DOI: 10.17632/rjnw46vbdw.1
title: Data for: The evolution of the Patagonian Ice Sheet from 35 ka to the Present Day (PATICE)

description: All data used in the PATICE database is available in the Supplementary Information, which comprise: • Full Excel tables of recalibrated published ages (including all data required to rerun the calculations). • ESRI Shapefiles of each dating technique and compiled geomorphology. • ESRI Shapefiles of outlines of ice extent and uncertainty in the ice margin. • ESRI Shapefile of ice flow and ice divide at the LLGM. • ESRI Shapefile of names of outlet lobes.
DOI: 10.17632/wggvryfhsk.1
title: 5 Point Likert Scale Primary Data for Drivers of Institutional pressure, Product Stewardship and the Adoption Propensity of Green ICT in Malaysia

description: The data have been collected from survey questionnaires based on a 5 point Likert scale and inserted into the SPSS software for screening. Later, these data have been analyzed through PLS software. The data are consisted of drivers of Institutional pressure such as Coercive pressure, Mimetic pressure and Normative pressure. The data also are consisted of the variables such as Product Stewardship and the Adoption Propensity of Green ICT (Information Communication Technology) in Malaysia. Result shows that out of three (3) drivers, only Normative Pressure is significant towards the Adoption Propensity of Green ICT in Malaysia. Product stewardship is also significant towards the Adoption Propensity of Green ICT in Malaysia. Thus, it gives the policy makers a distinct direction regarding the right factors to consider in order to have Green ICT industry in Malaysia.
DOI: 10.17632/3t3dk43bv9.1
title: Tile Damage Detection

description: Our dataset comprises 5080 images, categorized into three folders: "train," "valid," and "test." All of these images were captured by contributors in Portugal, showcasing damages on tiles that cover historical buildings in the country. This dataset was compiled in 2023 and is intended for the purpose of detecting damages, such as cracks, craters, tile lacunae, and glaze detachment, using the YOLOv7 model.
DOI: 10.17632/4xb57rrpbg.1
title: Apar Pokharel Bell palsy excel dataset

description: Bells palsy dataset
DOI: 10.15468/dl.fa98bm
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus heldreichii H.Christ",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 81 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009219-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4ytft6zgk7.1
title: Dealing with rational second order ordinary differential equations where both Darboux and Lie find it difficult: The S-function method

description: Here we present a new approach to search for first order invariants (first integrals) of rational second order ordinary differential equations. This method is an alternative to the Darbouxian and symmetry approaches. Our procedure can succeed in many cases where these two approaches fail. We also present here a Maple implementation of the theoretical results and methods, hereby introduced, in a computational package — InSyDE. The package is designed, apart from materializing the algorithms presented, to provide a set of tools to allow the user to analyse the intermediary steps of the process.
DOI: 10.17632/ty48ssrwty.1
title: Midjourney-generated image repository for bias detection

description: A collection of images created by Midjourney using various promtps to understand the AI's biases in character concept art.
DOI: 10.17632/t9vx4ddm5n.1
title: Replication Files for Does Exporting Improve Matching? Evidence from French Employer-Employee Data

description: The STATA do-files listed below allow the replication of all the tables and figures reported in the manuscript “Does Exporting Improve Matching? Evidence from French Employer-Employee Data”. The data used to obtain tables and figures have been acceded at CEPII via CASD secure remote access and are confidential. We are not allowed to disseminate these datasets.
DOI: 10.17632/55ynhhv7sp.1
title: Human approach trials on tagged rhino raw data

description: We ran a human approach experiment, where one researcher would walk towards the rhino from crosswind while another recorded the rhino’s behaviour. We recorded the number of oxpecker carried, the rhinos’ behaviour upon approach, and the distance of the researcher when the rhino either became vigilant or if undetected it became unsafe to get any closer. We predicted that oxpecker would improve rhino’s ability to detect humans and from further away. Our approach trial experiment found that rhinos without oxpeckers detected a human approaching only 23% of the time. Due to the bird’s alarm call, those with oxpeckers detected the approaching human in 100% of our trials and at an average distance of 61 meters- nearly four times further than when rhinos were alone. In fact, the more oxpecker the rhino carried, the greater the distance at which a human was detected. We also found that when rhino perceived the oxpecker alarm call, it nearly always re-oriented itself to face downwind—their sensory blind spot. Once a rhino checked its blind spot, it either ran upwind out of view, walked downwind to investigate, or maintained its position until the field team moved out of sight. This raw data set of human approach trials consists of 5 worksheets detailed below: 1. Human approach trials without oxpecker present: Data used to develop Figure 2A 2. Human approach trials with oxpecker present: Data used to develop Figure 2A 3. Oxpecker number versus rhino human detection distance: Data used to develop Figure 2B. 4. Rhino orientation with and without oxpeckers: Data used to develop Figure 2C. 5. Summary of rhino orientation analysis: See Figure 2C
DOI: 10.17632/hzzhnrtwxh.1
title: Caregiver's experience of Rehabilitation for children with cerebral palsy: A Qualitative Study

description: The aim of the study was to explore the caregiver's experience of rehabilitation for children with cerebral palsy. The hypothesis of the study was that caregivers had a major role in rehabilitation process and rehabilitation helps in improving the motor and social milestones of the child with cerebral palsy. It was a qualitative study in which in-depth face to face, semi structured interviews were taken from 11 caregivers of cerebral palsy from different rehabilitation centres. A questionnaire was deveoped by the prime reseacher in which questions regarding the rehabilitation experience, barriers and facilitators, social engagemnet were framed. The interview questions were based on a thorough review of literature. Participants who were caregiver of a child with cerebral palsy and who volunteered to participate in the study were included in this study. Participants who had communication problems were excluded. The interviews were audio recorded and were written in english & transcribed verbatim. The transcribed interviews were then entered into a QDA Miner Lite software for data analysis. The data analysis was done and various themes and sub themes were obtained from interview transcripts. Total 10 themes and 46 sub-themes were obtained. The themes were staff, overall experience, motor recovery, Barriers & facilitators in rehabilitation, cognitive and perceptual abilities, caregiver's burden, psychological effects, glimmer of hope, speech. The participants discussed their experiences with the interaction with the staff at rehabiltation centre. They told about the Motor recovery of the child which included Improvement in oromotor functions, improvement in motor milestones, improved activities of daily living, improved posture and prevention of secondary complications as a result of rehabilitation. These findings have an important role in clinical settings and rehabilitation of a child with cerebral palsy. The coded transcripts were also sent back to participants for member checking. On the basis of this study , it was concluded that caregivers had a major role in prognosis of the child.Also rehabilitation plays an important role in achieving the motor milestones in the children with cerebral palsy.
DOI: 10.17632/7hyptcbkkd.2
title: A Multichannel Continuous Clinical Electromyography Dataset from Neurosurgery

description: In this dataset, we present a six-channel EMG dataset obtained from five cranial nerves during the cerebellopontine angle tumor surgery from 11 patients using the technology of cIONM. It’s the first dataset to automatically recognize or forecast EMG patterns during cIONM. We also spent time labeling and classifying the data so that the real intraoperative EMG data are more generalizable and clinically meaningful compared to the previous guided, fixed-posture EMG data performed in the laboratory. This dataset can be used to develop and validate more deep-learning-based or machine-learning-based algorithms, models, or tools for monitoring neurological function related to surgery and to study the mechanisms and effects of nerve injury or repair during surgery. In addition, the dataset can provide useful information for medical practice to improve the safety and success of surgery.
DOI: 10.17632/wnvynxy6m9.1
title: Dataset: Population-Level Wearable Device Information

description: This dataset contains synthetic data representing a population's health metrics collected from wearable devices. It includes information such as age, weight, height, daily step counts, heart rates, and sleep durations over a 30-day period for a sample population of 10000 individuals. This dataset is suitable for analysis and modeling of health and fitness trends at a population level, as well as for developing and testing algorithms for wearable health data analytics.