cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yj52xrfgtz.1
title: Chronic Neuropathic Pain EEG Raw data in EC (5 min) and EO (5 min)

description: Thirty six chronic neuropathic pain patients (8 men and 28 women) of Mexican nationality with a mean age of 44±13.98 were recruited for EEG signal recording in eyes open and eyes closed condition. Each condition was recorded for 5 min, with a total recording session time of 10 min. An ID number was given to each patient after singing up for the study, with which they answered the Pain Detect questionnaire. All patients had: (1) age above 18 years old, (2) chronic NP for more than 3 months, (3) long-term pharmacological treatment for at least 4 weeks prior to the EEG recording, (4) absence of a major psychiatric disorder (i.e., schizophrenia, major depressive disorder, bipolar disorder), (5) absence of a neurological disorder (i.e., epilepsy, tinnitus), and (6) Total Score &gt;12 points of Pain Detect Questionnaire (the questionnaire outcome was confirmed by the clinical history of the patient). Patients were allowed to continue with their medication. The type and frequency of the pharmacological treatment was the following. Eighteen patients (n=18) were taking centrally acting drugs for over a year, twelve patients (n=12) were not taking medication, two patients (n=2) were on cannabidiol derivatives, and three (n=3) took nonsteroidal anti-inflammatory drugs for pain attacks. The causes for NP in the studied sample were spinal cord injury (31%), peripheral neuropathy (23%), diabetes (17%), trigeminal neuralgia (9%), CNS disorder (6%), and other (14%). None of these patients had any type of acute or chronic pain other than NP (e.g., arthritis, migraine, fibromyalgia), a severe mental disorder, neurological disorder (beside NP), head trauma, cerebral infarct, or CNS tumor. This study was approved by the Ethics Committee of CEIC TecSalud with the following number: P000369-DN-RespElectro-CI-CR005. Description and objective: Chronic neuropathic pain is defined as “pain arising as a direct consequence of a lesion or disease affecting the somatosensory system" according to the International Association for the Study of Pain. When neuropathic pain becomes chronic (has a duration greater than 3 months), the neurons in the spinal cord and the brain respond with neuroplastic changes. Currently, there is a significant gap in chronic neuropathic pain research and clinical management, because characterization relies only on the subjective perception of the patient. To address the characterization gap, the principal objective of this study was to characterize the neuroplastic changes in neuronal oscillations for the different degrees of neuropathic pain severity using linear and non linear dynamics. This could be a method to achieve an objective characterization and monitoring of neuropathic pain patients, and ultimately lead to a better management of their disease.
DOI: 10.17632/jr349zxzcg.3
title: Privacy Assessment in Android Apps: A Systematic Mapping Study

description: This repo contains the data used in a systematic mapping study on techniques for assessing privacy in Andorid Apps. Please read the associated paper for a full understanding of this data.
DOI: 10.17632/krsjvfvbsk.1
title: Smart_irrigation_project_dataset

description: This is the data set for the smart irrigation system
DOI: 10.17632/gzv2rw3wv6.2
title: Wound Care Dressings for Pyoderma Gangrenosum: a Systematic Review, Supplemental Figure 1

description: Diagram depicting systematic review methodology. Literature search was conducted using PubMed, Embase, Cochrane Library, Cumulative Index of Nursing and Allied Health Literature (CINAHL), and ClinicalTrials.gov databases from their inception to May 2020.
DOI: 10.17632/3x7yjzrmfn.2
title: Supplementary Material - Nail Psoriasis and Nail Lichen Planus: Updates on Diagnosis & Management

description: Supplementary files for the Journal of the American Academy of Dermatology (JAAD) submission - Nail Psoriasis and Nail Lichen Planus: Updates on Diagnosis & Management
DOI: 10.17632/96mtmrvc77.1
title: A Novel Intelligent Approach Proposing Optimal Fuel Mixtures for Biodiesel Production from Recycling Animal Fat

description: The current datasets provide information about the fuel experimental results at Laboratory Environmental Technology of the University of Western Macedonia (LETWM).
Tables 1 and 2 concern the ingredients that produced the new fuel mixtures while Tables 3.1 and 3.2 contain data of the new biodiesel mixtures. The new fuels were obtained after computer simulation experiments under the implementation of the proposed Genetic Algorithm (“A Novel Intelligent Approach Proposing Optimal Fuel Mixtures for Biodiesel Production from Recycling Animal Fat”).

Table 1 presents the fuel properties of the 1rst ingredient (diesel).
Table 2 presents the fuel properties of the 2nd ingredient (biodiesel).
Table 3.1 presents the fuel properties of the new biodiesel (Set 1 - Emphasis on Mixture Cost Set).
Table 3.2 presents the fuel properties of the new biodiesel (Set 2 - Emphasis on Mixture Density Set).
DOI: 10.17632/wrgtvx2mtx.1
title: A Fortran 90 Hartree–Fock program for one-dimensional periodic π-conjugated systems using Pariser–Parr–Pople model

description: Abstract Pariser–Parr–Pople (P-P-P) model Hamiltonian is employed frequently to study the electronic structure and optical properties of π-conjugated systems. In this paper we describe a Fortran 90 computer program which uses the P-P-P model Hamiltonian to solve the Hartree–Fock (HF) equation for infinitely long, one-dimensional, periodic, π-electron systems. The code is capable of computing the band structure, as also the linear optical absorption spectrum, by using the tight-binding and the HF metho... Title of program: ppp_bulk.x Catalogue Id: AEKW_v1_0 Nature of problem The electronic structure of one-dimensional periodic π-conjugated systems is an intense area of research at present because of the tremendous interest in the physics of conjugated polymers and graphene nanoribbons. The computer program described in this paper provides an efficient way of solving the Hartree-Fock equations for such systems within the P-P-P model. In addition to the Bloch orbitals, band structure, and the density of states, the program can also compute quantities such as the linea ... Versions of this program held in the CPC repository in Mendeley Data AEKW_v1_0; ppp_bulk.x; 10.1016/j.cpc.2011.11.006 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/3xkmmyzwt4.1
title: Imputed dataset with accelerometer, gyroscope and magnetometer data for activities with motion

description: This dataset presents the data related to the walking, running, standing, walking upstairs, and walking downstairs captured with accelerometer, gyroscope and magnetometer sensors available in off-the-shelf mobile devices. This data was processed with K-Nearest Neighbour (KNN) algorithm.
DOI: 10.17632/d7fmxgx95t.1
title: Comparison of seagrass fauna across 3 South African estuaries

description: With earlier data as specified, a comparison of the macrobenthic seagrass fauna from equal areas of Zostera capensis in three adjacent South African estuaries (Swartvlei, Knysna and Keurbooms/Bitou) carried out using identical methodology and sampling effort to assess the extent to which they differ in supported biodiversity.
DOI: 10.17632/dv33wbmk2v.1
title: Data for: Forearc ages reveal extensive short-lived and rapid seafloor spreading following subduction initiation

description: Geochronological data for samples from the Izu-Bonin-Mariana Forearc.
DOI: 10.17632/2vt22x9s82.2
title: Guava leaves diseases datasets Bangladesh

description: The dataset, sourced from Vimruli Guava Garden and Floating Market in Jhalakathi, Barisal, categorizes guava leaf and fruit conditions for better crop management. It includes images of healthy and diseased samples, making it a valuable resource for researchers and practitioners working on machine learning models to identify plant diseases. The dataset includes six classes for robust model training.

Dataset Summary:
 Location: Vimruli Guava Garden & Floating Market, Jhalakathi, Barisal.
 Subjects: Guava leaves and fruits.
 Purpose: Classification and detection of guava plant conditions.

Data Distribution:
 Classes:
 1. Algal Leaves Spot: 100 original, 1320 augmented, 1420 total
 2. Dry Leaves: 52 original, 676 augmented, 728 total
 3. Healthy Fruit: 50 original, 650 augmented, 700 total
 4. Healthy Leaves: 150 original, 1600 augmented, 1750 total
 5. Insects Eaten: 164 original, 1720 augmented, 1884 total
 6. Red Rust: 90 original, 1170 augmented, 1260 total

Total Samples:
 Original: 606
 Augmented: 7136
 Overall: 7742 samples

Class Details:
 1. Algal Leaves Spot: Fungal spots on leaves.
 2. Dry Leaves: Leaves dried from environmental/nutrient factors.
 3. Healthy Fruit/Leaves: Free of diseases/damage.
 4. Insects Eaten: Insect-caused damage on leaves.
 5. Red Rust: Reddish spots due to fungal infection.

This dataset is well-suited for training and evaluating machine learning models to detect and classify various conditions of guava plants, aiding in automated disease identification and better agricultural management.
DOI: 10.17632/vfpm7y7kcg.1
title: Earth Analogue Modeling 2020
DOI: 10.17632/snynwg59yb.1
title: Covid-19 Employee Productivity in India

description: The dataset for this article was collected during the period April to June,2020 in India to ascertain the factors affecting the employee productivity of the employees working from home during lockdown due to Covid-19, from employees working in both private and public sector organizations across different industries. Based on the inputs from literature survey, a questionnaire was designed to measure the employee productivity of the employees working from home during the pandemic Covid-19. A well-constructed questionnaire was uploaded in the online survey platform and the link to the survey was also distributed using organizational email lists. The collected data was cleaned by removing the invalid, straight-lined responses and mean substitution method was used to replace the missing values resulting in 646 valid responses considered for this study. The dataset has twenty-three items that measure the employee productivity on seven point Likert scale (strongly agree-1 to strongly disagree-7) besides questions related to the demographic profile of the respondents. Items involved in the study were relevant to the factors Upskilling, Interpersonal Relationship, Time availability, Uncertainty and Employee Productivity. Based on the theoretical framework of 'Worker Productivity Model' ,Confirmatory factor analysis (CFA) was used to assess the proposed measurement model and structural equation model (SEM) was used to test the hypothesis about the structural relationship among the latent constructs.
DOI: 10.17632/2j7sksfh2h.3
title: Taking stock of climate policies

description: Source data for the article 'Taking stock of national climate policies to evaluate implementation of the Paris Agreement'
DOI: 10.17632/fspdwb4mst.1
title: Predicting Mechanical Properties of CFRP Composites Using Data-Driven Models with Comparative Analysis

description: Experimental values of physical and mechanical properties of nine different types of CFRP composites used as the dataset in article "Predicting Mechanical Properties of CFRP Composites Using Data-Driven Models with Comparative Analysis".
DOI: 10.17632/6jzbrkjpty.1
title: Dataset: Transient disruption of the inferior parietal lobule impairs the ability to attribute intention to action

description: IntentionDiscrimination.csv The intention discrimination task consisted of two blocks of 60 trials. Task structure conformed to a 2AFC design. Each trial displayed two reach-to-grasp acts in two consecutive temporal intervals: one interval contained a grasp-to-pour act, the other a grasp-to-drink act. Depending on block, participants had to indicate the interval (first or second) containing the grasp-to-drink or grasp-to-pour act. After response, participants were requested to rate the confidence of their choice on a four-level scale. KinematicDiscrimination.csv The kinematic discrimination task included the same stimuli and design as the intention discrimination task, except that participants were asked to indicate the interval containing the grasp with higher (or lower, depending on block) peak vertical height of the wrist. VideoKinematics.csv 64-dimensional space of kinematic features spanning 16 kinematic variables (described in text) over 4 time epochs for each video presented in the discrimination tasks.
DOI: 10.17632/8wmtcnfnt5.1
title: Computer Assisted Language Learning Research Data (1983-2020)

description: The computer assisted language learning research & publication dataset, which was indexed by Scopus from 1983 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/sz7rwg5p4n.1
title: Supplementary information for sediment, soil, and surface water data at Ashfield Flats Reserve, Western Australia

description: The data presented are dependent on two pre-existing Mendeley Data datasets:
Rate, Andrew; McGrath, Gavan (2022), “Sediment and soil quality at Ashfield Flats Reserve, Western Australia”, Mendeley Data, V1, doi: 10.17632/d7m3746byk.1 https://data.mendeley.com/datasets/d7m3746byk/1
Rate, Andrew; McGrath, Gavan (2022), “Surface water quality at Ashfield Flats Reserve, Western Australia”, Mendeley Data, V1, doi: 10.17632/vphzgjshgm.1 https://data.mendeley.com/datasets/vphzgjshgm/1

Elemental (including Al, As, B, Ba, Be, Ca, Cd, Ce, Co, Cr, Cu, Fe, Ga, Gd, Ge, K, La, Mg, Mn, Mo, Na, Nb, Nd, Ni, P, Pb, S, Sc, Si, Sr, Th, Ti, V, Y, Zn, Zr) concentrations, pH, electrical conductivity, microplastics, Longitude-Latitude and UTM Zone 50 coordinates, sample material type, sampling strata, and sample identification codes for 231 samples of sediment or soil, and elemental (including Al, As, B, Ba, Ca, Co, Cr, Cu, Fe,Gd, K, La, Mg, Mn, Mo, Na, Nd, Ni, P, S, Si, Sr, V, Zn) concentrations, selected nutrient ion concentrations (nitrate+nitrite (NOx), filterable reactive phosphate (FRP)), pH, electrical conductivity, Longitude-Latitude and UTM Zone 50 coordinates, sampling strata, and sample identification codes for 172 samples of surface water. Samples were collected in 2019, 2020, and 2021 from Ashfield Flats Reserve, an urban nature reserve in Western Australia.

The objective of the supplementary data is to analyse the statistical distributions of measured variables, and assess whether these variables (or log10- or Box-Cox-power-transformed variables) are normally distributed, and whether the distributions are unimodal. Maps are presented to contextualize the data spatially and visually. The distribution statistics are a guide to which subsequent statistical analyses (e.g. parametric or non-parametric) should be used.

This supplementary data includes:
» Map images showing location of the study site and location of samples;
» A table of lower limits of detection for analyses;
» 3 Tables of distribution statistics (Shapiro-Wilk, Hartigan Dip-test) for raw and transformed numeric variables in sediment/soil data by sampling year (2019, 2020, 2021)
» A figure showing density distribution plots for chemical water quality parameters.
» 3 Tables of distribution statistics (Shapiro-Wilk, Hartigan Dip-test) for raw and transformed numeric variables in surface water data by sampling year (2019, 2020, 2021)
DOI: 10.17632/vh4tdsscns.1
title: Data for: Do emergency ventilators deliver preset tidal volumes? - Mechanical ventilation in a human cadaver model of asynchronous cardiopulmonary resuscitation.

description: We conducted a crossover study of different ventilators in a human cadaver model of asynchronous cardiopulmonary resuscitation, to investigate wether transport respirators are able to provide ventilation during ongoing chest compressions [research paper - coming soon]. We found ventilations to be highly fragmented by chest compressions with meaningful reduction of deliverd tidal volumes. We also found significant differences of tidal volume reduction between the evaluated ventilators. The repository contains raw data recordings of flow, airway pressure, esophageal pressure, depth of the automated chest compression piston, and force of the automated chest compression piston. The dataset of derived values and especially volumes analysed is included in this repository. Data of this repository is described in detail in a co-submitted data publication [data publication - coming soon]. This data enables readers to review tracings of all respiratory measurements on raw data level. In another repository we provide a plotting tool to do so [3]. The data may be used to examine interactions of chest compressions and ventilations during cardiopulmonary resuscitation in depth.
DOI: 10.17632/96xhngzryf.1
title: Self-directed language learning in China

description: The data consist of interview recordings and transcripts with three language learners in China. The project examines how self-directed language learners manage their learning processes and invest in the practice. The interviews were conducted online over a span of one month in October and November 2019. The interviews cover a range of topics, including learning behaviors, use of resources, language beliefs, and learner motivation. I have written two articles based on the dataset. One of them examines the SDLL practices from a sociocultural perspective, while the other looks at how participants invest in language learning through Darvin and Norton's (2015) investment model.
DOI: 10.17632/wrhr5862cb.1
title: Data PROM Baseline

description: The data include the first assessment (before the initial treatment) of patient-reported outcomes (PROs) in ambulatory patients who visited the breast cancer center at Charité – Universitätsmedizin Berlin between November 2016 and March 2021. 1727 ambulatory patients with early breast cancer, ductal carcinoma in situ (DCIS), fibroadenoma, and other breast diseases were registered in the digital PRO-system as part of clinical routine. Patients’ sociodemographic data, medical history, clinical variables, and scores of the EORTC QLQ-C30 and EORTC QLQ-BR23 are provided in this dataset.
The assessment was performed electronically on tablet computers in the waiting area of the outpatient clinic. All surveys were provided in German via a web-based PRO-system (Heartbeat Medical). The questionnaires included PROs (EORTC QLQ-C30 and EORTC QLQ-BR23) and anamnesis (medical history and sociodemographic data). The anamnestic dataset, which was obtained via questionnaire, includes a version of the ICHOM breast cancer standard set that has been modified to German standards by the study group. Additional clinical data were documented afterwards in the PRO system by doctoral students or student assistants based on medical files.
The inclusion criteria for this dataset were as follows: 
-	Patients with a diagnosis of breast cancer, DCIS, fibroadenoma, or other breast diseases
-	Age 18 or over
-	German speakers
The exclusion criteria were as follows:
-	Non-eligible diagnosis
-	Diagnosis date after March 31, 2021
-	Missing diagnosis or diagnosis date
-	Diagnosis changed into a non-eligible diagnosis type (e.g., diagnosis date > 7 days after initial survey
-	First survey after treatment initiation
-	Second opinion
Most of the patients did not know their definitive diagnosis before the assessment of PROs and before the start of their initial treatment. If patients were diagnosed with more than one breast disease, they were labeled according to the following algorithm: breast cancer/DCIS>fibroadenoma>other breast diseases. Patients who were not treated at the Charité and only visited the outpatient clinic for a second were excluded.
DOI: 10.15468/dl.sxutz2
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Towson University - MidAtlantic - Ailanthus altissima - 2011"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009261-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3dd96zny84.2
title: Increase in yield with the minus and addition of N, P, and K fertilizer

description: At Grobogan, N fertilization increased harvested dry grain weight by 111.96 to 180.45%, milled dry grain weight by 135.04 to 160.16% and straw dry weight by 159.14 to 182.93%. P fertilization increased the weight of harvested dry grain by 0.00 to 13.61%, the weight of milled dry grain by 0.66 to 12.63%, and the dry weight of straw by 13.50 to 39.34%. K fertilization increased the weight of harvested dry grain by 9.11 to 27.94%, milled dry grain by 11.92 to 23.25%, and dry straw by 8.63 to 22.33%.
In Pandeglang, N fertilization significantly increased the weight of harvested dry grain by 46.67 to 81.71%, milled dry grain by 43.80 to 78.83%, and dry straw by 49.35 to 88.01%. P fertilization increased rice production very little, between 0.00 and 27.91%. K fertilization increased the weight of harvested dry grain by 0.00 to 31.34%, the weight of milled dry grain by 1.50 to 34.60%, and the weight of dry straw by 4.28 to 46.14%.
The addition of N fertilizer in Sukadana significantly increased the weight of harvested dry grain by 80.00 to 136.36%, milled dry grain by 64.29 to 262.50%, and dry straw by 10.42 to 169.29%. The increase in rice production with the addition of P fertilizer is very small, ranging from 0.00 to 4.16%. The application of K fertilizer significantly increased the weight of harvested dry grain by 25.38 to 94.59%, the weight of milled dry grain by 37.39 to 160.27%, and the weight of dry straw by 18.89 to 49.64%.
DOI: 10.17632/gkvzp7ppr8.1
title: dataset: the impact of financial support from the government on hotels and restaurants in several cities in Central Java

description: This dataset contains the perceptions of hotel and restaurant actors due to providing financial assistance by the government during Pandemic Covid-19. Data were collected using a Likert scale questionnaire and analyzed using Partial Least Square (PLS-SEM). Respondents were 200 hotel and restaurant industry players in several cities in Central Java and Yogyakarta provinces
DOI: 10.15468/dl.ydahv5
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pistacia atlantica Desf.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 363 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009265-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dtb4y9b684.3
title: Practical Guide to Tinted Sunscreens - Supplementary Table 1

description: This table contains a list of commercially available tinted sunscreens by average price per ounce.
DOI: 10.17632/t9cmfb8vcj.1
title: Motivating Collusion

description: This is the Stata code and public version of the data used in Sangeun Ha, Fangyuan Ma, and Alminas Zaldokas, "Motivating Collusion", forthcoming at the Journal of Financial Economics.