cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9gfc6vdbjt
title: The effectiveness of the use of nitroglycerin for the correction of arterial hypertension in ophthalmic surgery: a single-center prospective study.

description: Introduction. Anesthesiological aid adult patients with cataract surgery are mainly carried out by intravenous sedation. A significant part of the patients operated on for cataracts are aged 50 and over, with concomitant diseases of the cardiovascular system, diabetes mellitus, kidney diseases and overweight. The most common concomitant diagnosis in ophthalmology is arterial hypertension (AH). During the operation or in the postoperative period, blood pressure (BP) increases in 25% of hypertensive patients. High, uncontrolled hypertension during surgery poses a threat to the development of operational complications (increased intraocular pressure (IOP) against a background of highly systemic blood pressure), as well as cardiovascular complications.
Objectives. To compare the effectiveness of hypotensive therapy with nitroglycerin, magnesium sulfate and droperidol during ophthalmic surgery.
Materials and methods. 261 patients participated in the study. The patients were randomized into 3 groups. Exclusion criteria: angle-closure glaucoma. Patients with an average blood pressure above 113 mm Hg underwent hypotensive therapy: group 1 Nitroglycerin (1-2 doses under the tongue); group 2 intravenously magnesium sulfate (5 ml 250 mg/ml); group 3 intravenously 1.0 ml droperidol (2.5 mg/ ml). The effectiveness of antihypertensive therapy was assessed by the level of mean blood pressure (cf. BP) and heart rate (HR) during and after surgery, as well as the dynamics of IOP after surgery.
Results. After hypotensive therapy with nitroglycerin, blood pressure was lower compared to other groups during surgery (p≤0.005) and after (p=0.0004). Heart rate was significantly lower in the droperidol group (p<0.05). There was a tendency to a slight increase in IOP in patients in the nitroglycerin group. However, there was no significant difference between the IOP values of OD (p=0.065) and OS (p=0.269).
Conclusion(s). The use of nitroglycerin in the form of a spray (1-2 doses) quickly and effectively allows you to stabilize a high blood pressure level during ophthalmic surgery (except for patients with angle-closure glaucoma) can serve as a prevention of acute coronary syndrome. In our study, nitroglycerin did not have a negative effect on the hydrodynamics of the eye. IOP before and after surgery remained at a stable level.
DOI: 10.17632/n5x9dnhyby
title: Niger Delta Nypa Palm Extent 2015-2020

description: 
These data are associated with an article submitted to the Journal of Remote Sensing (in review). In this study, the Sentinel 1 SAR, Sentinel 2 MSI, and ALOS 2 PALSAR 2 archives were used in Google Earth Engine to quantify the change in extent of invasive Nypa Palm in the Niger Delta over a period from 2015-2020. Areas of Nypa Palm were identified using Random Forest Classification models and a final model relying on Sentinel 1 SAR was produced for 2015 and 2020. Details regarding methods and Earth Engine code can be found in the manuscript.

File Description:

Classified_S1SAR_2015_NEWTRAINING_500Trees_4VarsTDX_Feb2022.tif:
Landcover Classification within Study Area in 2015. Resolution: 10m. Band: Class_mode
1 = Nypa Palm
4 =  Water
5 =  Mangrove

Classified_S1SAR_2020_NEWTRAINING_500Trees_4Vars_TDX_Feb2022.tif:
Landcover Classification within Study Area in 2020. Resolution: 10m. Band: Class_mode
1 = Nypa Palm
4 =  Water
5 =  Mangrove

ChangeDetection2015_2020Nigeria_Feb2022.tif:
Landcover change type between 2015-2020. Resolution: 10m. Band: remapped
6 = No Change Nypa
7 = Nypa to Water
8 = Nypa to Mangrove
12 = Water to Nypa
14 = No Change Water
16 = Water to Mangroves
18 = Mangrove to Nypa
21 = Mangrove to Water
24 = No Change Mangrove

Classified_S1SAR_2015_Confidence_Feb2022_NYPA.tif:
Confidence of Nypa Classification on a per-pixel level in 2015. Resolution: 10m. Band: confidence (0-1)

Classified_S1SAR_2015_Confidence_Feb2022_MANG.tif:
Confidence of Mangrove Classification on a per-pixel level in 2015. Resolution: 10m. Band: confidence (0-1)

Classified_S1SAR_2020_Confidence_Feb2022_NYPA.tif:
Confidence of Nypa Classification on a per-pixel level in 2020. Resolution: 10m. Band: confidence (0-1)


Classified_S1SAR_2020_Confidence_Feb2022_MANG.tif:
Confidence of Mangrove Classification on a per-pixel level in 2020. Resolution: 10m. Band: confidence (0-1)

Abigail Barenblitt; Lola Fatoyinbo; Nathan Thomas; Atticus Stovall; Celio de Sousa; Chukwuebuka Nwobi (in review). Invasion in the Niger Delta: Remote sensing of mangrove conversion to invasive Nypa fruticans from 2015-2020. Journal of Remote Sensing.
DOI: 10.17632/4f92y6jzzh
title: Ballistic limit (V50) database

description: A database of publicly available experimentally determined V50 ballistic limits (i.e., the impact velocity at which the target has a 50% probability of being perforated) for a range of projectile types, target materials, and impact conditions. Specifically, the database contains 1084 records from public sources, spanning 11 projectile types including armour piercing (AP), ball, and fragment simulators with calibres between 7.62 mm and 30 mm impacting aluminium, titanium, and steel targets of thicknesses ranging from 2.6 mm to 99 mm at impact obliquities between 0 and 45 degrees. 

Cite this database as:
S Ryan, NM Sushma, A Kumar AV, J Berk, T Hashem, S Rana, S Venkatesh, "Machine Learning for Predicting the Outcome of Terminal Ballistics Events", Defence Technology (in-press), 2023
DOI: 10.17632/my23s4z3rm
title: Climate Policy Uncertainty Affect Corporate Investment-Financing Maturity Mismatch

description: Raw data and Stata do files
DOI: 10.17632/srm6jxkmnk
title: Research Analysis on ChatGPT: Exploring the Ethical Issues of an Emerging Pedagogical Technology

description: The research article discusses how the ethical issues when using generative conversational 
artificial intelligence systems about ChatGPT. Establishing an IT/IS approach to spread an ethical review 
of the new technologies aboput ChatGPT are intended for a better systematic review about the advantages 
and possible problems about ChatGPT and AI per say. This approach integrates ethical issues identified 
through proactive techniques. Ethical issues in new ICT applications, including ethics, ethical impact
assessment and specific aspects of AI. Used to analyze the human text generation and interaction 
capabilities of ChatGPT. Also, the resarch analysis shows that ChatGPT can provide high levels of social 
and ethical benefits. But so does raises serious ethical concerns about social justice, individual autonomy, 
cultural identity, and environmental issues. Mental problems is one of the key issues with high impact 
include accountability, inclusion, social cohesion, autonomy, security, prejudice, responsibility and 
environmental impact. Although the current discussion focuses only on specific issues. This review 
consistently highlights a broader and more balanced range of ethical issues that, in the author's view, 
require attention. These findings are consistent with emerging research and industry priorities regarding 
the generative ethics of artificial intelligence. This includes the need to engage a variety of stakeholders 
and consider benefits and risks holistically. Participates in application development and multi-level policy 
interventions to achieve positive outcomes. Typical, The analysis shows that using established ethical 
engineering methods can lead to rigorous measurements. A comprehensive framework to guide 
discussion and action on new, impactful technologies such as ChatGPT. This article proposes to maintain 
this broad and balanced ethical perspective as use cases are developed to realize the benefits.
DOI: 10.17632/x9s6h3sdn2
title: Data for: Synthesis, a structural and thermoanalytical study of Ca1-xSrxMoO4 ceramic
DOI: 10.17632/z37dp5fcp7
title: HotSpot 3.1.2 General Plume radioactive surface contamination

description: HotSpot input and output files of general plume environmental radioactive surface contamination from a hypothetical nuclear research reactor accident. This supplementary data for the article "Assessment of environmental radioactive surface contamination from a hypothetical nuclear research reactor accident" Published in Heliyon Journal Appendix 1 is for Dry weather case Appendix 2 is for Wet weather case
DOI: 10.17632/zpdy75c84g
title: Trajectory calculations for the reaction K + HBr → KBr + H in the eV-region

description: Title of program: CLASSICAL TRAJECTORIES 324 Catalogue Id: AAGI_v1_0 Nature of problem A series of three-dimensional classical kinematic computer trajectory calculations have been made on the exothermic exchange reaction K+HBR - KBr+H, deltaH=-0.206eV. The total reaction cross section for the formation of KBR, as well as the angular distribution of non-reactive scattered K was obtained as a function of initial relative kinetic energy, which was varied between 0.03 and 30eV. Versions of this program held in the CPC repository in Mendeley Data AAGI_v1_0; CLASSICAL TRAJECTORIES 324; 10.1016/0010-4655(72)90053-7 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.11320124.v1
title: Data: The specificity and reliability of conflict adaptation: A mouse-tracking study

description: Raw data, means, pivot tables, and Stroop and Flanker files used for the Mousetracker program (Freeman & Ambady, 2010) in the following paper:<br>Grundy, J.G. The specificity and reliability of conflict adaptation: A mouse-tracking study. <i>Frontiers in Psychology</i>, 12:770509.<br>doi: 10.3389/fpsyg.2021.770509
DOI: 10.6084/m9.figshare.25611486.v1
title: Table S1: Genome sequence data obtained from the Live-Attenuated vaccine from Onderstepoort Biological Products

description: Sequencing of the original master seed viruses used for the production of the Onderstepoort Biological Products Bluetongue liv-attenuated vaccine was conducted using the Illumina and Ion Torrent platforms.
DOI: 10.6084/m9.figshare.29168555.v1
title: Spanish Dataset used in study "<i>Low-Footprint NLP for Reducing Teacher’s Orchestration Load in Computer-Supported Case-Based Learning Environments</i>", by Alvarez, C., Carvallo, A., and Zurita, G.

description: This dataset corresponds to EthicApp activities conducted at the School of Engineering and Sciences at University of Chile, in Spanish, involving 520 first-semester freshmen organized into 19 class groups with an average size of 30 students per group (min = 14, q<sub>1</sub> = 15, median = 21, q<sub>3</sub> = 34, max = 102). The activities centred on the ethical case of 'Laura,' an engineer navigating multiple dilemmas. Laura quit her job because of technical mistakes she made, even though she knew herself competent and could have made up for the errors. She later found a job with a higher level of responsibility. In this context, a second ethical dilemma arose about her dedication of time to family versus work, considering that she wanted to strengthen her relationship with her children and visit her aging father with health struggles.In contrast, work offered her continual attractive challenges. Finally, based on the latter, a third dilemma arose, since in her most recent job she led the development of an offer from her company to a proposal for a very ambitious project, which meant a vital career advancement, but with a negative environmental impact that could affect the quality of citizens and ecosystems in a specific community. Her colleagues had resigned from the company because they disagreed with working on such a project.Students responded to questions about this case quantitatively on a 7-point Semantic Differential Scale (SDS) and qualitatively in textual form. <b>These responses form the basis of the dataset, which comprises 1,102 non-empty student responses to questions 1 and 2.</b>Question 1: Is it appropriate for Laura to gradually dedicate more time to work and her professional development than to family and the other dimensions of her life? (Responses as text and in a 1-7 semantic differential scale; Left pole (1): Laura should reconsider her dedication. Right pole (7): Laura should maintain her dedication.)<br>Question text in Spanish: "¿Es adecuado que Laura le dedique paulatinamente más tiempo al trabajo y su desarrollo profesional que a la familia y a las otras dimensiones de su vida?"Question 2: Regarding the engineers who quit the project due to the impact generated, what decision seems more correct? (Responses as text and in a 1-7 semantic differential scale; Left pole (1): Quit the project; Right pole (7): Stay in the project.).<br>Question text in Spanish: "Respecto de los ingenieros que renuncian al proyecto debido al impacto generado, ¿qué decisión le parece más correcta?"
DOI: 10.17632/zz74tx28j2
title: Exploring Factors influencing the Online Impulse Buying Behavior of Students on TikTok Shop

description: The dataset aims to explore the factors influencing the online impulse buying behavior of university and college students in Can Tho, a central city in the Mekong Delta of Vietnam, on TikTok Shop. Data collection was conducted from January 2024 to March 2024 via an online questionnaire, resulting in 361 valid responses.
DOI: 10.17632/h72dvxkn6c
title: Impact of seasonal variations in fronts on suspended sediment transport off the coast of Fujian Province

description: It includes the data used in this study, including temperature, salinity, current velocity, current direction and suspended sediment concentration.
DOI: 10.17632/j362v5x3nk
title: Public transport network and ridership data for 48 European metropolitan areas

description: Dataset of public transport network characteristics for 48 European metropolitan areas. Includes network characteristics and ridership split on public transport modes as well as various economic and urban characteristic collected from multiple data sources, which also are stated in the dataset.
DOI: 10.17632/r6nk22y67y
title: Dataset: Air Quality Index (AQI) of Major Indian Cities and Stations 24/4/2024

description: The dataset contains air quality information for various cities across India. It includes parameters such as Air Quality Index (AQI), concentrations of particulate matter (PM2.5 and PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), as well as geographical coordinates and time stamps. This dataset enables analysis and comparison of air quality levels among different cities, aiding in understanding environmental health impacts and informing policy decisions.
DOI: 10.6084/m9.figshare.5375338.v1
title: Lack of knowledge and availability of diagnostic equipment could hinder the diagnosis of sarcopenia and its management

description: Data from the Sarcopenia Road Show (Reijnierse et al.)
DOI: 10.17632/xgrrjs39yz
title: Data for: Synergistic Effects in Hydrodynamic Cavitation Abrasive Finishing for Internal Surface-Finish Enhancement of Additive-Manufactured Components

description: Corner surface finish quality; surface morphology; surface characterisation; surface finishing
DOI: 10.17632/y872vhtfrc
title: SPEECh Model for Study on Grid Impacts of Charging Infrastructure Access

description: This data set accompanies the github repository - https://github.com/SiobhanPowell/speech-grid-impact - and supports the research paper, "Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption", submitted in 2021. This paper uses a novel, data-driven model of electric vehicle drivers' charging behaviours to study the grid impacts of charging infrastructure access and control at deep levels of electric vehicle adoption. 

The files here include five folders: (1) a Data folder containing models of driver charging behaviour that should be downloaded to run the Github model; (2) normalized load profiles for each driver group, giving the per vehicle daily load profile in kW; (3) the charging profiles produced for each of the main WECC grid scenarios studied in the paper; (4) the control objects learned to model workplace charging control; and (5) objects needed to run the grid dispatch model. Note in (3) those with suffix _20220313 are the main estimate of WECC demand while those with suffix _20211119 give the demand as if there were one timezone in WECC (used for illustration).

Authors: Siobhan Powell (siobhan.powell@stanford.edu), Gustavo Vianna Cezar, Liang Min, Prof Ines Azevedo, and Prof Ram Rajagopal (ramr@stanford.edu).
DOI: 10.6084/m9.figshare.1515884.v1
title: Modified EPIRICE Ref.

description: EPIRICE model (Savary et al., 2012) was modified to fit in a national scale application in Korea, and used for the climate change impact analysis in Korea (Kim et al., 2015). This article includes a reference paper published using the modified EPIRICE code and the R code script for your reference. - References *Savary, S., A. Nelson, L. Willocquet, I. Pangga, and J. Aunario, 2012. Modeling and mapping potential epidemics of rice diseases globally. Crop Protection 34, 6–17. *Kim, K.-H., Cho, J., Lee, Y.H., and Lee, W.-S. 2015. Predicting potential epidemics of rice leaf blast and sheath blight in South Korea under the RCP 4.5 and RCP 8.5 climate change scenarios using a rice disease epidemiology model, EPIRICE. Agricultural and Forest Meteorology, 203, 191-207.
DOI: 10.6084/m9.figshare.20554971.v3
title: DATA SET: A method for single particle tracking through a multimode fiber.zip

description: Data set for the article 'A method for single particle tracking through a multimode fiber'
DOI: 10.6084/m9.figshare.24208572.v1
title: S001.zip

description: Data for S001
DOI: 10.6084/m9.figshare.3560628.v1
title: Data Paper. Data Paper

description: File List bvd_genus_ag_030614.csv (md5: 3a6f1dc5c9be57c1d4db5731205cba50) bvd_genus_raw_030614.csv (md5: 9d8889b1d03b470bc60c812f7177f758) bvd_raw_052814.csv (md5: 4ca722dfae7703dc5efa585a1b4f60f2) bvd_species_ag_030614.csv (md5: b3638fd46f5d1518b8206bf96ea6bbaf) bvd_species_raw_030614.csv (md5: 1e3e815263e9d5a65dc5f91506ca30a3) taxa_table_030614.csv (md5: 147cbba2ba0fd96d33dd0eb9ad32a0e4) Description Cell size determination is a critical part of sampling phytoplankton communities, as size is both a fundamental trait determining species’ ecological niches and a quantity necessary for generating unbiased estimates of community composition. The sizes of algal cells span orders of magnitude, driving variation in growth parameters, sinking rates, herbivore defense, and biogeochemical roles. Size variation occurs at both intra- and interspecific levels. Many central questions in community and ecosystem ecology require estimating and comparing the relative abundances of species. Cell counts provide insufficient estimates, due to interspecific variation in cell size, as they over-estimate the importance of abundant, small species. While cell size (or biovolume) estimation has become standard practice in limnology, many valuable, older data sets lack this information, limiting their interpretation and utility. To address these challenges, and advance the study of freshwater phytoplankton communities, we have compiled a database of &gt;260 000 algal biovolume estimates, spanning ~400 genera and ~1200 species. This represents the most extensive, standardized, and taxonomically diverse data set of its kind, drawing on both publicly and privately held sources. Estimates of the sizes of colonies or filaments are included, where applicable. With this data researchers will be able to account for intra- and interspecific variation in cell size, enabling new and improved analyses of classic data sets. <i>Key words</i>: <i>biovolume; cell size; database; estuarine; freshwater; interspecific variation; intraspecific variation; natural unit; phytoplankton; trait estimation; traits.</i>
DOI: 10.15468/dl.eudugx
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Panicum acuminatum Muhl., 1817",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012988-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3gtbxvgm5f
title: AllerNuts: Dataset for Identifying Allergenic Nuts via Image Classification

description: This Nuts Classification Dataset is developed to support health-related research, particularly for identifying allergenic nuts through computer vision techniques. Given the health benefits of nuts, there is also a need to detect varieties that may cause allergic reactions. Based on online research, four types of nuts commonly associated with allergies were selected: Almonds, Cashews, Peanuts, and Pistachios. Nuts Samples were collected from local markets in Kaliakoir, Gazipur, Bangladesh, between November 16 and November 18, 2023. Images of these nuts were captured using a Xiaomi Redmi Note 9S smartphone. Originally in high dimensions (300x300 px), images were resized to 800x600 px to optimize file size while preserving quality. The dataset contains 4,390 images: 1,039 Almonds, 1,070 Cashews, 1,153 Peanuts, and 1,128 Pistachios. Backgrounds were removed to improve model learning efficiency; mages were taken with a white paper background and flash lighting for clarity and consistency. This balanced dataset, with backgrounds removed, is useful for computer vision projects to identify allergenic nuts using machine learning and deep learning models. It will also support health-related research by helping to classify nuts that may cause allergies.

Original Data:
Total: 4390 Images
Data Type: JPG
Dimension: 800 X 600

Without Background Data:
Total: 4390 Images
Data Type: JPG
Dimension: 800 X 600
DOI: 10.17632/prztv3jb2v
title: GIS files: Microscale walkability indicators for fifty-nine European central urban areas

description: This dataset includes pre-processed geospatial data grids (.shp) and in high spatial resolution (50 m X 50 m) of 17 microscale built environment attributes. (in km per km2) The geospatial grids have been calculated using the Kernel density tool in ArcGIS Desktop, v.10.3 (ESRI, REDLANDS) applied to the raw GIS vectors (i.e., polylines), created during the street observation phase of our research. Please, also see the read_me.txt and desclaimer.txt files. More information about the project can be seen: 1. on our website: http://geochoros.survey.ntua.gr/walkandthecitycenter/home 2. and our data article in 'Data in Brief' Journal: Bartzokas-Tsiompras, A., Photis, Y., Tsagkis, P., & Panagiotopoulos, G. (2021-in press). Microscale walkability indicators for fifty-nine European central urban areas: An open-access tabular dataset and geospatial web-based platform. Data in Brief (https://www.sciencedirect.com/journal/data-in-brief)
DOI: 10.17632/rk8pjbghct
title: Annotated Indonesian Tweets Dataset containing Abusive Words for Sentiment Analysis

description: 999 Indonesian tweets containing abusive words, manually tagged with positive and negative sentiment. Along with this is a list of 20 abusive words frequently used in Indonesian tweets.