cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gvdtn4z4hy.3
title: 2-D Method of Moments Formulations for Nonlinear Low-Frequency Electromagnetics

description: MATLAB-based code is included to reproduce the results of "2-D Method of Moments Formulations for Nonlinear Low-Frequency Electromagnetics". Meshes used were generated using COMSOL and DistMesh [1, 2].
[1] “Product: Ac/dc module.” https://www.comsol.com/acdc-module. Accessed: 2019-10-21.
[2] P.-O. Persson and G. Strang, “A simple mesh generator in matlab,” SIAM Review, vol. 46, no. 2, pp. 329–345, 2004.

Changenotes:
Version 3 - June 20, 2025
- Fixed a bug in the point-matching formulation that did not allow for soft starting
- Added results and figure related to maximum iteration count required for each operating point with respect to each formulation
- Added figure to display permeability vs. magnetic field specification used in studies
Version 2 - April 28, 2025
- Added README
DOI: 10.17632/pdh382hdj3
title: LINF_200020500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/pdh382hdj3.1
title: LINF_200020500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/5s5m6kr9rg
title: Lead-based ammunition in Pellets of Griffon Vultures from Spain

description: Information about the presence of lead-based ammunition in pellets regurgitated by griffon vultures from Spain
DOI: 10.17632/5s5m6kr9rg.1
title: Lead-based ammunition in Pellets of Griffon Vultures from Spain

description: Information about the presence of lead-based ammunition in pellets regurgitated by griffon vultures from Spain
DOI: 10.17632/txw2xd5x8z
title: QTNano_SabiM - Computational Screening of 2D Transition Metal Halides for Optical Applications: The Role of Excitonic Effects, ACS Appl. Energy Mater.(2025)

description: Raw data of the published paper - https://doi.org/10.1021/acsaem.5c00610
DOI: 10.17632/txw2xd5x8z.1
title: QTNano_SabiM - Computational Screening of 2D Transition Metal Halides for Optical Applications: The Role of Excitonic Effects, ACS Appl. Energy Mater.(2025)

description: Raw data of the published paper - https://doi.org/10.1021/acsaem.5c00610
DOI: 10.17632/67xmhjhk9t.1
title: Vaccine hesitancy and refusal among parents of children aged 5-11: evidence from the COVID-19 pandemic in the Southern part of Italy.

description: The dataset was used in a cross-sectional study primarily aimed to evaluate parental hesitancy and refusal regarding COVID-19 vaccination for children. This study was conducted, between May and September 2022 in amog a sample of parents of children between 5 and 11 years of the Calabria Region. The information was collected through a online questionnaire that was filled in by respondents. The online survey was available on the school's web site home page and electronic register of classes, in addition in order to reach partecipants who did not use the Internet, data collection was also carried out using a papare questionnaire. An anonymous and structured questionnaire was used, comprising of five sections: (1) the first section gathered data on demographic characteristics; (2) the second section aimed to assess parents' knowledge regarding COVID-19 and vaccination in children; (3) the third section evaluated concer and beliefe regarding the risk of COVID-19 and immunization and children; (4) the fourth section explored the COVID-19 vaccination history of the parental and his/her child, and the intentions, if any, to vaccinate him/her, along with reason for thir decision; (5) the fifth section collected data on vaccination information sources and whether parents felt in need of additional information.
DOI: 10.17632/zdcr8x3frp
title: LINF_200020600

description: Protein with domain of unknown function DUF4456; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zdcr8x3frp.1
title: LINF_200020600

description: Protein with domain of unknown function DUF4456; Leishmania infantum (strain JPCM5)
DOI: 10.17632/nrfnhc3fwd
title: LINF_200020800

description: TBC20/Gyp8-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/nrfnhc3fwd.1
title: LINF_200020800

description: TBC20/Gyp8-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/x344f79sxv.2
title: Defunding Controversial Industries - Code

description: Replication code for "Defunding Controversial Industries: Can Targeted Credit Rationing Choke Firms?" (Sachdeva, K., Silva, A.F., Slutzky, P. and Xu, B.)
DOI: 10.34740/kaggle/dsv/12231521
title: Roman Rosdolsky Papers
DOI: 10.17632/3brcxsgyfd.1
title: Data for the paper: Do magmatic sill intrusions simply liberate the sulphur of the sedimentary reservoirs?

description: Raw data for all figures in the manuscript by Cheviet et al., to be published by Geochimica et Cosmochimica Acta as "Do magmatic sill intrusions simply liberate the sulphur of the sedimentary reservoirs?".
DOI: 10.17632/nyrxym7y9z
title: LINF_200021100

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.15707540
title: Accurate Depth-Resolved Temperature Profiling via Thermal-Radiation Spectroscopy: Numerical Methods vs Machine Learning

description: These data support the findings presented in "Accurate Depth-Resolved Temperature Profiling via Thermal-Radiation Spectroscopy: Numerical Methods vs Machine Learning".
DOI: 10.15468/dl.e5bgyt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micrasterias C.Agardh ex Ralfs, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060641-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15707539
title: Accurate Depth-Resolved Temperature Profiling via Thermal-Radiation Spectroscopy: Numerical Methods vs Machine Learning

description: These data support the findings presented in "Accurate Depth-Resolved Temperature Profiling via Thermal-Radiation Spectroscopy: Numerical Methods vs Machine Learning".
DOI: 10.17632/nyrxym7y9z.1
title: LINF_200021100

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/pxhfyjpzrh
title: Banco de dados: Depressão e força

description: Título: Dataset simulado – Depressão e força muscular em estudantes universitários.
Este banco de dados contém informações simuladas para fins didáticos no contexto da disciplina do mestrado. Nenhum dado real de participante foi utilizado.
Descrição: Este conjunto de dados contém informações simuladas de 250 estudantes universitários, incluindo escores de depressão (PHQ-9), força muscular de membros superiores (preensão manual) e inferiores (salto vertical), além do sexo dos participantes. Os dados foram gerados com distribuição realista para fins didáticos e analíticos na disciplina de pesquisa do mestrado.
Instrumentos utilizados:
PHQ-9 para avaliação de sintomas depressivos.
Dinamômetro de preensão manual.
Teste de salto vertical.
Importante: os dados são simulados e não correspondem a indivíduos reais.
DOI: 10.17632/pxhfyjpzrh.1
title: Banco de dados: Depressão e força

description: Título: Dataset simulado – Depressão e força muscular em estudantes universitários.
Este banco de dados contém informações simuladas para fins didáticos no contexto da disciplina do mestrado. Nenhum dado real de participante foi utilizado.
Descrição: Este conjunto de dados contém informações simuladas de 250 estudantes universitários, incluindo escores de depressão (PHQ-9), força muscular de membros superiores (preensão manual) e inferiores (salto vertical), além do sexo dos participantes. Os dados foram gerados com distribuição realista para fins didáticos e analíticos na disciplina de pesquisa do mestrado.
Instrumentos utilizados:
PHQ-9 para avaliação de sintomas depressivos.
Dinamômetro de preensão manual.
Teste de salto vertical.
Importante: os dados são simulados e não correspondem a indivíduos reais.
DOI: 10.17632/4n3t9mdkwg
title: LINF_200021700

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/4n3t9mdkwg.1
title: LINF_200021700

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/66fk6d5svw
title: LINF_200022400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/66fk6d5svw.1
title: LINF_200022400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/km9h2z9ts9
title: Does Conditional Cash Transfer Have a Lasting Impact?

description: This data for the article "Does Conditional Cash Transfer Have a Lasting Impact? Evidence from Indonesia
DOI: 10.17632/km9h2z9ts9.1
title: Does Conditional Cash Transfer Have a Lasting Impact?

description: This data for the article "Does Conditional Cash Transfer Have a Lasting Impact? Evidence from Indonesia
DOI: 10.17632/8t95g8m8jy
title: Social Entrepreneurship Intention Questionnaire

description: The research model of this paper is shown in Figure 1, including 6 latent variables, and a total of 58 items were evaluated. As shown in Table 1. These six latent variables are as follows: (1) Innovative cognitive style; (2) Adaptive cognitive style (3) Social risk preference (4) Social entrepreneurship Self-efficacy (5) Empathy ability (6) Social entrepreneurship intention. For each scale, we average the items to form the overall measurement. All the scales required for this study adopted mature scales published in mainstream domestic and foreign journals.
DOI: 10.17632/8t95g8m8jy.1
title: Social Entrepreneurship Intention Questionnaire

description: The research model of this paper is shown in Figure 1, including 6 latent variables, and a total of 58 items were evaluated. As shown in Table 1. These six latent variables are as follows: (1) Innovative cognitive style; (2) Adaptive cognitive style (3) Social risk preference (4) Social entrepreneurship Self-efficacy (5) Empathy ability (6) Social entrepreneurship intention. For each scale, we average the items to form the overall measurement. All the scales required for this study adopted mature scales published in mainstream domestic and foreign journals.
DOI: 10.17632/fv43672m56
title: University science education students’ performance in processing of a scientific data set

description: TeMost empirical studies in science education on student processing of scientific data have reported that most elective science students studying physics do not understand how to use the term 'repeat' in a dataset or identify anomalies in scientific measurements. it appears that not many studies have focused on university students in Ghana. Therefore, this study would bridge the gap by concentrating on university science education students’ performance in processing a scientific data set. The study employed a cross-sectional survey design in collecting data on using repeat (UR) and anomalies in the dataset (AN) of processing of data in a scientific dataset. The sample of the study was 220 out of 495 science education students. Data was collected using a questionnaire. The findings were that on using the repeat (UR) data set item, 13.60% of students had the right response, and on the anomaly (AN) data set item, 9.10% of students had the right response. With this, it appears the majority of science education students have challenges in processing data of a scientific dataset. Also, the female students (16.7% on the UR item and 10.00% on the AN item) had more right responses than their male (10.00% on the UR item and 8.00% on the AN item) counterpart. This implies that descriptively female science education students performed better compared to the male science education students. ANCOVA was conducted to examine whether there were significant differences between male and female science education students in their ability to process scientific data using repeated (UR) and identify anomalies (AN) within a scientific dataset. The overall model was statistically significant, F(1,218) = 646.00, p &lt; .001 and F(1,218) = 895.00, p &lt; .001, respectively, indicating that gender had a meaningful impact on students’ performance in the UR and AN tasks. The effect size was large (η² = .748 and .804), suggesting that approximately 74.8% of the variance in UR scores and 80.4% of the variance in AN scores could be attributed to students’ sex. A post hoc comparison using Tukey’s test for both UR and AN revealed that female students significantly outperformed their male counterparts, with a mean difference of -2.63 and -3.20, respectively. The negative mean difference confirms that male students had significantly lower scores on both the UR and AN tasks than their female counterparts. It is recommended that conscious data processing skills should be mounted for science education students.
DOI: 10.17632/fv43672m56.1
title: University science education students’ performance in processing of a scientific data set

description: TeMost empirical studies in science education on student processing of scientific data have reported that most elective science students studying physics do not understand how to use the term 'repeat' in a dataset or identify anomalies in scientific measurements. it appears that not many studies have focused on university students in Ghana. Therefore, this study would bridge the gap by concentrating on university science education students’ performance in processing a scientific data set. The study employed a cross-sectional survey design in collecting data on using repeat (UR) and anomalies in the dataset (AN) of processing of data in a scientific dataset. The sample of the study was 220 out of 495 science education students. Data was collected using a questionnaire. The findings were that on using the repeat (UR) data set item, 13.60% of students had the right response, and on the anomaly (AN) data set item, 9.10% of students had the right response. With this, it appears the majority of science education students have challenges in processing data of a scientific dataset. Also, the female students (16.7% on the UR item and 10.00% on the AN item) had more right responses than their male (10.00% on the UR item and 8.00% on the AN item) counterpart. This implies that descriptively female science education students performed better compared to the male science education students. ANCOVA was conducted to examine whether there were significant differences between male and female science education students in their ability to process scientific data using repeated (UR) and identify anomalies (AN) within a scientific dataset. The overall model was statistically significant, F(1,218) = 646.00, p &lt; .001 and F(1,218) = 895.00, p &lt; .001, respectively, indicating that gender had a meaningful impact on students’ performance in the UR and AN tasks. The effect size was large (η² = .748 and .804), suggesting that approximately 74.8% of the variance in UR scores and 80.4% of the variance in AN scores could be attributed to students’ sex. A post hoc comparison using Tukey’s test for both UR and AN revealed that female students significantly outperformed their male counterparts, with a mean difference of -2.63 and -3.20, respectively. The negative mean difference confirms that male students had significantly lower scores on both the UR and AN tasks than their female counterparts. It is recommended that conscious data processing skills should be mounted for science education students.
DOI: 10.15468/dl.5hu3vq
title: Occurrence Download

description: A dataset containing 3526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Chalcomitra rubescens (Vieillot, 1819)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 3526 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060642-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nrh5jhcwjh
title: Deception in research through partial disclosure: Exploring the Ethics Committee dilemma

description: The qualitative dataset titled "Deception in research through partial disclosure: Exploring the Ethics Committee dilemma" explores the ethical complexities surrounding the use of partial disclosure in human subjects research. Based on detailed interviews and thematic coding of responses from Ethics Committee (EC) members and stakeholders, the dataset captures diverse perspectives on when, why, and how partial disclosure is used, and the extent to which it is ethically permissible. Participants reflect on their awareness (or lack thereof) of the concepts of deception and partial disclosure, often conflating the two, and express uncertainty about their justifications and boundaries. The dataset reveals critical issues in informed consent processes, including miscommunication, incomplete disclosure, and the challenges of ensuring participant autonomy, particularly when vulnerable populations are involved. It also highlights institutional and operational challenges faced by ECs, such as time constraints, limited subject expertise, poor translation practices, and the difficulty of identifying unethical practices during protocol review. Additionally, it documents researchers' tendencies to prioritize scientific goals over participant welfare, sometimes engaging in misleading practices or failing to report adverse events or sample reuse. The data highlights the need for clearer guidelines, standard operating procedures (SOPs), and continuous ethical training for both researchers and EC members. Through rich verbatim quotes and layered coding, the dataset provides a nuanced understanding of how ethical dilemmas related to deception and partial disclosure unfold in real-world research oversight settings.
DOI: 10.17632/nrh5jhcwjh.1
title: Deception in research through partial disclosure: Exploring the Ethics Committee dilemma

description: The qualitative dataset titled "Deception in research through partial disclosure: Exploring the Ethics Committee dilemma" explores the ethical complexities surrounding the use of partial disclosure in human subjects research. Based on detailed interviews and thematic coding of responses from Ethics Committee (EC) members and stakeholders, the dataset captures diverse perspectives on when, why, and how partial disclosure is used, and the extent to which it is ethically permissible. Participants reflect on their awareness (or lack thereof) of the concepts of deception and partial disclosure, often conflating the two, and express uncertainty about their justifications and boundaries. The dataset reveals critical issues in informed consent processes, including miscommunication, incomplete disclosure, and the challenges of ensuring participant autonomy, particularly when vulnerable populations are involved. It also highlights institutional and operational challenges faced by ECs, such as time constraints, limited subject expertise, poor translation practices, and the difficulty of identifying unethical practices during protocol review. Additionally, it documents researchers' tendencies to prioritize scientific goals over participant welfare, sometimes engaging in misleading practices or failing to report adverse events or sample reuse. The data highlights the need for clearer guidelines, standard operating procedures (SOPs), and continuous ethical training for both researchers and EC members. Through rich verbatim quotes and layered coding, the dataset provides a nuanced understanding of how ethical dilemmas related to deception and partial disclosure unfold in real-world research oversight settings.
DOI: 10.17632/7zcp887z3t
title: Real-Time

description: This dataset contains RGB images of hand signs collected from multiple volunteers under varying lighting conditions and backgrounds using different smartphone cameras. Images were captured in both daylight and dim lighting at multiple angles, using default camera settings with automatic exposure. The dataset is divided into two sections: one for training a detection model (with annotated bounding boxes) and another for testing a recognition model. It is designed to support research in sign language detection and recognition, especially for Bangla hand signs.
DOI: 10.17632/7zcp887z3t.1
title: Real-Time

description: This dataset contains RGB images of hand signs collected from multiple volunteers under varying lighting conditions and backgrounds using different smartphone cameras. Images were captured in both daylight and dim lighting at multiple angles, using default camera settings with automatic exposure. The dataset is divided into two sections: one for training a detection model (with annotated bounding boxes) and another for testing a recognition model. It is designed to support research in sign language detection and recognition, especially for Bangla hand signs.
DOI: 10.17632/x5szmx67w8
title: Laboratory Dataset on Local Scour Around Complex RC Piers with Pile Groups

description: This dataset contains 336 clear-water experimental cases of local scour depth around complex reinforced concrete (RC) bridge piers supported by pile caps and pile groups. The data were compiled from multiple peer-reviewed laboratory studies and reflect a broad range of hydraulic, geometric, and sediment conditions representative of real-world bridge foundations. Each entry includes detailed parameters describing:
- Hydraulic conditions: flow velocity, water depth, flow duration, Froude number
- Sediment properties: median grain diameter, geometric standard deviation
- Pier column geometry: width, length, shape
- Pile cap configuration: width, length, height, shape, submergence level
- Pile group arrangement: number of piles, spacing, diameter, orientation relative to flow
- Measured scour depth: maximum equilibrium scour depth
The dataset also includes a set of derived dimensionless parameters based on Buckingham π-theorem, which were used in the machine learning analysis in the corresponding publication. These dimensionless variables enable model generalization across different scales and experimental setups.
This dataset supports the paper titled: “Optimizable Machine Learning Models for Accurate Prediction of Flood-Induced Local Scour Around Complex Reinforced-Concrete Piers”
(submitted to Proceedings of the Institution of Civil Engineers - Water Management, 2025)