cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21388899.v1
title: Diversity, Equity, and Inclusion in the United States Emergency Medical Services Workforce: A Scoping Review

description: Emergency medical services (EMS) workforce demographics in the United States do not reflect the diversity of the population served. Despite some efforts by professional organizations to create a more representative workforce, little has changed in the last decade. This scoping review aims to summarize existing literature on the demographic composition, recruitment, retention, and workplace experience of underrepresented groups within EMS. Peer-reviewed studies were obtained from a search of PubMed, CINAHL, Web of Science, ProQuest Thesis and Dissertations, and non-peer-reviewed (“gray”) literature from 1960 to present. Abstracts and included full-text articles were screened by two independent reviewers trained on inclusion/exclusion criteria. Studies were included if they pertained to the demographics, training, hiring, retention, promotion, compensation, or workplace experience of underrepresented groups in United States EMS by race, ethnicity, sexual orientation, or gender. Studies of non-EMS fire department activities were excluded. Disputes were resolved by two authors. A single reviewer screened the gray literature. Data extraction was performed using a standardized electronic form. Results were summarized qualitatively. We identified 87 relevant full-text articles from the peer-reviewed literature and 250 items of gray literature. Primary themes emerging from peer-reviewed literature included workplace experience (n = 48), demographics (n = 12), workforce entry and exit (n = 8), education and testing (n = 7), compensation and benefits (n = 5), and leadership, mentorship, and promotion (n = 4). Most articles focused on sex/gender comparisons (65/87, 75%), followed by race/ethnicity comparisons (42/87, 48%). Few articles examined sexual orientation (3/87, 3%). One study focused on telecommunicators and three included EMS physicians. Most studies (n = 60, 69%) were published in the last decade. In the gray literature, media articles (216/250, 86%) demonstrated significant industry discourse surrounding these primary themes. Existing EMS workforce research demonstrates continued underrepresentation of women and nonwhite personnel. Additionally, these studies raise concerns for pervasive negative workplace experiences including sexual harassment and factors that negatively affect recruitment and retention, including bias in candidate testing, a gender pay gap, and unequal promotion opportunities. Additional research is needed to elucidate recruitment and retention program efficacy, the demographic composition of EMS leadership, and the prevalence of racial harassment and discrimination in this workforce.
DOI: 10.6084/m9.figshare.19193111.v2
title: Performance of Prehospital Use of Chest Pain Risk Stratification Tools: The RESCUE Study

description: Emergency medical services (EMS) assesses millions of patients with chest pain each year. However, tools validated to risk stratify patients for acute coronary syndrome (ACS) and pulmonary embolism (PE) have not been translated to the prehospital setting. The objective of this study is to assess the prehospital performance of risk stratification scores for 30-day major adverse cardiac events (MACE) and PE. A prospective observational cohort study of patients ≥21 years of age with acute chest pain who were transported by EMS in two North Carolina (NC) counties was conducted from 18 April 2018–2 January 2019. In this convenience sample, paramedics completed HEAR (history, electrocardiogram, age, risk factor), ED Assessment of Chest Pain Score (EDACS), Revised Geneva Score (RGS), and pulmonary embolism rule-out criteria (PERC) assessments on each patient. MACE (all-cause death, myocardial infarction, and revascularization) and PE at 30 days were determined by hospital records and NC Death Index. The positive (+LR) and negative likelihood ratios (−LR) of the risk scores for 30-day MACE and PE were calculated. During the study period, 82.1% (687/837) patients had all four risk score assessments. The cohort was 51.1% (351/687) female, 49.5% (340/687) African American, and had a mean age of 55.0 years (SD 16.0). At 30 days, MACE occurred in 7.4% (51/687), PE occurred in 0.9% (6/687), and the combined outcome occurred in 8.2% (56/687). The HEAR score had a − LR of 0.46 (95% CI 0.27–0.78) and + LR of 1.48 (95% CI 1.26–1.74) for 30-day MACE. EDACS had a − LR of 0.61 (95% CI 0.46–0.81) and + LR of 2.53 (95% CI 1.86–3.46) for 30-day MACE. The PERC score had a − LR of 0 (95% CI 0.0–1.4) and a + LR of 1.38 (95% CI 1.32–1.45) for 30-day PE. The RGS score had a − LR of 0 (95% CI 0.0–0.65) and a + LR of 2.36 (95% CI 2.16–2.57) for 30-day PE. The combination of a low-risk HEAR score and negative PERC evaluation had a − LR of 0.25 (95% CI 0.08–0.76) and a + LR of 1.21 (95% CI 1.21–1.30) for 30-day MACE or PE. The combination of a paramedic-obtained HEAR score and PERC evaluation performed best to exclude 30-day MACE and PE but was not sufficient for directing prehospital decision making.
DOI: 10.6084/m9.figshare.19762967
title: Urban growth modelling in Qazvin, Iran: an investigation into the performance of three ANFIS methods

description: Determining the rules that lead to the expansion of urban areas has always been a challenging factor in urban modeling. To overcome this issue, an ANFIS model is proposed to enhance the simulation of urban growth through automatic production of transition rules. Hence, 22 ANFIS models were trained using different division methods and a Cellular Automata-based Markov Chain (CA-MC) was developed to examine their efficiencies. The results of accuracies reveal that the ANFIS accompanied by subtractive clustering (ANFIS-SC) simulating urban growth with a Kappa coefficient of 0.76 and overall accuracy of 93.41% is superior to other ANFIS and CA-MC models.
DOI: 10.6084/m9.figshare.20290738
title: Hyperspectral images classification based on multiple kernel learning using SWT and KMNF with few training samples

description: In this paper, a new techniquebased on Multiple kernel learning (MKL) with just a few training samples is proposed for HSI classification utilising stationary wavelet transform (SWT) and kernel minimal noise fraction (KMNF). 2D-SWT is applied to each spectral band to discriminate spatial information, and feature sets are created by concatenating wavelet bands. The base kernels associated with each feature set are constructed, and the optimum kernel for maximum separability is learned. The experimental results indicate that the suggested approach provides high accuracy with a low number of training samples and outperforms state-of-the-art MKL-based classifiers with no increase in computing complexity.
DOI: 10.6084/m9.figshare.19762967.v1
title: Urban growth modelling in Qazvin, Iran: an investigation into the performance of three ANFIS methods

description: Determining the rules that lead to the expansion of urban areas has always been a challenging factor in urban modeling. To overcome this issue, an ANFIS model is proposed to enhance the simulation of urban growth through automatic production of transition rules. Hence, 22 ANFIS models were trained using different division methods and a Cellular Automata-based Markov Chain (CA-MC) was developed to examine their efficiencies. The results of accuracies reveal that the ANFIS accompanied by subtractive clustering (ANFIS-SC) simulating urban growth with a Kappa coefficient of 0.76 and overall accuracy of 93.41% is superior to other ANFIS and CA-MC models.
DOI: 10.5281/zenodo.10407052
title: IODP Expedition 383 Section summary

description: Report includes data for individual core sections: coring/drilling depths and recovery, database identifiers for the whole section and section halves, and number of samples taken from the section before and after splitting.
DOI: 10.5281/zenodo.10407053
title: IODP Expedition 383 Section summary

description: Report includes data for individual core sections: coring/drilling depths and recovery, database identifiers for the whole section and section halves, and number of samples taken from the section before and after splitting.
DOI: 10.6084/m9.figshare.22561213
title: Perceptual integration of bodily and facial emotion cues in chimpanzees and humans

description: The data contains eye behavior of humans and chimpanzees (first fixation and looking time) towards congruent and incongruent facial expressions in relation to bodily movements of conspecifics in social scenes of differing valence (playful, fearful, neutral). The uploaded materials further contain documents relevant to the R code and to reproduce the analyses of our submitted paper.
DOI: 10.6084/m9.figshare.22561213.v1
title: Perceptual integration of bodily and facial emotion cues in chimpanzees and humans

description: The data contains eye behavior of humans and chimpanzees (first fixation and looking time) towards congruent and incongruent facial expressions in relation to bodily movements of conspecifics in social scenes of differing valence (playful, fearful, neutral). The uploaded materials further contain documents relevant to the R code and to reproduce the analyses of our submitted paper.
DOI: 10.6084/m9.figshare.24004182
title: A Database of Thermally Activated Delayed Fluorescent Molecules Auto-generated from Scientific Literature with ChemDataExtractor

description: Master and subsidiary databases that contain data records of four TADF-relevant properties (figshare_std_value_exp_flag.zip)BERT-based language model for the associated paper (exp_theory_stsplit_classifer.pth)Bespoke TADF-specific version of ChemDataExtractor codebase (chemdataextractorTADF-main)
DOI: 10.5281/zenodo.10058381
title: Representative PDE Benchmarks (RPB) - Convolutional Neural Operators for robust and accurate learning of PDEs

description: Representative PDE Benchmarks (RPB)

We made the datasets as clean as we could. It is now clear which datasets correspong to in-distribution and out-of-distributions testings. Please read our BLOG!

There are 8 benchmarks that we considered:



Poisson Equation

Wave Equation

Smooth Transport

Discontinuous Transport

Allen-Cahn Equation

Navier-Stokes Equations

Darcy Flow

Compressible Euler Equations


REMARK: DO NOT USE __MACOSX FILES, BUT THE .H5 ONES! 

 

Please refer to out github page to get the script that loads the datasets: 



https://github.com/bogdanraonic3/ConvolutionalNeuralOperator/tree/main 


 

Please let us know if there are mistakes in the data (email: braonic@student.ethz.ch)
DOI: 10.5281/zenodo.10058382
title: Convolutional Neural Operators for robust and accurate learning of PDEs - datasets

description: We made the datasets as clean as we could. It is now clear which data sets correspong to in-distribution and out-of-distributions testings.
 
Please refer to out github page to get the script that loads the datasets: 

https://github.com/bogdanraonic3/ConvolutionalNeuralOperator/tree/main 
 
We also added additional datasets corresponding to Darcy flow (it was not there in the previous version).
DOI: 10.5281/zenodo.10406879
title: Representative PDE Benchmarks (RPB) - Convolutional Neural Operators for robust and accurate learning of PDEs

description: Representative PDE Benchmarks (RPB)

We made the datasets as clean as we could. It is now clear which datasets correspong to in-distribution and out-of-distributions testings. Please read our BLOG!

There are 8 benchmarks that we considered:



Poisson Equation

Wave Equation

Smooth Transport

Discontinuous Transport

Allen-Cahn Equation

Navier-Stokes Equations

Darcy Flow

Compressible Euler Equations


REMARK: DO NOT USE __MACOSX FILES, BUT THE .H5 ONES! 

 

Please refer to out github page to get the script that loads the datasets: 



https://github.com/bogdanraonic3/ConvolutionalNeuralOperator/tree/main 


 

Please let us know if there are mistakes in the data (email: braonic@student.ethz.ch)
DOI: 10.5281/zenodo.10406617
title: tetramethylammonium chloride molecular dynamics simulations

description: Simulation data used for the publication: "Hydration of biologically relevant tetramethylammonium cation by neutron scattering and molecular dynamics".

Gromacs FFMD simulations:



center-bead

center-N

charmm

lowCHdipole

neopentane_plumed

surface-H


AIMD simulation:



TMA_64H2O_AIMD_revPBED3_production_trajs
DOI: 10.5281/zenodo.10406618
title: tetramethylammonium chloride molecular dynamics simulations

description: Simulation data used for the publication: "Hydration of biologically relevant tetramethylammonium cation by neutron scattering and molecular dynamics".

Gromacs FFMD simulations:



center-bead

center-N

charmm

lowCHdipole

neopentane_plumed

surface-H


AIMD simulation:



TMA_64H2O_AIMD_revPBED3_production_trajs
DOI: 10.21223/cplmaq
title: Dataset for: Selected Peruvian Phytophthora infestans isolates - CIP collection

description: This database contains information about a carefully selected set of 205 Phytophthora infestans isolates from Peru. These isolates are preserved in liquid nitrogen and include comprehensive data on field characteristics, phenotypic traits (such as mating type, resistance to metalaxyl, and virulence), and genotypic characteristics (including alloenzymes, mtDNA, and SSR alleles) of the isolates. Understanding the structure of the P. infestans population is crucial for managing the disease effectively. This understanding aids in comprehending the diversity and distribution of the pathogen, as well as its correlation with potato production in Peru. Furthermore, it serves as a foundational element in monitoring changes within P. infestans populations and assessing the associated risks for potato cultivation, especially under the influence of global warming.
DOI: 10.21223/cplmaq/5bbs9n
title: 02_Data_dictionary_collection.xlsx

description: :unav
DOI: 10.21223/cplmaq/w6b1dn
title: 01_Data_collection_isolation_cip.tab

description: :unav
DOI: 10.5281/zenodo.10118945
title: Experimental data for "Exact inversion of partially coherent dynamical electron scattering for picometric structure retrieval"
DOI: 10.5281/zenodo.10118946
title: Experimental data for "Exact inversion of partially coherent dynamical electron scattering for picometric structure retrieval"
DOI: 10.6084/m9.figshare.24867267
title: ME91377

description: The micro-CT image was segmented with cubic porosity recipe (watershed) in PerGeos software.
DOI: 10.6084/m9.figshare.24867267.v1
title: ME91377

description: The micro-CT image was segmented with cubic porosity recipe (watershed) in PerGeos software.
DOI: 10.6084/m9.figshare.24867252
title: ME90583

description: The micro-CT image was segmented with cubic porosity recipe (watershed) in PerGeos software.
DOI: 10.6084/m9.figshare.24867252.v1
title: ME90583

description: The micro-CT image was segmented with cubic porosity recipe (watershed) in PerGeos software.
DOI: 10.6084/m9.figshare.24867258.v1
title: ME91355

description: The micro-CT image was segmented with cubic porosity recipe (watershed) in PerGeos software.
DOI: 10.6084/m9.figshare.24867258
title: ME91355

description: The micro-CT image was segmented with cubic porosity recipe (watershed) in PerGeos software.
DOI: 10.6084/m9.figshare.24867243
title: ME91371

description: The micro-CT image was segmented with cubic porosity recipe (watershed) in PerGeos software.
DOI: 10.6084/m9.figshare.24867243.v1
title: ME91371

description: The micro-CT image was segmented with cubic porosity recipe (watershed) in PerGeos software.
DOI: 10.6084/m9.figshare.24867270
title: ME91368

description: The micro-CT image was segmented with cubic porosity recipe (watershed) in PerGeos software.
DOI: 10.6084/m9.figshare.24867270.v1
title: ME91368

description: The micro-CT image was segmented with cubic porosity recipe (watershed) in PerGeos software.
DOI: 10.6073/pasta/4cf8f0db83783b71f7ee001d794e0016
title: Gap-filled Meteorological Data for the Virginia Coast Reserve LTER - 1989-2022

description: This is a gap-filled dataset of the VCR-LTER meteorological sensor data on a daily level. It includes the csv of the generated data, as well as the R script used to generate it.
DOI: 10.5517/ccdc.csd.cc2cq66j
title: CSD 2196077: Experimental Crystal Structure Determination

description: Related Article: Lihan Deng, Mengfan Wu, Zhihua Yang, Shujuan Han, Shilie Pan|2022|Inorg.Chem.|61|18238|doi:10.1021/acs.inorgchem.2c03068
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2ckq2r
title: CSD 2191764: Experimental Crystal Structure Determination

description: Related Article: Spartak S. Yarovoy, Mariia Ivanova, Taisiya S. Sukhikh, Maxim R. Ryzhikov, Vladimir E. Fedorov, Nikolay G. Naumov|2022|Inorg.Chem.|61|20472|doi:10.1021/acs.inorgchem.2c03178
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2cpz57
title: CSD 2195859: Experimental Crystal Structure Determination

description: Related Article: Simon R. Larsen, Vitalii Shtender, Daniel Hedlund, Erna K. Delczeg-Czirjak, Premysl Beran, Johan Cedervall, Alena Vishina, Thomas C. Hansen, Heike C. Herper, Peter Svedlindh, Olle Eriksson, Martin Sahlberg|2022|Inorg.Chem.|61|17673|doi:10.1021/acs.inorgchem.2c02758
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2cwgj8
title: CSD 2201140: Experimental Crystal Structure Determination

description: Related Article: Spartak S. Yarovoy, Mariia Ivanova, Taisiya S. Sukhikh, Maxim R. Ryzhikov, Vladimir E. Fedorov, Nikolay G. Naumov|2022|Inorg.Chem.|61|20472|doi:10.1021/acs.inorgchem.2c03178
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2cx77s
title: CSD 2201875: Experimental Crystal Structure Determination

description: Related Article: A.A. Gippius, A.V. Tkachev, S.V. Zhurenko, A.V. Gunbin, E.I. Demikhov, C.-N. Kuo, C.-S. Lue, N.-Q. Nguyen, C.-W. Luo, V.N. Khrustalev, R.D. Svetogorov, M.S. Likhanov, A.V. Shevelkov|2023|J.Alloys Compd.|938|168522|doi:10.1016/j.jallcom.2022.168522
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2cx78t
title: CSD 2201876: Experimental Crystal Structure Determination

description: Related Article: A.A. Gippius, A.V. Tkachev, S.V. Zhurenko, A.V. Gunbin, E.I. Demikhov, C.-N. Kuo, C.-S. Lue, N.-Q. Nguyen, C.-W. Luo, V.N. Khrustalev, R.D. Svetogorov, M.S. Likhanov, A.V. Shevelkov|2023|J.Alloys Compd.|938|168522|doi:10.1016/j.jallcom.2022.168522
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2cx79v
title: CSD 2201877: Experimental Crystal Structure Determination

description: Related Article: A.A. Gippius, A.V. Tkachev, S.V. Zhurenko, A.V. Gunbin, E.I. Demikhov, C.-N. Kuo, C.-S. Lue, N.-Q. Nguyen, C.-W. Luo, V.N. Khrustalev, R.D. Svetogorov, M.S. Likhanov, A.V. Shevelkov|2023|J.Alloys Compd.|938|168522|doi:10.1016/j.jallcom.2022.168522
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2cx7bw
title: CSD 2201878: Experimental Crystal Structure Determination

description: Related Article: A.A. Gippius, A.V. Tkachev, S.V. Zhurenko, A.V. Gunbin, E.I. Demikhov, C.-N. Kuo, C.-S. Lue, N.-Q. Nguyen, C.-W. Luo, V.N. Khrustalev, R.D. Svetogorov, M.S. Likhanov, A.V. Shevelkov|2023|J.Alloys Compd.|938|168522|doi:10.1016/j.jallcom.2022.168522
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2cx7cx
title: CSD 2201879: Experimental Crystal Structure Determination

description: Related Article: A.A. Gippius, A.V. Tkachev, S.V. Zhurenko, A.V. Gunbin, E.I. Demikhov, C.-N. Kuo, C.-S. Lue, N.-Q. Nguyen, C.-W. Luo, V.N. Khrustalev, R.D. Svetogorov, M.S. Likhanov, A.V. Shevelkov|2023|J.Alloys Compd.|938|168522|doi:10.1016/j.jallcom.2022.168522
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2cx7dy
title: CSD 2201880: Experimental Crystal Structure Determination

description: Related Article: A.A. Gippius, A.V. Tkachev, S.V. Zhurenko, A.V. Gunbin, E.I. Demikhov, C.-N. Kuo, C.-S. Lue, N.-Q. Nguyen, C.-W. Luo, V.N. Khrustalev, R.D. Svetogorov, M.S. Likhanov, A.V. Shevelkov|2023|J.Alloys Compd.|938|168522|doi:10.1016/j.jallcom.2022.168522
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.