cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3dmgrs
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "OccurrenceStatus is Present",
 "TaxonKey is Ammannia moggii (A.Fern.) S.A.Graham & Gandhi"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089403-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sx2man
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Minthea rugicollis (Walker, 1858)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089405-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6a5xj
title: Occurrence Download

description: A dataset containing 2473 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Cymus melanocephalus Fieber, 1861",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2473 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089406-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fer7zw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oreochromis karongae (Trewavas, 1941))",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089407-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ef84j6
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Rhyzopertha dominica (Fabricius, 1792)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 282 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089410-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r63hsu
title: Occurrence Download

description: A dataset containing 2829 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Cymus glandicolor Hahn, 1833",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2829 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089413-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26106/k003-5t41
title: IR spectra collected in rapid-scan mode for CH3OH and CO conversion within 10 min over mordenite catalyst

description: IR spectra collected in rapid-scan mode for methanol and CO contacted with mordenite catalyst for 10 min. The spectra are presented in the region of O-H stretching and C-H deformation regions
DOI: 10.5281/zenodo.3960538
title: Sourdine. French seventeenth-century verse tragedies for TXM

description: This dataset contains 49 French seventeenth-century tragedies in verse first performed between 1660 and 1695: All 11 tragedies by Racine as well as 38 contemporary tragedies by Thomas Corneille, Pierre Corneille, Boyer, Quinault, Pradon and Campistron. All plays have been received morphological annotation using Freeling and semantic annotation using WordNet. The dataset is available in a binary format for direct import into the TXM text analysis tool (sourdinewn.txm), as well as in the original, annotated XML format (sourdinewn.zip). A metadata table is also available (sourdinewn_metadata.csv). The texts were originally obtained from the "Théâtre classique" platform edited by Paul Fièvre.
DOI: 10.34740/kaggle/dsv/1371533
title: COVID-19 cases by Continent
DOI: 10.34740/kaggle/dsv/1371670
title: US counties COVID 19 dataset
DOI: 10.17632/4zvs6jwgdt.3
title: Partial melting of the lower oceanic crust: implications for tracing the slab component in the source of mid-ocean ridge basalts

description: 1. Six figures supplementary to this study; 2. Major and trace element composition data (14 tables) for this study; 3. ICP-SF-MS data quality file
DOI: 10.17632/pj6d526kzm.2
title: PYTHON code and MATLAB code for "Multi-fidelity Meta-optimization for Nature Inspired Optimization Algorithms"

description: (version 2) We add the MATLAB version (multi-fidelity-parameter-tuning-matlab.zip) , hoping researchers who program with MATLAB will find it helpful. The structure of the MATLAB code is: 1. Algorithm (Algorithm.m): 1.1 Basic Algorithm: 1.1.1 PSO.m 1.1.2 GWO.m 2.2 Multi-fidelity Parameter Tuning: 2.2.1 FidelityControlFunction.m 2.2.2 MFOptimizedNIO.m 2.2.2.1 MFOptimizedPSO.m 2.2.3 MFMetaGWO.m 2. Cost Function: 2.1 SphereFunc.m 2.2 CEC14Func.m 2.2.1 input_data 2.2.2 cec14_func.cpp 2.2.3 cec14_func.mexw64 3. Demo: 3.1 DemoMF.m One can run demo as follows: 1. Go into project root: `/multi-fidelity-parameter-tuning-matlab` 2. Run the following command in MATLAB window: ``` DemoMF ``` One can compile CEC 2014 as follows: Run the following command to create CEC 2014 library in MATLAB: ``` mex cec14_func.cpp -DWINDOWS ``` ----------- (version 1) The python code is used in the manuscript "Multi-fidelity Meta-optimization for Nature Inspired Optimization Algorithms" submitted to "Applied soft computing". The programming environment is: Python 3.6 or higher. The folders in the package include: 1. algorithms: Basic algorithms, including base class 'Algorithm' and [CS, DE, FOA, GWO, KH, PSO, SSA, WWO, WOA]. 2. applications: An engineering application: source term estimation. 3. benchmarks: Test functions, including base class 'Benchmark', basic test functions and 'CEC2014 Benchmark Suite'. 4. demo: Examples. 5. parameter_tuning: Multi-fidelity meta-NIOs and optimized-NIOs. If you prefer using the command line to run the program, please do not forget to manually add the working directory to 'sys.path'.
DOI: 10.17632/8zpt79rrkc.1
title: Data& Code for EL submission
DOI: 10.17632/hbwy6bn48n.1
title: Atrial fibrillation dogs

description: Atrial fibrillation data for short duration Holter analysis
DOI: 10.17632/8zpt79rrkc.2
title: Data& Code for EL submission
DOI: 10.17632/2c5ry76s8y.1
title: Data for "Mapping Organizational Culture Schemas Based on Correlational Class Analysis: A Tutorial" published by RAC-Revista de Administração Contemporânea

description: Context: organizational culture tends to be investigated based on organizational consensus degree, even when it is seen as shared meanings. However, sharing meanings does not imply having the same opinions. On the contrary, there may be agreement on which cultural elements are relevant, even when opinions differ from each other, a fact that enables individuals to share cultural schemas, although they disagree with each other’s answers. Objective: we aim to use a scale of organizational values adapted to the Brazilian context to map cultural schemas based on a survey conducted with 207 workers from different companies. Data: This database contains the original 55 items of the scale organizational values scale used in this tutorial, as well as the four dimensions extracted from exploratory factor analysis: Cooperative Professionalism; Hierarchical rigidity and competition; Employee satisfaction and appreciation; Meritocratic professionalism. In addition, there are data on: nature of firms; occupational status of employees; Correlational Classes (CCA). Method: recent advancements in the cultural cognition field have enabled the present tutorial article to map organizational culture schemas based on correlational class analysis. This method divides the sample into schematic classes by listing respondents based on the linear dependence between answers given to a questionnaire, rather than on agreement between respondents. Results: two different schematic classes (reactive and resilient) that condition the effect of attitudes and organizational structure on employee appreciation and satisfaction. Conclusions: besides providing a tutorial on how to use the investigated technique, the study points out its relevance for organizational culture field. Keywords: correlational class analysis, belief systems, shared meanings, organizational culture, cultural schemas, tutorial.
DOI: 10.17632/gtwtf3jjnx.1
title: Ng2 r/e 1.5-4.5 p/e=10 p'/p=0.4 e=2 mm

description: Nusselt number and friction factor determination using artificial roughness using broken arc rib with staggered element. Values of parameters are e=2 mm, p/e=10, p'/p=0.4, r/e=1.5-4.5, Number of gaps=2, Reynolds number range 3000-14000.
DOI: 10.17632/tb5gdzdvhx.1
title: Conserving workforce while temporarily rebalancing assembly lines under demand disruption

description: Paper's dataset with benchmark-based instances and obtained results.
DOI: 10.17632/kn726mznn3.1
title: F.Moribe_Supporting Dataset_20200718

description: The data for the figures in the manuscript
DOI: 10.17632/vn3spwfg52.2
title: Supplemental material for JAAD publication titled: Secukinumab treatment demonstrated high efficacy and safety in pediatric patients with moderate to severe plaque psoriasis: 24 Week results from a Phase III open-label, randomized, multicenter study

description: Supplemental material for JAAD publication titled: "Secukinumab treatment demonstrated high efficacy and safety in pediatric patients with moderate to severe plaque psoriasis: 24 Week results from a Phase III open-label, randomized, multicenter study" to be published in Journal of the American Academy of Dermatology
DOI: 10.17632/3dgtnm8j2t.1
title: Data for: An analytical workflow for seed-based correlation and independent component analysis in interventional resting-state fMRI studies.

description: Rs-fMRI data was acquired from 62 healthy adult (6–8 weeks old, 150–250 g) male Sprague Dawley rats under the effect of combined medetomidine-isoflurane anaesthesia (TE 11 ms and TR 1500 ms). Pre-processing of fMRI data included reorienting the brain into left-anterior-superior (LAS) axes (radiological view), skull-stripping, and upscaling the voxel sizes by a factor of 10. Single-session ICA was then carried out in FSL/MELODIC with the Gaussian kernel filter set to a full-width half maximum (FWHM) of 6.25 mm, a temporal high pass filter cut-off of 100 s and motion correction. FSL/FIX was manually trained by hand-labelling ICA’s decomposition of 60 datasets into signal or noise based on each component’s time-course, frequency, and spatial map. The trained weights training.RData file is provided here. The de-noised fMRI images were then coregistered to their respective T2-weighted images and normalised to a Sprague Dawley brain atlas. Multi-subject temporal concatenation group-ICA as implemented in FSL/MELODIC was carried out to identify functional network templates (provided here). These RSNs can be viewed by overlaying them on the brain atlas supplied. The use of an out-of-sample functional atlas is not recommended for rodent studies if study-specific variations are present. For example, the type and dose of anaesthetic used alter the relative localisation and strength of connectivity within specific networks and even the presence of some RSNs.
DOI: 10.17632/2khr7kh55m.2
title: Dataset for "Rewetting strategies to reduce nitrous oxide emissions from European peatlands"

description: N2O-N emissions from peatlands, soil bulk density and soil organic matter content
DOI: 10.17632/hbp35htzzm.2
title: Supplementary information: Cement Nanocomposites Containing Montmorillonite Nanosheets Modified with Surfactants of Various Chain Lengths

description: These documents are supplementary information as appendixes of "Cement Nanocomposites Containing Montmorillonite Nanosheets Modified with Surfactants of Various Chain Lengths". Appendix A. Supplementary data Appendix B. Response letter to reviewers
DOI: 10.17632/jw3czrychs.1
title: zone II aorta balloon occlusion

description: datas of the two groups
DOI: 10.17632/m3v6np4tn8.1
title: Teachers and Students' Perceptions about Social Media News and Online Teaching & Learning
DOI: 10.17632/3j55fmr86g.1
title: PSTGF: Time-independent R-matrix atomic electron-impact code

description: STGF is a community code employed for outer-region R-matrix calculations, describing electron-impact collisional processes. It is widely recognised that the original version of STGF was written by M.J. Seaton in 1983, but through constant refinement over the next decades by worldwide contributors has evolved into its current form that more reflects modern coding practice and current computer architectures. Despite its current wide acceptance, it was never formally published. Therefore, we present an updated high-performance parallel version of PSTGF, that balances the requirements of small university clusters, yet can exploit the computational power of cutting edge supercomputers. There are many improvements over the original STGF, but most noticeably, the full introduction of MQDT options that provide subsequent integration with ICFT (Intermediate Coupling Frame Transformation) codes, and for either Breit–Pauli/DARC (Dirac Atomic R-matrix Codes), better load balancing, high levels of vectorisation and simplified output. Semantically, the program is full Fortran 90 in conjunction with MPI (Message Passing Interface) though has CUDA Fortran options for the most numerically intensive code sections.
DOI: 10.17632/4t8z8vzyvs.2
title: varRhoTurbVOF 2: Modified OpenFOAM volume of fluid solvers with advanced turbulence modeling capability

description: varRhoTurbVOF contains a set of OpenFOAM volume of fluid (VOF) solvers for turbulent isothermal multiphase flows, which are variable-density incompressible. Unlike their official counterparts, where Favre-averaged and Reynolds-averaged velocities coexist in different equations, new solvers use Favre-averaged velocities consistently in all equations. This major update introduces three main improvements to the previous version of varRhoTurbVOF. First, the implementation is extended to VOF solvers for isothermal and non-isothermal phase change two-phase flows, where the flow is no longer incompressible. Second, in order to introduce backward compatibility and to avoid code duplication, the turbulence model construction procedure is redesigned such that solvers can determine whether the variable-density effect is considered or not in the turbulence modeling part based on the input file at run time. Third, the Egorov turbulence damping model for ω-based turbulence models is implemented with its most recent developments. Plus, an extension to ϵ-based turbulence models is developed and implemented.
DOI: 10.17632/bkt3ckwpvz.1
title: The Role of Sulfuric Acid in Continental Weathering: Insights from Dissolved major ions and inorganic carbon isotopes of the Teesta River, lower Brahmaputra system

description: Lithology, Hydrochemistry, Isotopic composition of Teesta River basin. And expected elemental and isotopic ratios for various weathering types
DOI: 10.17632/r3tbsgtpzg.1
title: CT Volume Samples for Lung Adenocarcinoma Classification

description: Major content: This dataset consists of lung adenocarcinoma samples locally cropped from 3D CT images. Samples are discriminated by 3 pathological categories, respectively Atypical Adenomatous Hyperplasia (AAH), Adenocarcinoma In Situ (AIS), and Minimally Invasive Adenocarcinoma (MIA). This dataset totally contains 21 samples of AAH, 444 samples of AIS, and 585 samples of MIA. Usage: Samples are stored with .npy files, as can be loaded in Python by the package of NumPy, and introduced in deep learning on the task of lung adenocarcinoma classification. Each sample is a 3D volume with 128*128*128 voxel resolution, where the lung adenocarcinoma is located at the center of the volume, and the volume can be cropped with any scale (e.g. 64*64*64) to fit the input size of 3D convolutional neural networks.
DOI: 10.17632/wnp3jnymvn.1
title: Resting-state EEG and ARSQ

description: Raw EEG data recorded during 10 min in 49 healthy volunteers and the descriptive table with age, sleepiness ratings (Epworth sleepiness scale -ESS, Stanford sleepiness scale -SSS, and the visual analog of sleepiness scale- VASS), and 10 dimensions of Amsterdam Resting-State Questionnaire (ARSQ)
DOI: 10.17632/4g45j835vw.1
title: The data file to Shvydka et al, 2020. Patterns of monogenean abundance in native and invasive populations of Planiliza haematocheila (Teleostei: Mugilidae): interactions between climate and host defence mechanisms explain parasite release

description: Abundance data of Ligophorus llewellyni from the pacific so-iuy mullet, Planiliza haematocheila, in the Azov and Japan Seas with information on locality, month, season, year, host total length (TL), weight (W) and relative host condition (Krelative).
DOI: 10.17632/6gycw7vrww.2
title: Flood2Topo dataset

description: This data set contains the topographic maps and water level-area-active storage relationships of ​​12 Brazilian reservoirs and 2 natural lakes estimated by Flood2Topo. Fassoni‐Andrade, A. C., Paiva, R. C. D., & Fleischmann, A. S. (2020). Lake topography and active storage from satellite observations of flood frequency. Water Resources Research, 56(7). https://doi.org/10.1029/2019wr026362
DOI: 10.17632/sktz4xv4vh.3
title: Media Use Pattern with Respect to Mental Health in COVID-19: A Dataset from India

description: The purpose of the study is to fill a void how media as a whole (including social and electronic media) has been impacted the mental health of Indian people in terms of growing anxiety and mental well-being.Thus the research questions addressed in the study are- 1. Is there any relationship between media use pattern with mental Well-being and Anxiety? 2. How the demographic attributes do associated with mental Well-being and Anxiety? Data collection: The researchers here conducted a web based cross sectional survey to assess the psychological impact of COVID-19 on the Indian public. The Data was gathered after three weeks of commencement of lock down in India from 426 respondents through snowball sampling. Media use pattern: There were ten structured validated items regarding the information and news about COVID-19 perspective. Depending upon the hour of exposer to the media, the respondents were categorised in to three group subsequently High (≥9 hrs.), Medium (7-8 hrs.) and Low (≤6 hrs.)Media user. Mental Well-Being Scale: Warwick-Edinburgh Mental Well-Being Scale (NHS Health Scotland, University of Warwick and University of Edinburgh, 2006) was used to collect data about the status of mental well-being. It was a 5 point Likert type scale having 14 items. The summated score of the respondent is used as mental well-being score. It is also classified as high (Score&gt;56), medium (Score 47-56) and low (score&lt;47) mental well-being. Mental Anxiety Scale Beck Anxiety Inventory (BAI) Scale (Beck et al., 1988) was applied to collect the information regarding anxiety level. It was a 4 point Likert scale having 21 items. The summated score of the respondent is also used as mental anxiety score. It is also classified as high (Score&gt;35), medium (Score 22-35 ) and low (score&lt;22) mental anxiety. Data Analysis: The demographic characteristics here include age (young, middle & old); gender (male & female); habitat (rural, urban municipality & metropolitan city); and educational qualification (undergraduate or below, postgraduate & above postgraduate). The data showed that there is significant negative relationship exists between of respondent’s media use and mental wellbeing status, and significant positive relationship exists between media use of respondents’ mental anxiety. Any researcher may use the data to test the association between demographic variables with media user pattern, mental well-being and mental anxiety. The data might be helpful for the psychologist and policy makers to make decision about mental health condition during COVID-19 crisis both in and outside of India.
DOI: 10.17632/tfjdmt3hvm.1
title: Flexibility of dynamic blending with alternative routings combined with security stocks: a new approach in a mining supply chain

description: In the OCP phosphate supply chain, source ores (SOs) are extracted according to a tactical extraction program, constrained by geological conditions that constantly limit and modify the variety of available SOs. Then SOs are blended to get merchantable ores (MOs) respecting composition constraints and ordered by internal (phosphoric acid plant) or external (export) customers. The blending process is performed in a dry blending plant, possibly followed by treatments in a washing plant which modifies the weight and composition of the product. The choice of alternative routings and blends depends on orders book and SOs availability in the dry blending area or present on mine. To improve the performance in meeting a rolling 4-weeks orders book, a quadratic model was created and implemented. It optimises jointly: i) for each order, the routing and the SOs quantities used in the dry blending plant; ii) the SOs quantities transferred from the mine; iii) security stocks to face some unforeseen change in the MO book order, and the slight instability of the SO chemical composition that triggers a SO multiplication to be contained. The performance of the linearised model has led the relevant OCP site to develop and use an extended version of this model.
DOI: 10.17632/r3tbsgtpzg.2
title: CT Volume Samples for Lung Adenocarcinoma Classification

description: Major content: This dataset consists of lung adenocarcinoma samples locally cropped from 3D CT images. Samples are discriminated by 3 pathological categories, respectively Atypical Adenomatous Hyperplasia (AAH), Adenocarcinoma In Situ (AIS), and Minimally Invasive Adenocarcinoma (MIA). This dataset totally contains 21 samples of AAH, 444 samples of AIS, and 585 samples of MIA. Usage: Samples are stored with .npy files, as can be loaded in Python by the package of NumPy, and introduced in deep learning on the task of lung adenocarcinoma classification. Each sample is a 3D volume with 128*128*128 voxel resolution, where the lung adenocarcinoma is located at the center of the volume, and the volume can be cropped with any scale (e.g. 64*64*64) to fit the input size of 3D convolutional neural networks.