cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4kmn36rr3y.1
title: Sustainable Management Publication Dataset (1992-2019)

description: The sustainable management reseach & publication dataset, subject area of business-management-accounting and economics-econometrics-finance, which was indexed by Scopus from 1992 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/j7hp5tmcr7.1
title: Extreme Temperature and Dew Point Events in North America

description: This dataset is the compilation of four different seasonally-relative extreme events for North America: extreme warm events (XWEs), extreme cold events (XCEs), extreme humid events (XHEs), and extreme dry events (XDEs). Each of these extreme events are calculated on a daily basis from 1979-2016 for 18,661 locations in North America. All extremes are relative to the time of year - essentially a seasonal curve of the 95th and 5th percentiles of the data at each location were created, and days that had 2-meter temperatures (or 2-meter dew points) that were &gt;95th percentile were deemed XWEs (or XHEs for dew points), and days that were &lt;5th percentile were considered XCEs (or XDEs for dew points). The article detailing the development of this dataset is: Lee, CC, Obarein O, Sheridan SC, Smith ET, Adams R. 2020. Examining trends in multiple parameters of seasonally-relative extreme temperature and dew point events across North America (Manuscript currently in peer review). Each dataset is organized as follows: The first two rows are column headers showing the latitude and longitude of the 18,661 land-based gridpoints (from the North American Regional Reanalysis dataset) in the study domain (23°N to 83°N, 46°W to 167°W). The first three columns are row headers showing date information (year, month, and day) for each day in the study period. The rest of the data are binaries (0 or 1) signifying whether each day is an extreme event day (1) or not an extreme event day (0) for each location. The four datasets (one for each type of extreme event) are in a single compressed (.zip) folder and each dataset/file is in comma separated value format (uncompressed size of each file is approximately 506MB). The research leading to the development of this dataset was supported by federal award number NA17OAR4310159, entitled “Developing extreme event climate change indicators related to human thermal comfort” from the National Oceanic and Atmospheric Administration’s Climate Program Office.
DOI: 10.7281/t1/1ecvb0/1gxyj3
title: DustOn-monthly-average_wrfout_d01_2003-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/8ux3qm
title: DustOff-monthly-average_wrfout_d01_2015-09_12_mean.nc
DOI: 10.7281/t1/1ecvb0/br5r29
title: DustOn-monthly-average_wrfout_d01_2003-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/bxbipk
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-04_00_std.nc
DOI: 10.7281/t1/1ecvb0/cw95zk
title: DustOn-monthly-average_wrfout_d01_2003-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/eisa47
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-04_12_std.nc
DOI: 10.7281/t1/1ecvb0/ffsk2j
title: DustOff-monthly-average_wrfout_d01_2015-03_00_mean.nc
DOI: 10.7281/t1/1ecvb0/frukb2
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-09_00_std.nc
DOI: 10.7281/t1/1ecvb0/gkrv2w
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-05_06_std.nc
DOI: 10.7281/t1/1ecvb0/hjwim6
title: DustOff-monthly-average_wrfout_d01_2015-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/hyod1c
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-05_18_std.nc
DOI: 10.7281/t1/1ecvb0/kfkabi
title: DustOff-monthly-average_wrfout_d01_2015-06_00_mean.nc
DOI: 10.7281/t1/1ecvb0/kh7ynj
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-10_12_std.nc
DOI: 10.7281/t1/1ecvb0/l2wpkh
title: DustOff-monthly-average_wrfout_d01_2015-07_06_mean.nc
DOI: 10.7281/t1/1ecvb0/n4iybp
title: DustOff-monthly-average_wrfout_d01_2015-10_12_mean.nc
DOI: 10.7281/t1/1ecvb0/nvkyiz
title: DustOn-monthly-average_wrfout_d01_2004-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/ofdyvo
title: DustOn-monthly-average_wrfout_d01_2003-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/pni9wi
title: DustOn-monthly-average_wrfout_d01_2003-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/poindd
title: DustOff-monthly-average_wrfout_d01_2015-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/qm1hhe
title: DustOn-monthly-average_wrfout_d01_2003-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/qososq
title: DustOff-monthly-average_wrfout_d01_2015-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/sxg7w1
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-08_18_std.nc
DOI: 10.7281/t1/1ecvb0/vhtukx
title: DustOn-monthly-average_wrfout_d01_2003-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/xdoblf
title: DustOn-monthly-average_wrfout_d01_2003-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/ysgmxv
title: DustOff-monthly-average_wrfout_d01_2015-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/zdghlc
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-10_00_std.nc
DOI: 10.17632/cnbf9k3m57.1
title: A Study on Green Marketing Practices in India

description: Today the sector has emerged as the first degree, and we are shifting ahead with the common motive of shielding the surroundings and attaining sustainable improvement. The new marketing philosophy is getting stronger some of the hundreds, and this mindset of the clients has forced the enterprise fraternity to rethink and plan their techniques to do their businesses in a more revolutionary and environmentally pleasant way. This paper targeted some critiques of green marketing and advertising, idea, new green projects in India and unique advertising blend. This paper moreover highlighted the destiny prospects of Green marketing in India. Keywords: Green Marketing- Practices- Marketing Mix.
DOI: 10.17632/fr8wy3fpyz.1
title: Íntegra das fake news das eleições de 2018 no Brasil

description: O presente banco de dados reúne 346 histórias sobre as eleições majoritárias de 2018 no Brasil que foram consideradas fake news pelos principais projetos de fact-checking nacionais. Todas as histórias aqui sistematizadas, portanto, foram classificadas como informações falsas por pelo menos uma das seguintes iniciativas: Aos Fatos, Boatos.org, Comprova, Fato ou Fake e Lupa. Essas narrativas estiveram em circulação em plataformas de mídias sociais nos últimos três meses das campanhas eleitorais, de agosto a outubro de 2018. Deste total, 56 foram desmentidas em agosto, 100 em setembro e 190 em outubro. Esse conjunto de dados foi usado para parte da análise da tese de doutorado “Fake news na eleição presidencial de 2018 no Brasil”, de autoria de Tatiana Dourado, e ampliado pelo Instituto Nacional de Ciência e Tecnologia em Democracia Digital (INCT.DD) para uso da comunidade acadêmica, do jornalismo profissional e de autoridades competentes. No banco de dados, ainda em versão beta, o pesquisador poderá encontrar o conteúdo da peça de fake news na íntegra, além do título atribuído a cada uma dessas histórias e o período em que ela circulou.
DOI: 10.17632/k9b7rwyrfb.1
title: Presence of CD3+ and CD79a+ lymphocytes in the pituitary gland of dogs at post mortem examination

description: Dataset accompanying the paper "Presence of CD3+ and CD79a+ lymphocytes in the pituitary gland of dogs at post mortem examination". The dataset consists of a comma-separated values (CSV) file with data from 20 dogs recruited at routine necropsy to investigate presence and distribution of lymphocytes in pituitary glands in dogs with no suspicion of pituitary disease. The pituitary glands were collected at the Section of Pathology, Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Uppsala, from November 2013 to February 2014, and April 2017 to September 2017. Formalin-fixed paraffin-embedded pituitary sections were stained with haematoxylin and eosin (H&E) or subjected to immunohistochemistry (IHC) using primary antibodies specific for the T-cell marker CD3 and B-cell marker CD79a. The number of CD3+ and CD79a+ cells per area unit (CPA, cells/mm²) was determined for different pituitary regions: pars tuberalis (PT), pars distalis (PD), pars intermedia (PI), infundibulum (In), and lobus nervosus (LN). The dataset contains information about: • Identification and signalement — fields: ID, Breed, Age (years of age at necropsy), Sex, Neutering status • Concurrent pathological findings — field: Necropsy diagnosis (multiple diagnoses are separated by semicolon) • Morphologic changes in the pituitary gland — fields: Pituitary lesion, Pituitary lesion group (No, Limited or Extensive lesion) • Number of CD3+ CPA (cells/mm²) in each pituitary region* — fields: PT CD3 CPA, PD CD3 CPA, PI CD3 CPA, In CD3 CPA, LN CD3 CPA • Number of CD79a+ CPA (cells/mm²) in each pituitary region* — fields: PT CD79a CPA, PD CD79a CPA, PI CD79a CPA, In CD79a CPA, LN CD79a CPA ____________ *PT, pars tuberalis; PD, pars distalis; PI, pars intermedia; In, infundibulum; LN, lobus nervosus
DOI: 10.17632/k9b7rwyrfb.2
title: Presence of CD3+ and CD79a+ lymphocytes in the pituitary gland of dogs at post mortem examination

description: Dataset accompanying the paper "Presence of CD3+ and CD79a+ lymphocytes in the pituitary gland of dogs at post mortem examination". The dataset consists of a comma-separated values (CSV) file with data from 20 dogs recruited at routine necropsy to investigate presence and distribution of lymphocytes in pituitary glands in dogs with no suspicion of pituitary disease. The pituitary glands were collected at the Section of Pathology, Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Uppsala, from November 2013 to February 2014, and April 2017 to September 2017. Formalin-fixed paraffin-embedded pituitary sections were stained with haematoxylin and eosin (H&E) or subjected to immunohistochemistry (IHC) using primary antibodies specific for the T-cell marker CD3 and B-cell marker CD79a. The number of CD3+ and CD79a+ cells per area unit (CPA, cells/mm²) was determined for different pituitary regions: pars tuberalis (PT), pars distalis (PD), pars intermedia (PI), infundibulum (In), and lobus nervosus (LN). The dataset contains information about: • Identification and signalement — fields: ID, Breed, Age (years of age at necropsy), Sex, Neutering status • Concurrent pathological findings — field: Necropsy diagnosis (multiple diagnoses are separated by semicolon) • Morphologic changes in the pituitary gland — fields: Pituitary lesion, Pituitary lesion group (No, Limited or Extensive lesion) • Number of CD3+ CPA (cells/mm²) in each pituitary region* — fields: PT CD3 CPA, PD CD3 CPA, PI CD3 CPA, In CD3 CPA, LN CD3 CPA • Number of CD79a+ CPA (cells/mm²) in each pituitary region* — fields: PT CD79a CPA, PD CD79a CPA, PI CD79a CPA, In CD79a CPA, LN CD79a CPA ____________ *PT, pars tuberalis; PD, pars distalis; PI, pars intermedia; In, infundibulum; LN, lobus nervosus
DOI: 10.7281/t1/1ecvb0/1ij141
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-06_18_std.nc
DOI: 10.7281/t1/1ecvb0/24umbp
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-06_06_std.nc
DOI: 10.7281/t1/1ecvb0/awwrsl
title: DustOn-monthly-average_wrfout_d01_2004-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/dlaxk4
title: DustOn-monthly-average_wrfout_d01_2004-03_06_mean.nc
DOI: 10.7281/t1/1ecvb0/fu1lmt
title: DustOn-monthly-average_wrfout_d01_2004-04_06_mean.nc
DOI: 10.7281/t1/1ecvb0/gm92xe
title: DustOn-monthly-average_wrfout_d01_2004-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/itrakr
title: DustOn-monthly-average_wrfout_d01_2004-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/ixf2p4
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-03_18_std.nc
DOI: 10.7281/t1/1ecvb0/kkmrla
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-03_18_std.nc
DOI: 10.7281/t1/1ecvb0/l7moch
title: DustOn-monthly-average_wrfout_d01_2004-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/lt3icp
title: DustOff-monthly-average_wrfout_d01_2015-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/lxkdqd
title: DustOff-monthly-average_wrfout_d01_2015-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/nzsasb
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-07_00_std.nc
DOI: 10.7281/t1/1ecvb0/omxmjh
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-09_12_std.nc
DOI: 10.7281/t1/1ecvb0/pmimsr
title: DustOff-monthly-average_wrfout_d01_2015-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/rnitgd
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-07_12_std.nc
DOI: 10.7281/t1/1ecvb0/sfa1fp
title: DustOff-monthly-average_wrfout_d01_2015-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/v4d6fd
title: DustOff-monthly-average_wrfout_d01_2015-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/yhrzw5
title: DustOn-monthly-average_wrfout_d01_2004-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/yyudrj
title: DustOn-monthly-average_wrfout_d01_2004-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/zhyold
title: DustOff-monthly-average_wrfout_d01_2015-09_00_mean.nc
DOI: 10.17632/8yc3hg2c4m.1
title: Credit Constraints and the Composition of Housing Sales. Data and Code

description: Data, code and guidance necessary to replicate figures and tables in the paper "Credit Constraints and the Composition of Housing Sales. Farewell to First-time Buyers?" published at the Journal of the European Economic Association in 2020. See Readme for further details.
DOI: 10.17632/czkzkpzfx4.1
title: Complex interactions between bacteria and haemosporidian in co-infected hosts: an experiment

description: Data include: Sequences from parasites belong to two genera of Haemosporidia. Hematocrit and white blood cell counts from the host during the experiment. Band count and PCR score from the triplicate molecular diagnosis (before and after the MG infection)
DOI: 10.17632/pgpgptrcd3.4
title: Data on Local Responses to Early Warning Communications on Flood Prevention in Northern Ghana

description: This data was collected from households with experience of flood hazards and disaster in northern Ghana using interviews and focus group discussions. It comprises both quantitative and qualitative responses from householders, seeking to measure the relationship between early warning communications and local responses to flood risk prevention. There are questions on households' knowledge of early warning communication systems, strategies and channels, households prior exposure to floods, the types of local actions adopted to mitigate flood risk and the nature of post-reconstructions interventions they have been part of. We set out to test the relationship between flood experience and households risk response behaviour using multivariate logistic regressions and bi-variate analysis such as chi-square. We found that flood experience significantly impacted the risk response adopted by householders. Similarly, the emotional state of households significantly influenced the local actions to prevent flood risk. Among the early warning communication channels adopted by disaster authorities, local FM radio proved to be more effective on the decisions of households relative to the adoption of risk mitigation measure. Despite this, based on data from 68 households and 6 separate focus groups, we found that, Early Warning information did not lead to effective local actions in disaster hot spot communities. Households were concerned about loss of properties and lives during flood disasters; nonetheless they were less likely to move away from disaster prone areas, citing factors such as inter-generational belief systems, cost of relocation, soil fertility around the riverbanks and fear of losing ancestral lands.
DOI: 10.17632/sg2zj5yrvr.1
title: mat-2d-aerosol-inversion

description: This program, originally released with Sipkens et al. (2020a), is designed to invert tandem measurements of aerosol size distributions. This includes the inversion of particle mass analyzer-differential mobility analyzer (PMA-DMA) data to find the two-dimensional mass-mobility distribution. Earlier versions of this software are archived with Zenodo (cf. 10.5281/zenodo.3692122). This repository is hosted on GitHub at https://github.com/tsipkens/mat-2d-aerosol-inversion. This version corresponds to v1.1 of this code.
DOI: 10.17632/sg2zj5yrvr.2
title: mat-2d-aerosol-inversion

description: This program, originally released with Sipkens et al. (2020a), is designed to invert tandem measurements of aerosol size distributions. This includes the inversion of particle mass analyzer-differential mobility analyzer (PMA-DMA) data to find the two-dimensional mass-mobility distribution. Earlier versions of this software are archived with Zenodo (cf. 10.5281/zenodo.3692122). This repository is hosted on GitHub at https://github.com/tsipkens/mat-2d-aerosol-inversion. This version corresponds to v2.1 of this code.
DOI: 10.7281/t1/1ecvb0/5n6dht
title: DustOn-monthly-average_wrfout_d01_2004-03_00_mean.nc
DOI: 10.7281/t1/1ecvb0/5p2ejj
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-06_18_std.nc
DOI: 10.7281/t1/1ecvb0/7ergjy
title: DustOff-monthly-average_wrfout_d01_2015-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/8iniuq
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-07_06_std.nc
DOI: 10.7281/t1/1ecvb0/aib05j
title: DustOn-monthly-average_wrfout_d01_2004-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/dkx1ty
title: DustOn-monthly-average_wrfout_d01_2004-09_12_mean.nc
DOI: 10.7281/t1/1ecvb0/enwawo
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-06_12_std.nc
DOI: 10.7281/t1/1ecvb0/gkzkrx
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-07_06_std.nc
DOI: 10.7281/t1/1ecvb0/his0ds
title: DustOff-monthly-average_wrfout_d01_2015-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/juff7b
title: DustOn-monthly-average_wrfout_d01_2004-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/mbqmvp
title: DustOff-monthly-average_wrfout_d01_2015-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/o3ezn8
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-06_00_std.nc
DOI: 10.7281/t1/1ecvb0/qrat9z
title: DustOn-monthly-average_wrfout_d01_2004-07_12_mean.nc
DOI: 10.7281/t1/1ecvb0/rsfpbt
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-06_12_std.nc
DOI: 10.7281/t1/1ecvb0/shskca
title: DustOff-monthly-average_wrfout_d01_2015-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/tgclks
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-06_00_std.nc
DOI: 10.7281/t1/1ecvb0/txob3x
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-07_18_std.nc
DOI: 10.7281/t1/1ecvb0/uycqmg
title: DustOn-monthly-average_wrfout_d01_2004-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/vgqbky
title: DustOn-monthly-average_wrfout_d01_2004-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/vsgyqn
title: DustOff-monthly-average_wrfout_d01_2015-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/vtnn2f
title: DustOn-monthly-average_wrfout_d01_2004-04_12_mean.nc
DOI: 10.7281/t1/1ecvb0/wzv4zk
title: DustOn-monthly-average_wrfout_d01_2004-06_18_mean.nc
DOI: 10.7281/t1/1ecvb0/x8fnua
title: DustOn-monthly-average_wrfout_d01_2004-08_18_mean.nc
DOI: 10.17632/kbd2g7j7yd.1
title: Training and test set data used for the determination of total carbon in biosolids using MID-infrared spectroscopy

description: The data were collected as described in (https://doi.org/10.1016/j.scitotenv.2019.134195 and http://dx.doi.org/10.17632/p64dtjx7rj.1). The raw MID-IR (MID-Infra-red) data (http://dx.doi.org/10.17632/p64dtjx7rj.1) was used to determine total C in biosolids using two approaches - full spectral and selected wavelengths methods. For the full spectral method, the raw data was mean-centred and PCA analysis was carried out to remove abnormal samples. After the removal of abnormal samples, the full spectral data (located in the full spectral folder) was divided into two data set, the training set (approximately 2/3) and test set (approximately 2/3). The full spectra training set and test set data were saved in files named ‘Full spectra training set.xlsx’ and ‘Full spectra test set.xlsx’, respectively. For the selected wavelength method, wavenumbers that had a correlation coefficient &gt; 0.5 with total C were selected. The remainder of the spectral data was deleted. The data was then analysed by PCA to remove any abnormal samples and divided into training and test set, similar to the full spectral method. The data containing both total C and MID IR data was stored in the selected wavelength folder and given the filenames ‘Selected wavelength training set.xlsx’ and ‘Selected wavelengths test set.xlsx’. A full description of how the data was used is provided in (https://doi.org/10.1016/j.scitotenv.2019.134195).
DOI: 10.17632/tjhfdhhjxd.1
title: 2019 JTI (Single shot 2D-LGE image quality)

description: Purpose: The aim of this study was to assess the reliability of singleshot 2-dimensional multislice late gadolinium enhancement (2DMSLGE) compared with gold standard single-slice 2D inversion recovery segmented gradient echo (2D-SSLGE). Materials and Methods: Sixty-seven patients prospectively underwent clinically indicated cardiac magnetic resonance (CMR) imaging and were enrolled. The image quality was assessed using a 4-point scale. Segments positive for LGE were classified as ischemic or nonischemic for 2D-MSLGE and 2D-SSLGE. Interobserver and intraobserver variability was assessed for both sequences by 2 readers. The endpoints were as follows: (a) detection of myocardial segments involved by LGE and (b) classification of LGE as ischemic and nonischemic pattern. Sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy value were calculated for the 2 endpoints. Results: 2D-MSLGE and 2D-SSLGE were successfully performed in all patients with comparable image quality (1.56±0.59 vs. 1.54±0.58, P=0.84). For the overall population, 2D-MSLGE correctly identified 1093 of 1139 myocardial segments positive for LGE (96%; 95% confidence interval [CI]: 95%-97%), as compared with 2D-SSLGE. Similarly, 2D-MSLGE correctly identified 1128 of 1139 (99%; 95% CI: 98%-99%) and 1108 of 1139 (97%; 95% CI: 96%- 98%) of nonischemic and ischemic LGE patterns. Interobserver and intraobserver variability for quantification of LGE using 2DMSLGE was 0.98 and 0.99, respectively. The acquisition time was shorter for 2D-MSLGE as compared with 2D-SSLGE (2.0±0.5 vs. 6.0 ±2.0 min, P: 0.01). Conclusions: As compared with 2D-SSLGE, 2D-MSLGE is a reliable tool in both ischemic and nonischemic cardiac disease; it is associated with shorter scan times without the need for prolonged breath holding and may be beneficial for those with dysrhythmia.
DOI: 10.17632/wf28sb7dvm.3
title: Ahead of the class: the dataset

description: Dataset used in paper "Ahead of the class: classifying a decade of research into Virtual Reality applied to training and learning to identify topics, evolution and trends".
DOI: 10.5281/zenodo.3746654
title: Super famicom Database

description: This database collects information from a "super nintendo" console database at: www.superfamicom.org.
DOI: 10.5281/zenodo.3746655
title: Super famicom Database

description: This database collects information from a "super nintendo" console database at: www.superfamicom.org.
DOI: 10.7281/t1/1ecvb0/2h6pi4
title: DustOn-monthly-average_wrfout_d01_2004-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/2uh1nu
title: DustOff-monthly-average_wrfout_d01_2015-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/58shnk
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-09_12_std.nc
DOI: 10.7281/t1/1ecvb0/7ruiur
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-03_06_std.nc
DOI: 10.7281/t1/1ecvb0/eeq0y9
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-04_18_std.nc
DOI: 10.7281/t1/1ecvb0/fymcri
title: DustOn-monthly-average_wrfout_d01_2004-06_00_mean.nc
DOI: 10.7281/t1/1ecvb0/geoqt0
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-05_06_std.nc
DOI: 10.7281/t1/1ecvb0/irkj7b
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-05_18_std.nc
DOI: 10.7281/t1/1ecvb0/is3ibm
title: DustOn-monthly-average_wrfout_d01_2004-07_06_mean.nc
DOI: 10.7281/t1/1ecvb0/iugdh5
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-04_00_std.nc
DOI: 10.7281/t1/1ecvb0/kahd9u
title: DustOff-monthly-average_wrfout_d01_2015-03_06_mean.nc