cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kpy6crr94y.2
title: The Impact of Universal Basic Income on Health and Wellbeing: A Qualitative Realist Review

description: METHODOLOGY The review focuses on critical analysis of qualitative data on the CMOs of UBI/UCT-trials related to health inequalities and wellbeing in developed and developing countries. Following research sub-questions will be addressed: 1) How do context and underlying mechanisms influence social determinants and health outcomes of the population under investigation? 2) Is there a difference in perceived health outcomes between developed (HICs) and developing countries (LMICs) implementing a UBI or UCT? And if so, why? 3) Is there any difference in perceived health and wellbeing within countries (and for whom is it beneficial)? Data Synthesis Strategy and Coding Oliver (2012) suggests using a grounded theory approach (constructivism) as a framework for the realist review is lacking. Data analysis was performed on three levels within the 13 primary selected papers. First, the narrative data recorded by the researchers with stakeholders were coded through an inductive process which led to open coding. This was followed by axial and selective coding in creating themes (Castleberry and Nolen 2018). It is often argued one dataset should be represented by one theme; Gibbs (2018) counters this argument and proposes the use of several themes within a dataset whenever it is needed in clarifying and representing the data. In appreciating the data correctly, a re-code of the same data was performed one week after the initial coding (Miles, Huberman and Saldana 2013). The authors state this methodology to enhance the saturation of the data improving internal consistency. Researchers’ relevant discourse in their findings and discussions were coded line-by-line and analysed through the CMO-approach in retrieving the deeper social and health determinants involved (Jagosh 2019). The data selection, relevant CMOs and their relationships towards the outcomes were put in flowcharts facilitating the uncovering of patterns (Jagosh et al. 2014; Jagosh 2019). The interactions and relationships between the uncovered data are represented by arrows leading to a comprehensive framework creating insight in the deep-layers behind the intervention through ontological reasoning for the CMO (Dalkin et al 2015; Jagosh 2019). Ontological assumptions seek to understand reality (‘what is’) in which we objectified our own perception in recognising what and how things work (Rawnsley 1998; Scotland 2012). FINDINGS Overall, we can summarise the findings for beneficiaries of a UBI/UCT grant in three ontological themes arising prominently in relation to non-recipients or welfare dependent populations: less stigma and shame, financial stability, societal trust and improved health and wellbeing. Adding to this assertion, it was noticed the grant also had a positive effect on the community at large. More gender equity could not be retrieved as religion and tradition impose a patriarchal system.
DOI: 10.18716/nmrshiftdb2/88383
title: NMR data for 1,2-dimethyl-3-nitrobenzene
DOI: 10.18716/nmrshiftdb2/88384
title: NMR data for 1,3-dimethyl-2-nitrobenzene
DOI: 10.18716/nmrshiftdb2/88401
title: NMR data for InChI=1S/C14H18N4O/c19-13(12-6-2-1-3-7-12)14-15-10-16-18(14)11-17-8-4-5-9-17/h1-3,6-7,10,13,19H,4-5,8-9,11H2
DOI: 10.3886/e119110
title: Rev Transcription Excel Macro

description: This macro can be used to change files that have been transcribed via the the Rev.com transcription company into formats that can be used to process code via Python, Visual Basic for Applications, R, SPSS, etc. The macro converts these files into XLSX files or tab delimited TXT tiles as necessary from the original Rev TXT export files.<br><br>
DOI: 10.3886/e119110v1
title: Rev Transcription Excel Macro

description: This macro can be used to change files that have been transcribed via the the Rev.com transcription company into formats that can be used to process code via Python, Visual Basic for Applications, R, SPSS, etc. The macro converts these files into XLSX files or tab delimited TXT tiles as necessary from the original Rev TXT export files.<br><br>
DOI: 10.15468/z5kp8a
title: The genus Litophyton Forskål, 1775 (Octocorallia: Alcyonacea: Nephtheidae) from Australia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Van Ofwegen, Leen P. (2020): The genus Litophyton Forskål, 1775 (Octocorallia: Alcyonacea: Nephtheidae) from Australia. Zootaxa 4764 (1): 1-131, DOI: 10.11646/zootaxa.4764.1.1
DOI: 10.17632/6wg4w7j22n.1
title: Masculinity Stress and Red Meat Consumption (Survey; Prolific Academic)
DOI: 10.17632/h9rx475n8j.1
title: Jumping on the Bandwagon? Attendance Response to Recent Victories in the NBA
DOI: 10.18716/nmrshiftdb2/77294
title: NMR data for 1-(3-acetylphenyl)pyrrole-2,5-dione
DOI: 10.18716/nmrshiftdb2/88381
title: NMR data for InChI=1S/C8H10N2O2/c1-6(9)7-2-4-8(5-3-7)10(11)12/h2-6H,9H2,1H3/p+1
DOI: 10.18716/nmrshiftdb2/88388
title: NMR data for 2-bromo-1-methyl-3-nitrobenzene
DOI: 10.18716/nmrshiftdb2/88389
title: NMR data for 1-bromo-2-methyl-3-nitrobenzene
DOI: 10.18716/nmrshiftdb2/88403
title: NMR data for [1,2,4]triazolo[1,5-c]pyrimidine
DOI: 10.21227/300d-y756
title: Dataset: The perils and pitfalls of block design for EEG classification experiments

description: Dataset asscociated with a paper to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence"The perils and pitfalls of block design for EEG classification experiments"The paper has been accepted and is in production.We will upload the dataset when the paper is published.This is a placeholder so we can obtain a DOI to include in the paper.
DOI: 10.5281/zenodo.3764465
title: GDSC1

description: GDSC1 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764466
DOI: 10.5281/zenodo.3764466
title: GDSC1

description: GDSC1 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764466
DOI: 10.5281/zenodo.3764471
title: CTRPv2

description: CTRPv2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764472
DOI: 10.5281/zenodo.3764472
title: CTRPv2

description: CTRPv2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764472
DOI: 10.5281/zenodo.3765419
title: Linked COVID-19 Data: Robert Koch-Institut (RKI)

description: Linked COVID-19 Data derived from <strong>Robert Koch Institute</strong> using the COVID-19 Ontology 10.5281/zenodo.3757828 developed for the Linked COVID-19 Data Dashboard: http://covid19data.link This files include data for covid19_rki*.ttl - single COVID-19 cases per day, collected by the RKI https://www.arcgis.com/home/item.html?id=dd4580c810204019a7b8eb3e0b329dd6 "confirmed" is calcaulated by the column "Refdatum" covid19_rki_ger.ttl - COVID-19 cases per day for Germany, collected by the RKI covid19_rki_ger_cum.ttl - COVID-19 cases accumulated per day for Germany, collected by the RKI covid19_rki_fs.ttl - COVID-19 cases per day for the federal states in Germany, collected by the RKI covid19_rki_fs_cum.ttl - COVID-19 cases accumulated per day for the federal states in Germany, collected by the RKI This RDF files are based on the NPGEO Corona Hub 2020 https://opendata.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0.geojson https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0/data
DOI: 10.17632/h9rx475n8j.2
title: Jumping on the Bandwagon? Attendance Response to Recent Victories in the NBA
DOI: 10.17632/rsnw4y8tcz.1
title: Data for: 3584497

description: Sequence Data of SARS-COV-2
DOI: 10.17632/zcdstk62bs.1
title: JAAD-D-20-00846R1: Retrospective Study of Factors Affecting Medication Adherence in Patients Prescribed Efinaconazole 10% Solution for OnychomycosisSupplemental Figure

description: Supplemental Figure 1: Proportional Age Distribution of Patients: The proportional age distribution of patients by age across groups based on number of prescriptions filled: 0 prescription, 1-4 prescriptions, and 5-13 prescriptions. All three groups followed a normal distribution, with patients of the 41-70 range making up the majority of the group. Groups with a higher number of prescriptions filled had higher proportion of patients aged 61-70 and lower proportions of patients under 40.
DOI: 10.18716/nmrshiftdb2/88205
title: NMR data for 1-(2-bromoethyl)-4-nitrobenzene
DOI: 10.18716/nmrshiftdb2/88396
title: NMR data for 2-phenyl-1-(1,2,4-triazol-1-yl)ethanone
DOI: 10.18716/nmrshiftdb2/88397
title: NMR data for InChI=1S/C11H11N5O4/c17-4-8-7(16-6-12-5-13-16)3-10(20-8)15-2-1-9(18)14-11(15)19/h1-3,5-6,8,10,17H,4H2,(H,14,18,19)
DOI: 10.15784/601291
title: SOAR-WAZ Airborne gravity data for the CASERTZ/WAIS project

description: Free air gravity anomaly data collected as part of the Corridor Aerogeophysics of Eastern Ross Transect Zone CASERTZ/WAIS project.
DOI: 10.18716/nmrshiftdb2/88379
title: NMR data for 4-nitrobenzenethiol
DOI: 10.18716/nmrshiftdb2/88393
title: NMR data for InChI=1S/C11H25IOSi/c1-7-10(8-9-12)13-14(5,6)11(2,3)4/h10H,7-9H2,1-6H3
DOI: 10.5281/zenodo.3703096
title: Data for "State-to-state scattering of highly vibrationally excited NO at broadly tunable energies"

description: Data files for NCHEM-19112456, "<strong>State-to-state scattering of highly vibrationally excited NO at broadly tunable energies" including theoretical and experimental differential cross sections and raw experimental data images.</strong>
DOI: 10.5281/zenodo.3764693
title: Data and code for Fraser and Nettle, 'Hunger affects social decisions in a Public Goods Game but not an Ultimatum Game'

description: <strong>Data and code for Fraser and Nettle 'Hunger affects social decisions in a multi-round Public Goods Game but not a single-shot Ultimatum Game' </strong> The attached R script reproduces all analyses in the paper. There are three .csv data files used by the script: the dataset for experiment 1, the main dataset for experiment 2, and the latency data for experiment 2. This version: April 2020. Since the version of October 2019, we switched the order of presentation of the experiments, so the one previously referred to as experiment 2 is now experiment 1 and vice versa. Other new analyses and sections have also been added.
DOI: 10.17632/3r93n5f6zh.2
title: Anabatic flow field measurements and the detection algorithm of turbulent bursting periods

description: The complete dataset of anabatic (upslope) wind velocity fluctuations measured using the recently developed sonic-hot-film collocated anemometer (two X-shaped hot films were used in this field measurement). The measurements took place on a moderate slope in Nofit, Israel during August 2015. The dataset is uploaded along with an automated detection algorithm (Matlab code) to capture the beginning and ending times of a bursting event observed in the flow. The complete experimental setup is detailed in [1] and the complete detection algorithm procedure is detailed in [2]. T-SAIL group: https://t-sail.net.technion.ac.il/ [1] Hilel Goldshmid, R. & Liberzon, D. Environ Fluid Mech (2018). https://doi.org/10.1007/s10652-018-9649-x [2] https://arxiv.org/abs/1902.00875
DOI: 10.18716/nmrshiftdb2/88382
title: NMR data for (1S,2S)-2-amino-1-(4-nitrophenyl)propane-1,3-diol
DOI: 10.18716/nmrshiftdb2/88390
title: NMR data for InChI=1S/C7H10O/c1-2-7-5-3-4-6(7)8-7/h2,6H,1,3-5H2
DOI: 10.5255/ukda-sn-854258
title: Not the opium of the people: Income and secularisation in a panel of Prussian counties 1886-1911
DOI: 10.5281/zenodo.3703095
title: Data for "State-to-state scattering of highly vibrationally excited NO at broadly tunable energies"

description: Data files for NCHEM-19112456, "<strong>State-to-state scattering of highly vibrationally excited NO at broadly tunable energies" including theoretical and experimental differential cross sections and raw experimental data images.</strong>
DOI: 10.18716/nmrshiftdb2/77293
title: NMR data for 3,5-dimethyl-2,3-dihydro-1H-1-benzazepine
DOI: 10.18716/nmrshiftdb2/88378
title: NMR data for [(2R,3R)-3-(4-nitrophenyl)oxiran-2-yl]methanol
DOI: 10.18716/nmrshiftdb2/88380
title: NMR data for InChI=1S/C11H14N2O3/c14-8-11-2-1-7-12(11)9-3-5-10(6-4-9)13(15)16/h3-6,11,14H,1-2,7-8H2
DOI: 10.18716/nmrshiftdb2/88392
title: NMR data for InChI=1S/C18H21IO2/c19-12-11-18(21-14-17-9-5-2-6-10-17)15-20-13-16-7-3-1-4-8-16/h1-10,18H,11-15H2
DOI: 10.5284/1075878
title: Carr Lodge, Wakefield Road, Horbury, West Yorkshire. Historic Building Photographic Recording (OASIS ID: stephenh1-379627)

description: Carr Lodge is a brick-built mansion of the late 18th century, originally known as Sunroyd. The building's early history is not well documented, but it was acquired in about 1790 by a nephew of the renowned architect John Carr. Minor extensions were made in the early 19th century, and there have been piecemeal internal alterations throughout, despite which the historic plan-form and numerous historic fixtures and fittings survive.
DOI: 10.18716/nmrshiftdb2/88203
title: NMR data for 1-ethyl-4-nitrobenzene
DOI: 10.5281/zenodo.3764654
title: Alya Eulerian LES results fire extinction nozzle low mass flow rate (paraview files)

description: The present data complements the Deliverable 5.2. Toolchain V2 to couple CFD and multiple droplet and continuous droplet models.It includes a paraview file (*pvd) for the continuous droplet model (Eulerian-Eulerian) with an inlet mass flow rate of 0.05 kg/s. The unstructured mesh employed to simulate the injector system is composed by 81.6 million tetrahedrons that include the internal ow in the nozzle and the discharged atmosphere. Three levels of refinement are considered to characterize the internal ow and the near eld after the expansion, the jet penetration up to 15D (being D=2mm, the diameter of the nozzle) and the surrounding air with mesh resolution of 0.1, 0.3 and 1.5 mm respectively. A conservative level set is used in combination a a second order low dissipation finite element scheme and the LES model Vreman. Considered variables are: &lt;PDataArray type="Float64" Name="AVD32_average"/&gt; : average particle size distribution &lt;PDataArray type="Float64" Name="AVDEN_average"/&gt; : average density &lt;PDataArray type="Float64" Name="AVL _average"/&gt; : average liquid fraction &lt;PDataArray type="Float64" Name="AVL2 _average"/&gt;: average square liquid fraction &lt;PDataArray type="Float64" Name="AVS _average"/&gt;: average surface density &lt;PDataArray type="Float64" Name="AVS0 _average"/&gt;: average surface density 0 &lt;PDataArray type="Float64" Name="CON01_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="CON02_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="CON03_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="CON04_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="D32 _average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="DENSI_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="PRESS_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="SIGM0_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="SIGMA_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="TURBU_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="VELOC_average" NumberOfComponents="3"/&gt;: average velocity &lt;PDataArray type="Float64" Name="VISCO_average"/&gt;: not relevant (instantaneous values)
DOI: 10.5281/zenodo.3764655
title: Alya Eulerian LES results fire extinction nozzle low mass flow rate (paraview files)

description: The present data complements the Deliverable 5.2. Toolchain V2 to couple CFD and multiple droplet and continuous droplet models.It includes a paraview file (*pvd) for the continuous droplet model (Eulerian-Eulerian) with an inlet mass flow rate of 0.05 kg/s. The unstructured mesh employed to simulate the injector system is composed by 81.6 million tetrahedrons that include the internal ow in the nozzle and the discharged atmosphere. Three levels of refinement are considered to characterize the internal ow and the near eld after the expansion, the jet penetration up to 15D (being D=2mm, the diameter of the nozzle) and the surrounding air with mesh resolution of 0.1, 0.3 and 1.5 mm respectively. A conservative level set is used in combination a a second order low dissipation finite element scheme and the LES model Vreman. Considered variables are: &lt;PDataArray type="Float64" Name="AVD32_average"/&gt; : average particle size distribution &lt;PDataArray type="Float64" Name="AVDEN_average"/&gt; : average density &lt;PDataArray type="Float64" Name="AVL _average"/&gt; : average liquid fraction &lt;PDataArray type="Float64" Name="AVL2 _average"/&gt;: average square liquid fraction &lt;PDataArray type="Float64" Name="AVS _average"/&gt;: average surface density &lt;PDataArray type="Float64" Name="AVS0 _average"/&gt;: average surface density 0 &lt;PDataArray type="Float64" Name="CON01_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="CON02_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="CON03_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="CON04_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="D32 _average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="DENSI_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="PRESS_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="SIGM0_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="SIGMA_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="TURBU_average"/&gt;: not relevant (instantaneous values) &lt;PDataArray type="Float64" Name="VELOC_average" NumberOfComponents="3"/&gt;: average velocity &lt;PDataArray type="Float64" Name="VISCO_average"/&gt;: not relevant (instantaneous values)
DOI: 10.5281/zenodo.3765411
title: Calibration data for EMCCD Camera

description: Example datasets for the calibration (coversion to photon numbers
DOI: 10.5281/zenodo.3765412
title: Calibration data for EMCCD Camera

description: Example datasets for the calibration (coversion to photon numbers
DOI: 10.17632/36hgynt59n.1
title: Supplemental material

description: Supplemental material for: Logger JGM, Olydam JI, Driessen RJB. Use of beta-blockers for rosacea-associated facial erythema and flushing: a systematic review and update on proposed mode of action. Supplemental Figure 1. Review author’s judgement about each risk of bias item for the included RCT (n=1) with the Cochrane Risk of Bias tool. Supplemental Figure 2A. Review author’s judgement about each risk of bias item for each included cohort study and case report/series (n=7) with the Quality in Prognosis Studies tool. Supplemental Figure 2B. Review author’s judgement about each risk of bias item presented as percentages across all included cohort studies and case reports/series (n=7) with the Quality in Prognosis Studies tool. Supplemental Table 1. Search strategy. Supplemental Table 2. In –and exclusion criteria. Supplemental Table 3. Review author’s judgement about each risk of bias item for the included case-control study (n=1) with the Newcastle-Ottawa scale.
DOI: 10.18716/nmrshiftdb2/88204
title: NMR data for 1-nitro-4-propan-2-ylbenzene
DOI: 10.5281/zenodo.3764699
title: CNN

description: CNN-dataset
DOI: 10.17632/kc89crcwgy.1
title: Data for: A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas

description: Burned area maps for the Brazilian Cerrado and fire season 2015 computed by the PT algorithm (Campagnolo et al 2019) There are three products based on MODIS surface reflectance at 250 m (PT-GQ-NIR) , at 500m (PT-GA-BSVI) and combined 250-500 m (PT-NIR-BSVI) Each file covers the rectangle of longitudes between 68°W and 40°W and latitudes between 26°S and 2°N which contains the Brazilian Cerrado, from Abril 30, 2015 to December 31, 2015. Each row represents one BA observation and columns are the following. (1) lon (decimal degrees), (2) lat (decimal degrees), (3) doy (estimated julian date of burn), (4) doy_pre (earliest julian date of burn), (5) doy_post (latest julian date of burn), (6) aream2 (observation burned area in m2), (7) pixelsize (pixel size of original surface reflectance observation, in meters), (8) mscores (MaxEnt score), (9) thr (threshold for mscore), (10) croplands (1 if cropland pixel, 0 otherwise), (11) dg (degree in graph of events), (12) medianscores (median score of the patch where the observation lies), (13) nAFpatch (number of active fires associated with the patch where the observation lies), and (14) IDXpatch (index of patch where the observation lies). Missing values are indicated by -1. Reference: Campagnolo, M. L., Oom, D., Padilla, M., & Pereira, J. M. C. (2019). A patch-based algorithm for global and daily burned area mapping. Remote Sensing of Environment, 232, 111288. https://doi.org/10.1016/j.rse.2019.111288
DOI: 10.18112/openneuro.ds002734.v1.0.0
title: Evidence Accumulation in Value-Based decisions
DOI: 10.21227/ca91-6a96
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Recent advances in computer vision and artificial intelligence have allowed researchers to develop environment recognition systems for predictive control of lower-limb exoskeletons and prostheses. However, inadequate and private training datasets have impeded the widespread development and dissemination of image classification algorithms for environment recognition, respectively. To address these shortcomings, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable smartphone camera system throughout the summer, fall, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through the IEEE DataPort repository, ExoNet offers an unprecedented community-based platform for training, developing, and comparing next-generation image classification algorithms (e.g., convolutional neural networks) for human locomotion environment recognition. Beyond the predictive control of lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Under Review.
DOI: 10.5281/zenodo.3764698
title: CNN

description: CNN-dataset
DOI: 10.7910/dvn/2ajuii/rbfjhk
title: ky_2019.zip

description: Statewide results for Kentucky.
DOI: 10.7910/dvn/2ajuii/wtm27i
title: documentation.txt

description: Data and sourcing information.
DOI: 10.17632/38sgxwkrrd.1
title: Data for: Application of multispectral imaging to assess the quality of coconut oil

description: This dataset consists of the images obtained from an in-house-developed transmittance multispectral imaging system corresponding to a study carried out to assess the quality of coconut oil.