cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1253725
title: Time-Lapse Observations Of Snow Bedforms In The Colorado Front Range, 2016-2017

description: <strong>Description:</strong> Time-lapse imagery of snow surfaces on Niwot Ridge, in the Colorado Front Range, between March 2016 and April 2017.

<strong>Purpose:</strong> Videos show the evolution of snow bedforms, including the formation and movement of snow dunes, snow ripples, and sastrugi. Used to analyze the modes of bedform movement, and to constrain the weather conditions in which they form.

<strong>Equipment, details + weather data: </strong>Time-lapse cameras are Day6 Plotwatcher Pros. They take images every 10s during daylight hours. The cameras are located at -40.054307, -105.590764, 150m upwind of the Niwot Ridge LTER Saddle Station. Bedform movement can thus be correlated with climate and precipitation data from the station, provided at niwot.colorado.edu

<strong>Filenames:</strong> Files are named yymmddAA.avi, where yy/mm/dd is the date of the recording. When multiple recordings were made in one day, there will be a yymmddAB.avi, yymmddAC.avi, etc. Some filenames are annotated with a description, eg 170226AA-sastrugi.avi. On a few dates (November 2016) the cameras recorded incorrect dates; on these days, the dates in the filenames are to be preferred.

Date and time in video: the date, time and temperature are recorded in the bottom of the videos. The date and time are generally accurate, but if they differ from the date in the filename, that date is to be preferred and the time disregarded. Temperature in the film is generally colder than temperature recorded by the nearby weather station, and we generally disregarded it in favor of climate data from niwot.colorado.edu.

<strong>Data format:</strong> Data are presented as .avi files, which may be run by most video players. Data were originally recorded with proprietary .tlv file extension. The .tlv format is equivalent to .avi; if any .tlv files are found, simply rename them as .avi files and play as usual.

<strong>Acknowledgements:</strong> This research was supported by a Department of Energy Computational Science Graduate Fellowship (DE-FG02-97ER25308), by a University of Colorado Chancellor's Fellowship, and by the National Science Foundation via support for the Boulder Creek Critical Zone Observatory (EAR-1331828).<br>
Field equipment was funded by the American Alpine Club; the Colorado Scientific Society; and a Patterson Award from the University of Colorado Department of Geological Sciences. Field assistants were funded by the University of Colorado Undergraduate Research Opportunities Program. Logistical support and climate data were provided by the NSF-supported Niwot Ridge Long-Term Ecological Research Project and the University of Colorado Mountain Research station.
DOI: 10.5281/zenodo.5144141
title: Loon Stratospheric Electrical Measurements above Thunderstorms

description: Loon LLC telemetry data containing measurements from a corona current sensor and also aligned with lightning indicators from BCI (CDO, CloudHeight) and the Geostationary Lightning Mapper (GLM). See README for more details.
DOI: 10.5281/zenodo.6525050
title: CMB / Lowermost Mantle Joint Tomographic Model

description: Output model for Muir, Tanaka and Tkalčić Description of included data files: corrmat.dat - correlation matrix between slowness & radius perturbation coefficients; order of coefficients is (0,0), (1,-1), (1,0)....(8,8) for slowness, and then the same for radius<br> drpowers.dat - power per degree l for radius perturbation, column 1 = l, column 2 = mean, column 3 = 5%ile, column 4 = 95%ile<br> vppowers.dat - power per degree l for Vp perturbation, column 1 = l, column 2 = mean, column 3 = 5%ile, column 4 = 95%ile (using 13.61 km/s reference velocity)<br> m_dr.dat - summary statistics for radius perturbation coefficients, column 1 = l, column 2 = m, column 3 = mean, column 4 = 5%ile, column 5 = 95%ile<br> m_ds.dat - summary statistics for slowness perturbation coefficients, column 1 = l, column 2 = m, column 3 = mean, column 4 = 5%ile, column 5 = 95%ile<br> spatialcorr.dat - spatial correlation between slowness and radius, column 1 = latitude, column 2 = longitude, column 3 = correlation<br> tomodata.dat - summary statistics for Vp, column 1 = latitude, column 2 = longitude, column 3 = mean, column 4 = std dev<br> topodata.dat - summary statistics for radius, column 1 = latitude, column 2 = longitude, column 3 = mean, column 4 = std dev Spherical harmonics are given by <br> Y^m_l(phi, theta) = sqrt(2)*sqrt(((2l+1)(l-m)!)/(4pi(l+m)!)) cos(m phi) P^m_l(cos(theta)); m&gt;0<br> Y^m_l(phi, theta) = sqrt(2)*sqrt(((2l+1)(l-m)!)/(4pi(l+m)!)) sin(-m phi) P^(-m)_l(cos(theta)); m&lt;0<br> Y^m_l(phi, theta) = sqrt(((2l+1)(l-m)!)/(4pi(l+m)!)) P^(-m)_l(cos(theta)); m=0 where P^m_l is the associated legendre function including the Condon-Shortley phase
DOI: 10.5281/zenodo.6837705
title: Distributed fiber optics measurements of rock deformation and failure in triaxial tests

description: We have uploaded two versions of the data. The first version is the raw data from the optical interrogator in the original format. The second version is the processed data. In addition, we have included in each sub-folder a "Readme.txt" file that gives the additional information, requested by the reviewer, on how to process the raw data.
DOI: 10.5285/940c1b90-fef3-49c3-8be9-39b4b0078660
title: Monthly Groundwater Level (GWL) and Standardised Groundwater levels for six sites in the UK illustrating the temporal interpolation of groundwater level hydrographs for regional drought analysis using mixed models

description: The dataset consists of modelled monthly groundwater level (GWL) and Standardised Groundwater level Index (SGI) time series for six groundwater level hydrographs from the UK. The data forms part of a paper for the peer-reviewed literature describing a modelling method to regularise and standardise groundwater level time series data so that they can be used in the study of groundwater droughts and the propagation of droughts in the wider terrestrial water cycle. The data consists of monthly values of groundwater level expressed as meters above sea level (m asl) and monthly values of Standardise Groundwater level Index (SGI) between January 1980 and December 2015 for the six sites designated as sites A to F. In addition, metadata is provided for the sites consisting of a datum in meters above OD, a borehole depth in meters, a note on borehole completion, a note on the major aquifer intersected by the borehole, values of minimum, maximum, mean and standard deviation of groundwater levels (in metres above sea level), and the number of months with no groundwater level observations for each of the six sites.
DOI: 10.6084/m9.figshare.20745622
title: Supplementary Material for: Comparative Metastatic Rates in GEP Class 1A versus 1B Posterior Uveal Melanoma. Results Contrary to Expectations.

description: Purpose: The purpose of this study was to determine whether the metastatic rates in patients with gene expression profile (GEP) class 1A versus 1B posterior uveal malignant melanoma supported or contradicted predictions of very low metastatic rate in GEP 1A cases and moderate rate in GEP 1B cases. Patients/Methods: 164 patients with a cytopathologically-confirmed primary posterior uveal malignant melanoma classified by GEP testing as class 1 (100 GEP 1A, 64 GEP 1B) were evaluated. Kaplan-Meier rates of metastasis were computed and plotted for the GEP class 1 subgroups. Median follow-up of patients who were still alive without metastasis on the date of data analysis was 100.5 months for the GEP 1A patients and 97.2 months for the GEP 1B patients. Results: The actuarial 5-year rate of uveal melanoma metastasis was 10.8% (std. error = 3.2%) in the GEP 1A patients versus 0% in the GEP 1B patients, and the actuarial 10-year rate of metastasis was 12.2% (std. error = 3.5%) in the GEP 1A patients versus 2.1% (std. error 2.1%) in the GEP 1B patients. Conclusion: The results of this retrospective single-center study cast doubt on the validity of the prognostic stratification of GEP class 1 posterior uveal malignant melanomas into very low risk (GEP 1A) versus intermediate risk (GEP 1B) of metastasis subgroups provided by the commercially available GEP test.
DOI: 10.17037/data.277
title: Search strategies for: "Safeguarding human health in the Anthropocene epoch: report of the Rockefeller Foundation-Lancet Commission on planetary health"
DOI: 10.17632/5ggw6j9hxs.1
title: Vibration-Based Laboratory Test and Analysis Data from Corroded Pipe Investigation
DOI: 10.18462/iir.icr.2019.1081
title: Case study of the adsorption chiller driven by combined municipal heat and solar energy.
DOI: 10.5281/zenodo.3669969
title: CNNpredIM - Dataset for Rapid Prediction of Earthquake Ground Shaking Intensity Using Raw Waveform Data and a Convolutional Neural Network

description: The <strong>dataset</strong> available here is the dataset used in the <strong>paper</strong> <em>"Rapid Prediction of Earthquake Ground Shaking Intensity Using Raw Waveform Data and a Convolutional Neural Network".</em> The <strong>abstract</strong> of the <strong>paper</strong>: This study describes a deep convolutional neural network (CNN) based technique for the prediction of intensity measurements (IMs) of ground shaking. The input data to the CNN model consists of multistation 3C broadband and accelerometric waveforms recorded during the 2016 Central Italy earthquake sequence for M ≥ 3.0. We find that the CNN is capable of predicting accurately the IMs at stations far from the epicenter and that have not yet recorded the maximum ground shaking when using a 10 s window starting at the earthquake origin time. The CNN IM predictions do not require previous knowledge of the earthquake source (location and magnitude). Comparison between the CNN model predictions and the predictions obtained with Bindi et al. (2011) GMPE (which require location and magnitude) has shown that the CNN model features similar error variance but smaller bias. Although the technique is not strictly designed for earthquake early warning, we found that it can provide useful estimates of ground motions within 15-20 sec after earthquake origin time depending on various setup elements (e.g., times for data transmission, computation, latencies). The technique has been tested on raw data without any initial data pre-selection in order to closely replicate real-time data streaming. When noise examples were included with the earthquake data, the CNN was found to be stable predicting accurately the ground shaking intensity corresponding to the noise amplitude.
DOI: 10.5281/zenodo.6619144
title: Data & parsing software for CMB Topographic Model

description: Datasets and associated code for reading the data (and generating tomographic models) for the CMB topography / lowermost mantle tomographic model of Muir et al.
DOI: 10.6084/m9.figshare.20745874
title: Supplementary Material for: Outcomes of Neonates with a 10-min Apgar Score of Zero: A Systematic Review and Meta-Analysis

description: <b><i>Introduction:</i></b> The Apgar score is a standardized method of assessing the primary adaptation and clinical status of a neonate after birth. Our objective was to systematically review and meta-analyze the survival and the survival without moderate-to-severe neurodevelopmental impairment (NDI) of neonates with a 10-min Apgar score of zero. <b><i>Methods:</i></b> Six electronic databases were searched for reports published until November 2021 of neonates with a 10-min Apgar score of zero. Risk of bias was assessed using the Newcastle-Ottawa scale for cohort studies and the Joanna Briggs Institute Critical Appraisal Checklist for case series/reports. Meta-analyses of the proportion of outcomes were conducted using a random-effects model for studies published after year 2000 and reporting &gt;5 neonates. Meta-regression using the median year of the study period and subgroup analyses by treatment with therapeutic hypothermia and by gestational age were conducted. <b><i>Results:</i></b> Twenty-eight studies of 820 neonates with moderate risk of bias were included. Survival was 40% (95% confidence interval 30–50%, 16 studies, 646 neonates, <i>I</i><sup>2</sup> = 83%), and it increased by 2.3% per year (95% CI 1.3–3.2%, <i>p</i> &lt; 0.001). Survival without moderate-to-severe NDI was 19% (95% confidence interval 11–27%, 13 studies, 211 neonates, <i>I</i><sup>2</sup> = 62%). Survival was higher for neonates who received therapeutic hypothermia and for those with a gestational age ≥32 weeks compared to &lt;32 weeks. <b><i>Conclusion:</i></b> Approximately 2 in 5 neonates with a 10-min Apgar score of zero survived, and 1 in 5 survive without moderate-to-severe NDI survived. Survival has improved over the years, especially since the era of therapeutic hypothermia.
DOI: 10.17632/6t76ty4rjj.2
title: Vertical Transport of Sensible Heat and Meteoric Na by the Complete Temporal Spectrum of Gravity Waves in the MLT Above McMurdo (77.84˚S, 166.67˚E), Antarctica

description: This dataset supports the article " Vertical Transport of Sensible Heat and Meteoric Na by the Complete Temporal Spectrum of Gravity Waves in the MLT Above McMurdo (77.84˚S, 166.67˚E), Antarctica " (Journal of Geophysical Research-Atmosphere). The data are provided in MatLab format. Plotting programs are also included.
DOI: 10.18462/iir.nh3-co2.2017.0038
title: Extending ammonia high temperature heat pump using butane in a cascade system.

description: Ammonia is widely used for industrial cooling, but also capable to deliver heat for hot water production up to 90 °C. Butane has favourable thermodynamic properties for high temperature applications above 90 °C. Recent improvement in both ammonia and hydrocarbon compressor technology shows potential for higher condensation temperature thereby expanding their application for heating. Both working fluids can independently convert waste heat to higher temperatures. When integrated into one system, the possibilities are further improved with more flexibility for industrial applications. This paper explores the potential of different cycle configurations of ammonia and butane cascade heat pump for high temperature industrial heating. The systems are designed to take advantage of the favourable properties of each working fluid, while optimized for different operating conditions. Several theoretical models using simulation tools are developed to implement the component and system designs. The model uses both technology that is commercially available and improved components to demonstrate the opportunities.
DOI: 10.23728/b2share.96956d1bae7d40cb80e0c6b4dfa0b30f
title: Underlying data_Lab-scale and on-field industrial composting of biodegradable plastic blends for packaging_Chong et al. 2022

description: Underlying data_Lab-scale and on-field industrial composting of biodegradable plastic blends for packaging_Chong et al. 2022 (in submission)
DOI: 10.3886/e113633v1
title: Replication data for: Star Wars: The Empirics Strike Back

description: Using 50,000 tests published in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained solely by journals favoring rejection of the null hypothesis. We observe a two-humped camel shape with missing p-values between 0.25 and 0.10 that can be retrieved just after the 0.05 threshold and represent 10-20 percent of marginally rejected tests. Our interpretation is that researchers inflate the value of just-rejected tests by choosing "significant" specifications. We propose a method to measure this residual and describe how it varies by article and author characteristics. (JEL A11, C13)
DOI: 10.6084/m9.figshare.20468640
title: Data and code for "Limits on the rate of conversion of potential to kinetic energy in quasigeostrophic turbulence"

description: Figures, data, and code for "Limits on the rate of conversion of potential to kinetic energy in quasigeostrophic turbulence" by Grooms
DOI: 10.15139/s3/jklbzf
title: Example Investigator Collected Data for Students Learning Statistics Collaboration Skills

description: This Excel file contains example data as would be provided by an investigator to a collaborative statistician to analyze. Data are a permuted and edited version of real data provided to the authors during a statistical collaboration. The data are presented as commonly collected by investigators prior to working with a statistician, including several tabs of data in different domains (Set1, Set2, Demographics), colored cells, merged cells, cells with more than one data type, etc. as well as incomplete data and two systems of ID numbers. The file also includes a tab to link the different ID systems as well as tabs that have a "cleaned" version of the data (REVISEDSet1, REVISEDSet2) that would typically be provided after quality control identified some issues with the data that were then resolved by the investigator.
DOI: 10.15483/1455028
title: Convective - TTU

description: This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical convective ABL. The dataset can be used for comparison with other LES and computational fluid dynamics model outputs.
DOI: 10.18112/openneuro.ds001545.v1.1.1
title: Learning Naturalistic Temporal Structure in the Posterior Medial Network
DOI: 10.21947/1435011
title: NREL

description: [ Not provided ]
DOI: 10.3886/e113682v1
title: Replication data for: Do College Graduates Serving as Village Officials Help Rural China?

description: This study estimates the effect of improved bureaucrat quality on poverty alleviation by exploring a unique human capital reallocation policy in China—the College Graduate Village Officials (CGVOs) program. We find that introducing CGVOs into the village governance system improves the targeting and implementation of the central government's social assistance programs. CGVOs help eligible poor households understand and apply for relevant subsidies, thus increasing the number of pro-poor program beneficiaries. Further analysis suggests that CGVOs change bureaucrat quality, rather than quantity, of village governance, and their presence reduces elite capture of pro-poor programs.
DOI: 10.3886/e159221v1
title: Data and Code for: Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics: Comment

description: Brodeur, Cook, and Heyes (2020) study hypothesis tests from economic articles and find evidence for p-hacking and publication bias, in particular for IV and DID studies. When adjusting for rounding errors (introducing a novel method), statistical evidence for p-hacking from randomization tests and caliper tests at the 5% significance threshold vanishes for DID studies but remains for IV studies. Results at the 1% and 10% significance thresholds remain largely similar. In addition, Brodeur, Cook, and Heyes derive latent distributions of z-statistics absent publication bias using two different approaches. We establish for each approach a result that challenges its applicability.<br><br><br><br>
DOI: 10.5281/zenodo.27354
title: Adapting Phrase-Based Machine Translation To Normalise Medical Terms In Social Media Messages

description: Data and supplementary information for the paper entitled "Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages" to be published at EMNLP 2015: Conference on Empirical Methods in Natural Language Processing — September 17–21, 2015 — Lisboa, Portugal.

ABSTRACT: Previous studies have shown that health reports in social media, such as DailyStrength and Twitter, have potential for monitoring health conditions (e.g. adverse drug reactions, infectious diseases) in particular communities. However, in order for a machine to understand and make inferences on these health conditions, the ability to recognise when laymen's terms refer to a particular medical concept (i.e. text normalisation) is required. To achieve this, we propose to adapt an existing phrase-based machine translation (MT) technique and a vector representation of words to map between a social media phrase and a medical concept. We evaluate our proposed approach using a collection of phrases from tweets related to adverse drug reactions. Our experimental results show that the combination of a phrase-based MT technique and the similarity between word vector representations outperforms the baselines that apply only either of them by up to 55%.
DOI: 10.5285/e7c3177b-4c73-4c20-961f-03afd09ccf69
title: Processed InSAR images over the volcanoes of the East African Rift

description: This data set contains a set of 20,740 unwrapped, geocoded interferograms derived from Sentinel-1 InSAR scenes processed over 63 volcanoes within the East African Rift system. A full description of the dataset is provided in the accompanying READMe file. This data set was first published in Albino, F. & Biggs, J. (2020). Magmatic processes in the east African rift system: Insights from a 2015-2020 Sentinel-1 InSAR survey, Geochemistry, Geophysics, Geosystems.
DOI: 10.6084/m9.figshare.20334684
title: Smart low interfacial toughness coatings for on-demand de-icing without melting

description: This file contains the data of deicing on the smart Ultra-High Molecular Weight Polyethylene sheet. The data shows the detail of temperature switches of heaters and testing conditions to remove ice without melting it. For more information, please see: https://doi.org/10.1038/s41467-022-32852-6 <br>
DOI: 10.6084/m9.figshare.20745082
title: Supplementary Material for: Risk of Atopic Disorders in Patients with Chronic Urticaria: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Chronic urticaria (CU) has been associated with several systemic and autoimmune disorders. The association with atopic disorders is however controversial. The objective of this study was to perform a systematic review and meta-analysis to assess the association between CU and the atopic disorders: atopic dermatitis (AD), asthma, and allergic rhinoconjunctivitis (ARC). <b><i>Methods:</i></b> Search hits from PubMed, Embase, Cochrane Library, and Web of Science were systematically reviewed. English papers from 2000 to present, containing original data of the association (prevalence, incidence, or risk) between CU and any atopic disorder(s), were included. Pooled point prevalence and OR with 95% confidence intervals were calculated with a random effects model. <b><i>Results:</i></b> A total of 8,108 search hits were screened and reviewed. Thirty-eight studies met all inclusion criteria. The estimated pooled point prevalence of AD, asthma, and ARC in CU was 7% (5–11%, <i>I</i><sup><i>2</i></sup> = 99%), 12% (9–15%, <i>I</i><sup><i>2</i></sup> = 100%), and 22% (16–29%, <i>I</i><sup><i>2</i></sup> = 100%), respectively. Pooled ORs were estimated to 2.75 (2.05–3.68, <i>I</i><sup><i>2</i></sup> = 94%) for AD, 1.87 (1.01–3.45, <i>I</i><sup><i>2</i></sup> = 100%) for asthma, and 2.94 (1.84–4.68, <i>I</i><sup><i>2</i></sup> = 100%) for ARC. <b><i>Conclusion:</i></b> Pooled point prevalences of atopic disorders in CU were comparable to the general population. However, studies that compared prevalences with controls from the same population all found a significantly increased risk of atopic disorders in CU. Results should however be interpreted with caution as high heterogeneity was found in all analyses.
DOI: 10.17632/44grnj742t.1
title: Plant C-glycosides

description: This database comprehensively covers the plant C-glycosides which have been structurally elucidated by NMR (Nuclear magnetic resonance) up to the end of 2021. The references were collected by searching "C-glycosides" or "natural products" in Web of Science, PubMed, and other common databases. But those without exact structures were not included here. This database would give great help for researchers interested in phytochemistry and biosynthesis of C-glycosides.