cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xh4h6kn382.2
title: Design- and support-files for a transportable temperature and heatwave control device (TENTACLE)

description: Dataset includes Software, Electronic Design, and Lasercut files to rebuild the Arduino-based temperature and heatwave control device (TENTACLE). 
The device is transportable, inexpensive, multifunctional, and easily reproducible. TENTACLE offers water temperature monitoring and manipulation of up to 3 different climate change-related scenarios: i) natural (ambient) sinusoidal fluctuations (laboratory applications), ii) elevated fluctuations, and iii) heatwaves as extreme events. The use of replaceable heating elements and low-cost materials suitable for field studies creates a high flexibility for researchers who may conduct in- or out-door, small- or large-scale, fresh- or salt-water experiments at different geographical locations. Thus, the technology is independent of any limitations that installed machineries of testing facilities involve. Considering temperature manipulations with environmentally realistic temperature fluctuations, the high flexibility as well as the multifunctionality of TENTACLE opens access to improved and novel tools for future climate change-related temperature research questions in a single- or multiple-stressor context.
DOI: 10.17632/kfz2s299x4.1
title: 2-year Mortality and Dynamics in Patients with Chronic Disorders of Consciousness

description: The objective of this study was to first time in Russian Federation collect data on the survival and the level of consciousness of patients with chronic disorders of consciousness (cDOC), and based on them search for prognostic markers of survival and positive dynamic of the level of consciousness on long-terms outcomes (up to 24 months). All patients (n=184) had a diagnosis of cDOC and were admitted to Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology after anoxic brain injury (n = 52), vascular lesions (n = 50), traumatic brain injury (n = 74), and other causes (n=8). Our research showed that the survival rate (less then 30 %) and the rate of consciousness recovery (5 %) are both low, though not differ seriously from existing data for this category of patients. We hope, that the data obtained can aid in choosing the vector of further medical and social way of each cDOC patient and design appropriate measures to help the patient himself and, what can be equally important, his relatives.
DOI: 10.17632/2j3mt5vyd3.1
title: Cognitive Style (risk-caution) and its Relationship to Meta-memory 

description: The aim of this study is to determine the relationship between cognitive style (risk-caution) and the meta-memory skills among the secondary school students in the South Hebron district. To achieve the goal of the study, correlational approach, cognitive style measurement (risk-caution) and meta-memory measurement were used. The study was conducted on 295 students (male and female). The findings revealed that both the cognitive style level (risk-caution) and the meta-memory skills level were moderate, and that there was a statistically significant inverse negative relationship between the cognitive style level score (risk-caution) and meta-memory skills scores. The findings also revealed that there were no statistically significant differences between the means of the cognitive style (risk-caution) and the means of meta-memory skills attributed to gender, but there were statistically significant differences due to the grade in favor of Grade 11. According to the findings of the recent study, it is critical to establish a program which can develop the meta-memory skills among students, particularly those with moderate or low achievement.
DOI: 10.7916/d8vm5w5w
title:  Creatinine- versus cystatin C-based renal function assessment in the Northern Manhattan Study: Data

description: Background: Accurate glomerular filtration rate estimation informs drug dosing and risk stratification. Body composition heterogeneity influences creatinine production and the precision of creatinine-based estimated glomerular filtration rate (eGFRcr) in the elderly. We compared chronic kidney disease (CKD) categorization using eGFRcr and cystatin C-based estimated GFR (eGFRcys) in an elderly, racially/ethnically diverse cohort to determine their concordance. Methods: The Northern Manhattan Study (NOMAS) is a predominantly elderly, multi-ethnic cohort with a primary aim to study cardiovascular disease epidemiology. We included participants with concurrently measured creatinine and cystatin C. eGFRcr was calculated using the CKD-EPI 2009 equation. eGFRcys was calculated using the CKD-EPI 2012 equation. Logistic regression was used to estimate odds ratios and 95% confidence intervals of factors associated with reclassification from eGFRcr≥60ml/min/1.73m² to eGFRcys&lt;60ml/min/1.73m². Results: Participants (n=2988, mean age 69±10yrs) were predominantly Hispanic, female, and overweight/obese. eGFRcys was lower than eGFRcr by mean 23mL/min/1.73m². 51% of participants’ CKD status was discordant, and only 28% maintained the same CKD stage by both measures. Most participants (78%) had eGFRcr≥60mL/min/1.73m²; among these, 64% had eGFRcys&lt;60mL/min/1.73m². Among participants with eGFRcr≥60mL/min/1.73m², eGFRcys-based reclassification was more likely in those with age &gt;65 years, obesity, current smoking, white race, and female sex. Conclusions: In a large, multiethnic, elderly cohort, we found a highly discrepant prevalence of CKD with eGFRcys versus eGFRcr. Determining the optimal method to estimate GFR in elderly populations needs urgent further study to improve risk stratification and drug dosing.
DOI: 10.17632/ngsg4wm666.1
title: Perylene data

description: Data for "Occurrence and origin of perylene in Paleogene sediments from the Tasmanian Gateway, Australia"
DOI: 10.7916/d8-0t0c-et47
title:  DATA: Meeting the demand of women affected by ongoing crisis: increasing contraceptive prevalence in North and South Kivu, Democratic Republic of the Congo

description: Context: Over 20 years of conflict in the DRC, North and South Kivu have experienced cycles of stability and conflict, resulting in a compromised health system and poor sexual and reproductive health outcomes. Modern contraceptive use is low (7.5%) and maternal mortality is high (846 deaths per 100,000 live births). Program partners have supported the Ministry of Health (MOH) in North and South Kivu to provide good quality contraceptive services in public health facilities since 2011. Methods: Cross-sectional population-based surveys were conducted in the program areas using a two-stage cluster sampling design to ensure representation in each of six rural health zones. Using MOH population estimates for villages in the catchment areas of supported health facilities, 25 clusters in each zone were selected using probability proportional to size. Within each cluster, 22 households were systematically selected, and one woman of reproductive age (15-49 years) was randomly selected from all eligible women in each household. Results: Modern contraceptive prevalence among women in union ranged from 8.4% to 26.7% in the six health zones; current use of long-acting or permanent method (LAPM) ranged from 2.5% to 19.8%. The majority of women (58.9% to 90.2%) reported receiving their current method for the first time at a health facility supported by the program partners. Over half of women in four health zones reported wanting to continue their method for five years or longer. Conclusion: Current modern contraceptive use and LAPM use were high in these six health zones compared to DRC Demographic and Health Survey data nationally and provincially. These results were accomplished across all six health zones despite their varied socio-demographic characteristics and different experiences of conflict and displacement. These findings demonstrate that women in these conflict-affected areas want contraception and will choose to use it when good quality services are available to them.
DOI: 10.7916/d8795nhs
title:  Data files for “Evidence for a Large Exomoon Orbiting Kepler-1625b” by Teachey & Kipping (2018)

description: Hubble WFC3 observations of Kepler-1625 taken in October 2017 were reported in Teachey & Kipping (2018). In that work, we the authors find evidence for an exomoon associated with the planetary transit of Kepler-1625b. We here provide the processed frame images, light curves, centroid time series, stellar isochrones and model posteriors/results data used in our study. Each folder contains a short readme file aimed at professional astronomers familiar with these types of analyses.
DOI: 10.7916/d8cv4s4w
title:  Data for "Piercing of consciousness as a threshold crossing operation"

description: Many decisions arise through an accumulation of evidence to a terminating threshold. The process, termed bounded evidence accumulation (or drift-diffusion), provides a unified account of decision speed and accuracy, and it is supported by neurophysiology in human and animal models. In many situations, a decision maker may not communicate a decision immediately and yet feel that at some point she had made up her mind. We hypothesized that this occurs when an accumulation of evidence reaches a termination threshold, registered, subjectively, as an “aha” moment. We asked human participants to make perceptual decisions about the net direction of dynamic random dot motion. The difficulty and viewing duration were controlled by the experimenter. After indicating their choice, participants adjusted the setting of a clock to the moment they felt they had reached a decision. The subjective decision times (tSD) were faster on trials with stronger (easier) motion, and they were well fit by a bounded drift-diffusion model. The fits to the tSD alone furnished parameters that fully predicted the choices (accuracy) of four of the five participants. The quality of the prediction provides compelling evidence that these subjective reports correspond to the terminating process of a decision, rather than a post hoc inference or arbitrary report. Thus, conscious awareness of having reached a decision appears to arise when the brain’s representation of accumulated evidence reaches a threshold or bound. We propose that such a mechanism might play a more widespread role in the “piercing of consciousness" by non-conscious thought processes.
DOI: 10.17632/2mwgk9n8mv.1
title: Experimental data and the executable to test the performance of situation-adaptive policy for container stacking in an automated container terminal

description: Determining where to stack the containers at the storage yard of a container terminal is an important problem because that decision critically affects the efficiency of container handling in the yard and eventually the efficiency of the vessel operations that is considered the most important for the productivity of the whole terminal. One limitation of the stacking policies previously proposed is that they are static in nature. Although good locations for stacking may change as the workload of vessel operation changes, the previous policies are insensitive to such changes. Failure to recommend good locations leads to elongated operations of yard cranes and thus makes them hard to keep up with the workload of vessel operation. In this paper, we propose a method for deriving a dynamic policy that can adapt to the workload of vessel operation that changes over time. Our method derives two boundary polices: one for very high workload and the other for very low. Then, a policy appropriate for any intermediate workload can be synthesized from the two boundary policies through an interpolation. Simulation experiments showed that the proposed policy significantly reduced overall container handling time compared to the previous static policy. When measured in terms of the time the transportation vehicles wait for container handling services, the improvement was about 19%.
DOI: 10.17632/zwshr65gnc.2
title: A Data-set about Surface Damage Identification for Heritage Site Protection: A Mobile Crowdsensing Solution Based on Deep Learning

description: The dataset has been collected to address the general problem of built heritage protection against both deterioration and loss. In order to continuously monitor and update the structural health status, a crowd-sensing solution based on powerful and automatic deep learning technique is proposed. The aim of this solution is to get rid of the limitations of manual and visual damage detection methods that are costly and time consuming. Instead, automatic visual inspection for damage detection on walls is efficiently and effectively performed using an embedded Convolutional Neural Network (CNN). 
This CNN detects the most frequent types of surface damage on wall photos. The study has been conducted in the Kasbah of Algiers where the four following types of damage have been considered: Efflorescence, Spall, Crack, and Mold. The CNN is designed and trained to be integrated into a mobile application for a participatory crowd-sensing solution. The application should be widely and freely deployed, so that any user can take a picture of a suspected damaged wall, and get an instant and automatic diagnosis, through the embedded CNN. 
In this context, we have used MobileNetV2 with a transfer learning approach. A set of real images have been collected and manually annotated, and have been used for training, validation, and test. Extensive experiments have been conducted in order to assess the efficiency and the effectiveness of the proposed solution, using a 5 fold cross validation procedure. 
Obtained results show in particular a mean weighted average precision of 0.868±0.00862 (with a 99% of confidence level) and a mean weighted average recall of 0.84±0.00729 (with a 99% of confidence level). Obtained results show that our method remains effective even when using a small network and medium to low resolution images. 

In order to provide the CNN to be deployed, as well as the dataset used for the test, to the researchers, we have made them available online. Also a source code to perform a quick test on Google Collaboratry is available. The model has been saved in Keras "h5" format, and also in a TensorFlow Lite "tflite" format, ready to be deployed on a mobile application. 

Files published are:
 - "Test_Kasbah_damage.ipynb": python source code to perform the test, in Google Collaboratry.
 - "multi_label_CV_final.h5": the CNN saved in a h5 keras format, to be used for the test, and other purposes. 
 - "test_multi_label.zip": the test dataset used in the paper, saved in a zip compressed file (634 images). 
 - "multi_label_CV_final.tflite" : the CNN saved in a tflite format, ready for deployment in a mobile application.
DOI: 10.7916/d8-4g8y-mv98
title:  Data for: Electricity Load Implications of Space Heating Decarbonization Pathways

description: This dataset provides the source data accessed, organized and cleaned by the authors for the Joule article, "Electricity Load Implications of Space Heating Decarbonization Pathways" (available at https://doi.org/10.1016/j.joule.2019.11.011). The dataset also provides computed results used to develop that article's figures. It further includes an R script that produces electricity and fossil fuel time series for various scenarios underlying the analysis presented in the article.
DOI: 10.7916/d8-rm2n-hv16
title:  Data for: Drug overdose among women in intimate relationships: The role of partner violence, adversity and relationship dependencies

description: Background: This study examines the relationship between experiencing intimate partner violence (IPV), exposure to prior childhood adversity, lifetime adverse experiences, drug-related relationship dependencies with intimate partners and overdose, hospitalization for drug use, friends and family members who overdosed and witnessing overdose. Methodology: This paper included a sample of 201 women who use drugs in heterosexual relationships with criminal justice-involved men in New York City. We included measures of experiencing overdose, hospitalization for drug use, witnessing overdose, and having friends and family who overdosed. Intimate partner violence consisted of either 1) none/verbal only, 2) moderate and 3) severe abuse. Dichotomous indicators of drug-related relationship dependencies included financial support, drug procurement, splitting and pooling drugs. A scale measured cumulative exposure to childhood adversity and lifetime exposures to adverse events. This paper hypothesized that experiencing moderate and severe IPV, drug-related dependencies and exposure to prior childhood and lifetime adversity would be associated with a greater risk of experiencing overdose, hospitalization for drug use, witnessing overdose and having friends and family members who overdosed. Generalized linear modeling with robust variance estimated relative risk ratios that accounted for potential bias in confidence intervals and adjusted for race, ethnicity, education and marital status. Results: We found experiencing moderate or severe IPV was associated with ever being hospitalized for drug use and having a family member who experienced overdose. Experiencing moderate IPV was associated with increased risk of witnessing overdose, Partner drug dependencies were associated with overdose, ever being hospitalized for drug use, witnessing overdose, and having a family member or friend who experienced overdose. Childhood and lifetime adversity exposures were significantly associated with increased risk of overdose, ever being hospitalized for drug use, ever witnessing overdose and having a friend and family member who overdosed. Conclusion: Findings underscore the intersection of experiencing IPV and drug-related relationship dependencies, childhood adversity and lifetime adversity in shaping experiences of and witnessing overdose among women who use drugs. They highlight the urgent need to address IPV, adversity experiences and drug-related relationship dependencies in overdose prevention for women who use drugs.
DOI: 10.7916/d86q3f7s
title:  Data for: A time-stamp mechanism may provide temporal information necessary for egocentric to allocentric spatial transformations

description: Learning the spatial organization of the environment is essential for most animals’ survival. This requires the animal to derive allocentric spatial information from egocentric sensory and motor experience. The neural mechanisms underlying this transformation are mostly unknown. We addressed this problem in electric fish, which can precisely navigate in complete darkness and whose brain circuitry is relatively simple. We conducted the first neural recordings in the preglomerular complex, the thalamic region exclusively connecting the optic tectum with the spatial learning circuits in the dorsolateral pallium. While tectal topographic information was mostly eliminated in preglomerular neurons, the time-intervals between object encounters were precisely encoded. We show that this reliable temporal information, combined with a speed signal, can permit accurate estimation of the distance between encounters, a necessary component of path-integration that enables computing allocentric spatial relations. Our results suggest that similar mechanisms are involved in sequential spatial learning in all vertebrates
DOI: 10.7916/d8-20ht-6z27
title:  Data from the INSTANT Makassar Strait moorings, 2004-2006: current meter, temperature, and salinity sensor records

description: This archive contains time series data records from two moorings in Makassar Strait, Indonesia, deployed during the International Nusantara Stratification and Transport program (INSTANT), 2004-2006. Raw and processed data from current meter, temperature and salinity sensors on the moorings are available. Raw and processed, gridded data from acoustic doppler current profilers (ADCP) on the two moorings are also available. A complete description of the project and archive contents can be found in the accompanying document file (Data_INSTANT-Makassar_Description.pdf).
DOI: 10.7916/d8tx3dq9
title:  Data on Women in Political Parties

description: Gender inequality is a pervasive global phenomenon, particularly in parliamentary representation and the political realm as a whole. Previous scholarship looked for explanations in the countries' national development levels, political regimes and electoral systems. Some scholars searched for answers at the domestic level within societies' religious and cultural value systems. This dissertation departs from prior research by looking beyond the national domestic level into individual party-level explanations for women's political leadership, broadly defined to include their station within parties' decision-making inner structures. A core assumption in this thesis is that political institutions, mainly political parties, are the main vehicles - forklifts -- for women's ascendance to political leadership. This dissertation attempts to identify what party-level characteristics enhance or impede women's leadership in political parties, and how these characteristics vary across different parties. The theory advanced in this dissertation is that party-level characteristics, especially their religiosities and secularisms, influence women's chances in assuming leadership positions within parties' inner structures. I argue that the root of the problematic of women's leadership lies in party variation in religiosity, which can explain variation in women's shares in parties' executive and legislative bodies. This is premised on a multivocal understanding of religions implying that there is a continuum of multiple religiosities and secularisms. Religiosity of political parties refers to the religious components on their political platforms or the extent to which religion penetrates their political agendas. The core argument in this dissertation is that as religiosity in party platforms increases women's leadership is more likely to fall. This implies that in parties with more extensive religious goals women's leadership is likely to prove stunted. It is my contention that parties with extremist religiosity are less accommodating to women's demands for leadership than parties with more secular and civil platforms. The theory of party variation in religiosity and women's leadership is explored in-depth and tested in Lebanon as a single country case-study. Political parties are the unit of analysis and women's leadership in political parties is the main dependent variable. Female nominations for national parliamentary and local municipal councils are other dependent variables. Other party-level characteristics are explored as explanatory variables besides religiosity, notably, institutionalization as indicated by democratic procedures in leadership transitions and decentralized decision-making, pluralism in religious affiliation of members, and the size of female membership.
DOI: 10.7916/d8-htpz-gq16
title:  Data: Skill, Predictability, and Cluster Analysis of Atlantic Tropical Storms and Hurricanes in the ECMWF Monthly Forecasts

description: Data used for the figures in a manuscript published in Monthly Weather Review: Skill, Predictability, and Cluster Analysis of Atlantic Tropical Storms and Hurricanes in the ECMWF Monthly Forecasts. Manuscript authors: Suzana J. Camargo, Frédéric Vitart, Chia-Ying Lee and Michael K. Tippett The tar file uploaded has one information file and many other files for each of the figures (or panels) of the manuscript.