cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/d55k8wgxt5.1
title: Datasets for Tuning the reactivity of carbon surfaces with oxygen-containing functional groups

description: Oxygen-containing carbons are promising supports and metal-free catalysts for many reactions. However, distinguishing the role of various oxygen functional groups and quantifying and tuning each functionality is still difficult. Here we investigate the role of Brønsted acidic oxygen-containing functional groups by synthesizing a diverse library of materials. By combining acid-catalyzed elimination probe chemistry, comprehensive surface characterizations (XPS, AP-XPS, TPDE-MS), 15N isotopically labeled acetonitrile adsorption coupled with magic-angle spinning nuclear magnetic resonance (MAS NMR), machine learning, and density-functional theory calculations (DFT), we demonstrate that phenolic (-OH) is the main acid site in gas-phase chemistries and unexpectedly Ar/R-carboxylic (-COOH) groups are much less acidic than -OH in the graphitized mesoporous carbon due to electron density delocalization induced by the aromatic rings of graphitic carbon. The methodology can identify acidic sites in oxygenated carbon materials in solid acid catalyst-driven chemistry.
DOI: 10.48567/xntr-dy49
title: Pegasus North Automatic Weather Station, 2004 Reader format three-hour observational data.
DOI: 10.48567/405h-b268
title: Pegasus South Automatic Weather Station, 2004 Reader format three-hour observational data.
DOI: 10.48567/v2td-gy30
title: Possession Island Automatic Weather Station, 2004 Reader format three-hour observational data.
DOI: 10.17632/kmtrgb4jf6.1
title: VRPDPTW

description: This is real-world instances about VRP with simultaneous delivery and pickup and time windows.
DOI: 10.17632/kmtrgb4jf6.2
title: VRPDPTW

description: This is real-world instances about VRP with simultaneous delivery and pickup and time windows.
DOI: 10.17632/m6s3r6fzzs.1
title: Kinematic priming of action predictions

description: PrimedActionCategorization.csv 
Kinematic primes consisted of 30 grasp-to-pour and 30 grasp-to-drink movements. On each trial, participants observed either a grasp-to-drink or grasp-to-pour prime, followed by a pouring or drinking action probe. The action probe consisted of a photograph of a male agent drinking or pouring. We manipulated the relationship between the kinematic prime and the action probe on the intention dimension so that it was congruent in 75% of the trials and incongruent in 25% of the trials. Participants were asked to indicate whether the agent depicted in the action probe drank or poured. Participants then performed three blocks of 80 trials (60 congruent, 20 incongruent trials), for a total of 240 trials. Eye movements were monitored using an EyeLink 1000 Plus desk-mounted eye tracker.
Each row corresponds to a trial, with columns for the following data.
Subject: a number identifier for each subject
Video: a number identifier for each video
Prime_Intention: the intention of the reach-to-grasp kinematic prime
Probe_Intention: the intention of the action probe
Congruency: the relationship between the kinematic prime and action probe
Accuracy: correct probe intention discrimination choice of the subject (0/1)
RT: the response time of the subject (ms)
Fixation_Area: the quadrant on the probe image that the participant first fixated
Fixation_Relevant: if the first fixation is directed at the region of the probe that contained task-relevant information (0/1)
Read_ScalarProd: the readout scalar product (single-trial kinematic readout)
Enc_ScalarProd: the encoding scalar product (single-trial kinematic encoding)

IntentionDiscrimination.csv
One hour after completing the primed action categorization task, participants performed an intention discrimination task on the stimuli used as kinematic primes in the primed action categorization task. Task structure conformed to a 2AFC design. Each trial displayed a reach-to-grasp act, participants were asked to indicate the intention of the observed reaching act. After response, participants were requested to rate the confidence of their choice on a four-level scale. Participants performed 4 blocks of 60 trials, for a total of 240 trials. Each video was viewed once in each block.
Each row corresponds to a trial, with columns for the following data.
Subject: a number identifier for each subject
Video: a number identifier for each video
Video_Intention: the intention of the reach-to-grasp act displayed
Accuracy: correct intention discrimination choice of the subject (0/1)
RT: the response time of the subject (ms)
Conf_Rating: the confidence rating of the subject (1-4)
Read_ScalarProd: the readout scalar product (single-trial kinematic readout)
Enc_ScalarProd: the encoding scalar product (single-trial kinematic encoding)
Read_Intention: the intention predicted by the readout model
Read_Accuracy: correct intention choice prediction of the readout model (0/1)
DOI: 10.17632/m6s3r6fzzs.2
title: Kinematic priming of action predictions

description: PrimedActionCategorization.csv 
Kinematic primes consisted of 30 grasp-to-pour and 30 grasp-to-drink movements. On each trial, participants observed either a grasp-to-drink or grasp-to-pour prime, followed by a pouring or drinking action probe. The action probe consisted of a photograph of a male agent drinking or pouring. We manipulated the relationship between the kinematic prime and the action probe on the intention dimension so that it was congruent in 75% of the trials and incongruent in 25% of the trials. Participants were asked to indicate whether the agent depicted in the action probe drank or poured. Participants then performed three blocks of 80 trials (60 congruent, 20 incongruent trials), for a total of 240 trials. Eye movements were monitored using an EyeLink 1000 Plus desk-mounted eye tracker.
Each row corresponds to a trial, with columns for the following data.
Subject: a number identifier for each subject
Video: a number identifier for each video
Prime_Intention: the intention of the reach-to-grasp kinematic prime
Probe_Intention: the intention of the action probe
Congruency: the relationship between the kinematic prime and action probe
Accuracy: correct probe intention discrimination choice of the subject (0/1)
RT: the response time of the subject (ms)
Fixation_Area: the quadrant on the probe image that the participant first fixated
Fixation_Relevant: if the first fixation is directed at the region of the probe that contained task-relevant information (0/1)
Readout: intention information read out by perceivers from single-trial movement kinematics
Encoding:  intention information encoded in single-trial movement kinematics

IntentionDiscrimination.csv
One hour after completing the primed action categorization task, participants performed an intention discrimination task on the stimuli used as kinematic primes in the primed action categorization task. Task structure conformed to a 2AFC design. Each trial displayed a reach-to-grasp act, participants were asked to indicate the intention of the observed reaching act. After response, participants were requested to rate the confidence of their choice on a four-level scale. Participants performed 4 blocks of 60 trials, for a total of 240 trials. Each video was viewed once in each block.
Each row corresponds to a trial, with columns for the following data.
Subject: a number identifier for each subject
Video: a number identifier for each video
Video_Intention: the intention of the reach-to-grasp act displayed
Accuracy: correct intention discrimination choice of the subject (0/1)
RT: the response time of the subject (ms)
Conf_Rating: the confidence rating of the subject (1-4)
Readout: intention information read out by perceivers from single-trial movement kinematics
Encoding:  intention information encoded in single-trial movement kinematics
Read_Intention: the intention predicted by the readout model
Read_Accuracy: correct intention choice prediction of the readout model (0/1)
DOI: 10.17632/9bjh3pnjsv.1
title: Supplementary materials for paper "Derivation of economic values for important traits of Chinese Holstein dairy cows using a bio-economic model"

description: Table S1. Critical input parameters for bio-economic model for the typical dairy farm
Table S2. Revenues and variable costs affected by the phenotypic change of each trait
Figure S1. (a) Linear relationship between IFLc and CI. (b) Linear relationship between ICF and CI.
DOI: 10.48567/9x4c-sn95
title: Relay Station Automatic Weather Station, 2004 Reader format three-hour observational data.
DOI: 10.17632/23746xpmmr.1
title: Supplemental Figures and Table of "Melanoma of the Lower Limbs and Hips: A Surveillance, Epidemiology, and End Results Analysis of Epidemiology and Survival 2000–2019"

description: Supplemental Figures and Table
DOI: 10.17632/23746xpmmr.2
title: Supplemental Figures and Table of "Melanoma of the Lower Limbs and Hips: A Surveillance, Epidemiology, and End Results Analysis of Epidemiology and Survival 2000–2019"

description: Supplemental Figures and Table
DOI: 10.17632/nkc93ps4mk.1
title: Intramedullary fixation of fragility fractures of the ankle.  Fibula nails give superior functional outcomes with fewer complications compared to hindfoot nails.

description: raw data for study
DOI: 10.17632/tx6w2pgwpd.1
title: The T-cell-directed vaccine BNT162b4 encoding conserved non-spike antigens protects animals from severe SARS-CoV-2 infection - Arieta, et al 

description: Table S4 - Peptide-spectral matches from DDA MS analysis on BNT162b4-transfected A375 MAPTAC cell lines (Related to Figure 2 and Table 2).
DOI: 10.17632/wk7nv8sz98.1
title: Popularity of surgical and pharmacological obesity treatment methods searched by Google users: the retrospective analysis of Google Trends statistics in 2004-2022

description: Background
Many individuals search for obesity treatment options on the Internet. We aimed to analyze the popularity of pharmacological and surgical obesity treatment methods searched by Google users.
Methods
We used Google Trends to identify topics representing: recommended surgical methods (n=9), recommended pharmacological methods (n=10), and not recommended pharmacological methods (n=34). The data was generated for 2004-2022 and 2020-2022. Relative Search Volume (RSV) was adjusted using "Gastric bypass surgery" as a benchmark. We analyzed the geographical and temporal trends of the topics.
Results
In 2004-2022, the topics representing recommended surgical methods numerically gained the most popularity among Google users, but in 2020-2022 the recommended drugs exceeded other obesity treatment methods. The most popular individual topics since 2004 were "Flaxseed", "Spirulina", "Carnitine", "Bariatric surgery", and "Orlistat". The most dynamic increases of searches since 2004 were observed for "Sleeve gastrectomy", "Curcumin", "Psyllium" and "Bupropion / Naltrexon". Since 2018, topics representing GLP-1 analogs such as "Semaglutide" and "Saxenda" revealed exponential increases in RSV, causing that "Semaglutide" to become the 4th most popular topic in 2020-2022.
Conclusions
Google users across the world were the most interested in topics representing bariatric surgery, but recently recommended drugs for the treatment of obesity gained the most attention. The most popular individual topics were dietary supplements with uncertain effects on weight loss. Professionals should recommend reliable Internet sources about obesity.
DOI: 10.17632/wk7nv8sz98.2
title: Popularity of surgical and pharmacological obesity treatment methods searched by Google users: the retrospective analysis of Google Trends statistics in 2004-2022

description: Background
Many individuals search for obesity treatment options on the Internet. We aimed to analyze the popularity of pharmacological and surgical obesity treatment methods searched by Google users.
Methods
We used Google Trends to identify topics representing: recommended surgical methods (n=9), recommended pharmacological methods (n=10), and not recommended pharmacological methods (n=34). The data was generated for 2004-2022 and 2020-2022. Relative Search Volume (RSV) was adjusted using "Gastric bypass surgery" as a benchmark. We analyzed the geographical and temporal trends of the topics.
Results
In 2004-2022, the topics representing recommended surgical methods numerically gained the most popularity among Google users, but in 2020-2022 the recommended drugs exceeded other obesity treatment methods. The most popular individual topics since 2004 were "Flaxseed", "Spirulina", "Carnitine", "Bariatric surgery", and "Orlistat". The most dynamic increases of searches since 2004 were observed for "Sleeve gastrectomy", "Curcumin", "Psyllium" and "Bupropion / Naltrexon". Since 2018, topics representing GLP-1 analogs such as "Semaglutide" and "Saxenda" revealed exponential increases in RSV, causing that "Semaglutide" to become the 4th most popular topic in 2020-2022.
Conclusions
Google users across the world were the most interested in topics representing bariatric surgery, but recently recommended drugs for the treatment of obesity gained the most attention. The most popular individual topics were dietary supplements with uncertain effects on weight loss. Professionals should recommend reliable Internet sources about obesity.
DOI: 10.17632/647g6s3v6n.1
title: Case related to the period of Iddat in matters of religious conversion to Islam, laloo vs SSP Mirpurkhas

description: The case was adjudicated in view of the Criminal Procedure Code (v of 1998), s.561-A rule Misi—chang of faith—Marriage without divorce---Recovery of wife, and the recently passed Sindh Hindus Marriage (Amendment) Ac (XILIX of 2018). See Cr.Misc. Appln (S) 177/2022 Hyderabad (491 Cr.P.C), Laloo vs SSP District Mirpurkhas & Others.  https://cases.shc.gov.pk/hyd/web/index.php?r=cases%2Fview&id=101191 . see  also: PLD 2023 Sindh 53.
DOI: 10.17632/fsphwk2sk4.1
title: Conceptual Modeling Versus User Story Mapping: Which is the Best Approach to Agile Requirements Engineering?

description: It is the appdices of the paper Conceptual Modeling Versus User Story Mapping: Which is the Best Approach to Agile Requirements Engineering? accepted at RCIS2021
DOI: 10.17632/g6b39zxck4.8
title: Global Burden of Disease analysis dataset of noncommunicable disease outcomes, risk factors, and SAS codes

description: This formatted dataset (wtedCVDRfsCov2017) originates from raw data files from the Institute of Health Metrics and Evaluation (IHME) Global Burden of Disease Study (GBD2017) affiliated with the University of Washington. We are volunteer collaborators with IHME and not employed by IHME or the University of Washington. 

The population weighted GBD2017 data are on male and female cohorts ages 15-69 years including noncommunicable disease (NCD), body mass index (BMI), cardiovascular disease (CVD), and other health outcomes and associated dietary, metabolic, and other risk factors. 
 The purpose of creating this formatted database is to explore the univariate and multiple regression correlations of health outcomes with risk factors. Our research hypothesis is that we can successfully model NCD, BMI, CVD, and other health outcomes with their attributable risks.
 
In a subset of 1000 male and female cohorts, representing about 1 billion people with the highest animal food consumption, we derived a multiple regression formula with risk factors equated to their population attributable risk percents (PAR%s). 

We compared the associations of GBD NCD outcomes and dietary risk factors with the EAT-Lancet Commission Planetary Health Diet recommendations. 

We derived a BMI multiple regression risk factor formula that satisfied all nine Bradford Hill causality criteria for epidemiology research.  

We found that animal products and added fats are negatively correlated with CVD early deaths worldwide but positively correlated with CVD early deaths with high quantities of animal foods and added fats. We interpret this as showing that optimal cardiovascular outcomes come with moderate (not low and not high) intakes of animal foods and added fats. 

For questions, please email davidkcundiff@gmail.com. 
Thanks.
DOI: 10.17632/g6b39zxck4.9
title: Global Burden of Disease analysis dataset of noncommunicable disease outcomes, risk factors, and SAS codes

description: This formatted dataset (wtedCVDRfsCov2017) originates from raw data files from the Institute of Health Metrics and Evaluation (IHME) Global Burden of Disease Study (GBD2017) affiliated with the University of Washington. We are volunteer collaborators with IHME and not employed by IHME or the University of Washington. 

The population weighted GBD2017 data are on male and female cohorts ages 15-69 years including noncommunicable disease (NCD), body mass index (BMI), cardiovascular disease (CVD), and other health outcomes and associated dietary, metabolic, and other risk factors. 
 The purpose of creating this formatted database is to explore the univariate and multiple regression correlations of health outcomes with risk factors. Our research hypothesis is that we can successfully model NCD, BMI, CVD, and other health outcomes with their attributable risks.
 
In a subset of 1000 male and female cohorts, representing about 1 billion people with the highest animal food consumption, we derived a multiple regression formula with risk factors equated to their population attributable risk percents (PAR%s). 

We compared the associations of GBD NCD outcomes and dietary risk factors with the EAT-Lancet Commission Planetary Health Diet recommendations. 

We derived a BMI multiple regression risk factor formula that satisfied all nine Bradford Hill causality criteria for epidemiology research.  

We found that animal products and added fats are negatively correlated with CVD early deaths worldwide but positively correlated with CVD early deaths with high quantities of animal foods and added fats. We interpret this as showing that optimal cardiovascular outcomes come with moderate (not low and not high) intakes of animal foods and added fats. 

For questions, please email davidkcundiff@gmail.com. 
Thanks.
DOI: 10.17632/g6b39zxck4.2
title: IHME GBD CVD risk factors

description: This formatted dataset originates from raw data files from the Institute of Health Metrics and Evaluation Global Burden of Disease (GBD2017). It is population weighted worldwide data on male and female cohorts ages 15-69 years including cardiovascular disease early death and associated dietary, metabolic and other risk factors. The purpose of creating this formatted database is to explore the univariate and multiple regression correlations of cardiovascular early deaths and other health outcomes with risk factors.
DOI: 10.17632/g6b39zxck4.3
title: Institute of Health Metrics and Evaluation Global Burden of Disease analysis dataset of cardiovascular disease outcomes, risk factors, and SAS codes

description: This formatted dataset originates from raw data files from the Institute of Health Metrics and Evaluation Global Burden of Disease (GBD2017). It is population weighted worldwide data on male and female cohorts ages 15-69 years including cardiovascular disease early death and associated dietary, metabolic and other risk factors. The purpose of creating this formatted database is to explore the univariate and multiple regression correlations of cardiovascular early deaths and other health outcomes with risk factors. Our research hypothesis is that we can successfully apply artificial intelligence to model cardiovascular disease outcomes with risk factors. We found that fat-soluble vitamin containing foods (animal products) and added fats are negatively correlated with CVD early deaths worldwide but positively correlated with CVD early deaths in high fat-soluble vitamin cohorts. We interpret this as showing that optimal cardiovascular outcomes come with moderate (not low and not high) intakes of animal foods and added fats. You are invited to download the dataset, the associated SAS code to access the dataset, and the tables that have resulted from the analysis. Please comment on the article by indicating what you found by exploring the dataset with the provided SAS codes. Please say whether or not you found the outputs from the SAS codes accurately reflected the tables provided and the tables in the published article. If you use our data to reproduce our findings and comment on your findings on the MedRxIV website and would like to be recognized, we will be happy to list you as a contributor when the article is summited to JAMA. For questions, please email davidkcundiff@gmail.com. Thanks.
DOI: 10.17632/g6b39zxck4.4
title: Global Burden of Disease analysis dataset of cardiovascular disease outcomes, risk factors, and SAS codes

description: This formatted dataset originates from raw data files from the Institute of Health Metrics and Evaluation Global Burden of Disease (GBD2017). It is population weighted worldwide data on male and female cohorts ages 15-69 years including cardiovascular disease early death and associated dietary, metabolic and other risk factors. The purpose of creating this formatted database is to explore the univariate and multiple regression correlations of cardiovascular early deaths and other health outcomes with risk factors. Our research hypothesis is that we can successfully apply artificial intelligence to model cardiovascular disease outcomes with risk factors. We found that fat-soluble vitamin containing foods (animal products) and added fats are negatively correlated with CVD early deaths worldwide but positively correlated with CVD early deaths in high fat-soluble vitamin cohorts. We interpret this as showing that optimal cardiovascular outcomes come with moderate (not low and not high) intakes of animal foods and added fats. You are invited to download the dataset, the associated SAS code to access the dataset, and the tables that have resulted from the analysis. Please comment on the article by indicating what you found by exploring the dataset with the provided SAS codes. Please say whether or not you found the outputs from the SAS codes accurately reflected the tables provided and the tables in the published article. If you use our data to reproduce our findings and comment on your findings on the MedRxIV website (https://www.medrxiv.org/content/10.1101/2021.04.17.21255675v4) and would like to be recognized, we will be happy to list you as a contributor when the article is summited to JAMA. For questions, please email davidkcundiff@gmail.com. Thanks.