cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23151901
title: Configurational Causal Modeling and Logic Regression

description: Configurational comparative methods (CCMs) and logic regression methods (LRMs) are two families of exploratory methods that employ very different techniques to analyze data generated by causal structures featuring conjunctural causation and equifinality. Aiming for the same by different means carries a substantive synergy potential, which, however, remains untapped so far because representatives of the two frameworks know little of each other. The purpose of this article is to change that. We first level the field for readers from both backgrounds by providing brief introductions to the basic ideas behind CCMs and LRMs. Then, we carve out the strengths and weaknesses of the two method families by benchmarking their performance when applied to binary data under a variety of different discovery contexts. It turns out that CCMs and LRMs have complementary strengths and weaknesses. This creates various promising avenues for cross-validation.
DOI: 10.6084/m9.figshare.23151901.v1
title: Configurational Causal Modeling and Logic Regression

description: Configurational comparative methods (CCMs) and logic regression methods (LRMs) are two families of exploratory methods that employ very different techniques to analyze data generated by causal structures featuring conjunctural causation and equifinality. Aiming for the same by different means carries a substantive synergy potential, which, however, remains untapped so far because representatives of the two frameworks know little of each other. The purpose of this article is to change that. We first level the field for readers from both backgrounds by providing brief introductions to the basic ideas behind CCMs and LRMs. Then, we carve out the strengths and weaknesses of the two method families by benchmarking their performance when applied to binary data under a variety of different discovery contexts. It turns out that CCMs and LRMs have complementary strengths and weaknesses. This creates various promising avenues for cross-validation.
DOI: 10.48331/scielo.opzvfe/fcmoxy
title: Palestra_SciELO_25.05_FINAL.pdf

description: :unav
DOI: 10.48331/scielo.opzvfe
title: Modelos de sucessão de editores. Parte 2 – Experiência de periódicos da Rede SciELO

description: Apresentação da Profa Márkilla Zunete Beckmann-Cavalcante no Seminário ABEC Brasil – SciELO 25 Anos: Modelos de sucessão de editores. Parte 2 – Experiência de periódicos da Rede SciELO. Página do evento: https://25.scielo.org/seminarios/abec-editores-pt2/
DOI: 10.6084/m9.figshare.23151916
title: Supplementary Data from Human locomotion over obstacles reveals real-time prediction of energy expenditure for optimized decision-making

description: Despite decades of evidence revealing a multitude of ways in which animals are adapted to minimize the energy cost of locomotion, little is known about how energy expenditure shapes adaptive gait over complex terrain. Here, we show that the principle of energy optimality in human locomotion can be generalized to complex task-level locomotor behaviours requiring advance decision-making and anticipatory control. Participants completed a forced-choice locomotor task requiring them to choose between discrete multi-step obstacle negotiation strategies to cross a ‘hole’ in the ground. By modelling and analysing mechanical energy cost of transport for preferred and non-preferred manoeuvres over a wide range of obstacle dimensions, we showed that strategy selection was predicted by relative energy cost integrated across the complete multi-step task. Vision-based remote sensing was sufficient to select the strategy associated with the lowest prospective energy cost in advance of obstacle encounter, demonstrating the capacity for energetic optimization of locomotor behaviour in the absence of online proprioceptive or chemosensory feedback mechanisms. We highlight the integrative hierarchic optimizations that are required to facilitate energetically efficient locomotion over complex terrain and propose a new behavioural level linking mechanics, remote sensing and cognition that can be leveraged to explore locomotor control and decision-making.
DOI: 10.6084/m9.figshare.23151916.v1
title: Supplementary Data from Human locomotion over obstacles reveals real-time prediction of energy expenditure for optimized decision-making

description: Despite decades of evidence revealing a multitude of ways in which animals are adapted to minimize the energy cost of locomotion, little is known about how energy expenditure shapes adaptive gait over complex terrain. Here, we show that the principle of energy optimality in human locomotion can be generalized to complex task-level locomotor behaviours requiring advance decision-making and anticipatory control. Participants completed a forced-choice locomotor task requiring them to choose between discrete multi-step obstacle negotiation strategies to cross a ‘hole’ in the ground. By modelling and analysing mechanical energy cost of transport for preferred and non-preferred manoeuvres over a wide range of obstacle dimensions, we showed that strategy selection was predicted by relative energy cost integrated across the complete multi-step task. Vision-based remote sensing was sufficient to select the strategy associated with the lowest prospective energy cost in advance of obstacle encounter, demonstrating the capacity for energetic optimization of locomotor behaviour in the absence of online proprioceptive or chemosensory feedback mechanisms. We highlight the integrative hierarchic optimizations that are required to facilitate energetically efficient locomotion over complex terrain and propose a new behavioural level linking mechanics, remote sensing and cognition that can be leveraged to explore locomotor control and decision-making.
DOI: 10.6073/pasta/3ddb679824593fe0f72a7989dc8c3438
title: Long-term (1962-2019) tree demography on permanent plots in old-growth northern hardwood forests of the Huron Mountains, Marquette Co., Michigan.

description: This package contains tree demographic data from multiple remeasurements of several sets of permanent study plots in old-growth hemlock-northern hardwood forests in northern Marquette Co., Michigan. Plots were established from 1962-2001, with five to nine censuses over the study period. Plots are distributed over a large and diverse area of old-growth forests protected since ca. 1880, with no commercial management and active management limited to maintenance of trails and tracks. Most plots have not experienced stand-originating disturbances for at least 400 years (based on increment cores); three plots are in stands originating following a fire ca. 1830 ("Bourdo plots" 7094-7096). Forests are dominated by sugar maple (Acer saccharum) and eastern hemlock (Tsuga canadensis); secondary species include yellow birch (Betula alleghaniensis), basswood (Tilia americana), and hop-hornbeam (Ostrya virginiana). Soils are variable, ranging from deep sandy outwash to thin layers of rocky till over bedrock. Mortality and diameter growth of all trees were recorded at each remeasurement. Protocols for measurement and stem-mapping are described in Methods. Several publications use some of the data included in this package -- see 'journal citations'. (identified as Kalkaska series) are developed on deep sandy glacial outwash. The plot is within a much larger region of old-growth forest, protected since ca. 1880, with only minimal disturbance associated with access tracks and trails. Numerous other forest community and dendrochronological studies support the interpretation that the area around the study plot has not experienced stand-initiating disturbance for at least 400 years. Initial mapping and measurements (1993-1995 for 2.52 ha; an additional 0.2 ha added in 1999) used a 20x20 m grid established in a near-level area of uniform substrate. All stems were identified to species, mapped on polar coordinates from the center of each grid cell (including, at first measurement, identifiable dead trees, standing and down), and diameter at breast height (dbh) measured to nearest 0.1 cm. All stems were remeasured on a five-year cycle 1999-2019, and new mortality was recorded at each remeasurement. New recruits &gt; 2 cm dbh were added at each remeasurement.
DOI: 10.6084/m9.figshare.23152154
title: <strong>Types of Perfectionists among First-Generation Professionals: A Latent Profile Analysis and Comparison on Mental Health Symptoms</strong>

description: The dataset for this study was collected through cross-sectional survey methods using an 80-item self-report questionnaire administered via Qualtrics. The study obtained Institutional Review Board approval in summer 2022, and data collection commenced shortly thereafter. The survey had a maximum completion time of 12 minutes. The present analysis focuses on 24 items from the original questionnaire.
DOI: 10.6084/m9.figshare.23152154.v1
title: <strong>Types of Perfectionists among First-Generation Professionals: A Latent Profile Analysis and Comparison on Mental Health Symptoms</strong>

description: The dataset for this study was collected through cross-sectional survey methods using an 80-item self-report questionnaire administered via Qualtrics. The study obtained Institutional Review Board approval in summer 2022, and data collection commenced shortly thereafter. The survey had a maximum completion time of 12 minutes. The present analysis focuses on 24 items from the original questionnaire.
DOI: 10.6084/m9.figshare.22728350
title: Retrospective benefit estimation of motorcycle ABSs based on Swiss insurance data

description: With the growing use of motorcycle antilock braking systems (ABSs) in the European market in recent years, we would expect to see a noticeable reduction in the number of motorcycle crashes. Several studies have proved a crash-reducing effect of motorcycle ABSs. The objective of this survey is to expand former studies by analyzing Swiss insurance data to derive estimates about the effect of motorcycle ABSs in Europe. Swiss insurance data are analyzed descriptively, and based on these data, regression models are estimated to determine the effect of motorcycle ABSs retrospectively. Motorcycles equipped with standard ABSs were associated with an 18% reduction in claim frequency compared to motorcycles without ABSs, based on Swiss liability insurance data. These numbers are in line with the results of other studies estimating the benefit of motorcycle ABSs. This study updates and adds to previous European studies by using insurance data.
DOI: 10.6084/m9.figshare.22728350.v1
title: Retrospective benefit estimation of motorcycle ABSs based on Swiss insurance data

description: With the growing use of motorcycle antilock braking systems (ABSs) in the European market in recent years, we would expect to see a noticeable reduction in the number of motorcycle crashes. Several studies have proved a crash-reducing effect of motorcycle ABSs. The objective of this survey is to expand former studies by analyzing Swiss insurance data to derive estimates about the effect of motorcycle ABSs in Europe. Swiss insurance data are analyzed descriptively, and based on these data, regression models are estimated to determine the effect of motorcycle ABSs retrospectively. Motorcycles equipped with standard ABSs were associated with an 18% reduction in claim frequency compared to motorcycles without ABSs, based on Swiss liability insurance data. These numbers are in line with the results of other studies estimating the benefit of motorcycle ABSs. This study updates and adds to previous European studies by using insurance data.
DOI: 10.6084/m9.figshare.22713671
title: Adaptation of a European categorization system for driving-impairing medicines in Iran

description: Road traffic crashes due to impaired driving are a leading cause of preventable injuries and deaths. The purpose of this study was adaptation of a European categorization system for driving-impairing medicines in Iran. DRUID categorization system was used as a leading model to classify medicines. Medicines that were compatible with DRUID categorization system were identified and classified accordingly. Medicines that were not compatible with DRUID categorization system were assessed in an expert panel in terms of possiblity of classification. Instructions for health care providers and advice for patients were prepared based on the medicine’s influence on fitness to drive. Of the 1255 medicines in Iranian pharmacopeia, 488 medicines were classified in four categories. Among classified medicines 43.85% and 25.41% belonged to Category 0 and Category 1. About 13.94%, 10.04%, and 6.76% pertained to Category 2, Category 3, and Multiple categories respectively. Majority of the medicines with moderate and severe adverse influences on driving fitness belonged to the nervous system medicines (72.65%). Most of the medicines with non-existing or minor adverse influences on driving fitness pertained to cardiovascular medicines (16.56%). Majority of uncategorized medicines belonged to Iranian herbal medicines. The current study disclosed that DRUID categorization system was implementable for most of the commonly prescribed medicines. Experimental studies are needed to determine the influence of uncategorized medicines of Iranian pharmacopeia. Other countries with similar settings can adapt DRUID categorization system until they develop their own model using original studies.
DOI: 10.6084/m9.figshare.22713671.v1
title: Adaptation of a European categorization system for driving-impairing medicines in Iran

description: Road traffic crashes due to impaired driving are a leading cause of preventable injuries and deaths. The purpose of this study was adaptation of a European categorization system for driving-impairing medicines in Iran. DRUID categorization system was used as a leading model to classify medicines. Medicines that were compatible with DRUID categorization system were identified and classified accordingly. Medicines that were not compatible with DRUID categorization system were assessed in an expert panel in terms of possiblity of classification. Instructions for health care providers and advice for patients were prepared based on the medicine’s influence on fitness to drive. Of the 1255 medicines in Iranian pharmacopeia, 488 medicines were classified in four categories. Among classified medicines 43.85% and 25.41% belonged to Category 0 and Category 1. About 13.94%, 10.04%, and 6.76% pertained to Category 2, Category 3, and Multiple categories respectively. Majority of the medicines with moderate and severe adverse influences on driving fitness belonged to the nervous system medicines (72.65%). Most of the medicines with non-existing or minor adverse influences on driving fitness pertained to cardiovascular medicines (16.56%). Majority of uncategorized medicines belonged to Iranian herbal medicines. The current study disclosed that DRUID categorization system was implementable for most of the commonly prescribed medicines. Experimental studies are needed to determine the influence of uncategorized medicines of Iranian pharmacopeia. Other countries with similar settings can adapt DRUID categorization system until they develop their own model using original studies.
DOI: 10.6084/m9.figshare.23151947
title: Supplementary materials to IRME 2023

description: The supplementary materials include the Psychopy file, the experimental item set, and the dataset analysed in this study.
DOI: 10.34740/kaggle/dsv/5766447
title: Deep Shape From Template Dataset(DSfTD)
DOI: 10.25345/c5416t88r
title: MassIVE MSV000092029 - Fit for Purpose Approach to Evaluate Detection of Amino Acid Substitutions in Shotgun Proteomics
title: Raw and processed data in support of manuscript, " Fit for Purpose Approach to Evaluate Detection of Amino Acid Substitutions in Shotgun Proteomics." Taylor J. Lundgren, Patricia L. Clark, Matthew M. Champion
DOI: 10.5281/zenodo.7967494
title: TripAdvisor Vietnam Hotel Reviews

description: The TripAdvisor Vietnam Hotel Reviews Dataset is a comprehensive collection of user-generated reviews from the popular online travel platform TripAdvisor. This dataset offers valuable insights into the experiences, opinions, and ratings provided by individuals who have stayed at various hotels across Vietnam. The dataset encompasses many hotels in different cities and regions of Vietnam, including popular tourist destinations such as Hanoi, Ho Chi Minh City, Da Nang, Nha Trang, and more. The reviews cover a diverse spectrum of accommodation types, ranging from budget guesthouses to luxurious resorts, providing a comprehensive representation of the Vietnamese hospitality industry. Each review entry in the dataset includes a rich set of information, offering researchers, developers, and data analysts an in-depth understanding of hotel performance and customer satisfaction. Key attributes of the dataset include: Review Text: The actual text of the review left by the user, which contains detailed descriptions, opinions, and feedback about their hotel experience. Rating: The overall rating provided by the reviewer, typically ranging from 1 to 5 stars, reflects their satisfaction level with the hotel. Date: The review was posted, enabling temporal analysis and tracking changes over time. Location: The hotel's geographic location allows researchers to analyze regional variations in hotel performance and customer preferences. The TripAdvisor Vietnam Hotel Reviews Dataset is valuable for various applications, including sentiment analysis, opinion mining, natural language processing, customer behavior analysis, recommender systems, and more. Researchers can leverage this dataset to gain deep insights into customer experiences, identify patterns, trends, and sentiments, and develop data-driven strategies for the Vietnamese hotel industry.
DOI: 10.5281/zenodo.7967493
title: TripAdvisor Vietnam Hotel Reviews

description: The TripAdvisor Vietnam Hotel Reviews Dataset is a comprehensive collection of user-generated reviews from the popular online travel platform TripAdvisor. This dataset offers valuable insights into the experiences, opinions, and ratings provided by individuals who have stayed at various hotels across Vietnam. The dataset encompasses many hotels in different cities and regions of Vietnam, including popular tourist destinations such as Hanoi, Ho Chi Minh City, Da Nang, Nha Trang, and more. The reviews cover a diverse spectrum of accommodation types, ranging from budget guesthouses to luxurious resorts, providing a comprehensive representation of the Vietnamese hospitality industry. Each review entry in the dataset includes a rich set of information, offering researchers, developers, and data analysts an in-depth understanding of hotel performance and customer satisfaction. Key attributes of the dataset include: Review Text: The actual text of the review left by the user, which contains detailed descriptions, opinions, and feedback about their hotel experience. Rating: The overall rating provided by the reviewer, typically ranging from 1 to 5 stars, reflects their satisfaction level with the hotel. Date: The review was posted, enabling temporal analysis and tracking changes over time. Location: The hotel's geographic location allows researchers to analyze regional variations in hotel performance and customer preferences. The TripAdvisor Vietnam Hotel Reviews Dataset is valuable for various applications, including sentiment analysis, opinion mining, natural language processing, customer behavior analysis, recommender systems, and more. Researchers can leverage this dataset to gain deep insights into customer experiences, identify patterns, trends, and sentiments, and develop data-driven strategies for the Vietnamese hotel industry.
DOI: 10.6084/m9.figshare.23152715
title: Cleaned Data

description: The following is the cleaned data used for analysis. <br> If raw data is required please email Dmcke002@gold.ac.uk
DOI: 10.6084/m9.figshare.23152715.v1
title: Cleaned Data

description: The following is the cleaned data used for analysis. <br> If raw data is required please email Dmcke002@gold.ac.uk
DOI: 10.6084/m9.figshare.23111801
title: Supporting information: Assessing the Impact of Non-native and Invasive Freshwater Bivalves

description: This data contains the list of studies and species used for all analyses.
DOI: 10.6084/m9.figshare.23111801.v2
title: Supporting information: Assessing the Impact of Non-native and Invasive Freshwater Bivalves

description: This data contains the list of studies and species used for all analyses.
DOI: 10.6084/m9.figshare.23111801.v1
title: Supporting information: Assessing the Impact of Non-native and Invasive Freshwater Bivalves

description: This data contains the list of studies and species used for all analyses.
DOI: 10.5281/zenodo.7967559
title: Martingale Diffusion Models -- Checkpoints

description: Pre-trained models for the paper Martingale Diffusion.
DOI: 10.5281/zenodo.7967558
title: Martingale Diffusion Models -- Checkpoints

description: Pre-trained models for the paper Martingale Diffusion.
DOI: 10.5281/zenodo.7967563
title: NOAA Open Data Dissemination: Petabyte scale Earth System Data in the Cloud

description: NOAA Open Data Dissemination (NODD) makes NOAA environmental data publicly and freely available on Amazon Web Services (AWS), Microsoft Azure (Azure), and Google Cloud Platform (GCP). These data can be accessed by anyone with an internet connection and span key datasets across the Earth system including satellite imagery, radar, weather models and observations, ocean databases, and climate data records. NODD works closely with NOAA stakeholders to make these data available consistently and performantly, often with near-real-time latency. Since its inception, NODD has grown to provide public access to more than 24PB of NOAA data and can support billions of requests and petabytes of access daily. NODD growth is driven by use; stake- holders routinely access more than 5PB of NODD data every month. NODD continues to grow to support open petabyte-scale Earth system data science in the cloud by investing in onboarding additional NOAA data, performant data formats, and streaming data platforms. Here, we document how this pro- gram works with a focus on data provenance, discuss the key datasets available through NODD, show how these data are being used, and highlight ways these data can be accessed with the goal of accelerating use of NOAA resources in the cloud.
DOI: 10.5281/zenodo.7967562
title: NOAA Open Data Dissemination: Petabyte scale Earth System Data in the Cloud

description: NOAA Open Data Dissemination (NODD) makes NOAA environmental data publicly and freely available on Amazon Web Services (AWS), Microsoft Azure (Azure), and Google Cloud Platform (GCP). These data can be accessed by anyone with an internet connection and span key datasets across the Earth system including satellite imagery, radar, weather models and observations, ocean databases, and climate data records. NODD works closely with NOAA stakeholders to make these data available consistently and performantly, often with near-real-time latency. Since its inception, NODD has grown to provide public access to more than 24PB of NOAA data and can support billions of requests and petabytes of access daily. NODD growth is driven by use; stake- holders routinely access more than 5PB of NODD data every month. NODD continues to grow to support open petabyte-scale Earth system data science in the cloud by investing in onboarding additional NOAA data, performant data formats, and streaming data platforms. Here, we document how this pro- gram works with a focus on data provenance, discuss the key datasets available through NODD, show how these data are being used, and highlight ways these data can be accessed with the goal of accelerating use of NOAA resources in the cloud.
DOI: 10.57745/xhn5j1
title: read_me.tab

description: :unav
DOI: 10.57745/gxadrq
title: data_Rivers-Moore et al_AGEE_2023.tab

description: :unav
DOI: 10.34740/kaggle/dsv/5766861
title: Balochi Language to English Translation Dataset