cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/y77xtf7w34.1
title: Dataset on the Thermal Performance of Green Roofs and Green Walls in a Temperate Continental Climate: An Experimental Approach in Quito, Ecuador

description: This dataset comprises temperature and humidity measurements obtained from two experimental building prototypes designed to characterise the thermal behaviour of green roofs and green walls in a temperate continental climate. The data collection took place in Quito, Ecuador (-0.120694, -78.498677)
DOI: 10.6084/m9.figshare.27018346
title: Dataset from: "Plasticity in voltage-gated ion channels following overwintering in respiratory motoneurons of American bullfrogs"

description: <b>For a full description of the methods, please check the original paper. </b>Below, please find a description of the files' content.<br>Files on firing rates: Hypoglossal_firing rate, Fast vagus_firing rate, Slow vagus_firing rateTreatment: control and overwintered frogsCurrent: input current (in picoamperes: pA) utilized during current clamp experiments to elicit neuronal firing ratesFiring rate: neuron firing rate (in hertz: Hz) elicited by each input current used<br><br>Files on membrane properties: Hypoglossal_membrane properties, Fast vagus_membrane properties, Slow vagus_membrane propertiesTreatment: control and overwintered frogsResting potential: membrane resting potential (in millivolts: mV)Input resistance: membrane input resistance (in mega Ohm: MΩ)<br><br>Files on latency and rheobase: Hypoglossal_latency and rheobase, Fast vagus_latency and rheobase, Slow vagus_latency and rheobaseTreatment: control and overwintered frogsLatency: latency for first spike (in milli seconds: ms) after current stimulationRheobase: minimum current (in pico amperes: pA) necessary to elicit a spike in the measured neuron<br><br>Files on Calcium currents: Hypoglossal_Ca currents, Fast vagus_Ca currents, Slow vagus_Ca currentsTreatment: control and overwintered frogsVoltage: voltage (in millivolts: mV) used in voltage clamp experiments eliciting measured currents Peak current: current (in pico amperes normalized by capacitance: pA/pF) measured at the peak responseSteady state current: current (in pico amperes normalized by capacitance: pA/pF) measured after the current reached a steady state<br><br>Files on Potassium currents: Hypoglossal_K currents, Fast vagus_K currents, Slow vagus_K currentsTreatment: control and overwintered frogsVoltage: voltage (in millivolts: mV) used in voltage clamp experiments eliciting measured currents Total current: total potassium current (in pico amperes normalized by capacitance: pA/pF) measuredHigh threshold current: high threshold potassium current (in pico amperes normalized by capacitance: pA/pF) measuredA-current: potassium A-current (in pico amperes normalized by capacitance: pA/pF), calculated by subtracting high threshold currents from total current<br><br>Files on sodium persistent inward currents (NaPIC): Hypoglossal_Na persistent inward currents, Fast vagus_Na persistent inward currents, Slow vagus_Na persistent inward currentsTreatment: control and overwintered frogsHolding current: in pico amperes normalized by capacitance (pA/pF)Current amplitude: difference between the holding current and the peak response (in pico amperes normalized by capacitance: pA/pF)Peak voltage: voltage (in milli volts: mV) where the current peak response was identifiedVoltage sensitivity: the slope (in pico amperes over milli volts: pA/mV) of the change in current (in pico amperes: pA) by the change in voltage (in milli volts: mV)
DOI: 10.17632/h9nxgv477j
title: Database for qualitative analysis. Complement of the review: Mapping Current Research on Hydrogen Supply Chain Design for International Trade

description: This dataset contains a database of papers selected for qualitative literature analysis. This database complements a systematic review that lays the groundwork for developing a framework to design a hydrogen supply chain for exportation. The review thoroughly evaluates existing studies on the components of a global hydrogen supply chain network design and identifies key factors for creating an export-oriented hydrogen supply chain network.
DOI: 10.17632/h9nxgv477j.1
title: Database for qualitative analysis. Complement of the review: Mapping Current Research on Hydrogen Supply Chain Design for International Trade

description: This dataset contains a database of papers selected for qualitative literature analysis. This database complements a systematic review that lays the groundwork for developing a framework to design a hydrogen supply chain for exportation. The review thoroughly evaluates existing studies on the components of a global hydrogen supply chain network design and identifies key factors for creating an export-oriented hydrogen supply chain network.
DOI: 10.17632/w3dt6jnf3v.1
title: DataExp_Transposition_SegVerb&Pairs

description: Verbal Segments and Multiple-pair Training in Relational Responding under a Transposition Paradigm in Children.

Several studies have shown that the use of conventional verbal segments (CS) can facilitate the presentation of transposition responses, even in distant tests. In those studies: A) the effect of limiting the use of CS during task resolution was not systematically evaluated; and B) only two stimuli were used during training. In this context, the aim of the present study was to compare the functionality of three types of verbal segments: a) conventional-consistent (CC); b) unconventional-consistent (UC); and c) unconventional-inconsistent (UI), in the presentation of transposition responses, with 1 and 3 pairs of instances training. The findings of the present study suggest that: 1) CC verbal segments only became relevant, as facilitators, when more than one stimulus pair was presented in training; 2) the use of UI resulted in an interfering task that significantly limited relational responding under 3-instance-pair training; and 3) Regardless of the number of pairs of instances in training, participants trained with CCs obtained significantly higher percentages of correct answers in Test than those trained with UCs. The relevance of verbal segments and instance variation to the establishment of transposition responses is discussed. 

The present database shows the results of the described experiment. This is organized for the following manner: 
1. Rows: every row represents the data of one participant, depending of the experimental phase (Training or Test). There were fifty-six participants. 
2. Columns: 
2.1 Participant: the column shows the ID of every participant, since 1 to 56, to every experimental phase (Training and Test).
2.2 Pairs: this shows the experimental condition, that is 1-stimulus-pair training and 3-stimulus-pairs training condition.
2.3 Verbal_segment: this presents the added verbal segment to every experimental group, that is a) conventional-consistent (CC); b) unconventional-consistent (UC); c) unconventional-inconsistent (UI); and d) without verbal segment (Wo). 
2.4 Phase: this indicates the experimental phase, Training and Test.
2.5 Pass_Training: this shows the participants that satisfied the criterion in the Training phase (like “Yes”) or not (“No”), to advance to the Test phase. The criterion in Training was 10 correct consecutive trials.
2.6 Trials/PercentageCorrect: the column shows the total number of required trials to satisfy the criterion in Training or the percentage of correct responses in Test, depending on the experimental phase signaled in the “Phase” column.
2.7 Mean_latency_ms: this indicates the mean of response latency in the Training and Test, for every participant, expressed in milliseconds (ms). 
Note: Missing values in some of the Test Phase rows are due to subjects that did not satisfy the Training criterion of 10 consecutive correct trials.
DOI: 10.17632/w3dt6jnf3v.2
title: Test&Train_Transp_verbseg_pairs_rawlog

description: The present database shows the results of the study "Verbal Segments and Multiple-pair Training in Relational Responding under a Transposition Paradigm in Children". The data are described below.
1. Rows: each row represents the data of one participant in the corresponding experimental phase (Training or Test). For all Test phase rows, the label “NaN” indicates that there is no data because the participant did not meet the Training criterion (i.e., 10 correct consecutive trials, with a maximum of 200 trials) and, consequently, did not advance to the Test.
2. Columns: the last six columns are applicable only to the Testing Phase; thus, there are “NaN” labels for all rows of these columns that correspond to the Training Phase.
2.1 Participant: this column shows an ID for each participant, from 1 to 56.
2.2 Pairs: this indicates the experimental condition, consisting of 1 pair of stimuli in Training and 3 pairs of stimuli in Training.
2.3 Verbal_segment: this presents the verbal segment added to each experimental group, which could be: a) conventional-consistent (CC); b) unconventional-consistent (UC); c) unconventional-inconsistent (UI); or d) no verbal segment (No).
2.4 Phase: this indicates the experimental phase, either Training or Test.
2.5 Pass_Training: this column contains the labels “Yes” and "No," which indicate whether the participant met the criterion in the Training phase to advance to the Test.
2.6 Trials2Crit_CorrectResp: for the Training phase, it shows the total number of trials required to satisfy the Training criterion to advance to the Test. For the Test phase, the column shows the total number of correct trials obtained in the Test (including Close and Distant tests).
2.7 Mean_Latency: this indicates the mean response latency in Training and Test (considering Close and Distant tests), expressed in seconds (sec).
2.8 Log_Trials2Crit_CorrectResp: this column presents the data described in the “Trials2Crit_CorrectResp” column, transformed to a logarithmic scale.
2.9 Log_Mean_Latency: this column shows the data described in the “Mean_Latency” column, transformed to a logarithmic scale.
2.10 Close_CorrectResp: it shows the number of correct trials in the Close test (i.e., one gradient step apart from the stimuli used in Training), with a maximum of 12 trials.
2.11 Distant_CorrectResp: the column shows the number of correct trials in the Distant test (i.e., three gradient steps apart from the stimuli used in Training), with a maximum of 12 trials.
2.12 Close_Latency_sec: indicates the mean response latency in the Close test, expressed in seconds (sec).
2.13 Distance_Latency_sec: indicates the mean response latency in the Distant test, expressed in seconds (sec).
2.14 Log_Close_Latency: this shows the data described in the “Close_Latency_sec” column, transformed to a logarithmic scale.
2.15 Log_Distant_Latency: this displays the data described in the “Distant_Latency_sec” column, transformed to a logarithmic scale.
DOI: 10.17632/2vtbmwsz5b.1
title: DEVELOPMENT OF A COMPUTER APPLICATION FOR HANDICAPPED PEOPLE TO USE GMAIL

description: Handicapped people are a group of Internet and computer users. Some assistive technologies are designed for these people depending on their voice to apply voice commands to use technology. Gmail is one of the freely available and popular e-mail services and it has currently become most of people using Gmail as communication way with each other. The main aim of this paper is to introduce a computer application called HPG that can control and navigation the Gmail by voice commands. H_P_G helps handicapped people to send and receive their own emails, easily login and logout to their Gmail accounts, attach files if desired, and send and receive emails. The advantages of the developed system are that it is very low-cost, easy to use, and helps handicapped people to be in contact with their friends and family using their Gmail accounts. The developed application should also be useful to other researchers who wish to develop computer based applications for the handicapped people.
DOI: 10.17632/dyrtbxjpyg.1
title: CELL-METABOLISM-D-24-00872

description: Raw and processed for generating graphs and raw blots
DOI: 10.17632/pn8zj444jh.1
title: Influence of Nutritional Deficit, Cognitive and Functional Impairment, Frailty, and Quality of Life on Fall Risk in Community-Dwelling Older Adults: A Cross-Sectional Study Conducted in Brazil

description: Introduction/Objective
Falls among older adults are a global health concern, affecting approximately 30% of the elderly and leading to physical and psychological harm. In Brazil, falls affect 13.6% of older adults, with a severe impact on 7.5% of cases, emphasizing the need for preventive actions, especially within Primary Health Care (PHC). Although mobility issues, medication use, and environmental factors are established fall risks, the roles of nutrition, cognitive and functional status, frailty, and quality of life (QoL) are less examined. This study aimed to assess the influence of these multifactorial health aspects on fall risk among older adults enrolled in a Brazilian PHC program.

Method
This cross-sectional study involved 257 older adults (≥60 years) registered in PHC in Santa Cruz, Rio Grande do Norte, from June 2023 to March 2024. Data were collected through structured interviews, using validated instruments to measure fall risk, nutritional and cognitive status, frailty, functionality, and QoL. Data analysis included Chi-square and Mann-Whitney tests for categorical and scalar data, respectively, with Odds Ratios (OR) calculated to identify risk factors. A significance level of 5% (p&lt;0.05) was applied.

Results
Among participants, 39.7% were at risk of falling, with risk factors including nutritional deficits, frailty, and impaired cognition. Notably, preserved cognitive function (OR=5.27), the absence of frailty (OR=4.49), and good nutritional status were associated with lower fall risk. Functional independence and higher QoL in physical and functional domains also correlated with reduced fall risk.

Conclusion
Adequate nutrition, cognitive preservation, low frailty, and functional independence are protective factors against falls in older adults. Interventions targeting these areas could reduce fall risk, underscoring the value of a multidimensional approach in PHC. These findings support preventive strategies focusing on nutrition, cognitive monitoring, and functional training to enhance elderly well-being and safety in community settings.
DOI: 10.17632/pn8zj444jh.2
title: Nutritional, Cognitive, and Functional Deficits, Frailty, and Quality of Life Associated with Fall Risk in Community-Dwelling Older Adults: A Cross-Sectional Study Conducted in Brazil

description: Introduction/Objective
Falls among older adults are a global health concern, affecting approximately 30% of the elderly and leading to physical and psychological harm. In Brazil, falls affect 13.6% of older adults, with a severe impact on 7.5% of cases, emphasizing the need for preventive actions, especially within Primary Health Care (PHC). Although mobility issues, medication use, and environmental factors are established fall risks, the roles of nutrition, cognitive and functional status, frailty, and quality of life (QoL) are less examined. This study aimed to assess the influence of these multifactorial health aspects on fall risk among older adults enrolled in a Brazilian PHC program.

Method
This cross-sectional study involved 257 older adults (≥60 years) registered in PHC in Santa Cruz, Rio Grande do Norte, from June 2023 to March 2024. Data were collected through structured interviews, using validated instruments to measure fall risk, nutritional and cognitive status, frailty, functionality, and QoL. Data analysis included Chi-square and Mann-Whitney tests for categorical and scalar data, respectively, with Odds Ratios (OR) calculated to identify risk factors. A significance level of 5% (p&lt;0.05) was applied.

Results
Among participants, 39.7% were at risk of falling, with risk factors including nutritional deficits, frailty, and impaired cognition. Notably, preserved cognitive function (OR=5.27), the absence of frailty (OR=4.49), and good nutritional status were associated with lower fall risk. Functional independence and higher QoL in physical and functional domains also correlated with reduced fall risk.

Conclusion
Adequate nutrition, cognitive preservation, low frailty, and functional independence are protective factors against falls in older adults. Interventions targeting these areas could reduce fall risk, underscoring the value of a multidimensional approach in PHC. These findings support preventive strategies focusing on nutrition, cognitive monitoring, and functional training to enhance elderly well-being and safety in community settings.
DOI: 10.17632/pn8zj444jh.3
title: Nutritional, Cognitive, and Functional Deficits, Frailty, and Quality of Life Associated with Fall Risk in Community-Dwelling Older Adults: A Cross-Sectional Study Conducted in Brazil

description: Introduction/Objective
Falls among older adults are a global health concern, affecting approximately 30% of the elderly and leading to physical and psychological harm. In Brazil, falls affect 13.6% of older adults, with a severe impact on 7.5% of cases, emphasizing the need for preventive actions, especially within Primary Health Care (PHC). Although mobility issues, medication use, and environmental factors are established fall risks, the roles of nutrition, cognitive and functional status, frailty, and quality of life (QoL) are less examined. This study aimed to assess the influence of these multifactorial health aspects on fall risk among older adults enrolled in a Brazilian PHC program.

Method
This cross-sectional study involved 257 older adults (≥60 years) registered in PHC in Santa Cruz, Rio Grande do Norte, from June 2023 to March 2024. Data were collected through structured interviews, using validated instruments to measure fall risk, nutritional and cognitive status, frailty, functionality, and QoL. Data analysis included Chi-square and Mann-Whitney tests for categorical and scalar data, respectively, with Odds Ratios (OR) calculated to identify risk factors. A significance level of 5% (p&lt;0.05) was applied.

Results
Among participants, 39.7% were at risk of falling, with risk factors including nutritional deficits, frailty, and impaired cognition. Notably, preserved cognitive function (OR=5.27), the absence of frailty (OR=4.49), and good nutritional status were associated with lower fall risk. Functional independence and higher QoL in physical and functional domains also correlated with reduced fall risk.

Conclusion
Adequate nutrition, cognitive preservation, low frailty, and functional independence are protective factors against falls in older adults. Interventions targeting these areas could reduce fall risk, underscoring the value of a multidimensional approach in PHC. These findings support preventive strategies focusing on nutrition, cognitive monitoring, and functional training to enhance elderly well-being and safety in community settings.
DOI: 10.17632/pn8zj444jh.4
title: Nutritional, Cognitive, and Functional Deficits, Frailty, and Quality of Life Associated with Fall Risk in Community-Dwelling Older Adults: A Cross-Sectional Study Conducted in Brazil

description: Introduction/Objective
Falls among older adults are a global health concern, affecting approximately 30% of the elderly and leading to physical and psychological harm. In Brazil, falls affect 13.6% of older adults, with a severe impact on 7.5% of cases, emphasizing the need for preventive actions, especially within Primary Health Care (PHC). Although mobility issues, medication use, and environmental factors are established fall risks, the roles of nutrition, cognitive and functional status, frailty, and quality of life (QoL) are less examined. This study aimed to assess the influence of these multifactorial health aspects on fall risk among older adults enrolled in a Brazilian PHC program.

Method
This cross-sectional study involved 257 older adults (≥60 years) registered in PHC in Santa Cruz, Rio Grande do Norte, from June 2023 to March 2024. Data were collected through structured interviews, using validated instruments to measure fall risk, nutritional and cognitive status, frailty, functionality, and QoL. Data analysis included Chi-square and Mann-Whitney tests for categorical and scalar data, respectively, with Odds Ratios (OR) calculated to identify risk factors. A significance level of 5% (p&lt;0.05) was applied.

Results
Among participants, 39.7% were at risk of falling, with risk factors including nutritional deficits, frailty, and impaired cognition. Notably, preserved cognitive function (OR=5.27), the absence of frailty (OR=4.49), and good nutritional status were associated with lower fall risk. Functional independence and higher QoL in physical and functional domains also correlated with reduced fall risk.

Conclusion
Adequate nutrition, cognitive preservation, low frailty, and functional independence are protective factors against falls in older adults. Interventions targeting these areas could reduce fall risk, underscoring the value of a multidimensional approach in PHC. These findings support preventive strategies focusing on nutrition, cognitive monitoring, and functional training to enhance elderly well-being and safety in community settings.
DOI: 10.15468/dl.67dvwk
title: Occurrence Download

description: A dataset containing 102917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ireland",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2014-2024"
 ]
}

 The dataset includes 102917 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013054-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xkgm4r82jk.1
title: Jet Grout Dataset for Transformer Encoder Model

description: This dataset includes jet grout dataset used for Transformer Encoder model.
DOI: 10.17632/xw3zjwbw2w.1
title: Lightweight target detection for large-field ddPCR images based on improved YOLOv5

description: The dataset and code used in this study are crucial for advancing the accurate detection of positive microchambers in large-field ddPCR imaging. The provided dataset includes annotated ddPCR images in YOLO format, stored in the `ddpcr320/` folder. The codebase features the improved YOLOv5 model, integrating BiFPN, GhostConv, C3Ghost modules, SimAM attention mechanism, and network pruning, among other custom modifications. The `train.py` and `detect.py` scripts handle training and detection tasks, while `dataset.ipynb` demonstrates the dataset creation and splitting processes, as well as dataset processing and augmentation. The graphical user interface, developed using PyQt5 and implemented in `main_win.py`, facilitates image processing and result analysis for users. The project structure, `ddpcr_yolov5`, is systematically organized, with detailed instructions provided in the README.md file.
DOI: 10.17632/xw3zjwbw2w.2
title: Lightweight target detection for large-field ddPCR images based on improved YOLOv5

description: The dataset and code used in this study are crucial for advancing the accurate detection of positive microchambers in large-field ddPCR imaging. The provided dataset includes annotated ddPCR images in YOLO format, stored in the `ddpcr320/` folder. The codebase features the improved YOLOv5 model, integrating BiFPN, GhostConv, C3Ghost modules, SimAM attention mechanism, and network pruning, among other custom modifications. The `train.py` and `detect.py` scripts handle training and detection tasks, while `dataset.ipynb` demonstrates the dataset creation and splitting processes, as well as dataset processing and augmentation. The graphical user interface, developed using PyQt5 and implemented in `main_win.py`, facilitates image processing and result analysis for users. The project structure, `ddpcr_yolov5`, is systematically organized, with detailed instructions provided in the README.md file.