cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2hkhwnx7sb
title: Anxiety Academic in Students University of Third Semester : An Analysis of the IDARE Test in a University in the City of Cali.

description: Academic training involves not only the development of cognitive skills but also the adequate management of emotions. This study analyzes the levels of anxiety among third-semester Psychology students from the evening program at the University of Cali campus, using the State-Trait Anxiety Inventory (IDARE). The results reveal moderate to high levels of anxiety, highlighting the need to implement emotional regulation strategies to enhance students' well -being and academic performance.
DOI: 10.17632/2hkhwnx7sb.1
title: Anxiety Academic in Students University of Third Semester : An Analysis of the IDARE Test in a University in the City of Cali.

description: Academic training involves not only the development of cognitive skills but also the adequate management of emotions. This study analyzes the levels of anxiety among third-semester Psychology students from the evening program at the University of Cali campus, using the State-Trait Anxiety Inventory (IDARE). The results reveal moderate to high levels of anxiety, highlighting the need to implement emotional regulation strategies to enhance students' well -being and academic performance.
DOI: 10.17632/pngsd7ky6k
title: General incidence of stress in third-semester psychology students at to university in the city of Santiago de Cali.

description: The application of the psychological instrument (EAE-G) to the population of third-semester psychology students at to university in the city of Santiago of Cali, who are in the evening shift, allows for an analysis, obtaining quantitative results, revealing information that aims to determine the general stress in students.
These findings make it possible to formulate recommendations for academic and psychological interventions that promote the integral well-being of students.
DOI: 10.17632/pngsd7ky6k.1
title: General incidence of stress in third-semester psychology students at to university in the city of Santiago de Cali.

description: The application of the psychological instrument (EAE-G) to the population of third-semester psychology students at to university in the city of Santiago of Cali, who are in the evening shift, allows for an analysis, obtaining quantitative results, revealing information that aims to determine the general stress in students.
These findings make it possible to formulate recommendations for academic and psychological interventions that promote the integral well-being of students.
DOI: 10.17632/yr9hkw2vkm
title: Analysis of Emotional Intelligence in Night Psychology Students through the Application of TMMS-24.

description: The purpose of this article is to present the results of the application of the TMMS-24 (Trait Meta-Mood Scale) questionnaire in a sample of university students from the evening Psychology program. This instrument evaluates three dimensions of emotional intelligence: emotional perception, emotional comprehension, and emotional regulation. The sample consisted of third-semester students. The data were analyzed using quantitative tools that made it possible to identify the levels of emotional competence by dimension. The results showed a general trend toward medium levels of emotional intelligence, with a higher proportion of students scoring high in emotional perception and low in comprehension. These findings reveal the 
current level of emotional intelligence among psychology students in relation to their daily lives and interpersonal relationships, as well as how they interact with their emotions and the extent to which these may affect their everyday experiences.
DOI: 10.17632/yr9hkw2vkm.1
title: Analysis of Emotional Intelligence in Night Psychology Students through the Application of TMMS-24.

description: The purpose of this article is to present the results of the application of the TMMS-24 (Trait Meta-Mood Scale) questionnaire in a sample of university students from the evening Psychology program. This instrument evaluates three dimensions of emotional intelligence: emotional perception, emotional comprehension, and emotional regulation. The sample consisted of third-semester students. The data were analyzed using quantitative tools that made it possible to identify the levels of emotional competence by dimension. The results showed a general trend toward medium levels of emotional intelligence, with a higher proportion of students scoring high in emotional perception and low in comprehension. These findings reveal the 
current level of emotional intelligence among psychology students in relation to their daily lives and interpersonal relationships, as well as how they interact with their emotions and the extent to which these may affect their everyday experiences.
DOI: 10.15468/dl.zpzzwh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Finella pupoides",
 "Country is Syrian Arab Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039833-250920141307145/datasets/export for details.
DOI: 10.15468/dl.wv5zdg
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Finella pupoides",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039834-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6zx5tgxgbz.2
title: Mind-Wandering Uncertainty S1

description: Cleaned data set for correlational study observing the relationships between mind-wandering, uncertainty, intolerance of uncertainty, and affect. We hypothesized that intolerance of uncertainty would be positively related to mind-wandering. We found that felt uncertainty and trait intolerance of uncertainty were positively related to both spontaneous and deliberate mind-wandering. Exploratory analyses indicated that the relationship between intolerance of uncertainty and spontaneous mind-wandering was partially mediated by negative affect, but not positive affect. Additionally, we found an indirect effect of intolerance of uncertainty on deliberate mind-wandering via positive affect, but not negative affect. We also found that trait intolerance of uncertainty and felt uncertainty were strongly related.
DOI: 10.17632/tm55rs658j
title: Mind-Wandering Uncertainty S2

description: Cleaned data set for an experimental study looking at the relationship between uncertainty, intolerance of uncertainty, and mind-wandering. We hypothesized that inducing uncertainty would increase mind-wandering during a subsequent unrelated reading task. Unexpectedly, this manipulation did not affect felt uncertainty but did affect intolerance of uncertainty, such that participants assigned to the uncertain condition reported greater intolerance of uncertainty. Exploratory analyses found that intolerance of uncertainty mediated the effect of thinking about uncertainty on mind-wandering.
DOI: 10.17632/tm55rs658j.2
title: Mind-Wandering Uncertainty S2

description: Cleaned data set for an experimental study looking at the relationship between uncertainty, intolerance of uncertainty, and mind-wandering. We hypothesized that inducing uncertainty would increase mind-wandering during a subsequent unrelated reading task. Unexpectedly, this manipulation did not affect felt uncertainty but did affect intolerance of uncertainty, such that participants assigned to the uncertain condition reported greater intolerance of uncertainty. Exploratory analyses found that intolerance of uncertainty mediated the effect of thinking about uncertainty on mind-wandering.
DOI: 10.17632/t42rmjwf9t
title: Analysis of the utility of the MoCA Test for the cognitive assessment of a university population in Cali.

description: This research study focused on the evaluation of the Montreal Cognitive Assessment (MoCA) test applied to a population of university students from the Faculty of Psychology in the city of Cali. The main objective was to analyze the cognitive performance of these students using this screening tool and to detect possible trends or characteristics in their results. The Montreal Cognitive Assessment (MoCA) is a brief test designed to evaluate various cognitive functions, such as memory, orientation, language, concentration, executive function, and visuospatial skills. This test takes approximately 10 minutes and has a maximum score of 30 points, with a score of 26 or above considered within the normal range.
The results showed an average performance. Specifically, 21.01% of university students had low levels in executive function and visuospatial skills, while 46.38% scored at a medium level, and 32.61% scored high. In the identification category, only two levels were observed: 3.67% at a medium level and 96.33% at a high level, indicating that no students scored low. In the attention and concentration category, 18.30% scored low, 42.48% scored at a medium level, and 39.22% scored high. In the language category, 5.81% scored low, 27.91% medium, and 66.28% high. Regarding the abstraction domain, 1.37%
DOI: 10.17632/t42rmjwf9t.1
title: Analysis of the utility of the MoCA Test for the cognitive assessment of a university population in Cali.

description: This research study focused on the evaluation of the Montreal Cognitive Assessment (MoCA) test applied to a population of university students from the Faculty of Psychology in the city of Cali. The main objective was to analyze the cognitive performance of these students using this screening tool and to detect possible trends or characteristics in their results. The Montreal Cognitive Assessment (MoCA) is a brief test designed to evaluate various cognitive functions, such as memory, orientation, language, concentration, executive function, and visuospatial skills. This test takes approximately 10 minutes and has a maximum score of 30 points, with a score of 26 or above considered within the normal range.
The results showed an average performance. Specifically, 21.01% of university students had low levels in executive function and visuospatial skills, while 46.38% scored at a medium level, and 32.61% scored high. In the identification category, only two levels were observed: 3.67% at a medium level and 96.33% at a high level, indicating that no students scored low. In the attention and concentration category, 18.30% scored low, 42.48% scored at a medium level, and 39.22% scored high. In the language category, 5.81% scored low, 27.91% medium, and 66.28% high. Regarding the abstraction domain, 1.37%
DOI: 10.6084/m9.figshare.29943329
title: Data on fertilizers, yields, nutrient balances and nutrient use efficiencies for wheat, maize and sunflower in Ukraine

description: The war in Ukraine has not only disrupted agricultural exports and threatened global food security but also intensified underlying nutrient imbalances and their environmental consequences. Our analysis shows that, after a period of nutrient shortages in the early 1990s, fertilizer application in Ukraine rose steadily between 2000 and 2021, only to decline sharply following the 2022 invasion. Nutrient balance calculations for wheat, maize, and sunflower indicate continuous depletion of soil phosphorus (P) and potassium (K) since 1991, rising nitrogen (N) surpluses during 2000–2021, and severe NPK deficits triggered by the ongoing war. Looking ahead to 2030 through five alternative scenarios, we demonstrate that implementing an Integrated Nutrient Management strategy, built on manure recycling, precision fertilizer use and wider cultivation of legumes, could safeguard yields, cut nutrient surpluses, enhance nutrient use efficiency to 80–89% and markedly reduce environmental degradation and soil nutrient depletion.
DOI: 10.6084/m9.figshare.29943329.v1
title: Data on fertilizers, yields, nutrient balances and nutrient use efficiencies for wheat, maize and sunflower in Ukraine

description: The war in Ukraine has not only disrupted agricultural exports and threatened global food security but also intensified underlying nutrient imbalances and their environmental consequences. Our analysis shows that, after a period of nutrient shortages in the early 1990s, fertilizer application in Ukraine rose steadily between 2000 and 2021, only to decline sharply following the 2022 invasion. Nutrient balance calculations for wheat, maize, and sunflower indicate continuous depletion of soil phosphorus (P) and potassium (K) since 1991, rising nitrogen (N) surpluses during 2000–2021, and severe NPK deficits triggered by the ongoing war. Looking ahead to 2030 through five alternative scenarios, we demonstrate that implementing an Integrated Nutrient Management strategy, built on manure recycling, precision fertilizer use and wider cultivation of legumes, could safeguard yields, cut nutrient surpluses, enhance nutrient use efficiency to 80–89% and markedly reduce environmental degradation and soil nutrient depletion.
DOI: 10.17632/pnd3dhh4vw
title: Data for: A Framework for LLM-Facilitated Infodemiological Research: Democratizing the Analysis of COVID-19 Public Health Discourse Using Freely Accessible AI Tools

description: This dataset contains the research data supporting the findings of the associated paper, which introduces a novel framework for conducting infodemiological research using freely available Large Language Models (LLMs). The data exemplifies the application of the framework's five-phase methodology (Research Design, Data Collection, LLM Analysis, Validation, and Visualization) to two key use cases from the COVID-19 pandemic.

The dataset is structured into the following primary components:

1. Vaccine Hesitancy Rhetoric Analysis Data: This subset includes:
 ● Anonymized Twitter Post IDs and Metadata: A list of Tweet IDs and corresponding dates collected via the Twitter API v2 for both pro-vaccine and vaccine-hesitant discourse during the initial vaccine rollout period (Dec 2020 - June 2021).
 ● Structured LLM Prompts: The exact prompt templates used for the iterative LLM-facilitated rhetorical analysis.
 ● LLM Analysis Outputs: Coded data from the LLM, identifying rhetorical frames (e.g., "Appeal to Personal Sovereignty," "Distrust of Pharmaceutical Motives"), representative quotes, and classified emotions.
2. Mental Health Discourse Evolution Data: This subset includes:
 ● Anonymized Reddit Post IDs and Metadata: A list of Post IDs from the r/COVID19_support subreddit for three key pandemic phases (Q2 2020, Q2 2021, Q2 2022).
 ● Structured LLM Prompts: The prompt templates used for simultaneous sentiment and thematic analysis of mental health discussions.
 ● LLM Analysis Outputs: Coded data from the LLM, including sentiment classifications (Positive, Negative, Neutral) and identified primary mental health concerns (e.g., "Social Isolation," "Pandemic Fatigue," "Grief") for each time period.
3. Validation Data: This includes the researcher-coded samples used for the Inter-Rater Reliability (IRR) checks, allowing for the verification of the LLM's analytical consistency.

This dataset provides a practical, real-world benchmark for researchers aiming to apply the proposed LLM-facilitated framework to public health discourse. It demonstrates the entire pipeline from raw data collection to validated, analyzed results, ensuring the reproducibility and transparency of the research.
DOI: 10.17632/pnd3dhh4vw.2
title: Data for: A Framework for LLM-Facilitated Infodemiological Research: Democratizing the Analysis of COVID-19 Public Health Discourse Using Freely Accessible AI Tools

description: This dataset contains the research data supporting the findings of the associated paper, which introduces a novel framework for conducting infodemiological research using freely available Large Language Models (LLMs). The data exemplifies the application of the framework's five-phase methodology (Research Design, Data Collection, LLM Analysis, Validation, and Visualization) to two key use cases from the COVID-19 pandemic.

The dataset is structured into the following primary components:

1. Vaccine Hesitancy Rhetoric Analysis Data: This subset includes:
 ● Anonymized Twitter Post IDs and Metadata: A list of Tweet IDs and corresponding dates collected via the Twitter API v2 for both pro-vaccine and vaccine-hesitant discourse during the initial vaccine rollout period (Dec 2020 - June 2021).
 ● Structured LLM Prompts: The exact prompt templates used for the iterative LLM-facilitated rhetorical analysis.
 ● LLM Analysis Outputs: Coded data from the LLM, identifying rhetorical frames (e.g., "Appeal to Personal Sovereignty," "Distrust of Pharmaceutical Motives"), representative quotes, and classified emotions.
2. Mental Health Discourse Evolution Data: This subset includes:
 ● Anonymized Reddit Post IDs and Metadata: A list of Post IDs from the r/COVID19_support subreddit for three key pandemic phases (Q2 2020, Q2 2021, Q2 2022).
 ● Structured LLM Prompts: The prompt templates used for simultaneous sentiment and thematic analysis of mental health discussions.
 ● LLM Analysis Outputs: Coded data from the LLM, including sentiment classifications (Positive, Negative, Neutral) and identified primary mental health concerns (e.g., "Social Isolation," "Pandemic Fatigue," "Grief") for each time period.
3. Validation Data: This includes the researcher-coded samples used for the Inter-Rater Reliability (IRR) checks, allowing for the verification of the LLM's analytical consistency.

This dataset provides a practical, real-world benchmark for researchers aiming to apply the proposed LLM-facilitated framework to public health discourse. It demonstrates the entire pipeline from raw data collection to validated, analyzed results, ensuring the reproducibility and transparency of the research.
DOI: 10.7289/v55b00ht
title: Florida Current transport in North Atlantic Ocean derived from Satellite Altimetry observations (NCEI Accession 0157747)

description: This archive package contains estimates of the transport of the Florida Current generated by NOAA's Atlantic Oceanographic and Meteorological Laboratory (AOML). The Florida Current carries northward the western boundary flow of the wind-driven subtropical gyre circulation in the North Atlantic Ocean and the warm upper limb of the Atlantic Meridional Overturning Circulation. Estimates of the Florida Current transport are carried out by NOAA/AOML using satellite altimetry data as a complementary dataset to the in situ estimates that are obtained by the submarine telephone cable in the Florida Straits. These data are produced as part of a suite of key ocean indicators and indexes that are computed at AOML using hydrographic and satellite observations. For more information, please visit: http://www.aoml.noaa.gov/phod/indexes/index.php.
DOI: 10.5281/zenodo.15230503
title: Relative sea level projections at tide-gauge locations

description: Description

This repository contains the data associated with a research paper by M. Perrette and M. Mengel on relative sea level projections constrained by historical trends at tide gauge sites. The main data is provided as a netcdf file with yearly timesteps.

In addition, the repository also contains the data for the webapp https://sealevel.netlify.app in csv format. The csv data provides decadal sea level change data by tide gauge site (using the PSMSL ID) for all sensitivity experiments presented in Figure S14 and S15.

File structure and Metadata

In the netcdf dataset, each variable has the form is f"{diag}_{field}_{source}" and the scenario is indicated as "experiment" dimension.

The csv data is structured as followed:



"scenario" (csvs): the future scenario (e.g. "ssp585", "CurPol", "ssp585_mu"). The "_mu" suffix indicates that the median temperature was used. Otherwise the full temperature ensemble was sampled for the projections.

"diag": the diagnostic. "change" refers to sea level change since the 1995-2014 baseline, and "rate" the sea level rate

"field": the reference frame:



"global": global-mean sea level

"rsl": relative sea level

"rad": vertical land motion

"gsl": geocentric sea level



"source": sea-level source:



"total": the sum of all contributions

"steric": thermal expansion ("global" field) or sterodynamic sea level ("rsl" and "gsl" field) ...

"vlm": sum of "gia" and "vlm_res"

"tas" : global mean surface temperature used in the projections ("global" only)




Authors





Mahé Perrette




Matthias Mengel (corresponding author, mengel@pik-potsdam.de)Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany



Citation



Mahé Perrette, Matthias Mengel, Relative sea level projections constrained by historical trends at tide gauge sites. Sci. Adv.11, eado4506 (2025).DOI:10.1126/sciadv.ado4506
DOI: 10.5281/zenodo.16375278
title: Relative sea level projections at tide-gauge locations

description: Description

This repository contains the data associated with a research paper by M. Perrette and M. Mengel on relative sea level projections constrained by historical trends at tide gauge sites. The main data is provided as a netcdf file with yearly timesteps.

In addition, the repository also contains the data for the webapp https://sealevel.netlify.app in csv format. The csv data provides decadal sea level change data by tide gauge site (using the PSMSL ID) for all sensitivity experiments presented in Figure S14 and S15.

File structure and Metadata

In the netcdf dataset, each variable has the form is f"{diag}_{field}_{source}" and the scenario is indicated as "experiment" dimension.

The csv data is structured as followed:



"scenario" (csvs): the future scenario (e.g. "ssp585", "CurPol", "ssp585_mu"). The "_mu" suffix indicates that the median temperature was used. Otherwise the full temperature ensemble was sampled for the projections.

"diag": the diagnostic. "change" refers to sea level change since the 1995-2014 baseline, and "rate" the sea level rate

"field": the reference frame:



"global": global-mean sea level

"rsl": relative sea level

"rad": vertical land motion

"gsl": geocentric sea level



"source": sea-level source:



"total": the sum of all contributions

"steric": thermal expansion ("global" field) or sterodynamic sea level ("rsl" and "gsl" field) ...

"vlm": sum of "gia" and "vlm_res"

"tas" : global mean surface temperature used in the projections ("global" only)




Authors





Mahé Perrette




Matthias Mengel (corresponding author, mengel@pik-potsdam.de)Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany



Citation



Mahé Perrette, Matthias Mengel, Relative sea level projections constrained by historical trends at tide gauge sites. Sci. Adv.11, eado4506 (2025).DOI:10.1126/sciadv.ado4506
DOI: 10.7289/v5cv4fsb
title: Yucatan Current transport derived from Satellite Altimetry observations from 1992-10-14 to 2016-11-30 (NCEI Accession 0159420)

description: This archive package contains estimates of the transport of the Yucatan Current generated by NOAA's Atlantic Oceanographic and Meteorological Laboratory (AOML). The Yucatan Current flows from the Caribbean Sea into the Gulf of Mexico, carrying the warm upper limb of the Atlantic Meridional Overturning Circulation and part of the return flow from the wind-driven subtropical gyre circulation in the North Atlantic. Estimates of the Yucatan Current transport are carried out by NOAA/AOML using satellite altimetry as the main dataset, and hydrographic observations. For more information, please visit: http://www.aoml.noaa.gov/phod/indexes/index.php