cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vhcytfzd94.2
title: Explosions dataset (L1 Lyapunov orbits)

description: Explosions along orbits of L1 Lyapunov family. The folder includes the initial conditions of the orbits studied and separated mat files for each explosion. In addition, a JSON file is saved including all the information of the explosions in case of computing simulations outside Matlab. Explosions' files include the state vectors of the fragments for discrete time steps over two years of evolution and classify debris whether fragments escape the system, impact the Earth or the Moon, or continue orbiting throughout the region.
DOI: 10.15468/dl.7d46jd
title: Occurrence Download

description: A dataset containing 2569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "MediaType is Image",
 "Month is March",
 "OccurrenceStatus is Present",
 "TaxonKey is Capreolus capreolus",
 "Year 2025-2025"
 ]
}

 The dataset includes 2569 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030594-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nn225wtdfd
title: Explosions dataset (L4 & L5 Axial orbits)

description: Explosions along orbits of L4 & L5 Axial family. The folder includes the initial conditions of the orbits studied and separated mat files for each explosion. In addition, a JSON file is saved including all the information of the explosions in case of computing simulations outside Matlab. Explosions' files include the state vectors of the fragments for discrete time steps over two years of evolution and classify debris whether fragments escape the system, impact the Earth or the Moon, or continue orbiting throughout the region.
DOI: 10.3886/e231588
title: Replication data for: A Passage to America: University Funding and International Students

description: The number of international undergraduate students at US public research universities increased dramatically over the past two decades, alongside concurrent reductions in state support for universities. We show that these trends are closely connected as public research universities relied on foreign students to cushion the effects of falling appropriations. The growing capacity in emerging economies to pay for a US education provided opportunities for universities to recover revenues from full-fare-paying foreign students. We estimate that between 1996 and 2012, a 10 percent reduction in state appropriations led to an increase in foreign enrollment of 16 percent at public research universities.
DOI: 10.3886/e231588v1
title: Replication data for: A Passage to America: University Funding and International Students

description: The number of international undergraduate students at US public research universities increased dramatically over the past two decades, alongside concurrent reductions in state support for universities. We show that these trends are closely connected as public research universities relied on foreign students to cushion the effects of falling appropriations. The growing capacity in emerging economies to pay for a US education provided opportunities for universities to recover revenues from full-fare-paying foreign students. We estimate that between 1996 and 2012, a 10 percent reduction in state appropriations led to an increase in foreign enrollment of 16 percent at public research universities.
DOI: 10.5281/zenodo.16416384
title: Scientific Workflow Development Using Large Language Models

description: This replication package contains all materials used to evaluate how Large Language Models (LLMs) support scientific workflow development in Galaxy and Nextflow. It includes the full set of prompts, LLM responses, and generated workflows analyzed in the study. The package provides six PDF files: (1) LLMs’ understanding of fundamental scientific workflow and workflow-system concepts, and (2) their domain knowledge of Galaxy and Nextflow platforms, including architecture, key features, and reproducibility mechanisms. It also includes workflow-specific background questions for both systems, covering domain tasks such as SNP-rich exon detection, peak-to-gene association, methylation analysis, and QC pipelines.

The package further provides the complete workflows generated by GPT-4o, Gemini 2.5 Flash, and DeepSeek-V3 for a set of benchmark tasks, detailing tool selections, execution steps, file transformations, and workflow structure. Together, these artifacts enable full transparency and reproducibility of our multi-dimensional assessment of LLMs’ conceptual reasoning, domain understanding, and workflow-generation capabilities across two major scientific workflow systems.

 

The first two files provide foundational insights. The first file, Table-2 Fundamental_Concepts_Of_Scientific_Workflow_and_SWS, includes LLM-generated responses to conceptual questions about scientific workflows and workflow systems, evaluating the understanding of GPT-4o, Gemini 2.5 Flash, and DeepSeek-V3. The second file, Table-3 LLMs Understanding of Galaxy and Nextflow, further explores LLMs’ domain-specific knowledge by addressing background questions about the Galaxy and Nextflow platforms, including their architecture, tools, reproducibility, and key features such as Galaxy’s ToolShed or Nextflow’s DSL concepts and nf-core integration.

The next two files, Table-4 and Table-5, contain workflow-specific background questions designed to assess LLM comprehension of domain-level specific tasks within Galaxy and Nextflow, respectively. These include tasks such as identifying SNP-rich exons, associating peaks with genes, or understanding methylation data processing. The final two files, LLMs Generated workflows using Galaxy Workflow System and LLMs generated workflows using Nextflow Workflow System, showcase the actual workflows generated by LLMs in response to structured prompts. Each file presents detailed, step-by-step workflows for different tasks, comparing how each LLM structures, sequences, and explains the analyses using real-world tools and formats (e.g., FastQC, BEDTools, MultiQC). These documents together form a multi-dimensional assessment of LLMs’ capability in generating, reasoning about, and structuring scientific workflows.
DOI: 10.5281/zenodo.16416383
title: Scientific Workflow Development Using Large Language Models

description: This replication package contains all materials used to evaluate how Large Language Models (LLMs) support scientific workflow development in Galaxy and Nextflow. It includes the full set of prompts, LLM responses, and generated workflows analyzed in the study. The package provides six PDF files: (1) LLMs’ understanding of fundamental scientific workflow and workflow-system concepts, and (2) their domain knowledge of Galaxy and Nextflow platforms, including architecture, key features, and reproducibility mechanisms. It also includes workflow-specific background questions for both systems, covering domain tasks such as SNP-rich exon detection, peak-to-gene association, methylation analysis, and QC pipelines.

The package further provides the complete workflows generated by GPT-4o, Gemini 2.5 Flash, and DeepSeek-V3 for a set of benchmark tasks, detailing tool selections, execution steps, file transformations, and workflow structure. Together, these artifacts enable full transparency and reproducibility of our multi-dimensional assessment of LLMs’ conceptual reasoning, domain understanding, and workflow-generation capabilities across two major scientific workflow systems.

 

The first two files provide foundational insights. The first file, Table-2 Fundamental_Concepts_Of_Scientific_Workflow_and_SWS, includes LLM-generated responses to conceptual questions about scientific workflows and workflow systems, evaluating the understanding of GPT-4o, Gemini 2.5 Flash, and DeepSeek-V3. The second file, Table-3 LLMs Understanding of Galaxy and Nextflow, further explores LLMs’ domain-specific knowledge by addressing background questions about the Galaxy and Nextflow platforms, including their architecture, tools, reproducibility, and key features such as Galaxy’s ToolShed or Nextflow’s DSL concepts and nf-core integration.

The next two files, Table-4 and Table-5, contain workflow-specific background questions designed to assess LLM comprehension of domain-level specific tasks within Galaxy and Nextflow, respectively. These include tasks such as identifying SNP-rich exons, associating peaks with genes, or understanding methylation data processing. The final two files, LLMs Generated workflows using Galaxy Workflow System and LLMs generated workflows using Nextflow Workflow System, showcase the actual workflows generated by LLMs in response to structured prompts. Each file presents detailed, step-by-step workflows for different tasks, comparing how each LLM structures, sequences, and explains the analyses using real-world tools and formats (e.g., FastQC, BEDTools, MultiQC). These documents together form a multi-dimensional assessment of LLMs’ capability in generating, reasoning about, and structuring scientific workflows.
DOI: 10.6084/m9.figshare.30713066
title: 25.11Amur tiger urine increases small -bodied mesopredators predatory behavior

description: Apex predators exert dual effects on mesopredators, including both suppression through lethal encounters and fear, as well as facilitation through providing food via prey remains. While large-scale studies on how apex predators influence mesopredator distributions are abundant, research on how apex predators affect mesopredators at the fine scale—particularly their specific behaviors—remains limited.ResultsUsing Amur tiger urine as an apex predator cue and captive bird eggs—which served as a food source for mesopredators with minimal odor interference—we evaluated the effects of this apex predator scent on the foraging behavior of mesopredators in northeastern China. Our results demonstrate that tiger urine attracted small-bodied mesopredators, increasing their visitation speed and accelerating nest predation. Asian badgers in particular perceived tiger urine as a food resource cue, stimulating their exploration and squat-marking behavior improving egg detection and predation. ConclusionsThis study focuses on the behavioral impacts of tiger urine on small-bodied mesopredators, revealing how top predator signals shape the foraging behavior of small-bodied mesopredators at the local scale. Specifically, top predators may exert greater attractive effects than fear effects on mesopredators with significantly smaller body sizes—a finding that deviates from the traditional paradigm that "top predators generally suppress mesopredators". Ultimately, this study deepens our understanding of the complex interactions between top predators and mesopredators, and provides references for ecological regulation (e.g., regulation of lower-trophic-level species) in future species conservation efforts.
DOI: 10.6084/m9.figshare.30713066.v1
title: 25.11Amur tiger urine increases small -bodied mesopredators predatory behavior

description: Apex predators exert dual effects on mesopredators, including both suppression through lethal encounters and fear, as well as facilitation through providing food via prey remains. While large-scale studies on how apex predators influence mesopredator distributions are abundant, research on how apex predators affect mesopredators at the fine scale—particularly their specific behaviors—remains limited.ResultsUsing Amur tiger urine as an apex predator cue and captive bird eggs—which served as a food source for mesopredators with minimal odor interference—we evaluated the effects of this apex predator scent on the foraging behavior of mesopredators in northeastern China. Our results demonstrate that tiger urine attracted small-bodied mesopredators, increasing their visitation speed and accelerating nest predation. Asian badgers in particular perceived tiger urine as a food resource cue, stimulating their exploration and squat-marking behavior improving egg detection and predation. ConclusionsThis study focuses on the behavioral impacts of tiger urine on small-bodied mesopredators, revealing how top predator signals shape the foraging behavior of small-bodied mesopredators at the local scale. Specifically, top predators may exert greater attractive effects than fear effects on mesopredators with significantly smaller body sizes—a finding that deviates from the traditional paradigm that "top predators generally suppress mesopredators". Ultimately, this study deepens our understanding of the complex interactions between top predators and mesopredators, and provides references for ecological regulation (e.g., regulation of lower-trophic-level species) in future species conservation efforts.
DOI: 10.15468/dl.3wstne
title: Occurrence Download

description: A dataset containing 1187 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Programme les sentinelles du climat - effets du changement climatique sur la biodiversité en région Nouvelle-Aquitaine-Observations de rhopalocères réalisées par le CEN Aquitaine selon le protocole STERF adapté pour le programme"
 ]
}

 The dataset includes 1187 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008205-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17714944
title: LINF_290027800

description: Tetratricopeptide repeat-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.17714945
title: LINF_290027800

description: Tetratricopeptide repeat-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.ft5yta
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eleocharis geniculata"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008206-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7294/27849018
title: VT Study - Virginia Utility Scale Solar Projects Locally Approved 2015-2022 - Permit documents.zip

description: This research documents permit conditions and time for local permit processes for 48 utility scale solar photovoltaic projects in Virginia approved between 2015 and January 2022. The report summarizes the permit conditions using 106 categories of interest to stakeholders. The primary finding is that projects included few conditions to obtain local benefits beyond standard compensation of funds provided to the locality per megawatt of the proposed project size. Quality of permits were not evaluated. Recommendations included at the need to provide educational resources to improve and accelerate siting of USS PV facilities in the Commonwealth. This study of local permit conditions was the first of its kind in Virginia.
DOI: 10.7294/27849018.v2
title: VT Study - Virginia Utility Scale Solar Projects Locally Approved 2015-2022 - Permit documents.zip

description: This research documents permit conditions and time for local permit processes for 48 utility scale solar photovoltaic projects in Virginia approved between 2015 and January 2022. The report summarizes the permit conditions using 106 categories of interest to stakeholders. The primary finding is that projects included few conditions to obtain local benefits beyond standard compensation of funds provided to the locality per megawatt of the proposed project size. Quality of permits were not evaluated. Recommendations included at the need to provide educational resources to improve and accelerate siting of USS PV facilities in the Commonwealth. This study of local permit conditions was the first of its kind in Virginia.
DOI: 10.7294/27849018.v1
title: VT Study - Virginia Utility Scale Solar Projects Locally Approved 2015-2022 - Permit documents.zip

description: This research documents permit conditions and time for local permit processes for 48 utility scale solar photovoltaic projects in Virginia approved between 2015 and January 2022. The report summarizes the permit conditions using 106 categories of interest to stakeholders. The primary finding is that projects included few conditions to obtain local benefits beyond standard compensation of funds provided to the locality per megawatt of the proposed project size. Quality of permits were not evaluated. Recommendations included at the need to provide educational resources to improve and accelerate siting of USS PV facilities in the Commonwealth. This study of local permit conditions was the first of its kind in Virginia.
DOI: 10.15468/dl.kuqrd3
title: Occurrence Download

description: A dataset containing 167264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caretta caretta",
 "Year 2000-2025"
 ]
}

 The dataset includes 167264 records from 478 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008171-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17714916
title: Cross-cultural Adjustment of international students in Russia

description: Longitudinal dataset 2018-2019. 3 timepoints. Survey data on cross-cultural adjustement. The data dictionary is attached.

There were 3 surveys across the study: survey 1 – intake form on paper, survey 2 and 3 – online forms 1.5 and 3 months since the beginning of the study. The surveys were distributed in Russian and English. Where the Russian version of the scales was not available, the author applied the back translation procedure (Brislin, 1970). Completion of each form required no more than 10 min.

Survey 1

Biographical Part: age, gender, home country, Russian language proficiency, level of education (Bachelor's, Master's, PhD), whether one was involved in any exchange programs (if yes, for how many times), if one had any cross-cultural training before the arrival in Russia, for how long had one been enrolled in the current exchange program (calculated as days since arrival and as rounded to whole month (days divided by 30) using round() function in MS Excel).

Health questionnaire: the fact of serious sickness during the last 6 months, the fact of seeking medical help during the last 6 months, self-reported chronic diseases, smoking and drinking habits, exercise routine, time a person took a vacation last time.

To measure the level of cross-cultural adaptation (CCA) in this study, we used the Sociocultural Adaptation Scale developed by J. Black and G. Stephens (Black & Stephens, 1989) and adapted by (Ang et al., 2007). Respondents were asked to express their level of agreement with statements using a 7-point Likert scale.

The cross-cultural motivation (CCM) scale was adapted from (Ang et al., 2007), where respondents indicated their level of agreement with statements on a 7-point Likert scale. 

Survey 2

This form contained the CCA form, the Social Readjustment Rating Scale (SRRS - (Holmes & Rahe, 1967)) (a multiple-choice checklist of 20 major life events that happened during the last 6 months), and a personality questionnaire, which was assessed with the IPIP-50 scale (Goldberg, 1992), where respondents rated their agreement with statements on a 5-point Likert scale.

Survey 3

The form contained the CCA and CCM scales discussed before. To measure psychological adaptation, this study assessed education satisfaction (EdS) as an aspect of psychological well-being related to the primary activity at the host location. The study utilized a scale adapted from the Job Satisfaction Survey by J. Hackman and G. Oldham (Hackman & Oldham, 1976), where respondents indicated their level of agreement with statements on a 5-point Likert scale, the original items were rephrased to pertain to the current academic setting abroad rather than to work (e.g., " Generally speaking, I am very satisfied with my assignment."). To measure sense of coherence (SOC), this study utilized the validated scale developed by A. Antonovsky (Antonovsky, 1993), consisting of 13 items (responses rated from 1 to 7 on a semantic differential scale).
DOI: 10.5281/zenodo.17714915
title: Cross-cultural Adjustment of international students in Russia

description: Longitudinal dataset 2018-2019. 3 timepoints. Survey data on cross-cultural adjustement. The data dictionary is attached.

There were 3 surveys across the study: survey 1 – intake form on paper, survey 2 and 3 – online forms 1.5 and 3 months since the beginning of the study. The surveys were distributed in Russian and English. Where the Russian version of the scales was not available, the author applied the back translation procedure (Brislin, 1970). Completion of each form required no more than 10 min.

Survey 1

Biographical Part: age, gender, home country, Russian language proficiency, level of education (Bachelor's, Master's, PhD), whether one was involved in any exchange programs (if yes, for how many times), if one had any cross-cultural training before the arrival in Russia, for how long had one been enrolled in the current exchange program (calculated as days since arrival and as rounded to whole month (days divided by 30) using round() function in MS Excel).

Health questionnaire: the fact of serious sickness during the last 6 months, the fact of seeking medical help during the last 6 months, self-reported chronic diseases, smoking and drinking habits, exercise routine, time a person took a vacation last time.

To measure the level of cross-cultural adaptation (CCA) in this study, we used the Sociocultural Adaptation Scale developed by J. Black and G. Stephens (Black & Stephens, 1989) and adapted by (Ang et al., 2007). Respondents were asked to express their level of agreement with statements using a 7-point Likert scale.

The cross-cultural motivation (CCM) scale was adapted from (Ang et al., 2007), where respondents indicated their level of agreement with statements on a 7-point Likert scale. 

Survey 2

This form contained the CCA form, the Social Readjustment Rating Scale (SRRS - (Holmes & Rahe, 1967)) (a multiple-choice checklist of 20 major life events that happened during the last 6 months), and a personality questionnaire, which was assessed with the IPIP-50 scale (Goldberg, 1992), where respondents rated their agreement with statements on a 5-point Likert scale.

Survey 3

The form contained the CCA and CCM scales discussed before. To measure psychological adaptation, this study assessed education satisfaction (EdS) as an aspect of psychological well-being related to the primary activity at the host location. The study utilized a scale adapted from the Job Satisfaction Survey by J. Hackman and G. Oldham (Hackman & Oldham, 1976), where respondents indicated their level of agreement with statements on a 5-point Likert scale, the original items were rephrased to pertain to the current academic setting abroad rather than to work (e.g., " Generally speaking, I am very satisfied with my assignment."). To measure sense of coherence (SOC), this study utilized the validated scale developed by A. Antonovsky (Antonovsky, 1993), consisting of 13 items (responses rated from 1 to 7 on a semantic differential scale).