cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60756/euc-dse37k218
title: Cyclic testing of a full-scale one storey cast-in-place reinforced concrete wall-slab-wall structure

description: A pseudostatic cyclic test on a full-scale one-storey two-bay cast-in-place reinforced concrete (RC) wall-slab-wall structure, representative of a building typology that is a very common form of housing in the Netherlands, was carried out. The test specimen was designed according to Dutch building practice and tried to combine several common characteristics as well as customary detailing of multi-unit cast-in-place RC terraced houses. Laboratory tests were thus performed on full-scale structural members and a single-storey two-bay cast-in-place reinforced concrete prototype, which was adapted to the needs imposed by laboratory constraints. The testing campaign was performed at EUCENTRE laboratory in 2017. This experimental data includes quasi static cyclic tests on a full-scale single-storey two-bay reinforced concrete specimen in longitudinal and transverse directions. These experimental testing activities were undertaken within the framework of the research programme for hazard and risk of induced seismicity in Groningen sponsored by the Nederlandse Aardolie Maatschappij BV (NAM).
DOI: 10.17632/449982vf6p
title: Targeting glycerophospholipid biosynthesis overcomes chemoresistance driven by SLFN11 loss in Ewing sarcoma

description: In Ewing sarcoma, high SLFN11 expression mediates initial sensitivity to DNA-damaging agents. However, relapse poses a major barrier due to heterogeneous expression or loss of SLFN11 causing therapeutic resistance. Although SLFN11 is established as a predictive biomarker, the mechanisms by which its loss promotes chemoresistance remain poorly understood, creating a critical gap that limits the development of effective treatments. This study shows that loss of SLFN11 induces a distinct metabolic reprogramming in Ewing sarcoma cells. Using integrated transcriptomic, metabolomic, and stable isotope tracing analyses, we identify downregulation of mitochondrial GPD2 and increased glycerophospholipid biosynthesis associated with SLFN11 loss. This study further demonstrates that targeting lipid biosynthesis impairs the viability of SLFN11-deficient cells. Notably, these findings are supported by in vivo data from xenograft models, which reveal elevated choline-derived phospholipid synthesis, suggesting metabolic adaptation in the tumor microenvironment.
DOI: 10.17632/449982vf6p.1
title: Targeting glycerophospholipid biosynthesis overcomes chemoresistance driven by SLFN11 loss in Ewing sarcoma

description: In Ewing sarcoma, high SLFN11 expression mediates initial sensitivity to DNA-damaging agents. However, relapse poses a major barrier due to heterogeneous expression or loss of SLFN11 causing therapeutic resistance. Although SLFN11 is established as a predictive biomarker, the mechanisms by which its loss promotes chemoresistance remain poorly understood, creating a critical gap that limits the development of effective treatments. This study shows that loss of SLFN11 induces a distinct metabolic reprogramming in Ewing sarcoma cells. Using integrated transcriptomic, metabolomic, and stable isotope tracing analyses, we identify downregulation of mitochondrial GPD2 and increased glycerophospholipid biosynthesis associated with SLFN11 loss. This study further demonstrates that targeting lipid biosynthesis impairs the viability of SLFN11-deficient cells. Notably, these findings are supported by in vivo data from xenograft models, which reveal elevated choline-derived phospholipid synthesis, suggesting metabolic adaptation in the tumor microenvironment.
DOI: 10.5281/zenodo.15598661
title: Source Code and Experimental Data for "Toward Skillful Forecasting of Super El Niño Events Using a Diffusion-Based Westerly Wind Burst Parameterization"

description: This is the source code and related experimental data for "Toward Skillful Forecasting of Super El Niño Events Using a Diffusion-Based Westerly Wind Burst Parameterization" published in npj CAS.
DOI: 10.5281/zenodo.15655250
title: Source Code and Experimental Data for "Toward Skillful Forecasting of Super El Niño Events Using a Diffusion-Based Westerly Wind Burst Parameterization"

description: This is the source code and related experimental data for "Toward Skillful Forecasting of Super El Niño Events Using a Diffusion-Based Westerly Wind Burst Parameterization" published in npj CAS.
DOI: 10.60756/euc-dzo13g135
title: Shake-table testing of full-scale URM walls developing two-way out-of-plane bending mechanisms (EUC-OOP-2WB)

description: This dataset contains acceleration and displacement recordings from incremental dynamic tests on full-scale unreinforced masonry (URM) walls. The walls were intentionally constructed with weakened mortar and were subjected to out-of-plane excitation to induce a two-way bending mechanism. These tests were conducted under boundary conditions that have not been explored in existing literature. Additionally, one of the wall specimens was simultaneously subjected to both vertical and horizontal excitation.

The shake-table tests were conducted in 2018 at the SHAKELAB and 6DLAB testing facilities of the EUCENTRE in Pavia, Italy. They were part of the EUCENTRE Foundation project 'Study of the vulnerability of masonry buildings in Groningen', within the research framework programme on hazard and risk of induced seismicity in the Groningen province, sponsored by the Nederlandse Aardolie Maatschappij BV (NAM). The project was carried out in collaboration with the research group of Masonry Structures from the University of Pavia in Italy.
DOI: 10.5281/zenodo.15655186
title: LLM-empowered scriptless functional testing

description: TESTAR is a scriptless, automated, open-source tool developed by the Universitat Politècnica de València and the Open University of the Netherlands.

As part of the AUTOLINK project, TESTAR is being extended with Large Language Model (LLM) capabilities to explore scriptless GUI testing, focusing on whether LLM-driven action selection can effectively generate test sequences that satisfy functional requirements.

This replication package contains:



The TESTAR tool version used to run the "LLM-empowered scriptless functional testing" research.

The user story prompts, condition checks, few-shots, and pairwise tests.
DOI: 10.5281/zenodo.15655187
title: LLM-empowered scriptless functional testing

description: TESTAR is a scriptless, automated, open-source tool developed by the Universitat Politècnica de València and the Open University of the Netherlands.

As part of the AUTOLINK project, TESTAR is being extended with Large Language Model (LLM) capabilities to explore scriptless GUI testing, focusing on whether LLM-driven action selection can effectively generate test sequences that satisfy functional requirements.

This replication package contains:



The TESTAR tool version used to run the "LLM-empowered scriptless functional testing" research.

The user story prompts, condition checks, few-shots, and pairwise tests.
DOI: 10.17632/scsr4cd5h7
title: Criteria-Based_Content_Analysis_of_Child_Sexual_Abuse_Statements

description: Purpose
This study investigates the inter-rater reliability between human experts (a forensic psychologist and a social worker) and an artificial intelligence (AI) model in the assessment of child sexual abuse statements. The research aims to explore the potential, limitations, and consistency of AI as an evaluation tool within the framework of Criteria-Based Content Analysis (CBCA), a widely used method for assessing statement credibility.
Materials and methods
Sixty-five anonymized transcripts of forensic interviews with child sexual abuse victims (N=65) were independently evaluated by three raters: a forensic psychologist, a social worker, and a large language model (ChatGPT, GPT-4o Plus). Each statement was coded using the 19-item CBCA framework. Inter-rater reliability was analyzed using Intraclass Correlation Coefficient (ICC), Cohen’s Kappa (κ), and other agreement statistics to compare the judgments between the human-human pairing and the human-AI pairings.
Results
A high degree of inter-rater reliability was found between the two human experts, with the majority of criteria showing 'good' to 'excellent' agreement (15 of 19 criteria with ICC &gt; .75). In stark contrast, a dramatic and significant decrease in reliability was observed when the AI model's evaluations were compared with those of the human experts. The AI demonstrated systematic disagreement on criteria requiring nuanced, contextual judgment, with reliability coefficients frequently falling into 'poor' or negative ranges (e.g., ICC = -.106 for 'Logical structure'), indicating its evaluation logic fundamentally differs from human reasoning.
Discussion
The findings reveal a profound gap between the nuanced, contextual reasoning of human experts and the pattern-recognition capabilities of the current AI model. The study concludes that AI, in its present form, cannot reliably replicate human expert judgment in the complex task of credibility assessment. While AI is not a viable autonomous evaluator, it may hold limited potential as a 'cognitive assistant' to support human workflows. The assessment of child testimony credibility remains a task that deeply requires human judgment and is far beyond the current capabilities of artificial intelligence.
DOI: 10.17632/scsr4cd5h7.1
title: Criteria-Based_Content_Analysis_of_Child_Sexual_Abuse_Statements

description: Purpose
This study investigates the inter-rater reliability between human experts (a forensic psychologist and a social worker) and an artificial intelligence (AI) model in the assessment of child sexual abuse statements. The research aims to explore the potential, limitations, and consistency of AI as an evaluation tool within the framework of Criteria-Based Content Analysis (CBCA), a widely used method for assessing statement credibility.
Materials and methods
Sixty-five anonymized transcripts of forensic interviews with child sexual abuse victims (N=65) were independently evaluated by three raters: a forensic psychologist, a social worker, and a large language model (ChatGPT, GPT-4o Plus). Each statement was coded using the 19-item CBCA framework. Inter-rater reliability was analyzed using Intraclass Correlation Coefficient (ICC), Cohen’s Kappa (κ), and other agreement statistics to compare the judgments between the human-human pairing and the human-AI pairings.
Results
A high degree of inter-rater reliability was found between the two human experts, with the majority of criteria showing 'good' to 'excellent' agreement (15 of 19 criteria with ICC &gt; .75). In stark contrast, a dramatic and significant decrease in reliability was observed when the AI model's evaluations were compared with those of the human experts. The AI demonstrated systematic disagreement on criteria requiring nuanced, contextual judgment, with reliability coefficients frequently falling into 'poor' or negative ranges (e.g., ICC = -.106 for 'Logical structure'), indicating its evaluation logic fundamentally differs from human reasoning.
Discussion
The findings reveal a profound gap between the nuanced, contextual reasoning of human experts and the pattern-recognition capabilities of the current AI model. The study concludes that AI, in its present form, cannot reliably replicate human expert judgment in the complex task of credibility assessment. While AI is not a viable autonomous evaluator, it may hold limited potential as a 'cognitive assistant' to support human workflows. The assessment of child testimony credibility remains a task that deeply requires human judgment and is far beyond the current capabilities of artificial intelligence.
DOI: 10.17632/fzygy39y35
title: Beyond Democracy: Political Regime Similarity and International Investment - Replication code/dataset

description: Replication code & dataset for the research note: Beyond Democracy: Political Regime Similarity and International Investment

Abstract
This research note examines whether political regime similarity shapes international investment patterns, extending beyond traditional binary regime type effects. While existing literature focuses on democracy versus autocracy distinctions, I argue that regime similarity facilitates bilateral capital flows through reduced transaction costs, institutional familiarity, and enhanced trust networks. Using PPML regressions and the four-category V-Dem regime classification, I analyze bilateral FDI and FPI positions across 176 countries between 2001 and 2017. The findings reveal three key insights. First, both democratic and autocratic country pairs exhibit substantially higher bilateral investment positions than mixed regime pairs, with autocratic dyads showing particularly pronounced effects. Second, these patterns are strongest when countries are located at the same extreme ends of the political spectrum (i.e. when both are liberal democracies or closed autocracies). Third, electoral democracy-electoral autocracy dyads represent an important exception, showing similar investment patterns to same-regime pairs despite being formally a mixed regime dyad. These findings challenge conventional wisdom about a democratic advantage in attracting investment, revealing that institutional similarity matters more than formal regime labels. With every second country now classified as autocratic, these findings suggest potential reinforcement of economic fragmentation along regime lines.
DOI: 10.17632/fzygy39y35.1
title: Beyond Democracy: Political Regime Similarity and International Investment - Replication code/dataset

description: Replication code & dataset for the research note: Beyond Democracy: Political Regime Similarity and International Investment

Abstract
This research note examines whether political regime similarity shapes international investment patterns, extending beyond traditional binary regime type effects. While existing literature focuses on democracy versus autocracy distinctions, I argue that regime similarity facilitates bilateral capital flows through reduced transaction costs, institutional familiarity, and enhanced trust networks. Using PPML regressions and the four-category V-Dem regime classification, I analyze bilateral FDI and FPI positions across 176 countries between 2001 and 2017. The findings reveal three key insights. First, both democratic and autocratic country pairs exhibit substantially higher bilateral investment positions than mixed regime pairs, with autocratic dyads showing particularly pronounced effects. Second, these patterns are strongest when countries are located at the same extreme ends of the political spectrum (i.e. when both are liberal democracies or closed autocracies). Third, electoral democracy-electoral autocracy dyads represent an important exception, showing similar investment patterns to same-regime pairs despite being formally a mixed regime dyad. These findings challenge conventional wisdom about a democratic advantage in attracting investment, revealing that institutional similarity matters more than formal regime labels. With every second country now classified as autocratic, these findings suggest potential reinforcement of economic fragmentation along regime lines.
DOI: 10.6084/m9.figshare.29312960
title: Physiological data of high-temperature domestication experiment of Tupaia belangeri.xlsx

description: In this study, Tupaia belangeri in Tuanjie Township of Kunming were selected as the research objects. The changes of body temperature, metabolic rate and heat conduction value of Tupaia belangeri under high temperature acclimation were measured, and the change trend of thermal neutral zone was compared and analyzed. Under the general trend of global warming, Tupaia belangeri will choose to increase body temperature, reduce metabolic rate, increase heat dissipation capacity, and drift from thermal neutral zone to high temperature zone to adapt to heat stress and high temperature environment.
DOI: 10.6084/m9.figshare.29312960.v1
title: Physiological data of high-temperature domestication experiment of Tupaia belangeri.xlsx

description: In this study, Tupaia belangeri in Tuanjie Township of Kunming were selected as the research objects. The changes of body temperature, metabolic rate and heat conduction value of Tupaia belangeri under high temperature acclimation were measured, and the change trend of thermal neutral zone was compared and analyzed. Under the general trend of global warming, Tupaia belangeri will choose to increase body temperature, reduce metabolic rate, increase heat dissipation capacity, and drift from thermal neutral zone to high temperature zone to adapt to heat stress and high temperature environment.
DOI: 10.15468/dl.c2atjs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Closterium Nitzsch ex Ralfs, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042531-250525065834625/datasets/export for details.
DOI: 10.17632/sxbnxm4tt9
title: fibo_data_mining.m

description: its a m-file with MATLAB syntax.
DOI: 10.17632/sxbnxm4tt9.1
title: fibo_data_mining.m

description: its a m-file with MATLAB syntax.
DOI: 10.60756/euc-tzrw14g288
title: Shake-table testing of a full-scale URM cavity-wall building (EUC-BUILD-1)

description: A shaking table test was performed on a two-storey full-scale unreinforced masonry (URM) building, simulating the end unit of a typical Dutch terraced house. The test structure was built with cavity walls and without any specific seismic design or detailing. Cavity walls have an inner load-bearing leaf and an outer leaf with aesthetic and weather-protection functions. The load-bearing masonry was made of calcium silicate bricks, supporting two reinforced concrete floors. Two gable walls supported a pitched timber roof. The veneer was made of clay bricks connected to the inner masonry with steel ties, as seen in common construction practices. The specimen was subjected to a cumulative incremental dynamic test up to the near-collapse limit state, with input motions consistent with the characteristics of induced seismicity ground motions.

The shake-table tests were conducted in 2015 at the SHAKELAB testing facilities of the EUCENTRE in Pavia, Italy. They were part of the EUCENTRE Foundation project 'Study of the vulnerability of masonry buildings in Groningen', within the research framework programme on hazard and risk of induced seismicity in the Groningen province, sponsored by the Nederlandse Aardolie Maatschappij BV (NAM). The project was carried out in collaboration with the research group of Masonry Structures from the University of Pavia in Italy.
DOI: 10.6084/m9.figshare.28340399.v1
title: Eradication of MRSA Biofilms by Amphiphilic Cationic Coumarin Derivatives - FID for Publication

description: ZIP file containing all ¹H, ¹³C, HSQC, and HMBC NMR spectra of the compounds reported in the research article titled Eradication of MRSA Biofilms by Amphiphilic Cationic Coumarin Derivatives.
DOI: 10.17632/2fxjn8vz7z
title: INTRACRANIAL HYPOTENSION MIMICKING CEREBRAL VENOUS INFARCTION

description: Postpartum seizures can be attributed to various etiological factors. The most common conditions that come to mind include eclampsia, cerebral venous thrombosis, reversible vasoconstriction syndrome, and posterior reversible encephalopathy syndrome (PRES). Especially when neurological defects like motor deficits accompany an epileptic seizure, cerebrovascular diseases, particularly cerebral venous thrombosis, become more prominent. In postpartum patients with a history of spinal anesthesia, intracranial hypotension (ICH) should also be considered in the etiology (1).
Intracranial hypotension (ICH) is a condition that can be confused with many types of headaches and is associated with various complications such as subdural effusion (SDE), subarachnoid hemorrhage (SAH), cranial neuropathy, and epileptic seizures (2,3). Postural headache is particularly significant for diagnosis (3). In our case, due to the postictal confusion following the epileptic seizure, the anamnesis of the postural headache was taken later. Moreover, an initial suspicion of sinus venous thrombosis (SVT) arose due to lesions observed in hospital admission diffusion-weighted magnetic resonance imaging (MRI) consistent with a cerebrovascular pathology. However, after a detailed anamnesis, an ICH diagnosis was made. During follow-up, both subdural effusion and subarachnoid hemorrhage complications were observed concurrently.
DOI: 10.17632/2fxjn8vz7z.1
title: INTRACRANIAL HYPOTENSION MIMICKING CEREBRAL VENOUS INFARCTION

description: Postpartum seizures can be attributed to various etiological factors. The most common conditions that come to mind include eclampsia, cerebral venous thrombosis, reversible vasoconstriction syndrome, and posterior reversible encephalopathy syndrome (PRES). Especially when neurological defects like motor deficits accompany an epileptic seizure, cerebrovascular diseases, particularly cerebral venous thrombosis, become more prominent. In postpartum patients with a history of spinal anesthesia, intracranial hypotension (ICH) should also be considered in the etiology (1).
Intracranial hypotension (ICH) is a condition that can be confused with many types of headaches and is associated with various complications such as subdural effusion (SDE), subarachnoid hemorrhage (SAH), cranial neuropathy, and epileptic seizures (2,3). Postural headache is particularly significant for diagnosis (3). In our case, due to the postictal confusion following the epileptic seizure, the anamnesis of the postural headache was taken later. Moreover, an initial suspicion of sinus venous thrombosis (SVT) arose due to lesions observed in hospital admission diffusion-weighted magnetic resonance imaging (MRI) consistent with a cerebrovascular pathology. However, after a detailed anamnesis, an ICH diagnosis was made. During follow-up, both subdural effusion and subarachnoid hemorrhage complications were observed concurrently.