cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48366/r1467892
title: LiSSA: Toward Generic Traceability Link Recovery through Retrieval-Augmented Generation

description: There are a multitude of software artifacts which need to be handled during the development and maintenance of a software system. These artifacts interrelate in multiple, complex ways. Therefore, many software engineering tasks are enabled - and even empowered - by a clear understanding of artifact interrelationships and also by the continued advancement of techniques for automated artifact linking. However, current approaches in automatic Traceability Link Recovery (TLR) target mostly the links between specific sets of artifacts, such as those between requirements and code. Fortu-nately, recent advancements in Large Language Models (LLMs) can enable TLR approaches to achieve broad applicability. Still, it is a nontrivial problem how to provide the LLMs with the specific information needed to perform TLR. In this paper, we present LiSSA, a framework that har-nesses LLM performance and enhances them through Retrieval-Augmented Generation (RAG). We empirically evaluate LiSSA on three different TLR tasks, requirements to code, documentation to code, and architecture documentation to architecture models, and we compare our approach to state-of-the-art approaches. Our results show that the RAG-based approach can signifi-cantly outperform the state-of-the-art on the code-related tasks. However, further research is required to improve the performance of RAG-based approaches to be applicable in practice.
DOI: 10.6084/m9.figshare.30009442
title: <b>Comparison of immunogenicity and protection efficacy of self-amplifying and circular mRNA vaccines against SARS-CoV-2</b>

description: FACS raw data of the splenocytes of mice immunized with self-amplifying RNA and Circular RNA vaccine expressing receptor binding domain (RBD) of spike protein of SARS-CoV-2. The intercellular cytokine expression was measure in CD4+ and CD8+ T-cells by FACS in vaccinated mice.
DOI: 10.6084/m9.figshare.30009442.v1
title: <b>Comparison of immunogenicity and protection efficacy of self-amplifying and circular mRNA vaccines against SARS-CoV-2</b>

description: FACS raw data of the splenocytes of mice immunized with self-amplifying RNA and Circular RNA vaccine expressing receptor binding domain (RBD) of spike protein of SARS-CoV-2. The intercellular cytokine expression was measure in CD4+ and CD8+ T-cells by FACS in vaccinated mice.
DOI: 10.5281/zenodo.16994213
title: Hybrid modeling of the gross domestic product of Nigeria from 1970--2023

description: The dataset consists of Nigeria's nominal GDP, exchange rates, interest rates, inflation rates and nominal oil prices for the period 1970--2023
DOI: 10.5281/zenodo.16994214
title: Hybrid modeling of the gross domestic product of Nigeria from 1970--2023

description: The dataset consists of Nigeria's nominal GDP, exchange rates, interest rates, inflation rates and nominal oil prices for the period 1970--2023
DOI: 10.4121/3badc1a4-a0ac-4560-8e1e-2355214331fe
title: Data underlying the publication "The impact of energy prices on the electrification of utility systems in industries with fluctuating energy demand"

description: This repository contains data and code used to write the research paper titled "The impact of energy prices on the electrification of utility systems in industries with fluctuating energy demand" (https://doi.org/10.1016/j.energy.2025.137679). The aim of the research was to evaluate the impact of variable energy prices on deploying PtH and storage technologies in an energy-intensive industry with variable high-temperature heat demand and existing heating infrastructure.The following data is provided:A zip file containing the code files and a readme file for using the codeA zip file containing the results
DOI: 10.4121/3badc1a4-a0ac-4560-8e1e-2355214331fe.v1
title: Data underlying the publication "The impact of energy prices on the electrification of utility systems in industries with fluctuating energy demand"

description: This repository contains data and code used to write the research paper titled "The impact of energy prices on the electrification of utility systems in industries with fluctuating energy demand" (https://doi.org/10.1016/j.energy.2025.137679). The aim of the research was to evaluate the impact of variable energy prices on deploying PtH and storage technologies in an energy-intensive industry with variable high-temperature heat demand and existing heating infrastructure.The following data is provided:A zip file containing the code files and a readme file for using the codeA zip file containing the results
DOI: 10.5281/zenodo.16994423
title: Science Taxonomy for Dutch Climate Change Discourse on Twitter (2023)

description: This dataset contains a Dutch-language taxonomy of scientific terminology used in climate change discourse on Twitter. It was developed as part of a broader project on religion, science, and climate communication in the Netherlands.

The taxonomy categorizes Dutch keywords related to science and scientific authority in the context of climate change. Terms are grouped into several categories, such as:





Scientific discourse (e.g., wetenschap, klimaatwetenschap, peer-reviewed),




Scientific findings (e.g., CO2-concentraties, zeespiegelstijging),




Institutions and figures (e.g., universiteiten, IPCC),




Challenges to science (e.g., pseudowetenschap, klimaatontkenning).



The taxonomy was applied to a dataset of Dutch-language tweets (2023) to filter and analyze discourse explicitly linking climate change to scientific knowledge, authority, or skepticism.

Language of data: DutchFile format: Excel (.xlsx)

This taxonomy is intended to support researchers in digital humanities, sociology of religion, communication studies, and environmental discourse analysis.
DOI: 10.5281/zenodo.16994424
title: Science Taxonomy for Dutch Climate Change Discourse on Twitter (2023)

description: This dataset contains a Dutch-language taxonomy of scientific terminology used in climate change discourse on Twitter. It was developed as part of a broader project on religion, science, and climate communication in the Netherlands.

The taxonomy categorizes Dutch keywords related to science and scientific authority in the context of climate change. Terms are grouped into several categories, such as:





Scientific discourse (e.g., wetenschap, klimaatwetenschap, peer-reviewed),




Scientific findings (e.g., CO2-concentraties, zeespiegelstijging),




Institutions and figures (e.g., universiteiten, IPCC),




Challenges to science (e.g., pseudowetenschap, klimaatontkenning).



The taxonomy was applied to a dataset of Dutch-language tweets (2023) to filter and analyze discourse explicitly linking climate change to scientific knowledge, authority, or skepticism.

Language of data: DutchFile format: Excel (.xlsx)

This taxonomy is intended to support researchers in digital humanities, sociology of religion, communication studies, and environmental discourse analysis.
DOI: 10.5281/zenodo.16949860
title: Google Summer of Code 2025 - MDAnalysis x ProLIF Project 5: H-Bond interactions from implicit hydrogens (Validation release)

description: Data archive for this repo: https://github.com/yuyuan871111/GSoC2025_Hbond_PM/tree/main.

Final report for this Google Summer of Code 2025 project: https://gist.github.com/yuyuan871111/aadf9da9e0d2fc52ca93cbda61ccadde
DOI: 10.5281/zenodo.16950708
title: Google Summer of Code 2025 - MDAnalysis x ProLIF Project 5: H-Bond interactions from implicit hydrogens (Validation release)

description: Data archive for this repo: https://github.com/yuyuan871111/GSoC2025_Hbond_PM/tree/main.

Final report for this Google Summer of Code 2025 project: https://gist.github.com/yuyuan871111/aadf9da9e0d2fc52ca93cbda61ccadde
DOI: 10.5281/zenodo.16994182
title: von Büren et al. (2025) A novel method for monitoring above- and belowground microclimates in mountain ecosystems year-round. Journal of Vegetation Science. Data and R code.

description: To run the R code (vonbueren_et_al_2025_JVegSci.R), put the files here in the following folder structure:



origdata/stability_brandflaeche/2024_05_29_data_temperature_loggers_stability_brandflaeche (here all command... and data...-files)

origdata/stability_brandflaeche/METADATA_stability_brandflaeche.csv

origdata/templogger_permanentplots_metadata.csv

origdata/tomst_winter2020_2021_ChristianRossi/tomst_winter2020_2021.csv
DOI: 10.5281/zenodo.16994183
title: von Büren et al. (2025) A novel method for monitoring above- and belowground microclimates in mountain ecosystems year-round. Journal of Vegetation Science. Data and R code.

description: To run the R code (vonbueren_et_al_2025_JVegSci.R), put the files here in the following folder structure:



origdata/stability_brandflaeche/2024_05_29_data_temperature_loggers_stability_brandflaeche (here all command... and data...-files)

origdata/stability_brandflaeche/METADATA_stability_brandflaeche.csv

origdata/templogger_permanentplots_metadata.csv

origdata/tomst_winter2020_2021_ChristianRossi/tomst_winter2020_2021.csv
DOI: 10.6084/m9.figshare.29910308
title: Tensile, fatigue and creep response characterisation of direct energy deposited Inconel 718: anisotropy and effects of heat treatment

description: This study reports the outcomes of a comprehensive mechanical testing programme for direct energy deposited Inconel 718 in as-built and heat-treated conditions. After investigating the microstructure and hardness of the alloy in both conditions, the study focuses on investigating the tensile, strain-controlled low cycle, stress-controlled high cycle fatigue, as well as the creep response of the alloy for samples loaded parallel and perpendicular to the build direction. The tensile tests were conducted at room temperature and at 600, 650, and 700°C; creep tests were conducted at 650°C, and fatigue tests were performed at room temperature. It was found that samples loaded perpendicular to the build direction show superior tensile and creep strength for both as-built and heat-treated states. Furthermore, heat treatment consistently enhanced the tensile and creep strength of the alloy. Meanwhile, a lower level of anisotropy and difference between as-built and heat-treated responses was observed from fatigue response of the alloy.
DOI: 10.6084/m9.figshare.29910308.v1
title: Tensile, fatigue and creep response characterisation of direct energy deposited Inconel 718: anisotropy and effects of heat treatment

description: This study reports the outcomes of a comprehensive mechanical testing programme for direct energy deposited Inconel 718 in as-built and heat-treated conditions. After investigating the microstructure and hardness of the alloy in both conditions, the study focuses on investigating the tensile, strain-controlled low cycle, stress-controlled high cycle fatigue, as well as the creep response of the alloy for samples loaded parallel and perpendicular to the build direction. The tensile tests were conducted at room temperature and at 600, 650, and 700°C; creep tests were conducted at 650°C, and fatigue tests were performed at room temperature. It was found that samples loaded perpendicular to the build direction show superior tensile and creep strength for both as-built and heat-treated states. Furthermore, heat treatment consistently enhanced the tensile and creep strength of the alloy. Meanwhile, a lower level of anisotropy and difference between as-built and heat-treated responses was observed from fatigue response of the alloy.
DOI: 10.7910/dvn/rmftcy
title: Data for 'Rensch's rule not supported by mammals-wide analysis'

description: These files include (1) raw data on mean body mass, standard deviation in body mass, and sample size for adult males as well as adult females for 429 species of mammals, a subset of the columns in the dataset in Tombak and Hex (2024); (2) a dataset comprised of 100 plausible phylogenetic trees that include these mammal species, generated from Upham et al. (2019); (3) the R script for the analysis and visualizations produced using these data for the paper associated with this Dataverse entry; and (4) a README file.

Tombak, K. J. and S. B. S. W. Hex. 2024. Data from: New estimates indicate that males are not larger than females in most mammal species [Dataset]. Dryad. DOI: 10.5061/dryad.280gb5mx0

Upham, N. S., J. A. Esselstyn, and W. Jetz. 2019. Inferring the mammal tree: species-level sets of phylogenies for questions in ecology, evolution, and conservation. PLoS Biology 17:1–44.
DOI: 10.5281/zenodo.10672603
title: PlanckData
DOI: 10.5281/zenodo.16994531
title: PlanckData
DOI: 10.7910/dvn/k9ns7b
title: Replication Data for: Nonbank Lending and the Transmission of Monetary Policy

description: We analyze the role of nonbank lenders in the transmission of monetary policy using data on the universe of unsecured credit to firms and households in Denmark. Nonbanks increase their credit supply after a monetary contraction, both relative to banks and in absolute terms. The increase in nonbank lending is financed through increased long-term debt. A model with segmented debt markets featuring differential investor rate sensitivities rationalizes these findings. Nonbank credit insulates corporate investment and household consumption from monetary contractions, with positive spillovers extending beyond nonbank clients through industry and geographic channels.
DOI: 10.5281/zenodo.16994533
title: What Shapes EMI Students' Achievement Goals? The Influence of Locus of Control, Future Time Perspective, and Self-Regulated Learning
DOI: 10.5281/zenodo.16994532
title: What Shapes EMI Students' Achievement Goals? The Influence of Locus of Control, Future Time Perspective, and Self-Regulated Learning
DOI: 10.17617/3.z8kmt8
title: Artery formation in the intestinal wall and mesentery by intestine-derived Esm1+ endothelial cells

description: Code for scRNA-seq analysis of the study "Artery formation in the intestinal wall and mesentery by intestine-derived Esm1+ endothelial cells".
DOI: 10.5281/zenodo.16994309
title: (DATASET+VIDEOS) Computational study of interactions between ionized glyphosate and carbon nanotube: An alternative for mitigating environmental contamination
DOI: 10.5281/zenodo.16994310
title: (DATASET+VIDEOS) Computational study of interactions between ionized glyphosate and carbon nanotube: An alternative for mitigating environmental contamination
DOI: 10.82261/mv3z-wd02
title: DigItAnt
DOI: 10.4121/dfbe9109-d058-4a64-a5b4-1cc9d9a5f836
title: SPAMS10 Krimpenerwaard: Soil motion parameters to model relative surface elevation changes

description: SPAMS (Simple Parameterization for the Motion of Soils) is a model that provides a first approximation of vertical soil motion for a particular location described by four parameters, given the availability of meteorological data. SPAMS estimates surface motion parameters based on physical processes by assuming that soil displacement is mainly driven by meteorological factors, and distinguishes between reversible and irreversible subsidence. The model uses precipitation and evapotranspiration data from nearby meteorological stations. The SPAMS parameters can be estimated using a certain period of observations from Interferometric Synthetic Aperture Radar (InSAR), extensometers, or other instruments that can measure vertical displacement. The estimated SPAMS parameters are then used to model relative surface elevation over time. These parameters rely on the assumption that the conditions of the area of interest, i.e., soil stratigraphy, ground water management, and land use, remain the same over time.<br>This repository provides the so-called SPAMS10 parameters over the Krimpenerwaard region in the Netherlands. The SPAMS10 dataset includes:the scaling factor of precipitation: xP [-], see [1]the scaling factor of evapotranspiration: xE [-], see[1]the irreversible subsidence rate: xI [mm/day], see [1]the integration time: tau [days], see [1]the variance of xP: var_xP,the variance of xE: var_xE,the variance of xI: var_xI,the covariance between xP and xE: cov_xPxE,the covariance between xP and xI: cov_xPxI, andand the covariance between xE and xI: cov_xExI.<br>Each set of 10 SPAMS parameters in the dataset refers to a single parcel, including the geolocation of its center-of-mass and relevant contextual information for each parcel. The contextual information includes the ID of the closest meteorological station and the soil code describing the shallow soil type. The meteorological data is provided by the Royal Netherlands Meteorological Institute (KNMI), and details about soil code can be accessed through the basisregistratie ondergrond (BRO—PDOK).<br>The dataset is stored in a parquet data format. In addition, the JSON file provides the metadata related to this dataset. The GitHub repository provides an example script on how to read and model relative surface elevation changes using SPAMS parameters provided in this SPAMS10 dataset.<br>[1] Conroy, P., S. A. N. van Diepen and R. F. Hanssen, "SPAMS: A new empirical model for soft soil surface displacement based on meteorological input data", Geoderma, vol. 440, pp. 1-4, 2023, https://doi.org/10.1016/j.geoderma.2023.116699.
DOI: 10.4121/dfbe9109-d058-4a64-a5b4-1cc9d9a5f836.v2
title: SPAMS10 Krimpenerwaard: Soil motion parameters to model relative surface elevation changes

description: SPAMS (Simple Parameterization for the Motion of Soils) is a model that provides a first approximation of vertical soil motion for a particular location described by four parameters, given the availability of meteorological data. SPAMS estimates surface motion parameters based on physical processes by assuming that soil displacement is mainly driven by meteorological factors, and distinguishes between reversible and irreversible subsidence. The model uses precipitation and evapotranspiration data from nearby meteorological stations. The SPAMS parameters can be estimated using a certain period of observations from Interferometric Synthetic Aperture Radar (InSAR), extensometers, or other instruments that can measure vertical displacement. The estimated SPAMS parameters are then used to model relative surface elevation over time. These parameters rely on the assumption that the conditions of the area of interest, i.e., soil stratigraphy, ground water management, and land use, remain the same over time.<br>This repository provides the so-called SPAMS10 parameters over the Krimpenerwaard region in the Netherlands. The SPAMS10 dataset includes:the scaling factor of precipitation: xP [-], see [1]the scaling factor of evapotranspiration: xE [-], see[1]the irreversible subsidence rate: xI [mm/day], see [1]the integration time: tau [days], see [1]the variance of xP: var_xP,the variance of xE: var_xE,the variance of xI: var_xI,the covariance between xP and xE: cov_xPxE,the covariance between xP and xI: cov_xPxI, andand the covariance between xE and xI: cov_xExI.<br>Each set of 10 SPAMS parameters in the dataset refers to a single parcel, including the geolocation of its center-of-mass and relevant contextual information for each parcel. The contextual information includes the ID of the closest meteorological station and the soil code describing the shallow soil type. The meteorological data is provided by the Royal Netherlands Meteorological Institute (KNMI), and details about soil code can be accessed through the basisregistratie ondergrond (BRO—PDOK).<br>The dataset is stored in a parquet data format. In addition, the JSON file provides the metadata related to this dataset. The GitHub repository provides an example script on how to read and model relative surface elevation changes using SPAMS parameters provided in this SPAMS10 dataset.<br>[1] Conroy, P., S. A. N. van Diepen and R. F. Hanssen, "SPAMS: A new empirical model for soft soil surface displacement based on meteorological input data", Geoderma, vol. 440, pp. 1-4, 2023, https://doi.org/10.1016/j.geoderma.2023.116699.
DOI: 10.5281/zenodo.15294272
title: Bias-corrected 0.5° CMIP6 daily precipitation dataset based on 2400 gauges over China 2015–2100

description: 1. Description

The dataset is generated by bias-correcting the CMIP6 daily precipitation data using precipitation observations from over 2,400 stations in China. This results in daily precipitation data with a 0.5° resolution for China from 2015 to 2100. The brief process of data generation is as follows:

(1) Observational data:

The observational data are based on daily precipitation records from 2,400 meteorological stations across China. Using inverse distance weighting (IDW) interpolation, these station data were transformed into gridded daily precipitation datasets with a spatial resolution of 0.5°×0.5°, covering the period from 1960 to 2014.

(2) Model data:

We used outputs from 22 CMIP6 models, including both historical simulations (1960–2014) and projections under four future scenarios (2015–2100: SSP126, SSP245, SSP370, and SSP585). All model data were interpolated using bilinear interpolation and standardized to a spatial resolution of 0.5°×0.5°.

(3) Bias correction methods:

The bias correction process first addressed the wet day frequency. Specifically, based on comparisons between observed and modeled precipitation frequencies from 1960 to 2014, the wet day frequency of each CMIP6 model was adjusted during the period 2015–2100. Following this adjustment, daily precipitation values from 2015 to 2100 were then bias-corrected using cumulative distribution function (CDF) matching. This procedure considered the nonstationary characteristics of the precipitation distribution over time. The CDFs were estimated using the empirical cumulative distribution function method.

2. Content of the dataset

This dataset consists of 88 files, corresponding to daily precipitation data from 22 CMIP6 models under 4 different scenarios. The data is stored in standard NETCDF format. The file name is structured as “BC_pr_day_MODEL_SSP_gn_chn_2015_2100.nc”, where BC refers to bias correction, pr_day indicates daily precipitation, MODEL represents the model’s name, and SSP denotes the scenario. For example: BC_pr_day_MODEL_SSP_gn_chn_2015_2100.nc. Each data file is approximately 350 MB in size. All NETCDF files in this dataset can be opened using standard nc processing tools such as MATLAB, Python, Fortran, Panoply, etc.

3. Details of the variables in the file

Each NetCDF file contains the following four variables:

(1) lat: Latitude dimension, measured in degrees (°).

(2) lon: Longitude dimension, measured in degrees (°).

(3) time: Time dimension, measured in days since January 1, 2015.

(4) pr: Precipitation variable with dimensions (lon, lat, time). The unit of this variable is mm/day.

4. Resolution and Data Range

Resolution: 0.5°.

Time frame: January 1, 2015, to December 31, 2100.

Space scope: 18°N–54°N, 72°E–136°E (as detailed in the table below).








 



North:54°N



 





West:72°E



 



East:136°E





 



South:18°N



 






5. Authors and contacts

Chiyuan Miao (miaocy@bnu.edu.cn)

Jinlong Hu (hujl98@mail.bnu.edu.cn)