cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25326/850
title: CPCMATEX-2025_SAFIRE-ATR42_SAFIRE_CORE_TDYN Thermodynamic and dynamic data 1HZ

description: SAFIRE ATR42 in situ measurements post-processed at 1Hz including thermodynamics, dynamic and wind parameters
DOI: 10.25326/853
title: CPCMATEX-2025_SAFIRE-ATR42_SAFIRE_POD Thermodynamic 5-holes Probe Data at 1Hz

description: SAFIRE ATR42 in situ measurements post-processed at 1Hz from 5-holes probe
DOI: 10.25326/857
title: AB2CDDISC-2025_SAFIRE-ATR42_SAFIRE_UHSAS Aerosol UHSAS

description: SAFIRE ATR42 UHSAS microphysics in situ measurements
DOI: 10.5281/zenodo.18493226
title: Zařízení pro komplexní čištění spalin (plynné a tuhé znečišťující látky) vznikajících při spalování biomasy ve spalovacích zařízeni o výkonu do 150 kW
DOI: 10.5281/zenodo.18493227
title: Zařízení pro komplexní čištění spalin (plynné a tuhé znečišťující látky) vznikajících při spalování biomasy ve spalovacích zařízeni o výkonu do 150 kW
DOI: 10.25326/783
title: AB2CDDISC-2025_SAFIRE-ATR42_SAFIRE_CORE_NAV Navigation and platform characteristics 10hz

description: SAFIRE ATR42 navigation parameters post-processed at 10Hz from Inertial/GPS system
DOI: 10.25326/800
title: AB2CDDISC-2025_SAFIRE-ATR42_SAFIRE_CORE_NAV Navigation and platform characteristics 1hz

description: SAFIRE ATR42 navigation parameters post-processed at 1Hz from Inertial/GPS system
DOI: 10.25326/802
title: AB2CDDISC-2025_SAFIRE-ATR42_SAFIRE_LWC Liquid Water Content at 1Hz

description: SAFIRE ATR42 LWC in situ measurements from LWC300, Gerber and Robust sensors, post-processed at 1Hz
DOI: 10.25326/782
title: AB2CDDISC-2025_SAFIRE-ATR42_SAFIRE_CORE_O3 Ozone measurements

description: SAFIRE ATR42 Ozone in situ measurements
DOI: 10.25326/856
title: AB2CDDISC-2025_SAFIRE-ATR42_SAFIRE_RADIATION Radiation data

description: SAFIRE ATR42 in situ  measurements post-processed at 1Hz including Shortwave and Longwave Radiation and CLIMAT-CE332 Radiometer observation
DOI: 10.25326/801
title: AB2CDDISC-2025_SAFIRE-ATR42_SAFIRE_CORE_TDYN Thermodynamic and dynamic data 1HZ

description: SAFIRE ATR42 in situ measurements post-processed at 1Hz including thermodynamics, dynamic and wind parameters
DOI: 10.25326/858
title: SILEX-2025_SAFIRE-ATR42_SAFIRE_CHEMISTRY-PICARRO_3SEC CH4, CO2 and CO measurements

description: SAFIRE ATR42 CH4, CO2 and CO post-processed every 3 seconds from Picarro G2401-m instrument
DOI: 10.17026/dans-x3m-3u3d
title: Historical archaeology of fort Frederik Hendrik, a Dutch East India Company outpost at Mauritius, a report on the 1997 - 2003 excavation seasons

description: In 1997-2003 four fieldwork seasons of archaeological research have been conducted at the site of the Dutch fort Frederik Hendrik (1638-1658; 1664-1710) on the island of Mauritius. Already in early stages of the project it became clear that, under the ruins of a mid-18th -century French government building, the Dutch fort had been situated, on an elevated location, overlooking the southeastern harbour (Grand Port Bay). Finding the fort was one thing, to get insight in its complex chronology and extent proved to be a more complicated issue. Nonetheless the field seasons in 1999, 2000 and 2003 resulted in a variety of Dutch-period structures that, gradually, are straightening out the site’s history. Fort Frederik Hendrik is a site where both historical records and material culture offer multiple lines of evidence with regard to the functioning of the fort and the daily life of its population. The study of the fort’s artefact assemblage further provides insights in the settlers endeavour to adapt to the local environment.
DOI: 10.60493/gf6fr-1n741
title: Elche, Spain by Lot Amoros - part of deadtrees.earth

description: This dataset is compsed of a high-resolution aerial orthophoto of a planted maritime forest, acquired using an unmanned aerial vehicle (UAV) platform. The dataset was collected with a DJI Mavic Pro 2 drone, flying under stable meteorological conditions to ensure optimal image quality and spatial accuracy. A systematic flight plan with overlapping nadir images was designed to enable precise photogrammetric reconstruction.

The imagery was processed deadtrees.earth platform, using standard structure-from-motion and orthomosaic generation workflows, resulting in a georeferenced orthophoto with sufficient spatial resolution to identify individual trees and assess canopy condition. The dataset captures RGB colors showing  tree mortality across the plantation, allowing visual differentiation between living and dead trees based on crown presence, color, and structural characteristics.

The primary purpose of this dataset is to support the analysis of tree mortality in planted maritime forests, facilitating studies on forest health, management effectiveness, and disturbance impacts. Additionally, the dataset can be used for methodological development in remote sensing, such as testing automated tree detection, mortality classification algorithms, or validating coarser satellite-based products. By making this orthophoto publicly available, the dataset contributes to transparent, reproducible research and provides a valuable reference for ecological monitoring and forest management applications.
DOI: 10.34847/nkl.bd55lo1x
title: Room B001 in Building B at Qusur Mohareb, Before & After (2025)”

description: This deposit contains the 3D model in GLTF and USDZ formats, as downloaded from Sketchfab.

In accordance with prevailing legislation, the survey was conducted without the utilisation of unmanned aerial vehicle (UAV).

How to quote this model in scientific papers?

Fr. Colin, “Room B001 in Building B at Qusur Mohareb, Before & After (2025)”, Field Survey QM-2025B-BDE-2 & 3V-1, Strasbourg, 2026, DOI: 10.34847/nkl.bd55lo1x.

Model stored on the data service “Nakala”: https://www.nakala.fr.

Photographic survey & modelling: Fr. Colin, Univ. de Strasbourg, CNRS, UMR 7044 Archimède. Topography: N.Bernabeu.

Director of the Qusur Mohareb project: Cassandre Hartenstein.

Partners of project: Egyptian Ministry of Tourism and Antiquities, IFAO, Univ. de Strasbourg, CNRS.

The archaeological survey was modelled with the use of Metashape.
DOI: 10.5281/zenodo.18540670
title: The European Energy Vision 2060 (EU EnVis-2060): Scenario Parametrization

description: Description

This repository contains the scenario parametrization for the European Energy Vision 2060 (EU EnVis-2060) scenarios, which have been created by the European research projects Man0EUvRE (funded by the CETPartnership) and iDesignRES (funded by the European Commission). The data is formatted in the IAMC data format (see https://pyam-iamc.readthedocs.io/en/stable/data.html). 

The underlying raw data, including all sources and assumptions used for each data point can be found at the Global Energy System Model (GENeSYS-MOD) data repository (see https://github.com/GENeSYS-MOD/GENeSYS_MOD.data). 

 

Alongside the scenario parametrization, there is also included a short report about the qualitative storylines, the workflow, and some key assumptions as part of Deliverable 1.2 of the Man0EUvRE project, as well as the Q2Q (qualitative to quantitative) matrix used in the process of the parametrization.

 

Changelog




Version
Date
Changes


4.0
09.02.2026




Inclusion of partner feedback

Updated availability factors of nuclear power plants per region

Fixed natural gas pipeline connections to outside EU, adjusted max possible activity, updated capacity expansion costs

Updated more technology costs for ATR & offshore wind

Added residual capacity and expansion for battery storage

Included new district heat parameters: demand and split (industrial + buildings) 




3.1
08.09.2025


Improvements in district heating, technology costs for wind, PV, and electrolyzers. Updated fossil fuel import prices.



3.0
31.07.2025


Further refinement of data set, used for quantification of the scenarios with GENeSYS-MOD (v1.1.0)

Data changes are based on partner feedback and further calibration for the European scenarios.



2.0.1
11.03.2025


Added newest version of Q2Q matrix



2.0
28.02.2025


Significantly overhauled data set, used for quantification of the scenarios with GENeSYS-MOD (v1.0.1)



1.0.2
11.09.2024
Fixed missing hydropower data in capacities due to an error in the conversion script


1.0.1
07.09.2024
Fixed missing data in residual capacities


1.0
06.09.2024
Initial Upload




 

Funding

This research was funded by CETPartnership, the European Partnership under Joint Call 2022 for research proposals, co-funded by the European Commission (GA N°101069750) and with the funding organisations listed on the CETPartnership website.
DOI: 10.5281/zenodo.13710868
title: The European Energy Vision 2060 (EU EnVis-2060): Scenario Parametrization

description: Description

This repository contains the scenario parametrization for the European Energy Vision 2060 (EU EnVis-2060) scenarios, which have been created by the European research projects Man0EUvRE (funded by the CETPartnership) and iDesignRES (funded by the European Commission). The data is formatted in the IAMC data format (see https://pyam-iamc.readthedocs.io/en/stable/data.html). 

The underlying raw data, including all sources and assumptions used for each data point can be found at the Global Energy System Model (GENeSYS-MOD) data repository (see https://github.com/GENeSYS-MOD/GENeSYS_MOD.data). 

 

Alongside the scenario parametrization, there is also included a short report about the qualitative storylines, the workflow, and some key assumptions as part of Deliverable 1.2 of the Man0EUvRE project, as well as the Q2Q (qualitative to quantitative) matrix used in the process of the parametrization.

 

Changelog




Version
Date
Changes


4.0
09.02.2026




Inclusion of partner feedback

Updated availability factors of nuclear power plants per region

Fixed natural gas pipeline connections to outside EU, adjusted max possible activity, updated capacity expansion costs

Updated more technology costs for ATR & offshore wind

Added residual capacity and expansion for battery storage

Included new district heat parameters: demand and split (industrial + buildings) 




3.1
08.09.2025


Improvements in district heating, technology costs for wind, PV, and electrolyzers. Updated fossil fuel import prices.



3.0
31.07.2025


Further refinement of data set, used for quantification of the scenarios with GENeSYS-MOD (v1.1.0)

Data changes are based on partner feedback and further calibration for the European scenarios.



2.0.1
11.03.2025


Added newest version of Q2Q matrix



2.0
28.02.2025


Significantly overhauled data set, used for quantification of the scenarios with GENeSYS-MOD (v1.0.1)



1.0.2
11.09.2024
Fixed missing hydropower data in capacities due to an error in the conversion script


1.0.1
07.09.2024
Fixed missing data in residual capacities


1.0
06.09.2024
Initial Upload




 

Funding

This research was funded by CETPartnership, the European Partnership under Joint Call 2022 for research proposals, co-funded by the European Commission (GA N°101069750) and with the funding organisations listed on the CETPartnership website.
DOI: 10.5281/zenodo.18540955
title: «THE THEORETICAL AND METHODOLOGICAL FOUNDATIONS OF NARRATIVE ANALYSIS»

description: The article examines the theoretical and methodological foundations of analyzing artistic narrative in Alexander Pushkin’s novel in verse Eugene Onegin. The study is based on a complex methodological framework drawing on the literary theories of Mikhail Bakhtin, Yuri Lotman, and Alexander Veselovsky. These approaches make it possible to interpret narrative not as a linear sequence of events, but as a multi-level artistic system integrating authorial consciousness, textual structure, and cultural-historical context. Particular attention is paid to dialogism, the semiotic organization of the text, and the principle of free composition. The analysis demonstrates that Eugene Onegin represents an authorial-lyrical, lyric-epic, and dialogically structured type of narrative that played a decisive role in the development of the Russian novelistic tradition.
DOI: 10.5281/zenodo.18540956
title: «THE THEORETICAL AND METHODOLOGICAL FOUNDATIONS OF NARRATIVE ANALYSIS»

description: The article examines the theoretical and methodological foundations of analyzing artistic narrative in Alexander Pushkin’s novel in verse Eugene Onegin. The study is based on a complex methodological framework drawing on the literary theories of Mikhail Bakhtin, Yuri Lotman, and Alexander Veselovsky. These approaches make it possible to interpret narrative not as a linear sequence of events, but as a multi-level artistic system integrating authorial consciousness, textual structure, and cultural-historical context. Particular attention is paid to dialogism, the semiotic organization of the text, and the principle of free composition. The analysis demonstrates that Eugene Onegin represents an authorial-lyrical, lyric-epic, and dialogically structured type of narrative that played a decisive role in the development of the Russian novelistic tradition.
DOI: 10.5281/zenodo.17378393
title: Results for the manuscript 'Exploring global, economy-wide material trajectories and associated environmental pressures under shared socioeconomic pathways'

description: The dataset contains the results from the SuCCESs model for the manuscript 'Exploring global, economy-wide material trajectories and associated environmental pressures under shared socioeconomic pathways'. There is one GDX file containing model results per scenario (5 SSPs and the LMD scenario). The results using Monte Carlo sampling are indicated with the suffix '_MC'. Updated on 2026-02-09 with scenario-specific recycling rates and extended uncertainty analysis.
DOI: 10.5281/zenodo.18539820
title: Results for the manuscript 'Exploring global, economy-wide material trajectories and associated environmental pressures under shared socioeconomic pathways'

description: The dataset contains the results from the SuCCESs model for the manuscript 'Exploring global, economy-wide material trajectories and associated environmental pressures under shared socioeconomic pathways'. There is one GDX file containing model results per scenario (5 SSPs and the LMD scenario). The results using Monte Carlo sampling are indicated with the suffix '_MC'. Updated on 2026-02-09 with scenario-specific recycling rates and extended uncertainty analysis.
DOI: 10.5281/zenodo.14804797
title: Evaluating Knowledge Tracing Models for Competency Assessment in Software Engineering Education

description: Knowledge Tracing (KT) tracks students' learning progress to adapt learning content and feedback accordingly. Hence, it is a crucial part of educational technologies, particularly Intelligent Tutoring Systems (ITSs). Which KT model is most suitable depends on contextual factors, particularly the learning domain. While substantial prior work has covered KT in computer science education, few studies have provided open datasets and comprehensively compared KT models in the context of Software Engineering (SE) education. We provide an open dataset from a first-semester programming and SE course with about 600 students and compare a requirement-driven set of established KT models to identify suitable candidate models for an ITS for SE education. Based on ITS-oriented requirements (e.g., scalability, interpretability, support for repeated attempts, and items involving multiple competencies), we compare established KT models and Elo-based variants in terms of (i) predicting the next response within a semester and (ii) transfer between semesters as well as (iii) predicting results of final exam tasks based on interactions during the course. Our results show that an Elo-based model (M-Elo) achieves strong predictive performance while meeting most of our predefined requirements. Furthermore, our results indicate limited predictive power for final exam performance. The results provide valuable insights into KT in SE education and highlight models that potentially perform well in ITSs for SE education.
DOI: 10.5281/zenodo.14799437
title: Evaluating Knowledge Tracing Models for Competency Assessment in Software Engineering Education

description: Knowledge Tracing (KT) tracks students' learning progress to adapt learning content and feedback accordingly. Hence, it is a crucial part of educational technologies, particularly Intelligent Tutoring Systems (ITSs). Which KT model is most suitable depends on contextual factors, particularly the learning domain. While substantial prior work has covered KT in computer science education, few studies have provided open datasets and comprehensively compared KT models in the context of Software Engineering (SE) education. We provide an open dataset from a first-semester programming and SE course with about 600 students and compare a requirement-driven set of established KT models to identify suitable candidate models for an ITS for SE education. Based on ITS-oriented requirements (e.g., scalability, interpretability, support for repeated attempts, and items involving multiple competencies), we compare established KT models and Elo-based variants in terms of (i) predicting the next response within a semester and (ii) transfer between semesters as well as (iii) predicting results of final exam tasks based on interactions during the course. Our results show that an Elo-based model (M-Elo) achieves strong predictive performance while meeting most of our predefined requirements. Furthermore, our results indicate limited predictive power for final exam performance. The results provide valuable insights into KT in SE education and highlight models that potentially perform well in ITSs for SE education.
DOI: 10.5281/zenodo.14799436
title: Evaluating Knowledge Tracing Models for Competency Assessment in Software Engineering Education

description: Knowledge Tracing (KT) tracks students' learning progress to adapt learning content and feedback accordingly. Hence, it is a crucial part of educational technologies, particularly Intelligent Tutoring Systems (ITSs). Which KT model is most suitable depends on contextual factors, particularly the learning domain. While substantial prior work has covered KT in computer science education, few studies have provided open datasets and comprehensively compared KT models in the context of Software Engineering (SE) education. We provide an open dataset from a first-semester programming and SE course with about 600 students and compare a requirement-driven set of established KT models to identify suitable candidate models for an ITS for SE education. Based on ITS-oriented requirements (e.g., scalability, interpretability, support for repeated attempts, and items involving multiple competencies), we compare established KT models and Elo-based variants in terms of (i) predicting the next response within a semester and (ii) transfer between semesters as well as (iii) predicting results of final exam tasks based on interactions during the course. Our results show that an Elo-based model (M-Elo) achieves strong predictive performance while meeting most of our predefined requirements. Furthermore, our results indicate limited predictive power for final exam performance. The results provide valuable insights into KT in SE education and highlight models that potentially perform well in ITSs for SE education.
DOI: 10.5281/zenodo.18540130
title: Data and code for 'Rapid motion reduces detectability, but not via flicker fusion camouflage, in jumping spiders'

description: This is the dataset for Min Tan, Long Yu, Norma-Rashid Y., Eunice J. Tan, Daiqin Li. (2026). Rapid motion reduces detectability, but not via flicker fusion camouflage, in jumping spiders.

For a complete overview, see the 'README_Tan_et_al' file. 

Funding sourcesThis work was supported by the National Natural Science Foundation of China (32270531 and 32301291), the Singapore Ministry of Education Academic Research Fund (AcRF) (A-8001085-00-00), and the Animal Behavior Society Student Research Grant.

DATA FILES AND VARIABLESThe data files are listed in the folder 'Data_Tan_et_al'.

There is one folder and two CSV files in total:# Spectrometry (folder)# JND between models and background (CSV)# Portia_response (CSV)

Please refer to 'README_DATA_Tan_et_al' for more details.

CODE SCRIPTS AND WORKFLOWThe R codes for statistical analyses and figures are listed in the folder 'Codes_Tan_et_al'.

There are three R code files in total:# Visual_modelling# JND plots_models vs background# Portia_response

Please refer to 'README_CODES_Tan_et_al' for more details.

SOFTWARE VERSIONS1. Spectral reflectance data was collected using an Ocean Optic USB4000 spectrometer with a tungsten halogen light source and DH-2000 deuterium.

2. Images were calibrated and analyzed using the image calibration and analysis (MICA) toolbox (Troscianko and Stevens, 2015) in ImageJ 1.54 (Schneider et al., 2012).

3. The data was analysed with R version 4.4.2.
DOI: 10.5281/zenodo.18540133
title: Data and code for 'Rapid motion reduces detectability, but not via flicker fusion camouflage, in jumping spiders'

description: This is the dataset for Min Tan, Long Yu, Norma-Rashid Y., Eunice J. Tan, Daiqin Li. (2026). Rapid motion reduces detectability, but not via flicker fusion camouflage, in jumping spiders.

For a complete overview, see the 'README_Tan_et_al' file. 

Funding sourcesThis work was supported by the National Natural Science Foundation of China (32270531 and 32301291), the Singapore Ministry of Education Academic Research Fund (AcRF) (A-8001085-00-00), and the Animal Behavior Society Student Research Grant.

DATA FILES AND VARIABLESThe data files are listed in the folder 'Data_Tan_et_al'.

There is one folder and two CSV files in total:# Spectrometry (folder)# JND between models and background (CSV)# Portia_response (CSV)

Please refer to 'README_DATA_Tan_et_al' for more details.

CODE SCRIPTS AND WORKFLOWThe R codes for statistical analyses and figures are listed in the folder 'Codes_Tan_et_al'.

There are three R code files in total:# Visual_modelling# JND plots_models vs background# Portia_response

Please refer to 'README_CODES_Tan_et_al' for more details.

SOFTWARE VERSIONS1. Spectral reflectance data was collected using an Ocean Optic USB4000 spectrometer with a tungsten halogen light source and DH-2000 deuterium.

2. Images were calibrated and analyzed using the image calibration and analysis (MICA) toolbox (Troscianko and Stevens, 2015) in ImageJ 1.54 (Schneider et al., 2012).

3. The data was analysed with R version 4.4.2.
DOI: 10.5281/zenodo.18541134
title: Methionine synthase reductase regulates heterochromatin independently of methionine synthesis through mitochondrial homeostasis

description: Metabolomics dataset for publication: Methionine synthase reductase regulates heterochromatin independently of methionine synthesis through mitochondrial homeostasis
DOI: 10.5281/zenodo.18541135
title: Methionine synthase reductase regulates heterochromatin independently of methionine synthesis through mitochondrial homeostasis

description: Metabolomics dataset for publication: Methionine synthase reductase regulates heterochromatin independently of methionine synthesis through mitochondrial homeostasis
DOI: 10.24400/312072/i01-2025.001
title: SLR+DORIS-based sp3 orbits for altimeter satellites from the NASA GSFC Analysis Center

description: The std2400 orbits are SLR+DORIS-based orbits for the TOPEX/Poseidon, Jason-1, Jason-2, Jason-3 and Sentinel-6A satellites computed by NASA/GSFC Analysis Center for IDS using the std2400 POD standards. These precise orbits are in the sp3 format and are available at IDS Data Centers. The conventions of the Copernicus POD group regarding the format of the sp3 files for these LEO satellites is applied. The satellite position field is written out with the format (4x,3f14.7). This provides extra precision for the position down to 0.1 mm for Low Earth Orbit (LEO) satellites.