cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22329088
title: Laser-induced forced evaporative cooling of molecular anions below 4 Kelvin

description: The data files contain the data for each figure used in the Main article and Supplementary material.
DOI: 10.6084/m9.figshare.22329088.v1
title: Laser-induced forced evaporative cooling of molecular anions below 4 Kelvin

description: The data files contain the data for each figure used in the Main article and Supplementary material.
DOI: 10.6084/m9.figshare.22578691
title: Single multimode fiber for in vivo light-field encoded nano-imaging

description: In vivo imaging with sub-cellular resolution is demonstrated in mice models.
DOI: 10.6084/m9.figshare.22578691.v1
title: Single multimode fiber for in vivo light-field encoded nano-imaging

description: In vivo imaging with sub-cellular resolution is demonstrated in mice models.
DOI: 10.6084/m9.figshare.22802948.v1
title: Profiling of basal and ligand-dependent GPCR activities by means of a polyvalent cell-based high-throughput platform

description: Raw data for the supplementary information file.
DOI: 10.6084/m9.figshare.22802948
title: Profiling of basal and ligand-dependent GPCR activities by means of a polyvalent cell-based high-throughput platform

description: Raw data for the supplementary information file.
DOI: 10.17028/rd.lboro.23212757.v1
title: An overheating criterion for bedrooms in temperate climates: statistical analyses

description: This supplementary information contains worksheets of statistical analyses that underpin the narrative and bar charts presented in the following paper by the above authors: <em>An overheating criterion for bedrooms in temperate climates: Derivation and application</em>, published in Building Services Engineering Research & Technology in 2023. The analyses aim to identify the dwelling and household characteristics for which there are significant differences in the prevalence of overheating in the main bedrooms of English dwellings, where said prevalence is calculated using both an established adaptive overheating criterion, and the newly proposed criterion based on mean night-time bedroom temperatures. <strong>Analysis method</strong> The sample of 591 bedrooms is divided according to thirteen different dwelling categories (dwelling type, energy efficiency rating, etc.) delineated by dwelling characteristics (e.g., semi-detached, detached, flat, etc). The same approach is also used for EFUS questionnaire data describing the households, dividing according to eleven categories (tenure, income, age, etc.) delineated by household characteristics (e.g., privately owned or rented, social rent). In many cases, to clarify where statistical differences exist, characteristics are grouped together (e.g., overheating in flats is compared with that in all other dwelling types).
DOI: 10.6084/m9.figshare.22661701.v1
title: Systems consolidation induces multiple memory engrams for a flexible recall strategy in observational fear memory in male mice

description: Source Data
DOI: 10.6084/m9.figshare.22661701
title: Systems consolidation induces multiple memory engrams for a flexible recall strategy in observational fear memory in male mice

description: Source Data
DOI: 10.6084/m9.figshare.23537739.v1
title: Toll-like receptor mediated inflammation directs B cells towards protective antiviral extrafollicular responses

description: Flow cytometry, ELISA, ELISPOT analyses
DOI: 10.6084/m9.figshare.23537739
title: Toll-like receptor mediated inflammation directs B cells towards protective antiviral extrafollicular responses

description: Flow cytometry, ELISA, ELISPOT analyses
DOI: 10.6084/m9.figshare.21740153.v1
title: The tumor suppressor CREBBP and the oncogene MYCN cooperate to induce malignant brain tumors in mice

description: The tumor suppressor CREBBP and the oncogene MYCN cooperate to induce malignant brain tumors in mice
DOI: 10.6084/m9.figshare.21740153
title: The tumor suppressor CREBBP and the oncogene MYCN cooperate to induce malignant brain tumors in mice

description: The tumor suppressor CREBBP and the oncogene MYCN cooperate to induce malignant brain tumors in mice
DOI: 10.5281/zenodo.8117418
title: lmbias

description: Data and code for project investigating bias in machine translations
DOI: 10.5281/zenodo.8117417
title: lmbias

description: Data and code for project investigating bias in machine translations
DOI: 10.6084/m9.figshare.23618064.v1
title: Data: Dream Content Discovery from Social Media with an Unsupervised Mixed-Method Approach

description: This repository contains the data generated for the research study titled "Dream Content Discovery from Social Media with an Unsupervised Mixed-Method Approach". The descriptions of the files (& their contents) can be found in <em>files_description.pdf</em>
DOI: 10.17632/2jjm5v34cn.2
title: Dataset of Indonesian students’ self-regulation in online and blended learning modes in the context of COVID-19

description: The questionnaires were distributed among 532 high school and undergraduate students in Indonesia. This data set contains data on Indonesian students’ self-regulation in online and blended learning modes in the context of COVID-19. Self-regulated learning skills consist of 6 subscale constructs including environment structuring, goal setting, time management, help-seeking, task strategies, and self-evaluation.
DOI: 10.17632/2jjm5v34cn.3
title: Dataset of Indonesian students’ self-regulation in online and blended learning modes in the context of COVID-19

description: The questionnaires were distributed among 532 high school and undergraduate students in Indonesia. This data set contains data on Indonesian students’ self-regulation in online and blended learning modes in the context of COVID-19. Self-regulated learning skills consist of 6 subscale constructs including environment structuring, goal setting, time management, help-seeking, task strategies, and self-evaluation.
DOI: 10.17632/2jjm5v34cn.1
title: Dataset of Indonesian students’ self-regulation in online and blended learning modes in the context of COVID-19

description: The questionnaires were distributed among 532 high school and undergraduate students in Indonesia. This data set contains data on Indonesian students’ self-regulation in online and blended learning modes in the context of COVID-19. Self-regulated learning skills consist of 6 subscale constructs including environment structuring, goal setting, time management, help-seeking, task strategies, and self-evaluation.
DOI: 10.17632/2jjm5v34cn.4
title: Dataset of Indonesian students’ self-regulation 

description: The questionnaires were distributed among 532 high school and undergraduate students in Indonesia.
DOI: 10.6084/m9.figshare.23633739
title: Hypermethylated RASSF1A quantification data

description: Hypermethylated RASSF1A quantification data
DOI: 10.6084/m9.figshare.23633739.v1
title: Hypermethylated RASSF1A quantification data

description: Hypermethylated RASSF1A quantification data
DOI: 10.5281/zenodo.7797364
title: A 5 m topographic wetness index (TWI) across France

description: The topographic wetness index (TWI) characterizes potential soil wetness as a function of the contributing area and local slope. It was derived from the national airborne DTM (RGE ALTI ®) at 5 m spatial resolution, which is available from the website of the French National Geographic Institute (IGN) (https://geoservices.ign.fr/). Dataset includes: 280 GeoTIFF raster files (TWI_000.tif) projected in the French Lambert-93 system (EPSG code 2154), each file corresponding to a 50 x 50 km tile. The number indicates the tile of interest ; 1 vector tile index at Google Earth format (tile_index.kmz) showing the location of each tile. This file has been created to facilitate download layer only on area of interest. To reduce storage space and download time, each raster file has been packed at 7-Zip freeware format. A complete description of the dataset can be found in Panhelleux, L., Rapinel, S., Lemercier, B., Gayet, G., Hubert-Moy, L., 2023. A 5 m dataset of digital terrain model derivatives across mainland France. Data in Brief 109369. https://doi.org/10.1016/j.dib.2023.109369
DOI: 10.5281/zenodo.7797365
title: A 5 m topographic wetness index (TWI) across France

description: The topographic wetness index (TWI) characterizes potential soil wetness as a function of the contributing area and local slope. It was derived from the national airborne DTM (RGE ALTI ®) at 5 m spatial resolution, which is available from the website of the French National Geographic Institute (IGN) (https://geoservices.ign.fr/). Dataset includes: 280 GeoTIFF raster files (TWI_000.tif) projected in the French Lambert-93 system (EPSG code 2154), each file corresponding to a 50 x 50 km tile. The number indicates the tile of interest ; 1 vector tile index at Google Earth format (tile_index.kmz) showing the location of each tile. This file has been created to facilitate download layer only on area of interest. To reduce storage space and download time, each raster file has been packed at 7-Zip freeware format. A complete description of the dataset can be found in Panhelleux, L., Rapinel, S., Lemercier, B., Gayet, G., Hubert-Moy, L., 2023. A 5 m dataset of digital terrain model derivatives across mainland France. Data in Brief 109369. https://doi.org/10.1016/j.dib.2023.109369
DOI: 10.5281/zenodo.7795502
title: A 5 m vertical distance to channel network index (VDCNI) across France

description: The vertical distance to channel network index (VDCNI) expresses the vertical height (in meter) between the elevation of a pixel and the nearest channel. It was derived from the national airborne DTM (RGE ALTI ®) at 5 m spatial resolution, which is available from the website of the French National Geographic Institute (IGN) (https://geoservices.ign.fr/), and the GIS layer of the channel network in the national hydrological database https://www.sandre.eaufrance.fr/atlas/srv/fre/catalog.search#/metadata/3b3d3c56-d9b6-4625-a57e-ba054e798274. Dataset includes: 280 GeoTIFF raster files (VDCNI_000.tif) projected in the French Lambert-93 system (EPSG code 2154), each file corresponding to a 50 x 50 km tile. The number indicates the tile of interest ; 1 vector tile index at Google Earth format (tile_index.kmz) showing the location of each tile. This file has been created to facilitate download layer only on area of interest. To reduce storage space and download time, each raster file has been packed at 7-Zip freeware format. A complete description of the dataset can be found in Panhelleux, L., Rapinel, S., Lemercier, B., Gayet, G., Hubert-Moy, L., 2023. A 5 m dataset of digital terrain model derivatives across mainland France. Data in Brief 109369. https://doi.org/10.1016/j.dib.2023.109369
DOI: 10.5281/zenodo.7795503
title: A 5 m vertical distance to channel network index (VDCNI) across France

description: The vertical distance to channel network index (VDCNI) expresses the vertical height (in meter) between the elevation of a pixel and the nearest channel. It was derived from the national airborne DTM (RGE ALTI ®) at 5 m spatial resolution, which is available from the website of the French National Geographic Institute (IGN) (https://geoservices.ign.fr/), and the GIS layer of the channel network in the national hydrological database https://www.sandre.eaufrance.fr/atlas/srv/fre/catalog.search#/metadata/3b3d3c56-d9b6-4625-a57e-ba054e798274. Dataset includes: 280 GeoTIFF raster files (VDCNI_000.tif) projected in the French Lambert-93 system (EPSG code 2154), each file corresponding to a 50 x 50 km tile. The number indicates the tile of interest ; 1 vector tile index at Google Earth format (tile_index.kmz) showing the location of each tile. This file has been created to facilitate download layer only on area of interest. To reduce storage space and download time, each raster file has been packed at 7-Zip freeware format. A complete description of the dataset can be found in Panhelleux, L., Rapinel, S., Lemercier, B., Gayet, G., Hubert-Moy, L., 2023. A 5 m dataset of digital terrain model derivatives across mainland France. Data in Brief 109369. https://doi.org/10.1016/j.dib.2023.109369
DOI: 10.5281/zenodo.7798630
title: A 5 m multi-scale topographic position color composite (MTPCC) across France

description: The multi-scale topographic position color composite (MTPCC) describes the position of a pixel relative to its neighborhood at several spatial scales. It was derived from the national airborne DTM (RGE ALTI ®) at 5 m spatial resolution, which is available from the website of the French National Geographic Institute (IGN) (https://geoservices.ign.fr/). Dataset includes: 280 GeoTIFF raster files (MTPCC_000.tif) projected in the French Lambert-93 system (EPSG code 2154), each file corresponding to a 50 x 50 km tile. The number indicates the tile of interest ; 1 vector tile index at Google Earth format (tile_index.kmz) showing the location of each tile. This file has been created to facilitate download layer only on area of interest. To reduce storage space and download time, each raster file has been packed at 7-Zip freeware format. A complete description of the dataset can be found in Panhelleux, L., Rapinel, S., Lemercier, B., Gayet, G., Hubert-Moy, L., 2023. A 5 m dataset of digital terrain model derivatives across mainland France. Data in Brief 109369. https://doi.org/10.1016/j.dib.2023.109369
DOI: 10.5281/zenodo.7798631
title: A 5 m multi-scale topographic position color composite (MTPCC) across France

description: The multi-scale topographic position color composite (MTPCC) describes the position of a pixel relative to its neighborhood at several spatial scales. It was derived from the national airborne DTM (RGE ALTI ®) at 5 m spatial resolution, which is available from the website of the French National Geographic Institute (IGN) (https://geoservices.ign.fr/). Dataset includes: 280 GeoTIFF raster files (MTPCC_000.tif) projected in the French Lambert-93 system (EPSG code 2154), each file corresponding to a 50 x 50 km tile. The number indicates the tile of interest ; 1 vector tile index at Google Earth format (tile_index.kmz) showing the location of each tile. This file has been created to facilitate download layer only on area of interest. To reduce storage space and download time, each raster file has been packed at 7-Zip freeware format. A complete description of the dataset can be found in Panhelleux, L., Rapinel, S., Lemercier, B., Gayet, G., Hubert-Moy, L., 2023. A 5 m dataset of digital terrain model derivatives across mainland France. Data in Brief 109369. https://doi.org/10.1016/j.dib.2023.109369
DOI: 10.15128/r1x920fw91n
title: Ghost stabilisation of the Material Point Method for stable quasi-static and dynamic analysis of large deformation problems [dataset]

description: Figure data for the paper "Ghost stabilisation of the Material Point Method for stable quasi-static and dynamic analysis of large deformation problems"
description: The unstable nature of the material point method is widely documented and is a barrier to the method being used for routine engineering analyses of large deformation problems. The vast majority of papers concerning this issue are focused on the instabilities that manifest when a material point crosses between background grid cells. However, there are other issues related to the stability of material point methods. This paper focuses on the issue of the conditioning of the global system of equations caused by the arbitrary nature of the position of the physical domain relative to the background computational grid. The issue is remedied here via the use of a Ghost stabilisation technique that penalises variations in the gradient of the solution field near the boundaries of the physical domain. This technique transforms the stability of the material point method, providing a robust computational framework for large deformation explicit dynamic and implicit quasi-static analysis.
description: Material Point Method
DOI: 10.5281/zenodo.6394523
title: Dataset: Decentralized Cross-Blockchain Asset Transfers with Transfer Confirmation

description: Dataset resulting from the experiments conducted in "Decentralized Cross-Blockchain Asset Transfers with Transfer Confirmation"
DOI: 10.5281/zenodo.6394522
title: Dataset: Decentralized Cross-Blockchain Asset Transfers with Transfer Confirmation

description: Dataset resulting from the experiments conducted in "Decentralized Cross-Blockchain Asset Transfers with Transfer Confirmation"
DOI: 10.48756/ined-ie0254-7203
title: Violences et rapports de genre dans les Outre-mer (2018)
title: Virage Outre-mer
title: Violence and Gender Relations in the French Overseas Territories
DOI: 10.5281/zenodo.8107271
title: Dataset for "Analysis of cardiac arrhythmia sources using Feynman diagrams"

description: This archive contains the numerical methods presented in the publication "Analysis of cardiac arrhythmia sources using Feynman diagrams" as well as the data sets these methods have been applied on. The Python module for Ithildin contains the actual Python source code of those methods. Additional Python scripts have been used to generate the figures in the paper (.py files). The optical voltage mapping data (optical_*) has been slightly pre-processed (noise reduction, re-scaling, etc). The other files contain simulation results from several finite differences simulations of the mono-domain model. Please cite this paper when using the implementation: Arno L, Kabus D, Dierckx H (2023) Analysis of cardiac arrhythmia sources using Feynman diagrams.https://doi.org/10.48550/arXiv.2307.01508
description: {"references": ["Please cite this paper wheArno L, Kabus D, Dierckx H (2023) Analysis of cardiac arrhythmia sources using Feynman diagrams.https://doi.org/10.48550/arXiv.2307.01508"]}
DOI: 10.5281/zenodo.8107270
title: Dataset for "Analysis of cardiac arrhythmia sources using Feynman diagrams"

description: This archive contains the numerical methods presented in the publication "Analysis of cardiac arrhythmia sources using Feynman diagrams" as well as the data sets these methods have been applied on. The Python module for Ithildin contains the actual Python source code of those methods. Additional Python scripts have been used to generate the figures in the paper (.py files). The optical voltage mapping data (optical_*) has been slightly pre-processed (noise reduction, re-scaling, etc). The other files contain simulation results from several finite differences simulations of the mono-domain model. Please cite this paper when using the implementation: Arno L, Kabus D, Dierckx H (2023) Analysis of cardiac arrhythmia sources using Feynman diagrams.https://doi.org/10.48550/arXiv.2307.01508
description: {"references": ["Please cite this paper wheArno L, Kabus D, Dierckx H (2023) Analysis of cardiac arrhythmia sources using Feynman diagrams.https://doi.org/10.48550/arXiv.2307.01508"]}
DOI: 10.5281/zenodo.7426431
title: Date set for the manuscript: The Role of Sediment Gas Storage in the Methane Dynamics of a Shallow Freshwater Reservoir

description: The dataset supports the findings of the manuscript entitled: Linking Sediment Gas Storage to the Methane Dynamics in a Shallow Freshwater Reservoir. The manuscript presents results based on in-situ monitoring at the main pre-dam of the Wupper reservoir. The reservoir is located in Germany and the monitoring was conducted from March 2020 to November 2021. The main goal of the monitoring was to measure the spatial variability of methane fluxes and its dynamics in the reservoir. The methane budget of the reservoir was then analysed in combination with estimates of the amount of free gas stored in the sediment matrix, which were derived from acoustic observations. The findings are discussed in the manuscript. Therefore, the dataset provided as an xlsx file includes separate sheets for: Sediment measurements of potential methane production (PMP), loss on ignition (LOI), dissolved methane (CH<sub>4</sub>) in porewater, carbon and nitrogen content. Gas content in the sediment estimated from maximum acoustic backscatter for 2020 and 2021 for the reservoir spatial grid. Monthly time-series of methane fluxes (oxidation, diffusion, ebullition, and potential flux at the sediment water interface - PSWI) for each monitoring location and for the reservoir (average of all monitoring locations) with the inclusion of degassing at the dam overflow and advective methane transport (Net-export) by inflow and outflow. Time series of daily mean values of ebullition and environmental parameters monitored in the reservoir. Explanations and units are provided in column labels. NaN refers to missing data. In this version (Version 2), the calculation of the PSWI has been corrected. It is now calculated as the vertically integrated potential methane production over the top 30 cm layer of the sediment.
description: The study was financially supported by by the German Federal Environmental Foundation (DBU – Deutsche Bundesstiftung Umwelt, grant numbers AZ 34765-01 and AZ 37831-01) and by the German Research Foundation (DFG, grant number LO 1150/16).
DOI: 10.5281/zenodo.7426432
title: Date set for the manuscript: The Role of Sediment Gas Storage in the Methane Dynamics of a Shallow Freshwater Reservoir

description: The dataset supports the findings of the manuscript entitled: The Role of Sediment Gas Storage in the Methane Dynamics of a Shallow Freshwater Reservoir. The manuscript presents results based on in-situ monitoring at the main pre-dam of the Wupper reservoir. The reservoir is located in Germany and the monitoring was conducted from March 2020 to November 2021. The main goal of the monitoring was to measure the spatial variability of methane fluxes and its dynamics in the reservoir. The methane budget of the reservoir was then analysed in combination with estimates of the amount of free gas stored in the sediment matrix, which were derived from acoustic observations. The findings are discussed in the manuscript. Therefore, the dataset provided as an xlsx file includes separate sheets for: Sediment measurements of potential methane production (PMP), loss on ignition (LOI), dissolved methane (CH<sub>4</sub>) in porewater, carbon and nitrogen content. Gas content in the sediment estimated from maximum acoustic backscatter for 2020 and 2021 for the reservoir spatial grid. Monthly time-series of methane fluxes (oxidation, diffusion, ebullition, and potential flux at the sediment water interface) for each monitoring location and for the reservoir (average of all monitoring locations) with the inclusion of degassing at the dam overflow and advective methane transport (Net-export) by inflow and outflow. Time series of daily mean values of ebullition and environmental parameters monitored in the reservoir. Exaplanations and units are provided in column labels. NaN refers to missing data.
description: The study was financially supported by by the German Federal Environmental Foundation (DBU – Deutsche Bundesstiftung Umwelt, grant numbers AZ 34765-01 and AZ 37831-01) and by the German Research Foundation (DFG, grant number LO 1150/16).