cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7516460
title: Distinct mobility patterns of BRCA2 molecules at DNA damage sites v2

description: This repository contains source data and processed data accompanied with the paper:
"Distinct mobility patterns of BRCA2 molecules at DNA damage sites"
The repository contains the following files:
single molecule tracking data of BRCA2-HaloTag (JF549) in mouse ES cells either untreated or Mitomycin C (MMC) treated cells. For details on the experimental conditions please check the methods section of the accompanying paper.
At http://doi.org/10.5281/zenodo.8143173 the corresponding tracking data can be found, among other source data of this study.
For questions please contact Maarten Paul (m.w.paul [at] erasmusmc.nl
DOI: 10.5281/zenodo.7516461
title: Distinct mobility patterns of BRCA2 molecules at DNA damage sites

description: This repository contains source data and processed data accompanied with the paper: "Distinct mobility patterns of BRCA2 molecules at DNA damage sites" The repository contains the following files: - Movies: This folder contains the movies that were used for 3D single-molecule tracking. As described in the methods section of the paper, each movie consists of a 3D stack of 9 image planes that were registered using fluorescence beads from the original data. - Trajectories: These CSV files contain the results of 3D tracking using the Mosaic tracking plugin in ImageJ. Traj_* contains the tracking results where the column inMask column indicates whether a localization is inside the DNA damage mask. Traj_transformed_[1-3]_* contains the corresponding tracking data in which the mask was transformed, which was used as a control in the paper. - segment files: The data that was used in the subsequent R scripts. - segs_nest.Rdata is the same data as the segment files but in Rdata file format, to be imported in R For questions please contact Maarten Paul (m.w.paul [at] erasmusmc.nl)
DOI: 10.18167/dvn1/znskgk
title: Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."

description: Microsatellite genotypic data and R scripts for ABC-RF analyses
DOI: 10.5281/zenodo.10160254
title: Replication package for: "P-Hacking, Data Type and Data-Sharing Policy".

description: See Readme file. Journal article abstract: "This paper examines the relationship between p-hacking, publication bias, and data-sharing policies. We collect 38,876 test statistics from 1,106 articles published in leading economic journals between 2002--2020. We find that while data-sharing policies increase the provision of data, they do not decrease the extent of p-hacking and publication bias. Similarly, articles that use hard-to-access administrative data or third-party surveys, as compared to those that use easier-to-access (e.g., author-collected) data are not different in their p-hacking and publication extent. Voluntary provision of data by authors on their homepages offers no evidence of reduced p-hacking."
DOI: 10.5281/zenodo.10160255
title: Replication package for: "P-Hacking, Data Type and Data-Sharing Policy".

description: See Readme file. Journal article abstract: "This paper examines the relationship between p-hacking, publication bias, and data-sharing policies. We collect 38,876 test statistics from 1,106 articles published in leading economic journals between 2002--2020. We find that while data-sharing policies increase the provision of data, they do not decrease the extent of p-hacking and publication bias. Similarly, articles that use hard-to-access administrative data or third-party surveys, as compared to those that use easier-to-access (e.g., author-collected) data are not different in their p-hacking and publication extent. Voluntary provision of data by authors on their homepages offers no evidence of reduced p-hacking."
DOI: 10.5281/zenodo.10160469
title: Relaxed-rate data generated and analysed for Lambert, Valente & Etienne 2023

description: This repository contains the data for accompanying the PhD research by Lambert et al. (2023), investigating the variation of biodiversity dynamics on islands. The data upload contains two folders. The logs folder contains are plain text logs from running the DAISIE models on the University of Groningen Hábrók High Performance Computing Cluster (HPCC). There is one log per HPCC job. The results folder contains folders for each archipelago included in the study and within each of those folders are model output from the DAISIE R package. Each result is stored as an .rds file. Data was generated and analysed using the relaxedDAISIE and DAISIE R packages. The code for these packages is version controlled on GitHub and is freely available in open-source repositories. See the Related Identifiers section for links to relevant archived versions of both these packages.
DOI: 10.5281/zenodo.10160470
title: Relaxed-rate data generated and analysed for Lambert, Valente & Etienne 2023

description: This repository contains the data for accompanying the PhD research by Lambert et al. (2023), investigating the variation of biodiversity dynamics on islands. The data upload contains two folders. The logs folder contains are plain text logs from running the DAISIE models on the University of Groningen Hábrók High Performance Computing Cluster (HPCC). There is one log per HPCC job. The results folder contains folders for each archipelago included in the study and within each of those folders are model output from the DAISIE R package. Each result is stored as an .rds file. Data was generated and analysed using the relaxedDAISIE and DAISIE R packages. The code for these packages is version controlled on GitHub and is freely available in open-source repositories. See the Related Identifiers section for links to relevant archived versions of both these packages.
DOI: 10.6084/m9.figshare.24434581.v1
title: Supplementary Material for: Automatic assessment of connected speech and its relation to memory in Alzheimer's Disease in low education

description: Introduction: Discourse is one of the main linguistic aspects affected by Alzheimer’s Disease (AD) and its relationship with memory needs to be further studied, mainly in low education and low socioeconomic status (SES) groups. The present study aimed at investigating differences in the recall of short narratives between participants with mild AD (AD) and a control group of typical older adults (CG) with the use of automatic assessment. Methods: 17 older adults diagnosed with AD (mean age 76.41, mean education 5,82) and 34 typical older adults (mean age 74.26, mean education 7.09) were asked to listen to and then retell a short story. Syntactic, lexical, and semantic features were assessed via the NILC-Metrix software, and the features were correlated with episodic, working, and semantic memory assessment. Results: Differences were found in 7 of the 34 features assessed. Syntactically, the group diagnosed with AD produced narratives with fewer sentences, fewer words per sentence, and lower Yngve depth scores. Lexically, the AD group produced narratives with fewer words and prepositions per sentence. Semantically, the narratives produced by the AD group featured words with a lower mean age of acquisition, and lower Brunét’s index scores. For the CG group, episodic memory performance correlated with the ratio of conjunctions. No other significant correlation was found for semantic and working memory in the CG. No correlation was found between memory performance and linguistic features for the AD group. Discussion: The automatic assessment of linguistic features showed impaired narrative recall in participants diagnosed with AD relative to healthy controls at the syntactic, lexical, and semantic levels of discourse. These findings corroborate previous literature showing a decline in discourse production performance resulting from cognitive impairment in AD. Conclusion: The assessment of linguistic performance through a narrative recall task provides valuable insights into cognitive decline related to Alzheimer’s disease.
DOI: 10.6084/m9.figshare.24434581
title: Supplementary Material for: Automatic assessment of connected speech and its relation to memory in Alzheimer's Disease in low education

description: Introduction: Discourse is one of the main linguistic aspects affected by Alzheimer’s Disease (AD) and its relationship with memory needs to be further studied, mainly in low education and low socioeconomic status (SES) groups. The present study aimed at investigating differences in the recall of short narratives between participants with mild AD (AD) and a control group of typical older adults (CG) with the use of automatic assessment. Methods: 17 older adults diagnosed with AD (mean age 76.41, mean education 5,82) and 34 typical older adults (mean age 74.26, mean education 7.09) were asked to listen to and then retell a short story. Syntactic, lexical, and semantic features were assessed via the NILC-Metrix software, and the features were correlated with episodic, working, and semantic memory assessment. Results: Differences were found in 7 of the 34 features assessed. Syntactically, the group diagnosed with AD produced narratives with fewer sentences, fewer words per sentence, and lower Yngve depth scores. Lexically, the AD group produced narratives with fewer words and prepositions per sentence. Semantically, the narratives produced by the AD group featured words with a lower mean age of acquisition, and lower Brunét’s index scores. For the CG group, episodic memory performance correlated with the ratio of conjunctions. No other significant correlation was found for semantic and working memory in the CG. No correlation was found between memory performance and linguistic features for the AD group. Discussion: The automatic assessment of linguistic features showed impaired narrative recall in participants diagnosed with AD relative to healthy controls at the syntactic, lexical, and semantic levels of discourse. These findings corroborate previous literature showing a decline in discourse production performance resulting from cognitive impairment in AD. Conclusion: The assessment of linguistic performance through a narrative recall task provides valuable insights into cognitive decline related to Alzheimer’s disease.
DOI: 10.18167/dvn1/ubwkx3
title: Suitability map for peste des petits ruminants outbreaks in the Union of the Comoros

description: Peste des petits ruminants virus (PPRV), responsible for peste des petits ruminants (PPR), is widely circulating in Africa and Asia. A Geographic Information System-based Multicriteria Evaluation was developed to map the areas suitable for PPR occurrence and spread in the Union of the Comoros. Factors associated with risk of PPR outbreaks in the Union of the Comoros were: goat density, sheep density, road density, proximity to water bodies, animal mobility index.
DOI: 10.25345/c5hx1621q
title: MassIVE MSV000093433 - 35M1_dereplication trial_BedirLab
title: Streptomyces globisporus extract from coastal ecosysytems
DOI: 10.6084/m9.figshare.24592407
title: 20231121_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24592407.v1
title: 20231121_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.18167/dvn1/lrpthe
title: Qualitative data on barriers and actions to boost soil carbon sequestration

description: This dataset is composed of qualitative data related to barriers and actions to boost soil carbon sequestration in France and Senegal. These data were produced in 2018.
DOI: 10.6084/m9.figshare.24434614
title: Supplementary Material for: Evaluation of Inclusion and Exclusion Criteria for Pyoderma Gangrenosum in Clinical Research: A Systematic Review

description: Introduction: Pyoderma gangrenosum (PG) is a rare, inflammatory dermatologic disease that, as a diagnosis of exclusion with non-specific histologic features, is difficult to diagnose. As pharmaceutical interest in potential treatments for PG increases, the need for standardized diagnostic criteria to ensure reproducibility, comparability, and external validity of PG research is required. In this study, we aim to characterize the inclusion and exclusion criteria used in the diagnosis PG in clinical research studies as well as the eligibility of PG in clinical trials. Methods: A systematic review was conducted to characterize the PG inclusion and exclusion criteria in research studies. An additional search of the United States and international clinical trials databases was conducted as well to capture eligibility criteria for PG trials. Results: Our study revealed a broad range of inclusion and exclusion criteria used to establish the presence or absence of PG. Based on eight distinct categories used to characterize inclusion criteria for research studies, diagnosis by a dermatologist (n=25, 31.6%), no inclusion criteria listed (n=21, 26.6%), and clinical and histopathologic features consistent with PG (n=20, 25.3%) were most common. For current clinical trials, six categories were used to characterize inclusion criteria, of which clinical and histopathologic features consistent with PG (n=5, 31.3%), identification based on diagnosis of PG (n=4, 25.0%), and clinical features consistent with PG (n=3, 18.8%) were the most common. Conclusion: This systematic literature review highlights the range of heterogeneity in diagnostic and eligibility criteria used in PG-directed clinical research and current clinical trials and illustrates the need for the development of consensus guidelines and a rigorous framework to enable high-quality future trials for PG.
DOI: 10.34808/af5b-r922
title: Raman spectra of MXenes catalysts

description: Data contain results from Raman spectroscopy of the Ti3C2Tx MXenes produced via acidic etching aluminum from MAX Phase (Ti3C2-Al-Ti3C2-Al-Ti3C2) using different etching agents, HF/HCl and HF/H2SO4 with different weight ratios (1:3, 1:4, and 1:5). The samples were labeled as MXene HF/HCl X:Y and MXene HF/H2SO4 X:Y, where X:Y means the acids weight ratios.  MAX Phase and the sample produced via etching aluminum from MAX Phase with 48%HF (MXene HF)  were also analyzed. The measurements were performed in inVia Renishaw; l =785 nm.
DOI: 10.5281/zenodo.10149810
title: Solid-state $^{13}$C-NMR spectroscopic determination of sidechain mobilities in zirconium-based metal-organic frameworks

description: This Dataset contains the raw data contained in the figures of our journal article in Magnetic Resonance: https://doi.org/10.5194/mr-2023-13.
DOI: 10.5281/zenodo.10149811
title: Solid-state $^{13}$C-NMR spectroscopic determination of sidechain mobilities in zirconium-based metal-organic frameworks

description: This Dataset contains the raw data contained in the figures of our journal article in Magnetic Resonance: https://doi.org/10.5194/mr-2023-13.
DOI: 10.34808/5adk-ev27
title: TGA data of MXenes catalysts

description: Data contain results from TGA measurement of the Ti3C2Tx MXenes produced via acidic etching aluminum from MAX Phase (Ti3C2-Al-Ti3C2-Al-Ti3C2) using different etching agents, HF/HCl and HF/H2SO4 with different weight ratios (1:3, 1:4, and 1:5). The samples were labeled as MXene HF/HCl X:Y and MXene HF/H2SO4 X:Y, where X:Y means the acids weight ratios.  MAX Phase and the sample produced via etching aluminum from MAX Phase with 48%HF (MXene HF) were also analyzed. The measurements were performed in SDT Q600 thermal analyzer.
DOI: 10.5517/ccdc.csd.cc2dhj4l
title: CCDC 2219449: Experimental Crystal Structure Determination

description: Related Article: Jun-Jie Fang, Zheng Liu, Yang-Lin Shen, Yun-Peng Xie, Xing Lu|2023|Chemical Science|14|12637|doi:10.1039/D3SC04682F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhjgx
title: CCDC 2219459: Experimental Crystal Structure Determination

description: Related Article: Jun-Jie Fang, Zheng Liu, Yang-Lin Shen, Yun-Peng Xie, Xing Lu|2023|Chemical Science|14|12637|doi:10.1039/D3SC04682F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhjl1
title: CCDC 2219463: Experimental Crystal Structure Determination

description: Related Article: Jun-Jie Fang, Zheng Liu, Yang-Lin Shen, Yun-Peng Xie, Xing Lu|2023|Chemical Science|14|12637|doi:10.1039/D3SC04682F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhjm2
title: CCDC 2219464: Experimental Crystal Structure Determination

description: Related Article: Jun-Jie Fang, Zheng Liu, Yang-Lin Shen, Yun-Peng Xie, Xing Lu|2023|Chemical Science|14|12637|doi:10.1039/D3SC04682F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34683/sr2161
title: StoneRounds Case: SR2161
title: AR Stargardt Disease

description: StoneRounds Case SR2161 was diagnosed with AR Stargardt Disease likely caused by mutations in the gene: ABCA4.
DOI: 10.5517/ccdc.csd.cc2flct7
title: CCDC 2251989: Experimental Crystal Structure Determination

description: Related Article: Swati Singh, Gopal Chakrabortty, Sudipta Raha Roy|2023|Chemical Science|14|12541|doi:10.1039/D3SC04447E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34683/sr558
title: StoneRounds Case: SR558
title: AR Stargardt Disease

description: StoneRounds Case SR558 was diagnosed with AR Stargardt Disease likely caused by mutations in the gene: ABCA4.
DOI: 10.5281/zenodo.10160597
title: Cutting the Frame: An In-Depth Look at the Hitchcock Computer Vision Dataset

description: The Hitchcock Computer Vision Dataset is a comprehensive collection of annotated frames from fifteen Alfred Hitchcock films, created for the purpose of advancing research in film studies and digital humanities. The dataset leverages the power of Google's Vision API to provide detailed annotations such as object detection, facial recognition, web-entity analysis, explicit content filtering, and more. The dataset consists of a CSV file containing about 105,000 frames, uniformly extracted from the films using a time-based approach. Each frame is accompanied by metadata, including the film name, timestamp, and release year, allowing researchers to explore the evolution of Hitchcock's cinematic techniques and recurring themes.
DOI: 10.5281/zenodo.8403812
title: Cutting the Frame: An In-Depth Look at the Hitchcock Computer Vision Dataset

description: The Hitchcock Computer Vision Dataset is a comprehensive collection of annotated frames from fifteen Alfred Hitchcock films, created for the purpose of advancing research in film studies and digital humanities. The dataset leverages the power of Google's Vision API to provide detailed annotations such as object detection, facial recognition, web-entity analysis, explicit content filtering, and more. The dataset consists of a CSV file containing about 105,000 frames, uniformly extracted from the films using a time-based approach. Each frame is accompanied by metadata, including the film name, timestamp, and release year, allowing researchers to explore the evolution of Hitchcock's cinematic techniques and recurring themes.
DOI: 10.5281/zenodo.8403813
title: Cutting the Frame: An In-Depth Look at the Hitchcock Computer Vision Dataset

description: The Hitchcock Computer Vision Dataset is a comprehensive collection of annotated frames from fifteen Alfred Hitchcock films, created for the purpose of advancing research in film studies and digital humanities. The dataset leverages the power of Google's Vision API to provide detailed annotations such as object detection, facial recognition, web-entity analysis, explicit content filtering, and more. The dataset consists of a CSV file containing about 105,000 frames, uniformly extracted from the films using a time-based approach. Each frame is accompanied by metadata, including the film name, timestamp, and release year, allowing researchers to explore the evolution of Hitchcock's cinematic techniques and recurring themes.
DOI: 10.34683/sr1767
title: StoneRounds Case: SR1767
title: AR Stargardt Disease

description: StoneRounds Case SR1767 was diagnosed with AR Stargardt Disease likely caused by mutations in the gene: ABCA4.
DOI: 10.48373/41bz-fd17
title: eLTER Controlled Lists
DOI: 10.34683/sr549
title: StoneRounds Case: SR549
title: AD Retinitis Pigmentosa

description: StoneRounds Case SR549 was diagnosed with AD Retinitis Pigmentosa likely caused by mutations in the gene: RHO.
DOI: 10.34808/8cpm-b411
title: XRD patterns of MXenes ashes obtained after TGA measurement

description: Data contain results from XRD measurements of the product (ashes) produced after TGA of MAX Phase, MXene HF, MXene HF/HCl 1:3 and MXene HF/H2SO4 1:3 . The measurements were performed in AERIS PANalytical X-ray diffractometer with Cu-Ka radiation.
DOI: 10.6092/unibo/amsacta/7430
title: ConcePTION WP3 task 3.3. Quantification of metformin, levocetirizine and venlafaxine/O-desmethyl venlafaxine in milk and blood collected from lactating sows and in piglets’ blood.

description: The dataset contains data about metformin, levocetirizine and venlafaxine (and its main metabolite O-desmethyl venlafaxine) quantification in milk and blood collected from lactating sows and in piglets’ blood, obtained in the framework of the Horizon 2020 IMI funded project ConcePTION (grant agreement 821520). The main goal of ConcePTION is to establish a trusted ecosystem that can efficiently, systematically, and in an ethically responsible manner, generate and disseminate reliable evidence-based information regarding effects of medications used during pregnancy and breastfeeding to women and their healthcare providers. This will be achieved by generating, cataloguing, linking, collecting and analysing data from pharmacovigilance, modelling, routine healthcare, breastmilk samples through a large network. Task 3.3 of WP3 aims at developing and characterising a relevant in vivo model for drug passage from maternal blood to human breast milk. Based on a preliminary scan of existing literature, the chosen species to perform such non-clinical trial was the porcine one due to high anatomical and physiological similarities. After performing a pilot study using amoxicillin, 3 additional in vivo trials were scheduled using metofmin, levocetirizine and velnfaxine. The chosen medicines were in agreement with other tasks and work packages within the project.