cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10003640
title: orkg-R0: A Dataset of Structured Summaries for the R0 estimate of Infectious Diseases from Complex Scientific Abstracts

description: This dataset is a curated dataset obtained by filtering, cleaning and manually annotating the metadata file available at CORD_19 dataset (https://allenai.org/data/cord-19). It contains structured summaries for the R0 estimate of infectious diseases from scientific abstracts.


The main data directory contains two subdirectories, "raw" sub-folder where it holds the train, test, dev splits of the annotated data.


The "processed" subdirectory contains train, test, and dev JSON files filled in a sub-selection of "Templates for FLAN." prompts.


The sub-selection is :



	
Drop and Squad_v2 templates. template number 8 from Drop and template number 3 from Squad_v2 have been excluded among all splits.
	
Templates 9 and 10 from Drop have been just used in the training sets.



Two main dataset types are included in this repository: Text_based and Json_based.


The "dev_templated_files" subdirectory contains two subdirectories of "text" and "json".



	
The "text" sub-folder contains the raw "dev" split filled in all suitable templates for dev where the responses are in the defined structured text_based format.
	
The "json" sub-folder contains the raw "dev" split filled in all suitable templates for dev where the responses are in the defined structured json_based format.



The "test_templated_files" subdirectory contains two subdirectories of "text" and "json".



	
The "text" sub-folder contains the raw "test" split filled in all suitable templates for dev where the responses are in the defined structured text_based format.
	
The "json" sub-folder contains the raw "test" split filled in all suitable templates for dev where the responses are in the defined structured json_based format.



The "train_templated_files" Subdirectory contains subdirectories each representing a train dataset obtained using the specific templates.



	
it contains 20 different train sets each having 2 json_based and text_based versions, resulting in 40 different training sets.
DOI: 10.5281/zenodo.8068441
title: orkg-R0: A Dataset of Structured Summaries for the R0 estimate of Infectious Diseases from Complex Scientific Abstracts

description: This dataset is a curated dataset obtained by filtering, cleaning and manually annotating the metadata file available at CORD_19 dataset (https://allenai.org/data/cord-19). It contains structured summaries for the R0 estimate of infectious diseases from scientific abstracts.


The main data directory contains two subdirectories, "raw" sub-folder where it holds the train, test, dev splits of the annotated data.


The "processed" subdirectory contains train, test, and dev JSON files filled in a sub-selection of "Templates for FLAN." prompts.


The sub-selection is :



	
Drop and Squad_v2 templates. template number 8 from Drop and template number 3 from Squad_v2 have been excluded among all splits.
	
Templates 9 and 10 from Drop have been just used in the training sets.



Two main dataset types are included in this repository: Text_based and Json_based.


The "dev_templated_files" subdirectory contains two subdirectories of "text" and "json".



	
The "text" sub-folder contains the raw "dev" split filled in all suitable templates for dev where the responses are in the defined structured text_based format.
	
The "json" sub-folder contains the raw "dev" split filled in all suitable templates for dev where the responses are in the defined structured json_based format.



The "test_templated_files" subdirectory contains two subdirectories of "text" and "json".



	
The "text" sub-folder contains the raw "test" split filled in all suitable templates for dev where the responses are in the defined structured text_based format.
	
The "json" sub-folder contains the raw "test" split filled in all suitable templates for dev where the responses are in the defined structured json_based format.



The "train_templated_files" Subdirectory contains subdirectories each representing a train dataset obtained using the specific templates.



	
it contains 20 different train sets each having 2 json_based and text_based versions, resulting in 40 different training sets.
DOI: 10.5281/zenodo.8068442
title: orkg-R0: A Dataset of Structured Summaries for the R0 estimate of Infectious Diseases from Complex Scientific Abstracts

description: This dataset is a curated dataset obtained by filtering, cleaning and manually annotating the metadata file available at CORD_19 dataset (https://allenai.org/data/cord-19). It contains structured summaries for the R0 estimate of infectious diseases from scientific abstracts. The main data directory contains two subdirectories, "raw" sub-folder where it holds the train, test, dev splits of the annotated data. The "processed" subdirectory contains train, test, and dev JSON files filled in a sub-selection of "Templates for FLAN." prompts. The sub-selection is : Drop and Squad_v2 templates. template number 8 from Drop and template number 3 from Squad_v2 have been excluded among all splits. Templates 9 and 10 from Drop have been just used in the training sets. Two main dataset types are included in this repository: Text_based and Json_based. The "dev_templated_files" subdirectory contains two subdirectories of "text" and "json". The "text" sub-folder contains the raw "dev" split filled in all suitable templates for dev where the responses are in the defined structured text_based format. The "json" sub-folder contains the raw "dev" split filled in all suitable templates for dev where the responses are in the defined structured json_based format. The "test_templated_files" subdirectory contains two subdirectories of "text" and "json". The "text" sub-folder contains the raw "test" split filled in all suitable templates for dev where the responses are in the defined structured text_based format. The "json" sub-folder contains the raw "test" split filled in all suitable templates for dev where the responses are in the defined structured json_based format. The "train_templated_files" Subdirectory contains subdirectories each representing a train dataset obtained using the specific templates. it contains 20 different train sets each having 2 json_based and text_based versions, resulting in 40 different training sets.
DOI: 10.13143/inserm_gazel
title: Cohorte Gazel

description: Un « Laboratoire épidémiologique ouvert ».

L’épidémiologie est la discipline scientifique qui s’intéresse à la santé des populations. Elle seule permet de connaître la fréquence des problèmes de santé, leur répartition selon des critères divers (âge, sexe, catégorie socioprofessionnelle, région, etc.) et leur évolution dans le temps. L’épidémiologie permet aussi de comprendre les déterminants des états de santé et des maladies. Les enquêtes de cohorte (ensemble de personnes suivies dans le temps) en sont l’un des outils privilégiés.

La cohorte Gazel a été mise en place en 1989 par l’Unité 88 (devenue Unité 687, puis Unité 1018, puis UMS 11) de l’Inserm, en coopération avec plusieurs services d’EDF-GDF. Grâce à la participation exemplaire des 20 000 volontaires d’Electricité de France et de Gaz de France qui la composent, et au soutien de ses partenaires, cette cohorte constitue un important « Laboratoire épidémiologique ouvert ». Depuis 2018, la collecte d’information auprès des volontaires de Gazel a été harmonisée avec celle de la cohorte Constances (https://www.constances.fr/) qui a été mise en place également par l’UMS 11, et les questionnaires sont maintenant identiques dans les deux cohortes.

A l’instar de grands instruments scientifiques (tels que les télescopes en astronomie ou les séquenceurs d’ADN en biologie moléculaire), la cohorte Gazel a été conçue pour aider à analyser une large gamme de problèmes scientifiques, et être accessible à la communauté des chercheurs spécialisés.

À ce jour, plus de 80 projets de recherche, toujours en cours ou achevés, ont été mis en place par des équipes de recherche nationales et internationales, sur des thèmes très diversifiés, dont certains dans le cadre de consortiums internationaux de cohortes auxquels participe Gazel. De nombreuses publications scientifiques, dans les meilleurs journaux d’épidémiologie et de diverses spécialités médicales, sont issues de ces travaux
DOI: 10.6084/m9.figshare.25060154
title: Mangrove fungal community

description: Mangrove fungal community
DOI: 10.6084/m9.figshare.25060154.v1
title: Mangrove fungal community

description: Mangrove fungal community
DOI: 10.5281/zenodo.10565404
title: Out of Style: Misadventures with LLMs and Code Style Transfer

description: CSB: A Dataset and Benchmark for Code Style Transfer Tasks
DOI: 10.5281/zenodo.7352403
title: Out of Style: Misadventures with LLMs and Code Style Transfer

description: CSB: A Dataset and Benchmark for Code Style Transfer Tasks
DOI: 10.5281/zenodo.7352404
title: CSB: A Dataset and Benchmark for Code Style Transfer Tasks

description: CSB: A Dataset and Benchmark for Code Style Transfer Tasks
DOI: 10.5281/zenodo.7829238
title: CSB: A Dataset and Benchmark for Code Style Transfer Tasks

description: CSB: A Dataset and Benchmark for Code Style Transfer Tasks
DOI: 10.5281/zenodo.8021947
title: CSB: A Dataset and Benchmark for Code Style Transfer Tasks

description: CSB: A Dataset and Benchmark for Code Style Transfer Tasks
DOI: 10.5281/zenodo.8037487
title: CSB: A Dataset and Benchmark for Code Style Transfer Tasks

description: CSB: A Dataset and Benchmark for Code Style Transfer Tasks
DOI: 10.5281/zenodo.10566093
title: #269 Source Code

description: The source code and sample AWS logs for paper 269
DOI: 10.5281/zenodo.10566094
title: #269 Source Code

description: The source code and sample AWS logs for paper 269
DOI: 10.18465/ce80fc2a-9bb1-4126-bf17-68769ac685c5
title: MNS Luzéronde 2016

description: Modèle Numérique de Surface obtenu par LiDAR sur la côte vendéenne au niveau de Luzéronde
DOI: 10.5281/zenodo.10559455
title: Exploratory trajectory inference reveals convergent lineages for CD8 T cells in chronic LCMV infection

description: In chronic infections, CD8 T cells acquire a state termed exhaustion characterized by impaired effector functions and expression of co-inhibitory receptors in response to continuous TCR stimulation. The pool of exhausted T cells has been shown to harbor multiple functionally distinct populations with memory-like and effector-like features, though differentiation and lineage relations between these remain unclear. Here, we present a high-resolution scRNAseq time-series analysis from the beginning of infection to established exhaustion in CD8 T cells together with a novel exploratory trajectory inference approach to discover unusual differentiation trajectories. Specifically, we used simulation-based trajectory inference to identify start and end states and connections between them. We identified a branch region early during chronic infection where cells separate into an exhausted and a memory-like lineage. Adoptive transfer confirmed fate predictions for exhaustion. However, these experiments indicated that CD8 T cells with predicted memory-like fate differentiated into both memory-like and exhaustion states. We developed an approach for exploratory trajectory inference based on unsupervised analysis of simulated Markov chains to identify novel differentiation trajectories explaining this behavior. It allowed us to identify a convergent differentiation trajectory traversing memory-like states and ending in the exhausted population, corroborating the results from the adoptive transfer experiment and complementing details on intermediate states of the full differentiation trajectory. In this work, exploratory trajectory inference enabled the detection of convergent differentiation trajectories during chronic LCMV infection. We expect it to be applicable in other scRNAseq-based studies aiming at comprehensive characterization of differentiation trajectories with bifurcating and convergent topologies.
DOI: 10.5281/zenodo.10559456
title: Exploratory trajectory inference reveals convergent lineages for CD8 T cells in chronic LCMV infection

description: In chronic infections, CD8 T cells acquire a state termed exhaustion characterized by impaired effector functions and expression of co-inhibitory receptors in response to continuous TCR stimulation. The pool of exhausted T cells has been shown to harbor multiple functionally distinct populations with memory-like and effector-like features, though differentiation and lineage relations between these remain unclear. Here, we present a high-resolution scRNAseq time-series analysis from the beginning of infection to established exhaustion in CD8 T cells together with a novel exploratory trajectory inference approach to discover unusual differentiation trajectories. Specifically, we used simulation-based trajectory inference to identify start and end states and connections between them. We identified a branch region early during chronic infection where cells separate into an exhausted and a memory-like lineage. Adoptive transfer confirmed fate predictions for exhaustion. However, these experiments indicated that CD8 T cells with predicted memory-like fate differentiated into both memory-like and exhaustion states. We developed an approach for exploratory trajectory inference based on unsupervised analysis of simulated Markov chains to identify novel differentiation trajectories explaining this behavior. It allowed us to identify a convergent differentiation trajectory traversing memory-like states and ending in the exhausted population, corroborating the results from the adoptive transfer experiment and complementing details on intermediate states of the full differentiation trajectory. In this work, exploratory trajectory inference enabled the detection of convergent differentiation trajectories during chronic LCMV infection. We expect it to be applicable in other scRNAseq-based studies aiming at comprehensive characterization of differentiation trajectories with bifurcating and convergent topologies.
DOI: 10.18465/df1ebd1d-c3b9-4d82-9bdc-1cbbf1cf02ff
title: MNT Luzéronde 2016

description: Modèle Numérique de Terrain obtenu par LiDAR sur la côte vendéenne au niveau de Luzéronde
DOI: 10.17895/ices.data.19863214.v1
title: Audit of the use of productivity trends in fisheries advice

description: In many cases ICES incorporates ecosystem trends and variability into the fishing opportunities advice. However, there is no system to document when and how this is done. This results in the inclusion and incorporation of ecosystem trends and variability being generally invisible to the network and the outside community. From 2019 to 2022, ACOM worked with the expert groups that feed into fishing opportunities advice to audit the use of ecosystem trends and variability into the fishing opportunities advice. A questionnaire was used as the main tool. In 2020, each stock assessment working group was asked to record the ways in which ecosystem trends and variability are accounted for in each stock assessment, forecast, mixed fishery or management plan evaluation. This included considerations for short lived and data limited stocks. This is the data set that resulted from the questionnaire.
DOI: 10.25345/c5r20s70p
title: MassIVE MSV000093919 - Variation of terpene alkaloids in Daphniphyllum macropodum across plants and tissues
title: Daphniphyllum macropodum produces alkaloids that are structurally complex with polycyclic, stereochemically rich carbon skeletons. Understanding these compounds are formed by the plant may enable exploration of their biological function and bioactivities.We employed multiple metabolomics techniques, including a workflow to annotate compounds in the absence of standards, to compare alkaloid content across plants and tissues. Different alkaloid structural types were found to have distinct distributions between genotypes, between tissues and within tissues. Alkaloid structural types also showed different isotope labelling enrichments that matched their biosynthetic relationships. The work suggests that mevalonate derived 30-carbon alkaloids are formed in the phloem region prior to their conversion to 22-carbon alkaloids which accumulate in the epidermis, and sets the stage for further investigation into the biosynthetic pathway.
DOI: 10.57967/hf/1678
title: frwiki_good_pages_el
DOI: 10.5517/ccdc.csd.cc2hcr1p
title: CCDC 2305192: Experimental Crystal Structure Determination

description: Related Article: Atheer M. Madlool, Ahmed Alwaaly, Casey M. Dixon, Paul G. Waddell, William Clegg, Michael R. Probert, Ross W. Harrington, Keith Izod|2024|Organometallics|43|164|doi:10.1021/acs.organomet.3c00468
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.cc2hcr2q
title: CCDC 2305193: Experimental Crystal Structure Determination

description: Related Article: Atheer M. Madlool, Ahmed Alwaaly, Casey M. Dixon, Paul G. Waddell, William Clegg, Michael R. Probert, Ross W. Harrington, Keith Izod|2024|Organometallics|43|164|doi:10.1021/acs.organomet.3c00468
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.cc2hcr3r
title: CCDC 2305194: Experimental Crystal Structure Determination

description: Related Article: Atheer M. Madlool, Ahmed Alwaaly, Casey M. Dixon, Paul G. Waddell, William Clegg, Michael R. Probert, Ross W. Harrington, Keith Izod|2024|Organometallics|43|164|doi:10.1021/acs.organomet.3c00468
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.cc2hcr4s
title: CCDC 2305195: Experimental Crystal Structure Determination

description: Related Article: Atheer M. Madlool, Ahmed Alwaaly, Casey M. Dixon, Paul G. Waddell, William Clegg, Michael R. Probert, Ross W. Harrington, Keith Izod|2024|Organometallics|43|164|doi:10.1021/acs.organomet.3c00468
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.cc2hcr5t
title: CCDC 2305196: Experimental Crystal Structure Determination

description: Related Article: Atheer M. Madlool, Ahmed Alwaaly, Casey M. Dixon, Paul G. Waddell, William Clegg, Michael R. Probert, Ross W. Harrington, Keith Izod|2024|Organometallics|43|164|doi:10.1021/acs.organomet.3c00468
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.cc2hcr6v
title: CCDC 2305197: Experimental Crystal Structure Determination

description: Related Article: Atheer M. Madlool, Ahmed Alwaaly, Casey M. Dixon, Paul G. Waddell, William Clegg, Michael R. Probert, Ross W. Harrington, Keith Izod|2024|Organometallics|43|164|doi:10.1021/acs.organomet.3c00468
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.cc2hcr7w
title: CCDC 2305198: Experimental Crystal Structure Determination

description: Related Article: Atheer M. Madlool, Ahmed Alwaaly, Casey M. Dixon, Paul G. Waddell, William Clegg, Michael R. Probert, Ross W. Harrington, Keith Izod|2024|Organometallics|43|164|doi:10.1021/acs.organomet.3c00468
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.cc2hcr8x
title: CCDC 2305199: Experimental Crystal Structure Determination

description: Related Article: Atheer M. Madlool, Ahmed Alwaaly, Casey M. Dixon, Paul G. Waddell, William Clegg, Michael R. Probert, Ross W. Harrington, Keith Izod|2024|Organometallics|43|164|doi:10.1021/acs.organomet.3c00468
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.cc2hcr9y
title: CCDC 2305200: Experimental Crystal Structure Determination

description: Related Article: Atheer M. Madlool, Ahmed Alwaaly, Casey M. Dixon, Paul G. Waddell, William Clegg, Michael R. Probert, Ross W. Harrington, Keith Izod|2024|Organometallics|43|164|doi:10.1021/acs.organomet.3c00468
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.