cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3946360
title: Becoming LTi - Dataset : Single-cell RNA-seq of Embryo Fetal Liver tissue at stage 13.5 days

description: <strong>Dataset from article</strong> : Distinct waves from the hemogenic endothelium give rise to layered Lymphoid Tissue Inducer cell ontogeny <strong>Summary:</strong> During embryogenesis Lymphoid Tissue Inducer (LTi) cells are essential for lymph node organogenesis. These cells are part of the Innate Lymphoid Cell (ILC) family. Although their earliest embryonic hematopoietic origin is unclear, other innate immune cells were shown to be derived from both early hemogenic endothelium in the yolk-sac as well as the aorta-gonad-mesonephros. A proper model to discriminate between these locations was unavailable. In this study, using a new Cxcr4-CreERT2 lineage tracing model, we identify a major contribution from embryonic hemogenic endothelium, but not yolk-sac, towards the LTi progenitors. Conversely, embryonic LTi cells are replaced by hematopoietic stem cell derived cells in adult. We further show that within the fetal liver common lymphoid progenitors differentiate into highly dynamic alpha-lymphoid precursor cells, which at this embryonic stage preferentially mature into LTi precursors and establish their functional LTi cell identity only after reaching the periphery. <strong>Data </strong>: 1. SPlab_BecomingLTi_Stage13.5_FetalLiver_00_RawData : Single-cell RNA-seq data for Mouse Embryo Fetal Liver at stage 13.5. It contains the full output of CellRanger count (v3) analysis.
DOI: 10.5281/zenodo.3946154
title: BecomingLTi - Dataset : RNA-seq from Embryo Periphery and Fetal Liver at stage 13.5 and Single-cell RNA-seq for Embryo Periphery at stage 13.5 and 14.5

description: <strong>Dataset from article</strong> : Distinct waves from the hemogenic endothelium give rise to layered Lymphoid Tissue Inducer cell ontogeny <strong>Summary:</strong> During embryogenesis Lymphoid Tissue Inducer (LTi) cells are essential for lymph node organogenesis. These cells are part of the Innate Lymphoid Cell (ILC) family. Although their earliest embryonic hematopoietic origin is unclear, other innate immune cells were shown to be derived from both early hemogenic endothelium in the yolk-sac as well as the aorta-gonad-mesonephros. A proper model to discriminate between these locations was unavailable. In this study, using a new Cxcr4-CreERT2 lineage tracing model, we identify a major contribution from embryonic hemogenic endothelium, but not yolk-sac, towards the LTi progenitors. Conversely, embryonic LTi cells are replaced by hematopoietic stem cell derived cells in adult. We further show that within the fetal liver common lymphoid progenitors differentiate into highly dynamic alpha-lymphoid precursor cells, which at this embryonic stage preferentially mature into LTi precursors and establish their functional LTi cell identity only after reaching the periphery. <strong>Data </strong>: 1. SPlab_BecomingLTi_Bulk_Stage13.5_2tissues_00_RawData : Bulk RNA-seq data for Mouse Embryo Periphery and Fetal Liver at Stage 13.5. It contains matrix of gene expression counts for each sample in the dataset 2. SPlab_BecomingLTi_Stage13.5_Periphery_CellRangerV3_00_RawData : Single-cell RNA-seq data for Mouse Embryo Periphery at stage 13.5. It contains the full output of CellRanger count (v3) analysis. 3. SPlab_BecomingLTi_Stage14.5_Periphery_CellRangerV3_00_RawData : Single-cell RNA-seq data for Mouse Embryo Periphery at stage 14.5. It contains the full output of CellRanger count (v3) analysis.
DOI: 10.5281/zenodo.3946153
title: BecomingLTi - Dataset : RNA-seq from Embryo Periphery and Fetal Liver at stage 13.5 and Single-cell RNA-seq for Embryo Periphery at stage 13.5 and 14.5

description: <strong>Dataset from article</strong> : Distinct waves from the hemogenic endothelium give rise to layered Lymphoid Tissue Inducer cell ontogeny <strong>Summary:</strong> During embryogenesis Lymphoid Tissue Inducer (LTi) cells are essential for lymph node organogenesis. These cells are part of the Innate Lymphoid Cell (ILC) family. Although their earliest embryonic hematopoietic origin is unclear, other innate immune cells were shown to be derived from both early hemogenic endothelium in the yolk-sac as well as the aorta-gonad-mesonephros. A proper model to discriminate between these locations was unavailable. In this study, using a new Cxcr4-CreERT2 lineage tracing model, we identify a major contribution from embryonic hemogenic endothelium, but not yolk-sac, towards the LTi progenitors. Conversely, embryonic LTi cells are replaced by hematopoietic stem cell derived cells in adult. We further show that within the fetal liver common lymphoid progenitors differentiate into highly dynamic alpha-lymphoid precursor cells, which at this embryonic stage preferentially mature into LTi precursors and establish their functional LTi cell identity only after reaching the periphery. <strong>Data </strong>: 1. SPlab_BecomingLTi_Bulk_Stage13.5_2tissues_00_RawData : Bulk RNA-seq data for Mouse Embryo Periphery and Fetal Liver at Stage 13.5. It contains matrix of gene expression counts for each sample in the dataset 2. SPlab_BecomingLTi_Stage13.5_Periphery_CellRangerV3_00_RawData : Single-cell RNA-seq data for Mouse Embryo Periphery at stage 13.5. It contains the full output of CellRanger count (v3) analysis. 3. SPlab_BecomingLTi_Stage14.5_Periphery_CellRangerV3_00_RawData : Single-cell RNA-seq data for Mouse Embryo Periphery at stage 14.5. It contains the full output of CellRanger count (v3) analysis.
DOI: 10.5281/zenodo.3947814
title: Experimental dataset on seed retention rates in a vegetated cover

description: This repository presents a dataset collected during two experiments aiming at assessing seed retention rates in a vegetated cover located in an experimental channel. The seeds that were used are <em>Rumex crispus</em> seeds. Artificial plants used in the two experiments are <em>Isolepis</em> sp., <em>Buxus</em> sp., and <em>Thuya</em> sp. Experiment 1 provides the data for 2 panels filled with vegetation. Experiment 2 provides the data for X panels filled with vegetation (X comprised between 1 and 8). More information on the collected data are given in the files.
DOI: 10.5281/zenodo.3947813
title: Experimental dataset on seed retention rates in a vegetated cover

description: This repository presents a dataset collected during two experiments aiming at assessing seed retention rates in a vegetated cover located in an experimental channel. The seeds that were used are <em>Rumex crispus</em> seeds. Artificial plants used in the two experiments are <em>Isolepis</em> sp., <em>Buxus</em> sp., and <em>Thuya</em> sp. Experiment 1 provides the data for 2 panels filled with vegetation. Experiment 2 provides the data for X panels filled with vegetation (X comprised between 1 and 8). More information on the collected data are given in the files.
DOI: 10.17034/10897f0a-a552-4e16-b70f-3a58ba00c3af
title: The Origin and Evolution of Transneptunian Binaries: Excitation of Binary Orbit Eccentricity via the Kozai-Lidov Mechanism

description: This animation shows the evolution of the properties of binary planetesimals during a simulation of the outward migration of Neptune, as presented in the PhD thesis: "The Origin and Evolution of Transneptunian Binaries" by J. E. Robinson. The figure axes indicate the binary semimajor axis and eccentricity, while the colour scheme denotes the binary orbit inclination. During the simulation binaries above a critical separation (denoted by the red vertical line) undergo oscillations in eccentricity which allow them to evolve onto non-circular orbits (above the horizontal red line). These objects are experiencing binary orbit Kozai-Lidov oscillations; only binaries with inclinations sensitive to Kozai (40 &lt; i &lt; 140 degrees) display this behaviour.
DOI: 10.5281/zenodo.3947784
title: [BIOCOM-PIPE] Example and expected output files with an Illumina dataset

description: BIOCOM-PIPE: a new user-friendly metabarcoding pipeline for the characterization of microbial diversity from 16S, 18S and 23S rRNA gene amplicons <strong>Summary:</strong> This Zenodo repository encompasses the <em>d</em>emo input files and expected output files in the pipeline such that before directly applying it on large-scale datasets, a user can be assured that he/she has successfully implemented the pipeline. More precisely, we chose to use a recent dataset published (Sadet et al., 2018 – Applied Soil Ecology – DOI: 10.1016/j.apsoil.2018.02.006), with raw datasets areavailable in the EBI database system under project accession number PRJEB14258. We hope that these files will help users to efficiently test and checked the BIOCOM-PIPE pipeline. The deposited archive includes : - the Input.txt file with chosen parameters, - the project.csv file describing the composition of the library, - .fastq files from the EBI database system under project accession number PRJEB14258, - the expected result files and summary files after BIOCOM-PIPE analysis. <strong>Background:</strong> The ability to compare samples or studies easily using metabarcoding so as to better interpret microbial ecology results is an upcoming challenge. There exists a growing number of metabarcoding pipelines, each with its own benefits and limitations. However, very few have been developed to offer the opportunity to characterize various microbial communities (e.g., archaea, bacteria, fungi, photosynthetic microeukaryotes) with the same tool. <strong>Results:</strong> BIOCOM-PIPE is a flexible and independent suite of tools for processing data from high-throughput sequencing technologies, Roche 454 and Illumina platforms, and focused on the diversity of archaeal, bacterial, fungal, and photosynthetic microeukaryote amplicons. Various original methods were implemented in BIOCOM-PIPE to (i) remove chimeras based on read abundance, (ii) align sequences with structure-based alignments of RNA homologs using covariance models or a post-clustering tool (ReClustOR), and (iii) re-assign OTUs based on a reference OTU database. The comparison with two other pipelines (FROGS and mothur) highlighted that BIOCOM-PIPE was better at discriminating land use groups. <strong>Conclusions:</strong> The BIOCOM-PIPE pipeline makes it possible to analyze 16S/18S and 23S rRNA genes in the same package tool. This innovative approach defines a biological database from previously analyzed samples and performs post-clustering of reads with this reference database by using open-reference clustering. This makes it easier to compare projects from various sequencing runs. For advanced users, the pipeline was developed to allow for adding or modifying the components, the databases and the bioinformatics tools easily.
DOI: 10.5281/zenodo.3947783
title: [BIOCOM-PIPE] Example and expected output files with an Illumina dataset

description: BIOCOM-PIPE: a new user-friendly metabarcoding pipeline for the characterization of microbial diversity from 16S, 18S and 23S rRNA gene amplicons <strong>Summary:</strong> This Zenodo repository encompasses the <em>d</em>emo input files and expected output files in the pipeline such that before directly applying it on large-scale datasets, a user can be assured that he/she has successfully implemented the pipeline. More precisely, we chose to use a recent dataset published (Sadet et al., 2018 – Applied Soil Ecology – DOI: 10.1016/j.apsoil.2018.02.006), with raw datasets areavailable in the EBI database system under project accession number PRJEB14258. We hope that these files will help users to efficiently test and checked the BIOCOM-PIPE pipeline. The deposited archive includes : - the Input.txt file with chosen parameters, - the project.csv file describing the composition of the library, - .fastq files from the EBI database system under project accession number PRJEB14258, - the expected result files and summary files after BIOCOM-PIPE analysis. <strong>Background:</strong> The ability to compare samples or studies easily using metabarcoding so as to better interpret microbial ecology results is an upcoming challenge. There exists a growing number of metabarcoding pipelines, each with its own benefits and limitations. However, very few have been developed to offer the opportunity to characterize various microbial communities (e.g., archaea, bacteria, fungi, photosynthetic microeukaryotes) with the same tool. <strong>Results:</strong> BIOCOM-PIPE is a flexible and independent suite of tools for processing data from high-throughput sequencing technologies, Roche 454 and Illumina platforms, and focused on the diversity of archaeal, bacterial, fungal, and photosynthetic microeukaryote amplicons. Various original methods were implemented in BIOCOM-PIPE to (i) remove chimeras based on read abundance, (ii) align sequences with structure-based alignments of RNA homologs using covariance models or a post-clustering tool (ReClustOR), and (iii) re-assign OTUs based on a reference OTU database. The comparison with two other pipelines (FROGS and mothur) highlighted that BIOCOM-PIPE was better at discriminating land use groups. <strong>Conclusions:</strong> The BIOCOM-PIPE pipeline makes it possible to analyze 16S/18S and 23S rRNA genes in the same package tool. This innovative approach defines a biological database from previously analyzed samples and performs post-clustering of reads with this reference database by using open-reference clustering. This makes it easier to compare projects from various sequencing runs. For advanced users, the pipeline was developed to allow for adding or modifying the components, the databases and the bioinformatics tools easily.
DOI: 10.5281/zenodo.3946649
title: Data of the modelling results

description: Data record of the numerical modeling results
description: Cite as: Arens, Fee (2020): Data set of the modeling results. Zenodo, https://doi.org/ 10.5281/zenodo.3946649 Funding: F.A. is funded by the Natural Environment Research Council (NERC; NE/L002434/1), DEVORA and GNS.
DOI: 10.5281/zenodo.3946648
title: Data of the modelling results

description: Data record of the numerical modeling results
description: Cite as: Arens, Fee (2020): Data set of the modeling results. Zenodo, https://doi.org/ 10.5281/zenodo.3946649 Funding: F.A. is funded by the Natural Environment Research Council (NERC; NE/L002434/1), DEVORA and GNS.
DOI: 10.25403/upresearchdata.12529628
title: Spatial distribution of trypanosomiasis in Malawi between 2015-2016

description: This dataset used to determine molecular, sero-prevalence and the spatial distribution of trypanosomosis in Malawi. This dataset was also used to determine spatial pattern of the identified trypanosome species. Additionally, it was used for interpolation of risk Maps for each identified specie.
DOI: 10.25403/upresearchdata.12529628.v1
title: Spatial distribution of trypanosomiasis in Malawi between 2015-2016

description: This dataset used to determine molecular, sero-prevalence and the spatial distribution of trypanosomosis in Malawi. This dataset was also used to determine spatial pattern of the identified trypanosome species. Additionally, it was used for interpolation of risk Maps for each identified specie.
DOI: 10.21227/grq7-tp24
title: Deep facial features calculated from CelebA dataset with identity (201804 objects, 128 features, 10021 identities)

description: Deep facial features with identity generated from CelebA dataset using facenet network (128 real-valued features). Dataset contains: - full dataset- training dataset- validation datasetLink to CelebA dataset: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
DOI: 10.21227/fdzn-ed44
title: Deep facial features calculated from CelebA dataset with identity (201804 objects, 128 features, 10021 identities)

description: Deep facial features with identity generated from CelebA dataset using facenet network (128 real-valued features). Dataset contains: - full dataset- training dataset- validation datasetLink to CelebA dataset: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
DOI: 10.15161/oar.it/30562
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.21227/cd4b-nb07
title: MRLA search results and source code

description: The dataset includes both the software and the results for the calculation of large Minimum Redundancy Linear Arrays (MRLA, also known as sparse rulers).The software uses an exhausive search to find perfect and optimal sparse rulers. The results include all rulers up to 213 and the combination of length and marks of the rulers up to a length of 242.
DOI: 10.21227/s1a5-7p95
title: MRLA search results and source code

description: The dataset includes both the software and the results for the calculation of large Minimum Redundancy Linear Arrays (MRLA, also known as sparse rulers).The software uses an exhausive search to find perfect and optimal sparse rulers. The results include all rulers up to 213 and the combination of length and marks of the rulers up to a length of 242.
DOI: 10.5281/zenodo.3946582
title: K.107 Fragment of Práḥ Thãt Khnai Van : Transcription, translation and analysis

description: K.107 Fragment of Práḥ Thãt Khnai Van : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5281/zenodo.3946581
title: K.107 Fragment of Práḥ Thãt Khnai Van : Transcription, translation and analysis

description: K.107 Fragment of Práḥ Thãt Khnai Van : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.25550/1-sbpg
title: Generation and Sequence Confirmation of a Slc13a5 KO Mouse Model

description: A _Slc13a5_^Arg337*^ mouse model homologous to human _SLC13A5_ mutation (p.Arg333*) was generated in C57BL/6J background using CRISPR/Cas9. The coding exons and exon/intron borders of the F2 generation were confirmed by Sanger sequencing.
DOI: 10.5281/zenodo.3947928
title: Briefwechsel von Moritz Hauptmann und Franz Hauser

description: Metadaten des Briefwechsels zwischen Moritz Hauptmann und Franz Hauser
DOI: 10.5281/zenodo.3947927
title: Briefwechsel von Moritz Hauptmann und Franz Hauser

description: Metadaten des Briefwechsels zwischen Moritz Hauptmann und Franz Hauser
DOI: 10.21227/zaqp-9h68
title: MRLA search results and source code

description: The dataset includes both the software and the results for the calculation of large Minimum Redundancy Linear Arrays (MRLA, also known as sparse rulers).The software uses an exhausive search to find perfect and optimal sparse rulers. The results include all rulers up to 213 and the combination of length and marks of the rulers up to a length of 242.
DOI: 10.5281/zenodo.3900165
title: K.555 Stele of Aṅkor Bórĕi : Transcription, translation and analysis

description: K.555 Stele of Aṅkor Bórĕi : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5281/zenodo.3900164
title: K.555 Stele of Aṅkor Bórĕi : Transcription, translation and analysis

description: K.555 Stele of Aṅkor Bórĕi : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5281/zenodo.3895857
title: K.1 Stele of Vằt Thlĕṅ : Transcription, translation and analysis

description: K.1 Stele of Vằt Thlĕṅ : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5281/zenodo.3895856
title: K.1 Stele of Vằt Thlĕṅ : Transcription, translation and analysis

description: K.1 Stele of Vằt Thlĕṅ : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5281/zenodo.3910980
title: K.6 Piédroit of Pràsàt Prằṃ Lovêṅ : Transcription, translation and analysis

description: K.6 Piédroit of Pràsàt Prằṃ Lovêṅ : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5281/zenodo.3910979
title: K.6 Piédroit of Pràsàt Prằṃ Lovêṅ : Transcription, translation and analysis

description: K.6 Piédroit of Pràsàt Prằṃ Lovêṅ : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5281/zenodo.3898297
title: K.973 Bronze Mirror Inscription : Transcription, translation and analysis

description: K.973 Bronze Mirror Inscription : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5281/zenodo.3898296
title: K.973 Bronze Mirror Inscription : Transcription, translation and analysis

description: K.973 Bronze Mirror Inscription : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5281/zenodo.3925100
title: K.52 Stele of Vằt Krẵṅ Svày : Transcription, translation and analysis

description: K.52 Stele of Vằt Krẵṅ Svày : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5281/zenodo.3925099
title: K.52 Stele of Vằt Krẵṅ Svày : Transcription, translation and analysis

description: K.52 Stele of Vằt Krẵṅ Svày : Transcription, translation and analysis <br> Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.18112/openneuro.ds002837.v1.1.0
title: Naturalistic Neuroimaging Database
DOI: 10.5281/zenodo.3947951
title: Risk Reduction Measures Database (RRMD)

description: The Risk Reduction Measures Database (RRMD) is a tool to assist water supply risk managers in the<br> process of finding suitable measures for an appropriate risk treatment. The aim of the measures listed in the RRMD is the<br> reduction of risks that have been identified in the Risk Identification Database (RIDB).
DOI: 10.5281/zenodo.3947950
title: Risk Reduction Measures Database (RRMD)

description: The Risk Reduction Measures Database (RRMD) is a tool to assist water supply risk managers in the<br> process of finding suitable measures for an appropriate risk treatment. The aim of the measures listed in the RRMD is the<br> reduction of risks that have been identified in the Risk Identification Database (RIDB).
DOI: 10.18112/openneuro.ds003012.v1.0.1
title: action-in-auctions
DOI: 10.18112/openneuro.ds003012.v1.0.2
title: action-in-auctions
DOI: 10.5519/qd.749400g5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.8jv7hudq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (14 records)