cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7933393
title: Pangenomes of multiple species for the "Building pangenome graphs" publication

description: Pangenomes of multiple species for the PGGB paper. Each pangenome is represented in a FASTA format file. Each FASTA file is compressed with bgzip so that it can be indexed and directly input to PGGB. The name of each file specifies: the species; the number of haplotypes; the chromosome. All sequence names follow the PanSN specification. In addition, a pangenome graph of the primate chromosome 6 is provided, compressed with zstd.
DOI: 10.5281/zenodo.7937947
title: Pangenomes of multiple species for the "Building pangenome graphs" publication

description: Pangenomes of multiple species for the PGGB paper. Each pangenome is represented in a FASTA format file. Each FASTA file is compressed with bgzip so that it can be indexed and directly input to PGGB. The name of each file specifies: the species; the number of haplotypes; the chromosome. All sequence names follow the PanSN specification. In addition, pangenome graphs (compressed with zstd) are provided for: - the primate chromosome 6; - the E. coli pangenome with 50 haplotypes.
DOI: 10.6084/m9.figshare.22362999
title: The first genomic resource for the ‘near threatened’ Neotropical otter <i>Lontra longicaudis</i> (Carnivora: Mustelidae): mitochondrial genome characterisation and insights into phylomitogenomic relationships in the family Mustelidae

description: The Neotropical otter <i>Lontra longicaudis</i> is a top predator in aquatic ecosystems from North, Central, and South America and is subjected to substantial environmental distress due to historic and contemporary anthropogenic disturbance. Currently, <i>L. longicaudis</i> is considered ‘near threatened’ by the International Union for Conservation of Nature Red List of Threatened Species. This study renders the first genomic resource for <i>L. longicaudis</i>; its mitochondrial genome was assembled and characterised in detail. The AT-rich mitochondrial genome of <i>L. longicaudis</i> was 16,436 bp in length and encoded 13 protein coding genes (PCGs), 22 transfer RNA genes, two ribosomal RNA genes, and a 994 bp long putative control region (CR). The heavy use of CTA (Leu), ATA (Met), and ATC (Ile) codons in PCGs contributes to the AT-rich nature of this genome. Out of 22 tRNAs, tRNA-Ser (AGY) (trnS1) lacked a typical ‘cloverleaf’ secondary structure. In the CR, numerous microsatellites and two tandem repeats were detected as well as multiple ‘hairpin’ structures. Ka/Ks values estimated for all but one PCG were &lt; 1, indicating purifying selection in most PCGs. <i>atp8</i> experienced neutral selection. A phylogenomic analysis based on PCGs confirms the monophyly of the family Mustelidae and also supports the monophyletic status of the subfamilies Guloinae, Helictidinae, Melinae, Mustelinae and Lutrinae; Ictonychinae was found to be polyphyletic. In the Lutrinae, <i>L. longicaudis</i> had an early branching position. The characterisation of a complete mitochondrial genome in the Neotropical otter <i>L. longicaudis</i> constitutes the first step towards supporting conservation efforts using genomic tools in this and other mustelids inhabiting aquatic neotropical environments under considerable contemporary anthropogenic disturbance.
DOI: 10.6084/m9.figshare.22362999.v1
title: The first genomic resource for the ‘near threatened’ Neotropical otter <i>Lontra longicaudis</i> (Carnivora: Mustelidae): mitochondrial genome characterisation and insights into phylomitogenomic relationships in the family Mustelidae

description: The Neotropical otter <i>Lontra longicaudis</i> is a top predator in aquatic ecosystems from North, Central, and South America and is subjected to substantial environmental distress due to historic and contemporary anthropogenic disturbance. Currently, <i>L. longicaudis</i> is considered ‘near threatened’ by the International Union for Conservation of Nature Red List of Threatened Species. This study renders the first genomic resource for <i>L. longicaudis</i>; its mitochondrial genome was assembled and characterised in detail. The AT-rich mitochondrial genome of <i>L. longicaudis</i> was 16,436 bp in length and encoded 13 protein coding genes (PCGs), 22 transfer RNA genes, two ribosomal RNA genes, and a 994 bp long putative control region (CR). The heavy use of CTA (Leu), ATA (Met), and ATC (Ile) codons in PCGs contributes to the AT-rich nature of this genome. Out of 22 tRNAs, tRNA-Ser (AGY) (trnS1) lacked a typical ‘cloverleaf’ secondary structure. In the CR, numerous microsatellites and two tandem repeats were detected as well as multiple ‘hairpin’ structures. Ka/Ks values estimated for all but one PCG were &lt; 1, indicating purifying selection in most PCGs. <i>atp8</i> experienced neutral selection. A phylogenomic analysis based on PCGs confirms the monophyly of the family Mustelidae and also supports the monophyletic status of the subfamilies Guloinae, Helictidinae, Melinae, Mustelinae and Lutrinae; Ictonychinae was found to be polyphyletic. In the Lutrinae, <i>L. longicaudis</i> had an early branching position. The characterisation of a complete mitochondrial genome in the Neotropical otter <i>L. longicaudis</i> constitutes the first step towards supporting conservation efforts using genomic tools in this and other mustelids inhabiting aquatic neotropical environments under considerable contemporary anthropogenic disturbance.
DOI: 10.5517/ccdc.csd.cc1j3w8s
title: CCDC 1403905: Experimental Crystal Structure Determination

description: Related Article: Khaireddine Ezzayani|2022|CSD Communication|||
description: Related Article: Khaireddine Ezzayani, Amal N. Alanazi, Arbia Ben Khelifa, Anissa Mansour, Rim Alanazi, Ishraga Eltoom Abdalla Hussein, Khaoula Hajlaoui, Magdah Abdelbasit Nory Salih|2023|J.Mol.Struct.|1287|135702|doi:10.1016/j.molstruc.2023.135702
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.cc28s84h
title: CCDC 2108686: Experimental Crystal Structure Determination

description: Related Article: Prem Kumar Kushwaha, Kumar Saurabh Srivastava, Neha Kumari, Rajan Kumar, Debashis Mitra, Ashoke Sharon|2022|Bioorg.Med.Chem.|56|116612|doi:10.1016/j.bmc.2022.116612
description: Related Article: Neha Kumari, Ashoke Sharon|2023|J.Mol.Struct.|1287|135734|doi:10.1016/j.molstruc.2023.135734
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: 10.48667/27b4-0609
title: The Optical Constants database (OCdb)

description: Optical constants are the real and imaginary parts of the complex refractive index, n + ik, of a material, which describe how a material interacts with incident light (transmission, reflection, refraction, absorption, scattering). Optical constants are fundamental input parameters for models used to interpret observational data.
The Optical Constants database (OCdb) provides published, peer-reviewed optical constants of organic refractory materials and ices relevant to planetary and astrophysical environments. The goal of the Optical Constants database is to centralize published optical constants data to facilitate access to the community. We therefore encourage laboratories generating optical constants to contribute their data in order to increase their visibility and availability.
DOI: 10.5281/zenodo.7937730
title: Modelling Transport in Northern Italy During the Roman Period

description: This repository contains the vector shapefiles and steps used in creating a route network model of Roman transport infrastructure in Northern Italy during the Imperial period.
DOI: 10.5281/zenodo.7937731
title: Modelling Transport in Northern Italy During the Roman Period

description: This repository contains the vector shapefiles and steps used in creating a route network model of Roman transport infrastructure in Northern Italy during the Imperial period.
DOI: 10.6084/m9.figshare.22822412
title: Just dance shorten data

description: <em>Dataset containing comments and metadata information for multilabel predictions for different properties of comments.</em><br> <br> <em>The data has 216193 comments make on the just dance YouTube videos. It has metadata information about the date the</em><br> <em>comment was written and the number of "likes" it got. It also has</em><br> <em>42 multilabel binary target label columns,</em><br> <em>referring to the category classification of the comment.</em><br> <br> <em>This dataset is a modification of Just Dance @ YouTube dataset curated by the COIMBRA university,</em><br> <em>For additional details about the dataset, please refer to the original source:</em><br> <em>https://www.kaggle.com/datasets/renatojmsantos/just-dance-on-youtube.</em><br> <em>Dataset used under the following license: https://creativecommons.org/licenses/by/4.0/</em><br> <br> <em>Original publication:</em><br> <em>R. Santos, J. P. Arrais and P. A. Silva, "Analysing Games for Health through Users' Opinion Mining,"</em><br> <em>2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), Aveiro, Portugal, 2021, pp. 319-323,</em><br> <em>doi: 10.1109/CBMS52027.2021.00035.</em>
DOI: 10.6084/m9.figshare.22822412.v1
title: Just dance shorten data

description: <em>Dataset containing comments and metadata information for multilabel predictions for different properties of comments.</em><br> <br> <em>The data has 216193 comments make on the just dance YouTube videos. It has metadata information about the date the</em><br> <em>comment was written and the number of "likes" it got. It also has</em><br> <em>42 multilabel binary target label columns,</em><br> <em>referring to the category classification of the comment.</em><br> <br> <em>This dataset is a modification of Just Dance @ YouTube dataset curated by the COIMBRA university,</em><br> <em>For additional details about the dataset, please refer to the original source:</em><br> <em>https://www.kaggle.com/datasets/renatojmsantos/just-dance-on-youtube.</em><br> <em>Dataset used under the following license: https://creativecommons.org/licenses/by/4.0/</em><br> <br> <em>Original publication:</em><br> <em>R. Santos, J. P. Arrais and P. A. Silva, "Analysing Games for Health through Users' Opinion Mining,"</em><br> <em>2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), Aveiro, Portugal, 2021, pp. 319-323,</em><br> <em>doi: 10.1109/CBMS52027.2021.00035.</em>
DOI: 10.25545/xr28qo
title: A qualitative study on challenges faced in multithreading in Julia

description: This study uses posts from two different platforms Stack Overflow and Julia Discourse. The posts are categorized in different tags and are analyzed using inductive content analysis.
DOI: 10.6084/m9.figshare.22822457
title: just dance shorthed embeddings (open ai)

description: <em>Dataset containing comments and metadata information for multilabel predictions for different properties of comments.</em><br> <br> <em>The data has 216193 comments make on the just dance YouTube videos. It has metadata information about the date the</em><br> <em>comment was written and the number of "likes" it got. It also has</em><br> <em>42 multilabel binary target label columns,</em><br> <em>referring to the category classification of the comment.</em><br> <br> <em>This dataset is a modification of Just Dance @ YouTube dataset curated by the COIMBRA university,</em><br> <em>For additional details about the dataset, please refer to the original source:</em><br> <em>https://www.kaggle.com/datasets/renatojmsantos/just-dance-on-youtube.</em><br> <em>Dataset used under the following license: https://creativecommons.org/licenses/by/4.0/</em><br> <br> <em>Original publication:</em><br> <em>R. Santos, J. P. Arrais and P. A. Silva, "Analysing Games for Health through Users' Opinion Mining,"</em><br> <em>2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), Aveiro, Portugal, 2021, pp. 319-323,</em><br> <em>doi: 10.1109/CBMS52027.2021.00035.</em>
DOI: 10.5281/zenodo.7937444
title: Alexandria - People and Water dataset

description: This dataset is a compilation of labeled data originating from Sentinel 1, Sentinel 2, and the Copernicus Digital Elevation Model (DEM). It offers a rich and comprehensive resource for those interested in geospatial analysis and remote sensing of the region incorporating Alexandria and several other notable locations in Egypt, Gaza, and Israel. The dataset includes three distinct files and a directory, each containing specific data: <code>S1.tif</code>: This file houses Sentinel 1 data specifically curated for Alexandria. The data is presented in two bands; Band 1 displays VV polarization while Band 2 displays VH polarization, both expressed in decibels (dB). <code>S2.tif</code>: This file is contains Sentinel 2 data, again focusing on Alexandria. It comprises nine bands, namely B02, B03, B04, B05, B06, B07, B08, B11, and B12. It's noteworthy to mention that band B8A is not included in this collection. <code>DEM_Orientation.tif</code>: This file contains the Copernicus DEM data for Alexandria. It incorporates four bands: Band 1 and 2 encode the aspect in sine and cosine respectively, Band 3 depicts the slope ranging from 0 to 1, and Band 4 represents height, which is normalized to the elevation of Mount Everest. The accompanying directory is an exhaustive collection of 78 geospatial patches derived from various locations across Egypt, Gaza, and Israel. Each patch includes its own set of <code>DEM_Orientation</code>, <code>S1</code>, <code>S2</code>, and a unique label. These labels denote the amount of square meters of built-up area present in each 10x10m pixel, effectively representing built-up area coverage as a percentage. This crucial detail enables a deeper understanding of urbanization patterns and building densities across these regions.
DOI: 10.5281/zenodo.7937443
title: Alexandria - People and Water dataset

description: This dataset is a compilation of labeled data originating from Sentinel 1, Sentinel 2, and the Copernicus Digital Elevation Model (DEM). It offers a rich and comprehensive resource for those interested in geospatial analysis and remote sensing of the region incorporating Alexandria and several other notable locations in Egypt, Gaza, and Israel. The dataset includes three distinct files and a directory, each containing specific data: <code>S1.tif</code>: This file houses Sentinel 1 data specifically curated for Alexandria. The data is presented in two bands; Band 1 displays VV polarization while Band 2 displays VH polarization, both expressed in decibels (dB). <code>S2.tif</code>: This file is contains Sentinel 2 data, again focusing on Alexandria. It comprises nine bands, namely B02, B03, B04, B05, B06, B07, B08, B11, and B12. It's noteworthy to mention that band B8A is not included in this collection. <code>DEM_Orientation.tif</code>: This file contains the Copernicus DEM data for Alexandria. It incorporates four bands: Band 1 and 2 encode the aspect in sine and cosine respectively, Band 3 depicts the slope ranging from 0 to 1, and Band 4 represents height, which is normalized to the elevation of Mount Everest. The accompanying directory is an exhaustive collection of 78 geospatial patches derived from various locations across Egypt, Gaza, and Israel. Each patch includes its own set of <code>DEM_Orientation</code>, <code>S1</code>, <code>S2</code>, and a unique label. These labels denote the amount of square meters of built-up area present in each 10x10m pixel, effectively representing built-up area coverage as a percentage. This crucial detail enables a deeper understanding of urbanization patterns and building densities across these regions.
DOI: 10.6084/m9.figshare.22822415
title: A novel approach for predicting Lockout/Tagout safety procedures for smart maintenance strategies: dataset

description: The data are in Pickle format. Pickle in Python is primarily used in serializing and deserializing a Python object structure. In other words, it's the process of converting a Python object into a byte stream to store it in a file/database, maintain program state across sessions, or transport data over the network. These tables provide the names of the machines and the devices to be locked to secure them. <br> "industry"_name associates each sheet with its name. Each row corresponds to the ID of the Lockout/Tagout (LOTO) cards. The columns consist of the dictionary of machine names. LOTO sheets for different industrial sectors are proposed. The type of "industry" is specified in the title of each dataset. <br> "industry"_device associates each sheet with the types and numbers of devices to be locked. Each line corresponds to the ID of the Lockout/Tagout (LOTO) cards. The columns consist of the list of devices. The "industry"_name and "industry"_device lines refer to the same LOTO sheet. <br> The authors are available for further questions if needed.
DOI: 10.6084/m9.figshare.22822415.v1
title: A novel approach for predicting Lockout/Tagout safety procedures for smart maintenance strategies: dataset

description: The data are in Pickle format. Pickle in Python is primarily used in serializing and deserializing a Python object structure. In other words, it's the process of converting a Python object into a byte stream to store it in a file/database, maintain program state across sessions, or transport data over the network. These tables provide the names of the machines and the devices to be locked to secure them. <br> "industry"_name associates each sheet with its name. Each row corresponds to the ID of the Lockout/Tagout (LOTO) cards. The columns consist of the dictionary of machine names. LOTO sheets for different industrial sectors are proposed. The type of "industry" is specified in the title of each dataset. <br> "industry"_device associates each sheet with the types and numbers of devices to be locked. Each line corresponds to the ID of the Lockout/Tagout (LOTO) cards. The columns consist of the list of devices. The "industry"_name and "industry"_device lines refer to the same LOTO sheet. <br> The authors are available for further questions if needed.
DOI: 10.17870/bathspa.14267966
title: Rethinking Waste - Waste Work Book (2021) - Chapter 2

description: The <em>Rethinking Waste</em> project, funded by the UK’s Global Challenges Research Fund, confronts the question of waste and disposability through the introduction of an experimental design and learning space, Compound 13 Lab. At the Lab, young people are placed at the centre of their own learning, to co-design and develop a bespoke ‘living curriculum’ that responds to their issues, addresses their needs and aids their future goals. The implementation of the Lab is intended to create a space of enquiry where these local knowledges and practices can be communicated within and beyond Dharavi, through a process of increasingly self-organised making and learning. This item contains an Accepted Manuscript of a book chapter to be published in the book <em>Waste Work: the art of survival in Dharavi.</em> <strong>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law.</strong>
DOI: 10.17870/bathspa.14267966.v2
title: Rethinking Waste - Waste Work Book (2021) - Chapter 2

description: The <em>Rethinking Waste</em> project, funded by the UK’s Global Challenges Research Fund, confronts the question of waste and disposability through the introduction of an experimental design and learning space, Compound 13 Lab. At the Lab, young people are placed at the centre of their own learning, to co-design and develop a bespoke ‘living curriculum’ that responds to their issues, addresses their needs and aids their future goals. The implementation of the Lab is intended to create a space of enquiry where these local knowledges and practices can be communicated within and beyond Dharavi, through a process of increasingly self-organised making and learning. This item contains an Accepted Manuscript of a book chapter to be published in the book <em>Waste Work: the art of survival in Dharavi.</em> <strong>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law.</strong>
DOI: 10.17870/bathspa.14267966.v1
title: Rethinking Waste - Waste Work Book (2021) - Chapter 2 (Contextualising Information)

description: The <i>Rethinking Waste</i> project, funded by the UK’s Global Challenges Research Fund, confronts the question of waste and disposability through the introduction of an experimental design and learning space, Compound 13 Lab. At the Lab, young people are placed at the centre of their own learning, to co-design and develop a bespoke ‘living curriculum’ that responds to their issues, addresses their needs and aids their future goals. The implementation of the Lab is intended to create a space of enquiry where these local knowledges and practices can be communicated within and beyond Dharavi, through a process of increasingly self-organised making and learning.This item contains an Accepted Manuscript of a book chapter published in <i>Waste Work: the art of survival in Dharavi</i> by Wunderkammer, Bath. The full text is available from the publisher at: https://wunderkammerpress.co.uk/<b>Jeffery, G. and Parry, B. (2021) 'Waste Work and the politics of knowledge', in Parry, B. and Jeffery, G. eds., <i>Waste Work: the art of survival in Dharavi</i>, Bath: Wunderkammer. ISBN 9780993551178</b><b>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law.</b>
DOI: 10.5281/zenodo.7336850
title: Embodiment of virtual feet correlates with motor performance in a target-stepping task

description: Dataset for the human factors experiment of "Embodiment of virtual feet correlates with motor performance in a target-stepping task".
DOI: 10.5281/zenodo.7336851
title: Embodiment of virtual feet correlates with motor performance in a target-stepping task

description: Dataset for the human factors experiment of "Embodiment of virtual feet correlates with motor performance in a target-stepping task". Contains R code, but in the current state, code cannot be blindly ran to perform the analysis.
DOI: 10.5281/zenodo.7336864
title: Embodiment of virtual feet correlates with motor performance in a target-stepping task

description: Dataset for the human factors experiment of "Embodiment of virtual feet correlates with motor performance in a target-stepping task".
DOI: 10.5281/zenodo.7356147
title: Precision Ephemerides for Gravitational-wave Sources+

description: Zenodo repository containing datasets and ephemeris predictions from the Precision Ephemerides for Gravitational-wave Searches project. New ephemerides will be published here, and updated incrementally as new data is acquired.
DOI: 10.5281/zenodo.7356146
title: Precision Ephemerides for Gravitational-wave Sources+

description: Zenodo repository containing datasets and ephemeris predictions from the Precision Ephemerides for Gravitational-wave Searches project. New ephemerides will be published here, and updated incrementally as new data is acquired. <strong>Version history</strong> <strong>1.0.0-release</strong>: first data release based on the PEGS IV MNRAS publication <strong>1.0.1: t_asc </strong>column now correctly corresponds to the neutron star time of ascending node. <strong>1.0.2: </strong>now provide files tabulating our measured velocities, and velocity errors for each dataset.