cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24550477
title: Biased Placement of Mitochondria Fission Facilitates Asymmetric Inheritance of Protein Aggregates during Yeast Cell Division

description: This repository contains data for "<b>Biased Placement of Mitochondria Fission Facilitates Asymmetric Inheritance of Protein Aggregates during Yeast Cell Division</b>" in PLOS Computational Biology.mitoInheritance_datasets-main.zip &gt;&gt; contains data necessary to reproduce the figures in the publication.mitoInheritance_plasmidSeqs.zip &gt;&gt; contains plasmid sequence data mitoInheritance_yeastSeqs.zip &gt;&gt; contains yeast DNA sequences for strains in paper
DOI: 10.6084/m9.figshare.24550477.v1
title: Data for publication Figures

description: test
DOI: 10.5281/zenodo.10075732
title: Calibration and Measurements during a field campaign in Rende_Data from SirGalahad, Tekran SPeciation Unit, UT-3000 analyzers
DOI: 10.6084/m9.figshare.24550447
title: tCRE atlas supplementary tables

description: Supplementary Tables for the manuscript: A single-cell atlas of transcribed cis-regulatory elements in the human genome
DOI: 10.5519/qd.ejua58lu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.24269329
title: Data OFC n PedsQL.xlsx

description: The measurement of children's quality of life uses the pediatric quality of life inventory (PedsQL), which is a questionnaire used to evaluate health-related quality of life (HRQoL) in children. PedsQL is a general health instrument consisting of 23 items that assess five health domains (physical function, emotional function, psychosocial function, social function, and school function) in children and adolescents aged 2 to 18 years. There are 23 questions covering physical function (8 items), emotional function (5 items), social function (5 items), and school function (5 items). The answer to each question was scored on a 5-point Likert scale: never (0), almost never (1), sometimes (2), often (3), and almost always (4). Scores are converted to a scale of 0–100 (0=100; 1=75; 2=50; 3=25; and 4=0). The total score of 23 items is the average of all answers. Value is said to be good if ≥70. This study used the Indonesian version of the PedsQL questionnaire which was obtained from the permit holder and was declared reliable (α&gt;0.7)
DOI: 10.6084/m9.figshare.24269329.v1
title: Data OFC n PedsQL.xlsx

description: The measurement of children's quality of life uses the pediatric quality of life inventory (PedsQL), which is a questionnaire used to evaluate health-related quality of life (HRQoL) in children. PedsQL is a general health instrument consisting of 23 items that assess five health domains (physical function, emotional function, psychosocial function, social function, and school function) in children and adolescents aged 2 to 18 years. There are 23 questions covering physical function (8 items), emotional function (5 items), social function (5 items), and school function (5 items). The answer to each question was scored on a 5-point Likert scale: never (0), almost never (1), sometimes (2), often (3), and almost always (4). Scores are converted to a scale of 0–100 (0=100; 1=75; 2=50; 3=25; and 4=0). The total score of 23 items is the average of all answers. Value is said to be good if ≥70. This study used the Indonesian version of the PedsQL questionnaire which was obtained from the permit holder and was declared reliable (α&gt;0.7)
DOI: 10.26182/mx6q-ge51
title: DATASET-Facilitative and competitive interactions between mycorrhizal and non-mycorrhizal plants in an extremely phosphorus-impoverished environment: role of ectomycorrhizal fungi and native oomycete pathogens in shaping species coexistence
DOI: 10.34740/kaggle/dsv/6955624
title: 📒Meta Kaggle ported to SQLITE DB
DOI: 10.6084/m9.figshare.24550453
title: UHPLC-Q-Exactive Orbitrap MS/MS of<i> </i><i>Duhaldea nervosa</i>

description: The UHPLC-Q-Exactive Orbitrap MS/MS of<i> </i>different parts of<i> </i><i>Duhaldea nervosa</i>
DOI: 10.6084/m9.figshare.24550453.v1
title: UHPLC-Q-Exactive Orbitrap MS/MS of<i> </i><i>Duhaldea nervosa</i>

description: The UHPLC-Q-Exactive Orbitrap MS/MS of<i> </i>different parts of<i> </i><i>Duhaldea nervosa</i>
DOI: 10.15151/esrf-es-1317825329
title: The Institute of Structural and Molecular Biology (ISMB) application for beam time, comprising groups from Birkbeck College, UCL and the Que

description: The ISMB spans Birkbeck and UCL with researchers in the core Departments at Birkbeck Biological Sciences and several UCL Research Departments. Research groups from Queen Mary University of London (QMUL) and Kingston University (KU) are joint co-applicants as they have strong links and collaborations with groups from ISMB. All groups share common interests in disciplines including structural, chemical, molecular and cell biology; using multidisciplinary andmultiscalar approaches. ISMB, UCL, QMUL and KU investigators, ranging from early-career research fellows to internationally-established senior academics, apply X-ray crystallography carried out mainly at our Wellcome funded facility at Birkbeck, as an essential method enabling: i) description of the atomic-level mechanistic details of macromolecules and macromolecular machines, and ii) structure-based drug discovery, while iii) complementing and supporting cryoelectron microscopy (cryo-EM) projects.
DOI: 10.15151/esrf-es-1398977424
title: Structural Biology of macromolecules and macromolecular complexes from India

description: Structural biology research groups located in India constitute the INDIA-BAG and will utilize MX, SAXS and CryoEM to study different biological macromolecules. The non-proprietary agreement signed between ESRF and the Regional Centre for Biotechnology (RCB), on behalf of the Department of Biotechnology (DBT) enables studies that provide fundamental insight regarding different biological processes . About 50 groups are part of this BAG and the allocated beamtime will be available for over 500 young researchers. A brief description of all the research groups is provided in the global summary. The ESRF-India partnership is supported by a grant provided by the DBT. Please note that a comprehensive annual report has to be sent to the DBT to obtain release of funds to pay ESRF membership dues. Consequently, all the structural biologists from India are grouped in a single BAG to enable smooth allocation of beamtime and monitoring of progress to collect the required statistics.
DOI: 10.15151/esrf-es-1339663952
title: Size-Dependent Catalytic Performance and Dynamic Size Changes during Operation of Transition Metal Catalysts in Ammonia Decomposition

description: The proposed experiments will contribute to determine size, structure and oxidation-state information of Ni and Co catalysts in ammonia decomposition. It will allow an explanation of catalytic differences from the kinetic studies (i.e. activation energy and rate) and contribute to understanding the dynamic re-dispersion of Ni and Co particles at different conditions. The results will be complemented by a full characterization by complementary techniques (XRD, XPS, TEM, TPD) and finally give insights into future catalyst design for ammonia decomposition.
DOI: 10.15151/esrf-es-1339668778
title: Adsorbate-induced phenomena at Pt- and Ru-based catalysts in liquid phase

description: The aim of this proposal is to investigate H2 and CO-induced phenomena occurring at Pt- and Ru-based catalysts by time-resolved XAS experiments in the liquid-phase. Previous multi-technique experiments, comprising Pt L3-edge XAS (CH-5204), revealed that Pt nanoparticles (NPs) restructure in the presence of H2 in the gas-phase; a similar behaviour is expected also for Ru, which is more reactive than Pt. Moreover, in a very recent high-energy XRPD/PDF experiment (CH-6371), we found that both catalysts restructure in the presence of H2 also in liquid phase, at a short time-scale (1-2 min). Here we want to perform time-resolved Pt L3-edge and Ru K-edge XAS to collect complementary information on adsorbate-induced NPs restructuring, extending the interest from H2 to CO. The experiment will help in bridging the gap of knowledge between phenomena occurring in gas and liquid phase, which are relevant both for fundamental research and for industrial catalysis.
DOI: 10.15151/esrf-es-1338644675
title: Q-dependence of the fast secondary relaxation in metallic glass-formers during the liquid-to-glass transition

description: During a recent XPCS beamtime at DESY we probed the dynamical response of a metallic glass (MG) of Zr46.8Ti8.2Cu7.5Ni10Be27.5 (vit4) and we obtained the first experimental evidence of a fast secondary beta-relaxation process in a glass, prior to the main structural relaxation which results in a double decay of the intermediate scattering functions (ISFs) in the ms time scale. Due to the low signal to noise ratio available at low Qs and short times scales, we could not characterize neither the wave-vector dependence of the beta-relaxation nor its evolution with temperature. For this purpose, we propose here to use the large coherent flux offered by XPCS at ESRF-EBS to probe for the first time the temporal evolution of the beta-relaxation in a MG across the glass-transition temperature. A successful experiment will deepen our understanding on the glassy dynamics from an extended scale and may unveil the physical origin for the recently reported string-like atomic motions in MGs.
DOI: 10.25442/hku.24523609
title: Supporting data for “ARITHMETIC OF DEFINITE SHIFTED LATTICES AND UNIVERSAL SUMS OF GENERALIZED POLYGONAL NUMBERS”

description: This is a conjectural list of universal ternary sums of generalized polygonal numbers. Following each sum, there might be a short description. If it is conditional, it means that the ternary sum is proved to be universal conditional on generalized Riemann hypotheses. If it is unconditional, it means that the ternary sum is proved to be universal unconditionally. If it is neither of them, it means that it is proved in the paper specified by the description. For the details, see my thesis.
DOI: 10.25442/hku.24523609.v1
title: Supporting data for “ARITHMETIC OF DEFINITE SHIFTED LATTICES AND UNIVERSAL SUMS OF GENERALIZED POLYGONAL NUMBERS”

description: This is a conjectural list of universal ternary sums of generalized polygonal numbers. Following each sum, there might be a short description. If it is conditional, it means that the ternary sum is proved to be universal conditional on generalized Riemann hypotheses. If it is unconditional, it means that the ternary sum is proved to be universal unconditionally. If it is neither of them, it means that it is proved in the paper specified by the description. For the details, see my thesis.
DOI: 10.5281/zenodo.10117393
title: Top 120+ popular movies 2023 from RottenTomatoes

description: [ENG] The file contains information about popular movies on the webpage Rotten Tomatoes. We suggest using R or Python to work with the dataset. The dataset has not been cleaned, so spaces, NaN values and unmatched variables types may be present.
[CAT] El fitxer conté informació sobre pel·lícules populars a la pàgina web Rotten Tomatoes. Suggerim utilitzar R o Python per a treballar amb el conjunt de dades. El conjunt de dades no s'ha netejat, de manera que els espais, els valors NaN i els tipus de variables que no coincideixn poden estar presents.
[ESP] El fichero contiene información sobre películas populares en la página web Rotten Tomatoes. Sugerimos utilizar R o Python para trabajar con el conjunto de datos. El conjunto de datos no se ha limpiado, de forma que los espacios, los valores NaN y los tipos de variables que no coincidan pueden estar presentes.
DOI: 10.5281/zenodo.10117394
title: Top 120+ popular movies 2023 from RottenTomatoes

description: [ENG] The file contains information about popular movies on the webpage Rotten Tomatoes. We suggest using R or Python to work with the dataset. The dataset has not been cleaned, so spaces, NaN values and unmatched variables types may be present.
[CAT] El fitxer conté informació sobre pel·lícules populars a la pàgina web Rotten Tomatoes. Suggerim utilitzar R o Python per a treballar amb el conjunt de dades. El conjunt de dades no s'ha netejat, de manera que els espais, els valors NaN i els tipus de variables que no coincideixn poden estar presents.
[ESP] El fichero contiene información sobre películas populares en la página web Rotten Tomatoes. Sugerimos utilizar R o Python para trabajar con el conjunto de datos. El conjunto de datos no se ha limpiado, de forma que los espacios, los valores NaN y los tipos de variables que no coincidan pueden estar presentes.
DOI: 10.6084/m9.figshare.24032238
title: Genome of <i>L. chinensis</i>

description: <i>Leymus chinensis</i>, a dominant perennial grass in the Eurasian Steppe, is well known for its remarkable adaptability and forage quality. Hardly any breeding has been done on the grass, limiting its potential in ecological restoration and forage productivity. To enable genetic improvement of the untapped, important species, we obtained a 7.85-Gb high quality genome of <i>L. chinensis </i>with a particularly long contig N50 (318.49 Mb). Its allotetraploid genome is estimated to originate 5.29 million years ago (MYA) from a cross between the Ns-subgenome relating to <i>Psathyrostachys</i>, and the unknown Xm-subgenome. Multiple bursts of transposons during 0.433–1.842 MYA after genome allopolyploidization, which involved predominantly the Tekay and Angela of LTR retrotransposons, contributed to its genome expansion and complexity. With the genome resource available, we successfully developed a genetic transformation system as well as the gene editing pipeline in <i>L. chinensis</i>. We knocked out the monocot-specific miR528 using CRISPR/Cas9, resulting in the improvement of yield-related traits with increases in the tiller number and growth rate. Our research provides valuable genomic resources for Triticeae evolutionary studies and presents a conceptual framework illustrating the utilization of genomic information and genome editing to accelerate the improvement of wild <i>L. chinensis</i>, with features such as polyploidization and self-incompatibility.
DOI: 10.17632/ydw6ws3jt5.1
title: GPP

description: Whole exome sequencing from patient a homozygous likely pathogenic variant of IL36RN, consistent with a genetic disorder, autosomal recessive pustular psoriasis type 14.
DOI: 10.17632/znj27msy75.1
title: Data for paper Research on rock dilation characteristics: Taking Dagangshan granite as an example

description: Data for a paper named paper Research on rock dilation characteristics: Taking Dagangshan granite as an example
DOI: 10.17632/k46v7d6wth.1
title: Dynamic Self-Learning Gender Entity Classification Algorithm

description: The dataset and source code for the "Dynamic Self-Learning Gender Entity Classification Algorithm" provide a solution for gender entity classification in a dynamic and evolving context. The dataset encompasses a diverse collection of textual data, likely spanning various sources, with entities that need gender classification beyond binary classification. These entities could include names, titles, or other text fragments where gender identification is relevant. The source code accompanying the dataset embodies an innovative and self-learning algorithm designed to dynamically adapt and improve its beyond binary gender classification accuracy over time. It also consist of there auxiliary code to run the system. Key features of the dataset and source code: Diversity of Data: The dataset is likely to cover a broad spectrum of textual data, ensuring that the algorithm is trained on a wide range of linguistic contexts and scenarios. Self-Learning Mechanism: The algorithm is equipped with a self-learning mechanism, enabling it to evolve and improve its accuracy over time without manual intervention. This adaptability makes it well-suited for applications in dynamic environments where language conventions may change. Gender Entity Classification: The primary focus of both the dataset and source code is on gender entity classification. This involves accurately determining the gender associated with entities within the text, providing valuable insights for gender-related analysis or applications. Incorporation of Machine Learning: The source code likely incorporates machine learning techniques, such as natural language processing (NLP) and classification algorithms, to effectively learn and predict the gender associated with entities in the dataset. Open-Source Availability: The source code is expected to be made available as open-source, allowing researchers, developers, and data scientists to explore, adapt, and contribute to the algorithm's ongoing development. Continuous Improvement: The self-learning aspect ensures that the algorithm continuously refines its gender classification abilities, making it a powerful tool for applications where staying up-to-date with language nuances is crucial. In summary, the "Dataset and Source Code for Dynamic Self-Learning Gender Entity Classification Algorithm" provide a robust framework for gender entity classification, offering adaptability and continuous improvement through a self-learning mechanism. Researchers and practitioners can leverage this resource to enhance gender-related analysis and applications in a dynamic linguistic landscape.
DOI: 10.17632/k46v7d6wth.2
title: Dynamic Self-Learning Gender Entity Classification Algorithm

description: The dataset and source code for the "Dynamic Self-Learning Gender Entity Classification Algorithm" provide a solution for gender entity classification in a dynamic and evolving context. The dataset encompasses a diverse collection of textual data, likely spanning various sources, with entities that need gender classification beyond binary classification. These entities could include names, titles, or other text fragments where gender identification is relevant. The source code accompanying the dataset embodies an innovative and self-learning algorithm designed to dynamically adapt and improve its beyond binary gender classification accuracy over time. It also consist of there auxiliary code to run the system. Key features of the dataset and source code: Diversity of Data: The dataset is likely to cover a broad spectrum of textual data, ensuring that the algorithm is trained on a wide range of linguistic contexts and scenarios. Self-Learning Mechanism: The algorithm is equipped with a self-learning mechanism, enabling it to evolve and improve its accuracy over time without manual intervention. This adaptability makes it well-suited for applications in dynamic environments where language conventions may change. Gender Entity Classification: The primary focus of both the dataset and source code is on gender entity classification. This involves accurately determining the gender associated with entities within the text, providing valuable insights for gender-related analysis or applications. Incorporation of Machine Learning: The source code likely incorporates machine learning techniques, such as natural language processing (NLP) and classification algorithms, to effectively learn and predict the gender associated with entities in the dataset. Open-Source Availability: The source code is expected to be made available as open-source, allowing researchers, developers, and data scientists to explore, adapt, and contribute to the algorithm's ongoing development. Continuous Improvement: The self-learning aspect ensures that the algorithm continuously refines its gender classification abilities, making it a powerful tool for applications where staying up-to-date with language nuances is crucial. In summary, the "Dataset and Source Code for Dynamic Self-Learning Gender Entity Classification Algorithm" provide a robust framework for gender entity classification, offering adaptability and continuous improvement through a self-learning mechanism. Researchers and practitioners can leverage this resource to enhance gender-related analysis and applications in a dynamic linguistic landscape.
DOI: 10.17632/jdv9bjtnxw.1
title: SGLT2 inhibitors reduce the risk of hospitalization for heart failure and amputation rate compared with incretin-based therapy in patients with diabetic foot disease: A nationwide population-based study

description: supplementary table and figures
DOI: 10.17632/7kncxrsnnx.1
title: SPBCMI Original Data

description: This is original dataset of Predicting circRNA-miRNA Interactions Utilizing Transformer-based RNA Sequential Learning and High-Order Proximity preserved Embedding
DOI: 10.17632/3rx9vy9vzf.1
title: Tool assisted development of glycosaminoglycan (GAG) parameters for the SPICA force field - Detailed Simulation Data

description: This repository contains video files accompanying a poster presentation at the 6th International Conference on Molecular Simulations (ICMS 2023). A copy of the poster will also be included after the conference closes. Abstract excerpt: In this work, we would like to present our progress on the ongoing project of bringing saccharide and glycan parameters to the SPICA (Surface Property fItting Coarse grained model) forcefield. In addition, we would like to make SPICA more accessible. For this purpose, we will be presenting our progress on tools to make working with the forcefield easier, faster, and more compatible. Since GAGs are not present in the SPICA forcefield, parametrisation is necessary. We opted to optimise the interaction parameters by means of fitting to bond and angle distributions (solute bonded parameters), density data (solute - water interactions), radial distribution functions (RDF; solute - solute non-bonded interactions), as well as potential of mean force (solute - lipid bilayer interactions). We also simulated stretching of the oligomer with the adaptive biasing force method to validate the parameters. Here, we present rendered videos of selected trajectories.
DOI: 10.17632/3rx9vy9vzf.2
title: Tool assisted development of glycosaminoglycan (GAG) parameters for the SPICA force field - Detailed Simulation Data

description: This repository contains video files accompanying a poster presentation at the 6th International Conference on Molecular Simulations (ICMS 2023) & The 61st Annual Meeting of the Biophysical Society of Japan. A copy of the posters will also be included after both conferences close. Abstract excerpt: In this work, we would like to present our progress on the ongoing project of bringing saccharide and glycan parameters to the SPICA (Surface Property fItting Coarse grained model) forcefield. In addition, we would like to make SPICA more accessible. For this purpose, we will be presenting our progress on tools to make working with the forcefield easier, faster, and more compatible. Since GAGs are not present in the SPICA forcefield, parametrisation is necessary. We opted to optimise the interaction parameters by means of fitting to bond and angle distributions (solute bonded parameters), density data (solute - water interactions), radial distribution functions (RDF; solute - solute non-bonded interactions), as well as potential of mean force (solute - lipid bilayer interactions). We also simulated stretching of the oligomer with the adaptive biasing force method to validate the parameters. Here, we present rendered videos of selected trajectories.
DOI: 10.17632/fmhcpkhgrp.1
title: Climatology and pulmonary tuberculosis data

description: Climatology data
DOI: 10.17632/zz8j36y24f.1
title: Suicide Reddit Dataset

description: this data set collected from reddit social media, Our dataset comprises 3652 non-suicidal posts and 3549 posts discussing suicide, sourced from relatively large subreddits specifically dedicated to supporting individuals at risk. Suicidal posts were collected from the ”SuicideWatch”(SW) subreddit . Popular subreddits provided posts with no suicidal intent
DOI: 10.17632/2zpptr373w.1
title: Sustainibility data

description: Sustainability, green innovation