cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14131305.v1
title: Additional file 2 of Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma

description: Additional file 2. Raw Mutation data downloaded from pedcbioportal and cbioportal, filtered, processed, merged and again filtered, provided as semicolon separated file as used in the python scripts.
DOI: 10.6084/m9.figshare.14131305
title: Additional file 2 of Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma

description: Additional file 2. Raw Mutation data downloaded from pedcbioportal and cbioportal, filtered, processed, merged and again filtered, provided as semicolon separated file as used in the python scripts.
DOI: 10.6084/m9.figshare.14131337
title: Additional file 1 of Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation

description: Additional file 1: Table S1. Bed-file of QIAseq Targeted RNAscan Custom Panel (Qiagen).
DOI: 10.6084/m9.figshare.14131337.v1
title: Additional file 1 of Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation

description: Additional file 1: Table S1. Bed-file of QIAseq Targeted RNAscan Custom Panel (Qiagen).
DOI: 10.6084/m9.figshare.14131340.v1
title: Additional file 2 of Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation

description: Additional file 2: Table S2. Bed-file of SureSelect XT HS Custom Panel (Agilent).
DOI: 10.6084/m9.figshare.14131340
title: Additional file 2 of Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation

description: Additional file 2: Table S2. Bed-file of SureSelect XT HS Custom Panel (Agilent).
DOI: 10.6084/m9.figshare.14131365
title: Additional file 1 of Hepatitis B virus infection and its associated factors among medical waste collectors at public health facilities in eastern Ethiopia: a facility-based cross-sectional study

description: Additional file 1.
DOI: 10.6084/m9.figshare.14131365.v1
title: Additional file 1 of Hepatitis B virus infection and its associated factors among medical waste collectors at public health facilities in eastern Ethiopia: a facility-based cross-sectional study

description: Additional file 1.
DOI: 10.6084/m9.figshare.14131376
title: raw_data

description: Provide download links for the raw data used in this study.
DOI: 10.6084/m9.figshare.14131376.v1
title: raw_data

description: Provide download links for the raw data used in this study.
DOI: 10.5281/zenodo.4568610
title: VIODE

description: Dynamic environments such as urban areas are still challenging for popular visual-inertial odometry (VIO) algo- rithms. Existing datasets typically fail to capture the dynamic nature of these environments, therefore making it difficult to quantitatively evaluate the robustness of existing VIO methods. To address this issue, we propose three contributions: firstly, we provide the VIODE benchmark, a novel dataset recorded from a simulated UAV that navigates in challenging dynamic environments. The unique feature of the VIODE dataset is the systematic introduction of moving objects into the scenes. It includes three environments, each of which is available in four dynamic levels that progressively add moving objects. The dataset contains synchronized stereo images and IMU data, as well as ground-truth trajectories and instance segmentation masks. Secondly, we compare state-of-the-art VIO algorithms on the VIODE dataset and show that they display substantial performance degradation in highly dynamic scenes. Thirdly, we propose a simple extension for visual localization algorithms that relies on semantic information. Our results show that scene semantics are an effective way to mitigate the adverse effects of dynamic objects on VIO algorithms. Finally, we make the VIODE dataset publicly available at https://github.com/kminoda/VIODE.
DOI: 10.5281/zenodo.4483234
title: VIODE

description: Dynamic environments such as urban areas are still challenging for popular visual-inertial odometry (VIO) algo- rithms. Existing datasets typically fail to capture the dynamic nature of these environments, therefore making it difficult to quantitatively evaluate the robustness of existing VIO methods. To address this issue, we propose three contributions: firstly, we provide the VIODE benchmark, a novel dataset recorded from a simulated UAV that navigates in challenging dynamic environments. The unique feature of the VIODE dataset is the systematic introduction of moving objects into the scenes. It includes three environments, each of which is available in four dynamic levels that progressively add moving objects. The dataset contains synchronized stereo images and IMU data, as well as ground-truth trajectories and instance segmentation masks. Secondly, we compare state-of-the-art VIO algorithms on the VIODE dataset and show that they display substantial performance degradation in highly dynamic scenes. Thirdly, we propose a simple extension for visual localization algorithms that relies on semantic information. Our results show that scene semantics are an effective way to mitigate the adverse effects of dynamic objects on VIO algorithms. Finally, we make the VIODE dataset publicly available at https://github.com/kminoda/VIODE.
DOI: 10.6084/m9.figshare.14107331.v1
title: intermediate_output_data_files_effect_verification_of_deep_knowledge_representation

description: These intermediate files are used to visually evaluate the effect of the representation learning models.<br><br>Visualization distribution of corresponding categorical attributes of the five protein biological properties in trainingspace. (a) Visualization distribution of categorical attributes of the MeSH concepts in literature-space. Each point represents aMeSH concept and the colors indicate the MeSH tree categories. A total of 35 first-level MeSH tree categories and 16,035 MeSHconcepts are included. (b) Visualization distribution of categorical attributes of the GO terms in literature-space. Each pointrepresents a GO term and the colors indicate the sub-ontology categories. A total of 3 sub-ontology categories (biological process,molecular function, and cellular component) and 29,306 GO terms are included. (c) Visualization distributions of physiochemicalproperties of amino acids in sequence-space. Each point represents a 3-gram sub-sequence and the colors indicate the scalefor each physiochemical property. A total of 9 physiochemical properties and 10,617 3-gram sub-sequences are included. (d)Visualization distributions of network edge weight properties in PPI-space. Each point represents a protein node and the colorsindicate the scale for each sub-score or combined score. A total of 5 sub-scores and a combined sore, and 33,531 protein nodeswere included. (e) Visualization distribution of chromosome number properties in gene expression-space. Each point representsthe genotype-tissue expression data of each gene and the colors indicate the chromosome numbers. A total of 23 chromosomenumbers and 20,131 genotype-tissue expression data were included. As it is shown data points with the same categorical attributeare automatically clustered together, signifying that corresponding categorical attributes are smoothly distributed in training space.SASA solvent-accessible surface, NCI net change index of side chains, MASS average mass of amino acid.
DOI: 10.6084/m9.figshare.14107331
title: intermediate_output_data_files_effect_verification_of_deep_knowledge_representation

description: These intermediate files are used to visually evaluate the effect of the representation learning models.<br><br>
DOI: 10.6084/m9.figshare.14107331.v2
title: intermediate_output_data_files-effect_verification_of_deep_knowledge_representation

description: These intermediate files are used to visually evaluate the effect of the representation learning models.<br><br>
DOI: 10.6084/m9.figshare.14106635
title: intermediate_output_data_files_protein_deep_profiles

description: The representation learning models constructed in this research is used to describe the five biological features of proteins. These vectors together constitute the protein deep profile matrix.<br>
DOI: 10.6084/m9.figshare.14106635.v2
title: intermediate_output_data_files_protein_deep_profiles

description: The representation learning models constructed in this research is used to describe the five biological features of proteins. These vectors together constitute the protein deep profile matrix.<br>
DOI: 10.6084/m9.figshare.14106635.v1
title: intermediate_output_data_files---protein_deep_profiles.zip

description: Deep knowledge representing proteins as protein deep profiles, enabling the integration and fully harnessing of heterogeneousbiomedical big data.The representation learning models constructed in this research is used to describe the five biological characteristics of proteins. These vectors together constitute the protein deep profile matrix.<br>
DOI: 10.6084/m9.figshare.14130701
title: other_intermediate_output_data_files

description: Other intermediate output data files. Please refer to the 'read_me.txt' file.
DOI: 10.6084/m9.figshare.14130701.v1
title: other_intermediate_output_data_files

description: Other intermediate output data files. Please refer to the 'read_me.txt' file.
DOI: 10.6084/m9.figshare.14131379
title: DATA OF STRENGTHENING WOMEN'S EMPOWERMENT THROUGH THE IMPLEMENTATION OF FAMILY FUNCTIONS

description: <pre>DATA CONTAINING DESCRIPTION OF THE KNOWLEDGE OF WOMEN WITH DISABILITIES CONCERNING THE ROLE OF THE FAMILY BEFORE AND AFTER THE TREATMENT IS GIVEN</pre>
DOI: 10.6084/m9.figshare.14131379.v1
title: DATA OF STRENGTHENING WOMEN'S EMPOWERMENT THROUGH THE IMPLEMENTATION OF FAMILY FUNCTIONS

description: <pre>DATA CONTAINING DESCRIPTION OF THE KNOWLEDGE OF WOMEN WITH DISABILITIES CONCERNING THE ROLE OF THE FAMILY BEFORE AND AFTER THE TREATMENT IS GIVEN</pre>
DOI: 10.25919/dme6-se68
title: Parkes observations for project P1038 semester 2020OCTS_13

description: PSR~J1759-2402 is one of a small handful of pulsars which are in orbit about high mass stars. Its orbital period is 8.3 years and the orbit is highly eccentric with periastron expected in 2021 March. Although discovered at Parkes, the Lovell telescope has been monitoring the pulsar over many years. However, it’s restricted bandwidth, maintenance schedule and poorer polarization capability make it unsuitable to follow the pulsar as it enters and leaves the eclipse by the companion. In contrast, the UWL on Parkes with its wide- band and excellent polarization characteristics means that we can determine scattering, polarization, dispersion measure and rotation measure changes as the pulsar enters its companion wind. We request a continuation of our weekly observations of the pulsar to track its progress around the orbit.
DOI: 10.25919/4gbr-cp75
title: Parkes observations for project P1054 semester 2020OCTS_01

description: With this proposal we ask time for a follow-up campaign of potential new discoveries from the TRAPUM (TRAnsients and PUlsars with Meerkat) survey, whiose observations are recently started. About 10 new pulsars are expected to be found during the upcoming semester of operations, in targeted pointings towards supernova remnants, pulsar wind nebulae and Fermi unidentified point sources. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that will allow us to successfully time the bright-end of TRAPUM discoveries. Since we do not have a target list at the time of writing, we are submitting a NAPA proposal, for this semester, to be triggered as soon as a new pulsar of interest is discovered.
DOI: 10.5281/zenodo.4568618
title: Determination of beta-cyfluthrin resistance in cigarette beetle Lasioderma serricorne (F.) (Coleoptera: Anobiidae) and evaluation of control effect of alternating imidacloprid in field trials

description: Spray toxicity bioassays were conducted to study the toxicity of beta-cyfluthrin and imidacloprid against <em>L. serricorne</em> in laboratory. Preliminary trials were carried out to determine appropriate ranges of testing concentration. In laboratory, at 27 ℃, spray tower was placed on a flat marble tabletop to ensure that the bottom of spray tower fitted perfectly with tabletop to prevent insects from escaping. After slowly introducing 20 adults to tower bottom from tower mouth, 0.5 mL liquid was sprayed into spray chamber at tower mouth with a hand-held ultra-low volume atomizer gun, at a distance of 35 cm. Tower mouth was covered with a glass cap immediately (not sealed). Dead individuals were documented 2 and 24 hours after treatment under dark conditions. An adult was considered dead if its appendages did not move when prodded with a hair brush. Probit analysis was used for analyzing the bioassay data to estimateLC<sub>50. </sub>Field trials were carried out in the cigarette manufacturing area of Hefei Cigarette Manufacturing Factory in Hefei, Anhui, China. Before test, five sections worked normally and were cleaned normally following written sanitation procedures. Beta-cyfluthrin were sprayed in the space of five sections. Seven weeks later, imidacloprid aerosols were sprayed in the same space of five sections. Pheromone traps were used to monitor the number of insects captured. The number and hanging height of the pheromone trap in each section were based on CORESTA. Traps were placed on steel nail of the wall or column and marked for position. The numbers of <em>L. serricorne</em> caught by traps were recorded once a week, and traps were replaced every 30 days.
DOI: 10.5281/zenodo.4568617
title: Determination of beta-cyfluthrin resistance in cigarette beetle Lasioderma serricorne (F.) (Coleoptera: Anobiidae) and evaluation of control effect of alternating imidacloprid in field trials

description: Spray toxicity bioassays were conducted to study the toxicity of beta-cyfluthrin and imidacloprid against <em>L. serricorne</em> in laboratory. Preliminary trials were carried out to determine appropriate ranges of testing concentration. In laboratory, at 27 ℃, spray tower was placed on a flat marble tabletop to ensure that the bottom of spray tower fitted perfectly with tabletop to prevent insects from escaping. After slowly introducing 20 adults to tower bottom from tower mouth, 0.5 mL liquid was sprayed into spray chamber at tower mouth with a hand-held ultra-low volume atomizer gun, at a distance of 35 cm. Tower mouth was covered with a glass cap immediately (not sealed). Dead individuals were documented 2 and 24 hours after treatment under dark conditions. An adult was considered dead if its appendages did not move when prodded with a hair brush. Probit analysis was used for analyzing the bioassay data to estimateLC<sub>50. </sub>Field trials were carried out in the cigarette manufacturing area of Hefei Cigarette Manufacturing Factory in Hefei, Anhui, China. Before test, five sections worked normally and were cleaned normally following written sanitation procedures. Beta-cyfluthrin were sprayed in the space of five sections. Seven weeks later, imidacloprid aerosols were sprayed in the same space of five sections. Pheromone traps were used to monitor the number of insects captured. The number and hanging height of the pheromone trap in each section were based on CORESTA. Traps were placed on steel nail of the wall or column and marked for position. The numbers of <em>L. serricorne</em> caught by traps were recorded once a week, and traps were replaced every 30 days.
DOI: 10.6084/m9.figshare.14122049.v1
title: Update on the multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs: auditory, sensory and high-frequency sensory evoked potentials

description: Building upon the previously shared data set, here we expand from a spontaneous to an evoked responses data set containing brain electrical activities in the form of electrocorticogram (ECOG) and electrothalamogram (EThG). This evoked responses data set includes auditory (AEP) and sensory (SEP) stimulation paradigms. This permits derivation of electroencephalogram (EEG) biomarkers of corticothalamic communication under normal, sedation, and hypoxic/ischemic conditions with ensuing recovery. The data set is presented in full band sampled at 2000 Hz. A unique feature is the additional measurement of the high-frequency oscillations in response to sensory stimulation (HFO SEPs). We provide technical validation of the evoked responses for the composite states of sedation, ischemia and recovery, as before. This extended data set now permits mutual inferences between spontaneous and evoked activities across the recorded modalities. Future studies on the dataset may contribute to the development of new brain monitoring technologies, which will facilitate the prevention of neurological injuries.
DOI: 10.5517/ccdc.csd.cc253gtl
title: CCDC 1999339: Experimental Crystal Structure Determination

description: Related Article: Arpan Mondal, Sanjit Konar|2021|Chem.-Eur.J.|27|3449|doi:10.1002/chem.202004379
DOI: 10.5517/ccdc.csd.cc25thk2
title: CCDC 2020504: Experimental Crystal Structure Determination

description: Related Article: Arpan Mondal, Sanjit Konar|2021|Chem.-Eur.J.|27|3449|doi:10.1002/chem.202004379
DOI: 10.5517/ccdc.csd.cc253gvm
title: CCDC 1999340: Experimental Crystal Structure Determination

description: Related Article: Arpan Mondal, Sanjit Konar|2021|Chem.-Eur.J.|27|3449|doi:10.1002/chem.202004379
DOI: 10.5517/ccdc.csd.cc26s5ls
title: CCDC 2049025: Experimental Crystal Structure Determination

description: Related Article: Matteo Atzori, Kais Dhbaibi, Haiet Douib, Maxime Grasser, Vincent Dorcet, Ivan Breslavetz, Kévin Paillot, Olivier Cador, Geert L. J. A. Rikken, Boris Le Guennic, Jeanne Crassous, Fabrice Pointillart, Cyrille Train|2021|J.Am.Chem.Soc.|143|2671|doi:10.1021/jacs.0c13180
DOI: 10.5517/ccdc.csd.cc26s5mt
title: CCDC 2049026: Experimental Crystal Structure Determination

description: Related Article: Matteo Atzori, Kais Dhbaibi, Haiet Douib, Maxime Grasser, Vincent Dorcet, Ivan Breslavetz, Kévin Paillot, Olivier Cador, Geert L. J. A. Rikken, Boris Le Guennic, Jeanne Crassous, Fabrice Pointillart, Cyrille Train|2021|J.Am.Chem.Soc.|143|2671|doi:10.1021/jacs.0c13180
DOI: 10.5517/ccdc.csd.cc272qgj
title: CCDC 2058197: Experimental Crystal Structure Determination

description: Related Article: Maximilian Haider, Goh Sennari, Alina Eggert, Richmond Sarpong|2021|J.Am.Chem.Soc.|143|2710|doi:10.1021/jacs.1c00293
DOI: 10.5517/ccdc.csd.cc272qhk
title: CCDC 2058198: Experimental Crystal Structure Determination

description: Related Article: Maximilian Haider, Goh Sennari, Alina Eggert, Richmond Sarpong|2021|J.Am.Chem.Soc.|143|2710|doi:10.1021/jacs.1c00293
DOI: 10.6084/m9.figshare.14131598
title: Tabela Consolidada.xlsx

description: Dados sobre deputados estaduais eleitos em todo Brasil em 2014 relacionando com 2016 e 2018.
DOI: 10.6084/m9.figshare.14131598.v1
title: Tabela Consolidada.xlsx

description: Dados sobre deputados estaduais eleitos em todo Brasil em 2014 relacionando com 2016 e 2018.
DOI: 10.6084/m9.figshare.13416359.v2
title: Creative subtitling bibliography

description: This bibliography is an output of the project <i>Putting the 'Pop' into J-pop: Using creative subtitles to promote Japanese music globally</i>, and aims to serve as a support for creative subtitling researchers and/or practitioners. It will be updated on at least an annual basis.<br>
DOI: 10.6084/m9.figshare.13416359
title: In development

description: In development<br>
DOI: 10.6084/m9.figshare.13416359.v4
title: In development

description: In development<br>
DOI: 10.6084/m9.figshare.13416359.v3
title: Creative subtitling bibliography

description: This bibliography is an output of the project <i>Putting the 'Pop' into J-pop: Using creative subtitles to promote Japanese music globally</i>, and aims to serve as a support for creative subtitling researchers and/or practitioners. It will be updated on at least an annual basis.<br>
DOI: 10.5281/zenodo.4554591
title: Mowjaz Multi-Topic Labelling Task

description: Mowjaz is an Arabic topical content aggregation mobile application for news, sport, entertainment and other topics that users can follow. Mowjaz search engine and recommendation system is built on top of NLP/NLU machine learning APIs that distinguish it from any other News and entertainment applications available, mainly focusing on the users having the best experience and receiving content that is of their interest. One of Mowjaz’s top AI powered models is Topic Multi-Labelling, which is the focus of this shared task. This model is basically used to classify articles based on their topics. Additionally, the model predicts multiple topics in one article and is categorized to all possible topics that are present within its content. Mowjaz's topics are classified into ten categories and an article can be classified under as many topics as it covers. This model helps users get and display the most relevant news to their interests. The enhanced user experience that Mowjaz offers makes one news article be classified and shown under all the different topics that it holds. Mowjaz Multi-Topic Labelling Task (just.edu.jo)
DOI: 10.5281/zenodo.4554590
title: Mowjaz Multi-Topic Labelling Task

description: Mowjaz is an Arabic topical content aggregation mobile application for news, sport, entertainment and other topics that users can follow. Mowjaz search engine and recommendation system is built on top of NLP/NLU machine learning APIs that distinguish it from any other News and entertainment applications available, mainly focusing on the users having the best experience and receiving content that is of their interest. One of Mowjaz’s top AI powered models is Topic Multi-Labelling, which is the focus of this shared task. This model is basically used to classify articles based on their topics. Additionally, the model predicts multiple topics in one article and is categorized to all possible topics that are present within its content. Mowjaz's topics are classified into ten categories and an article can be classified under as many topics as it covers. This model helps users get and display the most relevant news to their interests. The enhanced user experience that Mowjaz offers makes one news article be classified and shown under all the different topics that it holds. Mowjaz Multi-Topic Labelling Task (just.edu.jo)
DOI: 10.5281/zenodo.4568663
title: Regional flexibility in households and supermarkets

description: In a simulation, the potential of private households and businesses in the form of supermarkets was evaluated, which exists for flexible electricity consumption and which restrictions can be expected. The results were used to enable the Reiner Lemoine Institute to integrate and compare this potential for the regions Anhalt-Bitterfeld, Wittenberg and Dessau-Roßlau in its own simulations for the optimal scheduling of power plants, storage facilities and flexibilities. The simulation data are published as annual load profiles for the municipalities in the Anhalt region and for three typical supermarkets as an appendix to this publication.