cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7497358
title: naso_brachycentron_decontaminated_gx.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21801214
title: Protocolo de corpo inteiro para análise tridimensional em dança - Whole-body protocol for three-dimensional analysis in dance - TESE LUISA BEATRIZ TREVISAN TEIXEIRA

description: Protocolo de corpo inteiro para análise tridimensional em dança - Whole-body protocol for three-dimensional analysis in dance - TESE LUISA BEATRIZ TREVISAN TEIXEIRA . Dados coletados por meio do sistema Vicon https://www.vicon.com/about-us/what-is-motion-capture/ ao longo de 3 movimentos de dança: Balanço, Pêndulo e Swing.
DOI: 10.6084/m9.figshare.21801214.v1
title: Protocolo de corpo inteiro para análise tridimensional em dança - Whole-body protocol for three-dimensional analysis in dance - TESE LUISA BEATRIZ TREVISAN TEIXEIRA

description: Protocolo de corpo inteiro para análise tridimensional em dança - Whole-body protocol for three-dimensional analysis in dance - TESE LUISA BEATRIZ TREVISAN TEIXEIRA . Dados coletados por meio do sistema Vicon https://www.vicon.com/about-us/what-is-motion-capture/ ao longo de 3 movimentos de dança: Balanço, Pêndulo e Swing.
DOI: 10.5281/zenodo.7497372
title: naso_brachycentron_ragtag_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7497371
title: naso_brachycentron_ragtag_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.3761562.v2442
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.7497376
title: naso_brevirostris_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7497375
title: naso_brevirostris_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7497382
title: naso_brevirostris_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7497381
title: naso_brevirostris_decontaminated_gx.fasta.gz

description: .
DOI: 10.26093/cds/vizier.35770121
title: The XMM-ATLAS catalogues

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'The XMM-Newton survey in the H-ATLAS field.' (bibcode: 2015A&A...577A.121R)
DOI: 10.26093/cds/vizier.36080039
title: X-ATLAS X-ray sources photometric redshifts

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Estimating photometric redshifts for X-ray sources in the X-ATLAS field, using machine-learning techniques.' (bibcode: 2017A&A...608A..39M)
DOI: 10.26093/cds/vizier.36459008
title: Parallaxes & proper motions of OB stars from Gaia EDR3

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Local spiral structure based on the Gaia EDR3 parallaxes.' (bibcode: 2021A&A...645L...8X)
DOI: 10.26093/cds/vizier.36460104
title: Improving the open cluster census. I.

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Improving the open cluster census. I. Comparison of clustering algorithms applied to Gaia DR2 data.' (bibcode: 2021A&A...646A.104H)
DOI: 10.26093/cds/vizier.36460083
title: 12 massive lensing clusters MUSE observations

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'An atlas of MUSE observations towards twelve massive lensing clusters.' (bibcode: 2021A&A...646A..83R)
DOI: 10.26093/cds/vizier.36460099
title: Gaia DR2 Monoceros and ACS candidates

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'The outer disc in shambles: Blind detection of Monoceros and the ACS with Gaia's astrometric sample.' (bibcode: 2021A&A...646A..99R)
DOI: 10.26093/cds/vizier.36520076
title: Gaia Photometric Science Alerts

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Gaia Photometric Science Alerts.' (bibcode: 2021A&A...652A..76H)
DOI: 10.26093/cds/vizier.36530160
title: Updated radial velocities from Gaia DR2

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Gaia Early Data Release 3. Updated radial velocities from Gaia DR2.' (bibcode: 2021A&A...653A.160S)
DOI: 10.26093/cds/vizier.36540122
title: X1 Fornacis cluster DANCe

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title '{chi}^1^ Fornacis cluster DANCe. Census of stars, structure, and kinematics of the cluster with Gaia-EDR3.' (bibcode: 2021A&A...654A.122G)
DOI: 10.5517/ccdc.csd.cc2d3bkf
title: CCDC 2207744: Experimental Crystal Structure Determination

description: Related Article: Ping-Xing Qi, Shuang-Shuang Liu, Peng Zhang, Yan-Qing Xie, Zhu-Ya Yang, Afsar Khan, Lu Liu|2022|Fitoterapia|164|105392|doi:10.1016/j.fitote.2022.105392
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: 10.5281/zenodo.7497390
title: Degenerative Cervical Myelopathy (DCM) induces sex-specific dysbiosis in the mouse gut bacterial microbiome, altering abundance and function

description: <strong>Background:</strong> Degenerative cervical myelopathy (DCM) represents the commonest cause of spinal cord impairment induced by non-traumatic events in the elderly population. It describes a spectrum of disorders that cause progressive spinal cord compression, neurological impairment, loss of bladder and bowel functions, as well as gastrointestinal dysfunction. The gut microbiota has been increasingly recognized as an environmental factor that can modulate both the central nervous system and immune response through the microbiota-gut-brain axis. Changes in gut microbiota composition or in the microbiota producing factors have been linked in the progression and development of several different pathologies such as traumatic spinal cord injury (SCI). Little is known about the molecular mechanisms that trigger DCM manifestation, and the potential role of the gut microbiota. <strong>Results: </strong>Herein DCM was induced in female and male C57BL/6 mice by implanting an aromatic polyether material underneath the C5-6 laminae. The extent of DCM-induced changes in microbiota composition, also known as dysbiosis, was assessed by 16S rRNA sequencing from fecal samples at 3 different time points (6, 9 and 12 weeks after DCM induction). Several bacterial members were identified based on BLAST against the largest collection of metagenome-derived genomes from the mouse gut up to date. In both, female and males DCM caused gut dysbiosis compared with the sham group. However, dysbiosis was more pronounced in males than females, where several bacterial members of the families <em>Lachnospiraceae</em> and <em>Muribaculaceae</em> were significantly altered in the DCM group. These changes were also associated with altered immune cell composition in gut-associated lymphoid tissue, blood, and microbe-derived metabolic changes in propionate, butyrate, and lactate-producing bacterial members. <strong>Conclusions: </strong>Our results demonstrate for the first time that DCM causes dynamic changes over time in the gut microbiota. Furthermore, we identify specie-specific abundance changes during DCM progression. DCM strongly reduces the abundance of butyrate-producing bacteria, and lactate-producing bacteria in much less extent. Sequence-based pangenomics cores were not resolved between the latter bacteria, but the gap-filling reactions and metabolic modelling successfully identified pyruvate-to-butanoate and pyruvate-to-propionate genes such as Buk and ACH1, respectively. These results aid to better understand markers and the molecular mechanisms that over time trigger DCM manifestation in females and males.
DOI: 10.5281/zenodo.7497389
title: Degenerative Cervical Myelopathy (DCM) induces sex-specific dysbiosis in the mouse gut bacterial microbiome, altering abundance and function

description: <strong>Background:</strong> Degenerative cervical myelopathy (DCM) represents the commonest cause of spinal cord impairment induced by non-traumatic events in the elderly population. It describes a spectrum of disorders that cause progressive spinal cord compression, neurological impairment, loss of bladder and bowel functions, as well as gastrointestinal dysfunction. The gut microbiota has been increasingly recognized as an environmental factor that can modulate both the central nervous system and immune response through the microbiota-gut-brain axis. Changes in gut microbiota composition or in the microbiota producing factors have been linked in the progression and development of several different pathologies such as traumatic spinal cord injury (SCI). Little is known about the molecular mechanisms that trigger DCM manifestation, and the potential role of the gut microbiota. <strong>Results: </strong>Herein DCM was induced in female and male C57BL/6 mice by implanting an aromatic polyether material underneath the C5-6 laminae. The extent of DCM-induced changes in microbiota composition, also known as dysbiosis, was assessed by 16S rRNA sequencing from fecal samples at 3 different time points (6, 9 and 12 weeks after DCM induction). Several bacterial members were identified based on BLAST against the largest collection of metagenome-derived genomes from the mouse gut up to date. In both, female and males DCM caused gut dysbiosis compared with the sham group. However, dysbiosis was more pronounced in males than females, where several bacterial members of the families <em>Lachnospiraceae</em> and <em>Muribaculaceae</em> were significantly altered in the DCM group. These changes were also associated with altered immune cell composition in gut-associated lymphoid tissue, blood, and microbe-derived metabolic changes in propionate, butyrate, and lactate-producing bacterial members. <strong>Conclusions: </strong>Our results demonstrate for the first time that DCM causes dynamic changes over time in the gut microbiota. Furthermore, we identify specie-specific abundance changes during DCM progression. DCM strongly reduces the abundance of butyrate-producing bacteria, and lactate-producing bacteria in much less extent. Sequence-based pangenomics cores were not resolved between the latter bacteria, but the gap-filling reactions and metabolic modelling successfully identified pyruvate-to-butanoate and pyruvate-to-propionate genes such as Buk and ACH1, respectively. These results aid to better understand markers and the molecular mechanisms that over time trigger DCM manifestation in females and males.
DOI: 10.5281/zenodo.7497394
title: PERTEMUAN 14_02 JANUARY_SISTEM PENGENDALIAN MANAJEMEN ORGANISASI JASA_STIESIA SURABAYA_JAM 6.30-9.00

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa mampu memahami Sistem Pengendalian Manajemen untuk Organisasi Jasa <strong>Indikator</strong><strong> </strong><strong>Pembelajaran Sistem</strong><strong> </strong><strong>Pengendalian</strong><strong> </strong><strong>Manajemen untuk Organisasi</strong><strong> </strong><strong>Jasa</strong><strong> </strong> 1.<strong>Definisi</strong><strong> </strong><strong>Sistem</strong><strong> </strong><strong>Pengendalian</strong><strong> </strong><strong>Organisasi</strong><strong> </strong><strong>Jasa</strong><strong> </strong> 2.<strong>Organisasi</strong><strong> </strong><strong>Jasa</strong> 3.<strong>Organisasi</strong><strong> </strong><strong>Jasa</strong><strong> </strong><strong>Profesional</strong>
description: PERTEMUAN 14_02 JANUARY_SISTEM PENGENDALIAN MANAJEMEN ORGANISASI JASA_STIESIA SURABAYA_JAM 6.30-9.00
DOI: 10.5281/zenodo.7497393
title: PERTEMUAN 14_02 JANUARY_SISTEM PENGENDALIAN MANAJEMEN ORGANISASI JASA_STIESIA SURABAYA_JAM 6.30-9.00

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa mampu memahami Sistem Pengendalian Manajemen untuk Organisasi Jasa <strong>Indikator</strong><strong> </strong><strong>Pembelajaran Sistem</strong><strong> </strong><strong>Pengendalian</strong><strong> </strong><strong>Manajemen untuk Organisasi</strong><strong> </strong><strong>Jasa</strong><strong> </strong> 1.<strong>Definisi</strong><strong> </strong><strong>Sistem</strong><strong> </strong><strong>Pengendalian</strong><strong> </strong><strong>Organisasi</strong><strong> </strong><strong>Jasa</strong><strong> </strong> 2.<strong>Organisasi</strong><strong> </strong><strong>Jasa</strong> 3.<strong>Organisasi</strong><strong> </strong><strong>Jasa</strong><strong> </strong><strong>Profesional</strong>
description: PERTEMUAN 14_02 JANUARY_SISTEM PENGENDALIAN MANAJEMEN ORGANISASI JASA_STIESIA SURABAYA_JAM 6.30-9.00
DOI: 10.5281/zenodo.7497412
title: naso_brevirostris_ragtag_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7497411
title: naso_brevirostris_ragtag_1.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/4794168
title: US counties COVID 19 dataset
DOI: 10.5281/zenodo.7495215
title: Bambu: a simple tool to generate QSAR models from bioassays data

description: Quantitative Structure Activity Relationship (QSAR) is a computational method that allows the estimation of the properties of a molecule, including its biological activity, based on its structure. QSAR models have been widely employed in the search for potential drug candidates, but also for agrochemicals and other molecules with applications on different branches of the industry. Here we present Bambu, a simple command line tool to generate QSAR models from high-throughput screening bioassays datasets. The tool was developed using the Python programming language and relies mainly on RDKit for molecule data manipulation, FLAML for automated machine learning and the PubChem REST API for data retrieval. As a proof-of-concept we have employed the tool to generate QSAR models for melanoma cell growth inhibition based on HTS data and used them to screen libraries of FDA-approved drugs and natural compounds. Based on the developed tool we were able to produce QSAR models and identify a wide variety of molecules with potential melanoma cell growth inhibitors, many of which with anti-tumoral activity already described. The tool is available through the URL http://caramel.ufpel.edu.br. Bambu is an free and open source tool which facilitates the creation of QSAR models and can be futurely applied in a wide variety of drug discovery projects.
DOI: 10.5281/zenodo.7495214
title: Bambu: a simple tool to generate QSAR models from bioassays data

description: Quantitative Structure Activity Relationship (QSAR) is a computational method that allows the estimation of the properties of a molecule, including its biological activity, based on its structure. QSAR models have been widely employed in the search for potential drug candidates, but also for agrochemicals and other molecules with applications on different branches of the industry. Here we present Bambu, a simple command line tool to generate QSAR models from high-throughput screening bioassays datasets. The tool was developed using the Python programming language and relies mainly on RDKit for molecule data manipulation, FLAML for automated machine learning and the PubChem REST API for data retrieval. As a proof-of-concept we have employed the tool to generate QSAR models for melanoma cell growth inhibition based on HTS data and used them to screen libraries of FDA-approved drugs and natural compounds. Based on the developed tool we were able to produce QSAR models and identify a wide variety of molecules with potential melanoma cell growth inhibitors, many of which with anti-tumoral activity already described. The tool is available through the URL http://caramel.ufpel.edu.br. Bambu is an free and open source tool which facilitates the creation of QSAR models and can be futurely applied in a wide variety of drug discovery projects.
DOI: 10.34740/kaggle/dsv/4713746
title: Brain tumor otus segmentation
DOI: 10.5519/qd.66p1n2l4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.21801280
title: LFIA Antibodies Peru

description: Data used for the research article named "Diagnostic performance of lateral flow immunoassays for COVID-19 antibodies in Peruvian population"
DOI: 10.6084/m9.figshare.21801280.v1
title: LFIA Antibodies Peru

description: Data used for the research article named "Diagnostic performance of lateral flow immunoassays for COVID-19 antibodies in Peruvian population"
DOI: 10.5281/zenodo.7497431
title: naso_minor_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7497430
title: naso_minor_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.21227/pemn-g388
title: Mobility-Aware Robust Resource Allocation and Computation Migration in Heterogeneous Virtualized Vehicular Networks by Low Overhead Multi-Agent DRL-based Approach

description: In emerging vehicular networks, delay-sensitive tasks can be processed in real time by offloading tothe edge computing servers. Unlike the legacy scenarios, in this paper a novel data offloading/deliverydecision making framework is proposed, where users have the option to divide their task into severalportions and partially offload their data to a complex multi-access edge computing (MEC) environment,consisting of several MEC servers located on road side units (RSUs), base stations (BSs), and unusedcomputing power in other vehicles and pedestrians. This can increase the reliability and the spectralefficiency, and decrease delay. However, due to high mobility of vehicles, the vehicle-mounted MECservers act as a uncertain payoff for the users, while the local computation server (e.g., RSUs, and BSs)alternatives constitute safe and guaranteed options. Therefore, the offloaded tasks may be migrated toother MEC servers to provide continuous execution. In addition, users’ high mobility and traffic variationcan result in task offloading demand uncertainty and the imperfect channel state information (I-CSI)estimation that lead to difficulties in guaranteeing the quality of service (QoS) for each task. In thispaper, we consider a two-time scale resource management scheme for task offloading with fluctuatedtraffic demands and I-CSI, aiming at minimizing total network cost and delay. We consider a hierarchicalcontrol architecture in our proposed scheme including large time-scale RSU activation/deactivation andshort time-scale resource allocation, and making task offloading decisions. We extend our problem as multi-time scale Markov decision process. Simulation results validate that our proposed task offloadingscheme can increase the task completion rate by 27% and 98% when considering task partitioning andtask migration, respectively. Moreover, considering demand uncertainty, we can achieve more robustsolution by increasing the task completion rate by 42.8%. Finally, we show that considering MADDPG can increase task offloading cost by 45% due to communication overhead between agents.
DOI: 10.15156/bio/sh0781223.10fu
title: SH0781223.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0781224.10fu
title: SH0781224.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0781225.10fu
title: SH0781225.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0781226.10fu
title: SH0781226.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.