cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/3hmj-gt46
title: Parkes observations for project P1050 semester 2023APRS_02

description: This is a request for the observation time for the timing campaign of new pulsars discovered in the reprocessing of the low-latitude Galactic plane section of the HTRU-S survey (HTRU-S LowLat) and the Parkes Multibeam Pulsar Survey (PMPS). We have completed 90 % of the HTRU-S LowLat survey and completed zero acceleration PMPS search with GPU-based coherent acceleration search, template bank, and fast folding algorithm pipelines and now have discovered 112 previously unknown pulsars among which 18 were found in the PMPS. Interesting science can usually only be derived from a new pulsar after confirmation, and a follow-up timing campaign is carried out. At least one year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, and spin-down rate, as well as for detecting any unexpected behaviour of the pulsar which might result from emission instabilities. This project is necessary for the timing of several interesting pulsars, including binary pulsars, high DM pulsars, scattered profile pulsars, and bright ones that show emissions in larger bandwidths in the UWL band. Apart from this, finding the nature of a unique binary pulsar system via a dedicated observing campaign is also another goal. The follow-up timing in semester 2023APRS will assist in completing many exciting large-term science goals.
DOI: 10.34740/kaggle/dsv/5679188
title: arXiv Dataset
DOI: 10.18119/n9x31k
title: DNA Damage Response Assemblies Map (DDRAM)
DOI: 10.25919/c275-t989
title: Parkes observations for project P595 semester 2023APRS_03

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.5281/zenodo.7933572
title: WBTmax-China dataset basing on EC-Earth3 simulations (Historical and 4 SSPs scenarios)

description: The WBTmax-China dataset is comprised the NEX-GDDP-CMIP6 dataset (tasmax, huss) and ERA5 dataset (sp) using the algorithm described in Davies-Jones (2008), implemented by Buzan (2015), and ported to Matlab by Dr Robert Kopp (Rutgers, 2016). The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four “Tier 1” greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). This dataThe purpose of this dataset is to provide a set of high resolution, bias-corrected climate change projections that can be used to evaluate extreme heat over China. Due to the data size limit, only monthly maximum WBT and yearly maximum WBT data are provided here. Daily data can also be shared on request (ncao@gdou.edu.cn).
DOI: 10.5281/zenodo.7933571
title: WBTmax-China dataset basing on EC-Earth3 simulations (Historical and 4 SSPs scenarios)

description: The WBTmax-China dataset is comprised the NEX-GDDP-CMIP6 dataset (tasmax, huss) and ERA5 dataset (sp) using the algorithm described in Davies-Jones (2008), implemented by Buzan (2015), and ported to Matlab by Dr Robert Kopp (Rutgers, 2016). The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four “Tier 1” greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). This dataThe purpose of this dataset is to provide a set of high resolution, bias-corrected climate change projections that can be used to evaluate extreme heat over China. Due to the data size limit, only monthly maximum WBT and yearly maximum WBT data are provided here. Daily data can also be shared on request (ncao@gdou.edu.cn).
DOI: 10.34740/kaggle/dsv/5679300
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.7932935
title: Chemical initial and boundary conditions for WRF-Chem

description: Chemical initial and boundary conditions for WRF-Chem in eastern China during 2017.
DOI: 10.6084/m9.figshare.22815575
title: Differentially expressed genes

description: Differentially expressed genes in the roots and leaves of four grafted combinations.
DOI: 10.6084/m9.figshare.22815575.v2
title: Differentially expressed genes

description: Differentially expressed genes in the roots and leaves of four grafted combinations.
DOI: 10.7910/dvn/yzacvy
title: Monkeypox

description: This cross-sectional study used Google Forms to assess the Bangladeshi university students’ KAP regarding monkeypox. The students were invited through emails and social media (e.g., Facebook, Messenger, WhatsApp) between May 31 and June 22, 2022.
DOI: 10.17632/ts8ccxnm7g.1
title: Esas bengali validation

description: Data sheet for esas bengali validation
DOI: 10.17632/c787ftvysg.1
title: Developing alternative text using neural networks for image generation: learning outcomes dataset

description: The dataset contains the results of training future web developers on how to develop alt text for images. The study was carried out in April-May 2023. The Kandinsky 2.1 neural network (https://fusionbrain.ai/diffusion) was used to evaluate the image quality. 17 students prepared alt texts for three photos. The results were evaluated before and after using the neural network. The data set is presented in a Microsoft Excel table on the Alt_Text_Result sheet with the following fields: record number; participant number; photo number; photo alt text; number of characters in alt text; quality assessment of alt text; links to generated images; degree of similarity between generated images and original photos. The original photos are placed on the Alt_Text_Photos sheet. Alternative descriptions are presented in Russian.
DOI: 10.17632/zh5yx6j4xj.1
title: HighPT: A tool for high-pT Drell-Yan tails beyond the standard model

description: HighPT is a Mathematica package for the analysis of high-energy data of semileptonic transitions at hadron colliders. It allows to compute high-pT tail observables for semileptonic processes, i.e. Drell-Yan cross sections, for dilepton and monolepton final states at the LHC. These observables can be calculated at tree level within the Standard Model Effective Field Theory, including the relevant operators up to dimension eight to ensure a consistent description of the cross section including terms of O(Λ^-4) in the cutoff scale Λ. For New Physics models with new mediators that can be resolved at LHC energies, HighPT can also account for the full propagation effects of these new bosonic states at tree level. Using the available data from the high-pT tails in the relevant LHC run-II searches by the ATLAS and CMS collaborations, HighPT can also construct the corresponding likelihoods for all possible flavors of the leptonic final states. As an illustration, we derive and compare constraints on Wilson coefficients at different orders in the Effective Field Theory expansion, and we investigate lepton flavor violation for the S3 leptoquark model. The HighPT code is publicly available at https://highpt.github.io/.
DOI: 10.17632/886f5jvcfy.1
title: 2023 3rd International Conference on Accounting, Auditing and Finance (ICAAF 2023)

description: 2023 3rd International Conference on Accounting, Auditing and Finance (ICAAF 2023) will be held in Perth, Australia during November 20-22, 2023. ICAAF 2023 is sponsored by University of Western Australia, and co-sponsored by University of South Australia and Curtin University. It aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Accounting, Auditing and Finance. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of accounting, auditing and finance.
DOI: 10.17632/7ccgsf9nsy.1
title: Data and Sensory Wheel of Cake and Pastries

description: Data analysis and sensory wheel of cake and pastries in Excel file
DOI: 10.17632/tk4j6w2vyv.1
title: Type IV

description: Type IV CRISPR related original images.
DOI: 10.17632/tk4j6w2vyv.2
title: Type IV-A CRISPR

description: Type IV CRISPR related original images.
DOI: 10.17632/b7vp74y9n6.1
title: The 11th International Conference on Business, Management and Governance (ICBMG 2023)

description: Following the successes of ICBMG 2012 (Hong Kong, China), ICBMG 2013 (Kuala Lumpur, Malaysia), ICBMG 2014 (Las Vegas, USA), ICBMG 2015 (New York, USA), ICBMG 2016 ( San Francisco, USA), ICBMG 2017 (Townsville, Australia), ICBMG 2018 (Perth, Australia), ICBMG 2019 (Perth, Australia), ICBMG 2020 (Perth, Australia), ICBMG 2021 (virtual conference) and  ICBMG 2022 (virtual conference). The 11th International Conference on Business, Management and Governance (ICBMG 2023) will be held in the University of Western Australia, Perth, Australia during November 20-22, 2023.
The conference is sponsored by University of Western Australia and co-sponsored by University of South Australia and Curtin University.
DOI: 10.17632/p8d5bynh3m.1
title: Doctor's Answer Text Dataset in Indonesian Contains Information on Medical Interview Patterns

description: The dataset was collected by extracting data from alodokter.com, an Indonesian website that offers free Online Health Consultation (OHC). This dataset contains a collection of Indonesian health consultation texts from December 8, 2014, to February 28, 2021, with 497,974 raw data. The labelled data contains 500 doctor's answer texts randomly selected from the raw data that were manually annotated by four medical experts using the six medical interview functions in the research article (Doi: https://doi.org/10.4300/jgme-d-13-00072.1): 1. Relationship Building (FR), 2. Gathering Information (GI), 3. Providing Information (PI), 4. Decision Making (DM), 5. Enabling disease- and treatment-related behaviours (EDTRB), 6. Responding to Emotions (RE). The clean dataset contains the pre-processed labelling dataset.
DOI: 10.17632/gc2d8cp982.1
title: Supporting Information for [Timing of India-Asia suturing -evidence from remnant peripheral foreland basin in Xigaze, South Tibet]

description: The Yarlung-Zangpo Foreland Basin System records important information about the initial India-Asia continental collision. In the central-eastern Yarlung-Zangpo Suture Zone (YZSZ), the absence of robust foreland basin system has hindered understanding of the initial timing of India-Asia collision along strike. To address this issue, a remnant foredeep and wedge-top deposits of the foreland basin system are reported from the Tethyan Himalaya sequence and the YZSZ in Xigaze area. The foredeep is defined by the olistostrome of the Zongzhuo Formation, which consists of matrix and blocks including chert, limestone, sandstone and volcanic rocks. Based on the matrix, the Zongzhuo Formation is divided into two units. The lower member is the Zhilong unit composed of black shale and thin layers of siltstone in the matrix. The upper member, the Yongla unit, has distinct red shale or yellow-green siliceous mudstone in the matrix with interbedded siltstone and limestone. The Zongzhuo Formation is dated to 65 - 57 Ma by detrital zircon U-Pb chronology and radiolarian assemblages. In the YZSZ, the Puxia and Jiabi units are interpreted here as wedge-top deposit, consisting of mudstone matrix and exotic blocks such as sandstone, chert and limestone. Sandstone blocks from both units have maximum depositional ages (MDAs) of ca. 65 - 59 Ma. Detrital zircon provenance analysis and trace element data exclude an intra-oceanic arc and point to Gangdese arc and recycled accretionary wedge in the suture zone. Therefore, we proposed that the initial collision between India and Asia occurred at 65 Ma in the central-eastern YZSZ.
DOI: 10.17632/vpgcdwn569.1
title: Supplementary infomation for Low-temperature thermochronology data from the eastern South China Block decipher episodic subduction of the Paleo-Pacific Plate

description: Supplementary information includes supplementary Tables S1–S4.  Tables S1–S3 are (U-Th)/He dating results of standard minerals (Fish Canyon zircon and Durango apatite), zircon samples, and apatite samples, respectively. Table S4 is a compilation of low-temperature thermochronology data (i.e., fission track and U-Th/He ages of zircon and apatite) of the eastern South China Block.
DOI: 10.17632/vpgcdwn569.2
title: Supplementary infomation for Low-temperature thermochronological perspective on geodynamic evolution of the eastern South China Block since Early Mesozoic

description: Supplementary information includes supplementary Tables S1–S4.  Tables S1–S3 are (U-Th)/He dating results of standard minerals (Fish Canyon zircon and Durango apatite), zircon samples, and apatite samples, respectively. Table S4 is a compilation of low-temperature thermochronology data (i.e., fission track and U-Th/He ages of zircon and apatite) of the eastern South China Block.
DOI: 10.17632/vpgcdwn569.3
title: Supplementary infomation for Low-temperature thermochronological perspective on geodynamic evolution of the eastern South China Block since Early Mesozoic

description: Supplementary information includes supplementary Tables S1–S4.  Tables S1–S3 are (U-Th)/He dating results of standard minerals (Fish Canyon zircon and Durango apatite), zircon samples, and apatite samples, respectively. Table S4 is a compilation of low-temperature thermochronology data (i.e., fission track and U-Th/He ages of zircon and apatite) of the eastern South China Block.
DOI: 10.17632/sk9zcvz8vs.1
title: Hibridon: A program suite for time-independent non-reactive quantum scattering calculations

description: Hibridon is a program package to solve the close-coupled equations which occur in the time independent quantum treatment of inelastic atomic and molecular collisions. Gas-phase scattering, photodissociation, collisions of atoms and/or molecules with flat surfaces, and bound states of weakly-bound complexes can be treated. From calculation of the S matrix, integral and differential cross sections, stereodynamic (alignment and steric asymmetry) cross sections, as well as more specialized quantities, such as transport and tensor cross sections, and cross sections between hyperfine levels, and photodissociation amplitudes can be obtained. The program is capable of treating closed-shell systems where the nuclear motion takes place on a single Born-Oppenheimer potential as well as open-shell systems for which the nuclear motion can evolve on several coupled electronic (Born-Oppenheimer) potentials.
DOI: 10.17632/5fxggdsk9p.1
title: dataset for DIB

description: Dataset for Tadipatri Mandal fluoride  enrichment
DOI: 10.17632/5fxggdsk9p.2
title: dataset for DIB

description: Dataset for Tadipatri Mandal fluoride  enrichment
DOI: 10.17632/szjkzv8bj6.2
title: Horn fly transcriptome data of 10 populations from the southern United States Supplementary Data 

description: Pesticide usage for the control of horn flies in livestock has led to resistance in multiple classes of these chemicals.  We sequenced ten populations of horn flies with varying degrees of resistance to study the different pesticide resistance seen among them using Illumina paired-end HiSeq.  De novo assembly of each population’s transcriptome was conducted using the CLC Genomics Workbench 8.0.1 De Novo Assembler and annotation was done using Blast2GO PRO version 5.2.5.  This research was reported in full in Bendele et al. Data in Brief and the supplemental data produced from this manuscript can be found here.

Supplementary File 1
SortMeRNA custom horn fly mitochondrial and ribosomal RNA database created from NCBI sequences to remove most of the overrepresented ribosomal and mitochondrial sequences.

Supplementary Table 1
Preassembly statistics of population and replicate read pairs.

Supplementary Table 2
De novo transcriptome assembly statistics

Supplementary Table 3
Populations BlastX annotations

Supplementary Table 4
Populations InterProScan annotations

Supplementary Table 5
Populations Gene Ontology (GO) annotations

Supplementary Table 6
Top 10 GO terms from each population

Supplementary Table 7
Populations enzyme code annotations
DOI: 10.17632/szjkzv8bj6.3
title: Horn fly transcriptome data of 10 populations from the southern United States Supplementary Data 

description: Pesticide usage for the control of horn flies in livestock has led to resistance in multiple classes of these chemicals.  We sequenced ten populations of horn flies with varying degrees of resistance to study the different pesticide resistance seen among them using Illumina paired-end HiSeq.  De novo assembly of each population’s transcriptome was conducted using the CLC Genomics Workbench 8.0.1 De Novo Assembler and annotation was done using Blast2GO PRO version 5.2.5.  This research was reported in full in Bendele et al. Data in Brief and the supplemental data produced from this manuscript can be found here.

Supplementary File 1
SortMeRNA custom horn fly mitochondrial and ribosomal RNA database created from NCBI sequences to remove most of the overrepresented ribosomal and mitochondrial sequences.

Supplementary Table 1
Preassembly statistics of population and replicate read pairs.

Supplementary Table 2
De novo transcriptome assembly statistics

Supplementary Table 3
Populations BlastX annotations

Supplementary Table 4
Populations InterProScan annotations

Supplementary Table 5
Populations Gene Ontology (GO) annotations

Supplementary Table 6
Top 10 GO terms from each population

Supplementary Table 7
Populations enzyme code annotations

Supplementary Table 8
Populations BlastN annotations
DOI: 10.17632/zy95jvvkf7.1
title: The effect of board characteristics on the efficiency of Russian public companies

description: In the modern world, the board of directors plays a key role in making strategic decisions, monitoring the activities of the executive body and ensuring the effectiveness of the company. One of the most important factors is the characteristics of the members of the board of Directors. The purpose of this dissertation is to study the impact that the characteristics of the board members have on the company's performance indicators. The dissertation research reveals the characteristics of the structure and personal composition of the board of directors that affect the effectiveness of public Russian companies.  To conduct an empirical analysis, data were collected on 100 Russian public companies for 2015-2020 and a regression model with random effects was built. It is shown that the board of directors should be composed of qualified and experienced professionals who can make informed decisions and effectively control the activities of the executive body. The WACC rate adjustment methodology developed in this paper allows us to take into account the influence of the board of directors on the company's value in practice with a profitable valuation approach, which provides a more comprehensive assessment of the company's value.
DOI: 10.17632/p2dhvhcw27.1
title: Pranayama Dataset: A Collection of Breathing Exercise Visuals (Images and Videos) for Health and Wellness

description: The "Pranayama Dataset" is a diverse collection of visuals that features five different pranayama postures, including Anulom Vilom, Brahmari, Chandra Bhedan, Surya Bhedan, and Shitali Pranayama. The dataset contains both correct and incorrect postures images and videos, providing a comprehensive resource for practitioners and researchers alike.

What sets this dataset apart is its diversity in terms of environmental and lighting conditions, as well as the various angles from which the images and videos were captured. This allows users to train machine learning models that can better identify and differentiate between correct and incorrect postures in a wide range of settings.

With a total of 3150 images and 80 videos, this dataset is an invaluable resource for machine learning users looking to develop algorithms that can accurately recognize pranayama postures. The dimensions 256 × 256 of the images provide clear visual demonstrations, making it easy for users to train their models effectively.

Overall, the "Pranayama Dataset" is an essential resource for anyone interested in using machine learning to improve their pranayama practice or for researchers looking to better understand the benefits of breathing exercises for health and wellness.
DOI: 10.17632/p2dhvhcw27.2
title: Pranayama Dataset: A Collection of Breathing Exercise Visuals (Images and Videos) for Health and Wellness

description: The "Pranayama Dataset" is a diverse collection of visuals that features five different pranayama postures, including Anulom Vilom, Brahmari, Chandra Bhedan, Surya Bhedan, and Shitali Pranayama. The dataset contains both correct and incorrect postures images and videos, providing a comprehensive resource for practitioners and researchers alike.

What sets this dataset apart is its diversity in terms of environmental and lighting conditions, as well as the various angles from which the images and videos were captured. This allows users to train machine learning models that can better identify and differentiate between correct and incorrect postures in a wide range of settings.

With a total of 3150 images and 80 videos, this dataset is an invaluable resource for machine learning users looking to develop algorithms that can accurately recognize pranayama postures. The dimensions 256 × 256 of the images provide clear visual demonstrations, making it easy for users to train their models effectively.

Overall, the "Pranayama Dataset" is an essential resource for anyone interested in using machine learning to improve their pranayama practice or for researchers looking to better understand the benefits of breathing exercises for health and wellness.
DOI: 10.17632/dpby7bw28z.1
title: Weather parameters

description: The dataset can be used in forecasting solar irradiance.
DOI: 10.17632/wpz7tr5fvt.1
title: Emotional and Spiritual Wellbeing and Resilience

description: Tables with data set results
DOI: 10.17632/6frg6fd3kb.1
title: Cryptocurrency Trading: A Systematic Mapping Study 

description: Data was downloaded on the 8th of March 2023.
DOI: 10.17632/dg9bbr7rt9.1
title: Supplementary Table S1. Methane emission, nutrient digestibility, and rumen microbiota in Holstein heifers fed 14 different grass or clover silages as the sole feed

description: Composition of rumen bacterial community (% of total sequences) of heifers fed different grass or clover silages, based on 34 dominant genus-level groups (relative abundance ≥1%) within the indicated orders and phyla.
DOI: 10.17632/4bmj29z44v.1
title: Supplementary Figure S1 Methane emission, nutrient digestibility, and rumen microbiota in Holstein heifers fed 14 different grass or clover silages as the sole feed

description: Chart of the experimental design.