cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/98a4-4p32
title: Parkes observations for project P1189 semester 2023APRS_03

description: The solar wind and space weather events have a crucial influence on the solar system, and can present a hazard to space and Earth-based technologies. Understanding the origins of the solar wind and space weather is therefore crucial, so that we can better understand how these events are driven, and to improve space weather prediction efforts. In particular, magnetic structures such as coronal holes, helmet streamers, and prominences in the lower corona are thought to be crucial drivers of the winds and coronal mass ejections (CMEs). However, there are very few observational constraints on the solar wind and space weather events at low solar altitudes (&lt; 20 solar radii), as this region is inaccessible to space probes. In this proposal, we seek to monitor a set of pulsars as they pass within 5.7 degrees of the Sun. We will use the UWL receiver on the Parkes Radio Telescope to make precision measurements of the dispersive group delay and Faraday rotation of the pulses. This will enable us to probe the densities and magnetic fields of the coronal structures driving the wind, and probe $2^{+3}_{-1}$ CMEs as they pass by the pulsars serendipitously. We will tie this information together with complementary efforts to probe the solar wind via interplanetary scintillation, constraints from space probes, and simulations. This will give us an exciting opportunity to form a holistic picture of the solar wind and space weather.
DOI: 10.25919/tvjs-1086
title: Parkes observations for project PX500 semester 2023APRS_20

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5281/zenodo.8174812
title: SAT Competition Benchmark – Trigonometric Functions

description: Benchmark family for the SAT Competition verifying properties of trigonometric function approximations. The implemented functions are sine, cosine and tangent. All three functions are composed of a single partial cosine implementation in the interval [-π/2, π/2] for which three different methods of approximation are provided.
DOI: 10.5281/zenodo.8174811
title: SAT Competition Benchmark – Trigonometric Functions

description: Benchmark family for the SAT Competition verifying properties of trigonometric function approximations. The implemented functions are sine, cosine and tangent. All three functions are composed of a single partial cosine implementation in the interval [-π/2, π/2] for which three different methods of approximation are provided.
DOI: 10.34740/kaggle/dsv/6183682
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.34740/kaggle/dsv/6183695
title: Polish-Ukrainian translations from Tatoeba
DOI: 10.25505/fiz.icsd.cc2gnc3m
title: CSD 2283680: Experimental Crystal Structure Determination

description: Related Article: zewen zuo|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7303/syn51664250
title: Synchronized smartphone, IMU, and walkway data during gait
DOI: 10.5519/qd.768xp0nf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (18659 records)
DOI: 10.5519/qd.kr2rz1v1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5 records)
DOI: 10.5281/zenodo.8176316
title: Global Multi-organizations ERGM

description: Above are the datasets that are used in my essay 'Spatial Characteristics and Determinants of Inter-Organizational Cooperation in the Global Network'.
DOI: 10.5281/zenodo.8176315
title: Global Multi-organizations ERGM

description: Above are the datasets that are used in my essay 'Spatial Characteristics and Determinants of Inter-Organizational Cooperation in the Global Network'.
DOI: 10.6084/m9.figshare.22344934
title: Genome annotation files of <em>O. pyramidale</em>, <em>M. ferrea</em> and <em>T. grandis.</em>

description: The annotation files for Ochroma pyramidale, Mesua ferrea and Tectona grandis
DOI: 10.5281/zenodo.6626267
title: Multi-model Ensemble for Robust Verification of hydrological modeling in Japan (MERV-Jp)

description: MERV-Jp is the dataset of meteorological forcing and multi-model runoff simulation in 135 (ver1.1) / 87 (ver2.0) Japanese basins, and contributes to carrying out a large sample rainfall-runoff simulation in Japan. In addition, MERV-Jp can be used as a benchmark to evaluate user's hydrological modeling. <br> The detailed description of MERV-Jp can be found at "Y. Sawada, S. Okugawa and T. Kimizuka (2022): Multi-model ensemble benchmark data for hydrological modeling in Japanese river basins, Hydrological Research Letters, 16, 73-79" (https://doi.org/10.3178/hrl.16.73).
DOI: 10.5281/zenodo.6626268
title: Multi-model Ensemble for Robust Verification of hydrological modeling in Japan (MERV-Jp)

description: MERV-Jp is the dataset of meteorological forcing and multi-model runoff simulation in 135 Japanese basins.<br> MERV-Jp contribute to carrying out a large sample rainfall-runoff simulation in Japan.<br> In addition, MERV-Jp can be used as a benchmark to evaluate user's hydrological modeling.
DOI: 10.5281/zenodo.7344441
title: Multi-model Ensemble for Robust Verification of hydrological modeling in Japan (MERV-Jp)

description: MERV-Jp is the dataset of meteorological forcing and multi-model runoff simulation in 135 Japanese basins, and contributes to carrying out a large sample rainfall-runoff simulation in Japan. In addition, MERV-Jp can be used as a benchmark to evaluate user's hydrological modeling. <br> The detailed description of MERV-Jp can be found at "Y. Sawada, S. Okugawa and T. Kimizuka (2022): Multi-model ensemble benchmark data for hydrological modeling in Japanese river basins, Hydrological Research Letters, 16, 73-79" (https://doi.org/10.3178/hrl.16.73).
DOI: 10.5281/zenodo.8176305
title: Multi-model Ensemble for Robust Verification of hydrological modeling in Japan (MERV-Jp)

description: MERV-Jp is the dataset of meteorological forcing and multi-model runoff simulation in 135 (ver1.1) / 87 (ver2.0) Japanese basins, and contributes to carrying out a large sample rainfall-runoff simulation in Japan. In addition, MERV-Jp can be used as a benchmark to evaluate user's hydrological modeling. <br> The detailed description of MERV-Jp can be found at "Y. Sawada, S. Okugawa and T. Kimizuka (2022): Multi-model ensemble benchmark data for hydrological modeling in Japanese river basins, Hydrological Research Letters, 16, 73-79" (https://doi.org/10.3178/hrl.16.73).
DOI: 10.3886/e186141v1
title: Decennial U.S. County Population, 1790-1950, Digitized

description: This dataset is a digital compilation of the "Population of States and Counties of the United States: 1790-1990" publication and the "Census U.S. Decennial County Population Data, 1900-1990" resource. It provides population data for U.S. states and counties from the years 1790 to 1950. In addition to the county and state population figures, the dataset also includes the total U.S. population and state population data, as presented in the "Population of States and Counties of the United States: 1790-1990" publication.
description: Population of counties in the United States from 1790 to 1950. Smallest Geographic Unit: County
DOI: 10.5281/zenodo.8176247
title: Learner Perceptions on Gamifying Active Video Watching Platforms (supplementary material)

description: This repository contains supplementary material for "Learner Perceptions on Gamifying Active Video Watching Platforms": Questionnaire.pdf: PDF file containing the survey questions on motivation, experience and perception on gamification. Perception_on_gamification.xlsx: Raw dataset of the survey.
DOI: 10.5281/zenodo.8176246
title: Learner Perceptions on Gamifying Active Video Watching Platforms (supplementary material)

description: This repository contains supplementary material for "Learner Perceptions on Gamifying Active Video Watching Platforms": Questionnaire.pdf: PDF file containing the survey questions on motivation, experience and perception on gamification. Perception_on_gamification.xlsx: Raw dataset of the survey.
DOI: 10.3886/e192867v1
title: English as a Foreign Language Teachers’ Burnout: The Predicator Powers of Self-efficacy and Well-being

description: concerning their emotions. These emotions have the potential to either boost their progress in their profession or hinder their progress, like burnout which may trigger or intensify poor mental health and quit the job. Burnout arises from the intermittent occurrence of emotional distress among English as a foreign language (EFL) educators as they fulfill their professional duties. To shed more light on the issue, it is fundamental to contemplate the teacher's belief in their capabilities, known as self-efficacy, which can reduce the probability of burnout and prevent work-related stress while also promoting beneficial results. Moreover, it has been evidenced that the vital role of educators' well-being is prominent in this procedure. Therefore, the importance of these two constructs concerning the impact they have on teacher burnout was taken into consideration in this study. To achieve this objective, a group of 403 English educators participated in the measurement of the concepts being studied. To scrutinize the causal connections between the variables, a Structural Equation Modeling (SEM) approach was employed. The study showed that teachers' efficacy in their ability to perform their job effectively was responsible for explaining 82 percent of changes in burnout, while their level of well-being played a role in accounting for 42 percent of changes in teachers’ burnout levels. The data disclosed that while every factor independently contributed to burnout, the self-efficacy of the teachers held greater influence as a predictor of burnout in comparison to their well-being. Ultimately, particular academic suggestions are specified.
DOI: 10.5281/zenodo.8174368
title: Continuous waveform data and the catalog of local seismic events in Sichuan

description: Continuous waveform data and the catalog of local seismic events in Sichuan
DOI: 10.5281/zenodo.8174367
title: Continuous waveform data and the catalog of local seismic events in Sichuan

description: Continuous waveform data and the catalog of local seismic events in Sichuan
DOI: 10.6084/m9.figshare.23640270
title: Dataset for "Collocational Pattern of Adjectives in The Lexical Field of Beauty : A Corpus-Based Study"

description: This is a data repository for the following paper: Ariestiawati, N. P. D., Rajeg, G. P. W., & Ediwan, I N. T. (2023). Collocational Pattern of Adjectives in The Lexical Field of Beauty : A Corpus-Based Study. International Journal of Education, Language, Literature, Arts, Culture, and Social Humanities, 1(2), 133–145. https://doi.org/10.59024/ijellacush.v1i2.135 Please cite the above paper and this repository if you use the dataset here. <strong>How to cite this repository:</strong> Ariestiawati, Ni Putu Diahtari; Rajeg, Gede Primahadi Wijaya; Ediwan, I Nyoman Tri (2023). Dataset for "Collocational Pattern of Adjectives in The Lexical Field of Beauty : A Corpus-Based Study". figshare. Dataset. https://doi.org/10.6084/m9.figshare.23640270
DOI: 10.5281/zenodo.8176373
title: Similarity network fusion to identify phenotypes of small for gestational age fetuses

description: Fetal growth restriction (FGR) affects 5-10% of pregnancies, is the largest contributor to fetal death, and can have long-term consequences for the child. Implementation of a standard clinical classification system is hampered by the multiphenotypic spectrum of small fetuses with substantial differences in perinatal risks. Machine learning and multiomics data can potentially revolutionize clinical decision-making in FGR by identifying new phenotypes. Herein, we describe a cluster analysis of FGR based on an unbiased machine-learning method. Our results <em>confirm</em> the existence of two subtypes of human FGR with distinct molecular and clinical features based on multi-omic analysis. In addition, we demonstrated that clusters generated by machine learning significantly outperform single data subtype analysis and biologically support the current clinical classification in predicting adverse maternal and neonatal outcomes. Our approach can aid in the refinement of clinical classification systems for FGR supported by molecular and clinical signatures.
DOI: 10.5281/zenodo.8176372
title: Similarity network fusion to identify phenotypes of small for gestational age fetuses

description: Fetal growth restriction (FGR) affects 5-10% of pregnancies, is the largest contributor to fetal death, and can have long-term consequences for the child. Implementation of a standard clinical classification system is hampered by the multiphenotypic spectrum of small fetuses with substantial differences in perinatal risks. Machine learning and multiomics data can potentially revolutionize clinical decision-making in FGR by identifying new phenotypes. Herein, we describe a cluster analysis of FGR based on an unbiased machine-learning method. Our results <em>confirm</em> the existence of two subtypes of human FGR with distinct molecular and clinical features based on multi-omic analysis. In addition, we demonstrated that clusters generated by machine learning significantly outperform single data subtype analysis and biologically support the current clinical classification in predicting adverse maternal and neonatal outcomes. Our approach can aid in the refinement of clinical classification systems for FGR supported by molecular and clinical signatures.
DOI: 10.6084/m9.figshare.23734398
title: Supplementary material for "The canonical HPA axis facilitates and maintains light adaptive behavior"

description: 1. Supplementary materials (supplementary figures, supplementary tables, and supplementary data) for the manuscript, "The canonical HPA axis facilitates and maintains light adaptive behavior" 2. List of supplementary materials (contains the names of all the supplementary materials) 3. Test data sets (2 csv files to run a test GAM model with these two data sets)
DOI: 10.6084/m9.figshare.23734398.v1
title: Supplementary material for "The canonical HPA axis facilitates and maintains light adaptive behavior"

description: Supplementary materials (supplementary figures, supplementary tables, and supplementary data) for the manuscript, "The canonical HPA axis facilitates and maintains light adaptive behavior"
DOI: 10.6084/m9.figshare.23734398.v2
title: Supplementary material for "The canonical HPA axis facilitates and maintains light adaptive behavior"

description: 1. Supplementary materials (supplementary figures, supplementary tables, and supplementary data) for the manuscript, "The canonical HPA axis facilitates and maintains light adaptive behavior" 2. List of supplementary materials (contains the names of all the supplementary materials) 3. Test data sets (2 csv files to run a test GAM model with these two data sets)
DOI: 10.5281/zenodo.8176384
title: Teleogryllus commodus Physicochemical raw data - Insects MDPI 2023

description: <em>Teleogryllus commodus</em>, one of the insect species evaluated and assessed its dead insect individual component, for its ammonification rate, based on physicochemical attributes.
DOI: 10.5281/zenodo.8176383
title: Teleogryllus commodus Physicochemical raw data - Insects MDPI 2023

description: <em>Teleogryllus commodus</em>, one of the insect species evaluated and assessed its dead insect individual component, for its ammonification rate, based on physicochemical attributes.
DOI: 10.6084/m9.figshare.23732454.v1
title: G003_SupplementaryData1.xlsx

description: Raw data for the paper "Modified Levey-Jennings Chart with Robust Estimator: A Case of Semiconductor Manufacturing Process". Dataset and stastical analysis data.
DOI: 10.5281/zenodo.8176390
title: Hermetia illucens Physicochemical raw data - Insects MDPI 2023

description: <em>Hermetia illucens</em>, one of the insect species evaluated and assessed its dead insect individual component, for its ammonification rate, based on physicochemical attributes.
DOI: 10.5281/zenodo.8176389
title: Hermetia illucens Physicochemical raw data - Insects MDPI 2023

description: <em>Hermetia illucens</em>, one of the insect species evaluated and assessed its dead insect individual component, for its ammonification rate, based on physicochemical attributes.
DOI: 10.5281/zenodo.8176394
title: Tenebrio molitor Physicochemical raw data - Insects MDPI 2023

description: <em>Tenebrio molitor</em>, one of the insect species evaluated and assessed its dead insect individual component, for its ammonification rate, based on physicochemical attributes.
DOI: 10.5281/zenodo.8176393
title: Tenebrio molitor Physicochemical raw data - Insects MDPI 2023

description: <em>Tenebrio molitor</em>, one of the insect species evaluated and assessed its dead insect individual component, for its ammonification rate, based on physicochemical attributes.
DOI: 10.6084/m9.figshare.23734455
title: Dataset underlying the research: Dynamics of early gut microbiome during the first month of life in healthy neonates

description: Stool samples were collected from 28 healthy neonates at three time points: the first-pass meconium, and at 7 and 28 days of age. Illumina sequencing of the V3-V4 region of 16S rRNA was used to investigate gut microbiota profiles.
DOI: 10.18112/openneuro.ds003745.v2.0.2
title: Social Reward Processing and Decision Making in Younger and Older Adults
DOI: 10.34740/kaggle/dsv/6184251
title: BART Ridership
DOI: 10.6084/m9.figshare.23712912
title: Boosting learning achievement in Physics among ugandan form-2 students: Effects of Problem based learning

description: Pretest, Posttest
DOI: 10.6084/m9.figshare.23712912.v2
title: Boosting learning achievement in Physics among ugandan form-2 students: Effects of Problem based learning

description: Pretest, Posttest
DOI: 10.6084/m9.figshare.23712912.v1
title: Research Raw Data and Analysis 12102022 figshare.xlsx

description: Pretest, Posttest
DOI: 10.34740/kaggle/dsv/6181559
title: Meta Kaggle ported to MS SQL SERVER 2022 DATABASE
DOI: 10.6084/m9.figshare.23734044
title: Problem set and raw data for Fig4a

description: Problem set and raw data for Fig4a
DOI: 10.6084/m9.figshare.23734044.v1
title: Problem set and raw data for Fig4a

description: Problem set and raw data for Fig4a
DOI: 10.6084/m9.figshare.23734047
title: Problem set and raw data for Fig4b

description: Problem set and raw data for Fig4b
DOI: 10.6084/m9.figshare.23734047.v1
title: Problem set and raw data for Fig4b

description: Problem set and raw data for Fig4b
DOI: 10.6084/m9.figshare.23734050
title: Problem set and raw data for Fig4c

description: Problem set and raw data for Fig4c
DOI: 10.6084/m9.figshare.23734050.v1
title: Problem set and raw data for Fig4c

description: Problem set and raw data for Fig4c
DOI: 10.6084/m9.figshare.23734053
title: Problem set and raw data for Fig4d

description: Problem set and raw data for Fig4d
DOI: 10.6084/m9.figshare.23734053.v1
title: Problem set and raw data for Fig4d

description: Problem set and raw data for Fig4d
DOI: 10.25612/837.q268ggyk0l3o
title: Residential Real Estate Sales Data (2011-2022) - CTA-Level Extract

description: Housing sales data from the Houston Realtors Information Service, Inc. Includes data aggregated at the Community Tabulation Area level. City of Houston-level data and Harris County-level data are also included for comparison purposes.
DOI: 10.26036/cnp0001860
title: The genome assembly and annotation of Mesua ferrea and Ochroma pyramidale

description: 本项目对铁力木和轻木进行基因组测序、组装和注释。
DOI: 10.26036/cnp0001861
title: The genome assembly and annotation of timber trees

description: 本项目对印度黄檀、非洲桃花心木、大叶桃花心木和柚木进行基因组测序、组装和注释。
DOI: 10.6084/m9.figshare.23734059
title: Problem set and raw data for Fig4e

description: Problem set and raw data for Fig4e
DOI: 10.6084/m9.figshare.23734059.v2
title: Problem set and raw data for Fig4e

description: Problem set and raw data for Fig4e
DOI: 10.6084/m9.figshare.23734059.v1
title: Problem set and raw data for Fig4e

description: Problem set and raw data for Fig4e
DOI: 10.25919/2xqw-zy18
title: Parkes observations for project P1176 semester 2023APRS_04

description: Pulsars and their winds are among nature's most powerful particle accelerators, producing particles with energies up to a few PeVatrons. In addition to high-energy radiation from the magnetosphere, the rotational energy of a neutron star is carried away in the form of magnetized ultra-relativistic pulsar winds. Investigation of pulsar wind nebula (PWN) offers an excellent chance to determine the interaction details of relativistic flows with their surroundings that may never be possible in other classes of source. Our recent analyses of ASKAP observations of Galactic Plane uncovered previously known X-ray PWN CXOU J163802.6-471358 (nicknamed as Potoroo). Recently, we have successfully detected a pulsar candidate associated with Potoroo with Parkes telescope. It is detected at 3 GHz with a dispersion measure of DM = 1553 pc cm-3 and a rotation period of 65.74 ms. Here we propose timing observations for this pulsar with the Parkes Ultra-Wideband Low (UWL) receiver. Through pulsar timing, we will be able to obtain precise measurements of the pulsar position and proper motions, and the spin-down of the pulsar which enables us to independently estimate the age of the system. Long-term timing will also enable us to measure the parallax of the system and search for pulsation at high energies (i.e. X-ray and gamma-ray)
DOI: 10.6084/m9.figshare.23734065
title: Problem set and raw data for Fig4f

description: Problem set and raw data for Fig4f
DOI: 10.6084/m9.figshare.23734065.v1
title: Problem set and raw data for Fig4f

description: Problem set and raw data for Fig4f
DOI: 10.6084/m9.figshare.23734071.v1
title: Problem set and raw data for Fig5d

description: Problem set and raw data for Fig5d
DOI: 10.6084/m9.figshare.23735130
title: <strong>Will herbicide pollution weaken coastal primary production and disturb zooplankton in the food chain?</strong>

description: Two global maps are included in this data set: (1) Geographical distribution of the total concentration of 12 triazine herbicides in typical bays of the world, (2) Geographical distribution of equieffective concentrations of atrazine in typical bays of the world. A zip folder containing an example of risk score calculation is attached together with this data set.
DOI: 10.15151/esrf-es-1118696870
title: BAG Barcelona

description: BAG Barcelona has a long tradition of accessing the ESRF. It is constituted by 10 groups that belong to the Institute of Molecular Biology Barcelona from the Spanish Research Council (IBMB-CSIC), the Institute for Research in Biomedicine (IRB), and the Research Institute from Hospital Santa Creu i Sant Pau (HSCSP-IR). The main subjects of research are protein/DBA complexes, molecular machines, compounds of viruses, molecular mechanisms of proteases, and other enzymes. Recently, a new group (E. Marcos) interested in de-novo designed protein scaffolds has joined the BAG. Our Scientific results strongly rely on the high-quality data and excellent performance and support of ESRF macromolecular crystallography beamlines.