cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/x3n27drkbw.1
title: The Roles of Leadership and Social Norms in Health Communication in the Context of COVID-19

description: The whole world has been struggling with the COVID-19 pandemic for almost three
years. Although national and local leaders have often called on the public to comply
with preventive measures through health communication, crowds sometimes violate
precautions and do not adequately follow these calls. We propose that identity
entrepreneurship characteristic of leaders and social norms might play an essential
role in effective health communication. In line with this notion, we investigated the
effects of the leadership and social norm types on complying with preventive
measures, the intention to be vaccinated, and prosocial behavior through a highpowered experiment that focused on the leadership quality (presence/lack of
entrepreneurship), descriptive norm (supportive/obstructive), and injunctive norm
(supportive/obstructive). We found that when supporting injunctive and descriptive
norms are present, people tend to adhere more to preventive measures, get
vaccinated, and engage in pro-social behavior. There was also a significant effect of
the interaction between descriptive and injunctive norms on compliance with preventive
measures. The compliance level was highest when both norm types were supportive,
but the compliance level was lowest when both were obstructive. The effect was
decreased in the discrepant norms condition, where one type of the norm was
supportive and the other obstructive. There is also a significant interaction between
leadership and descriptive norm, indicating when there is an entrepreneur leader and
supportive descriptive norm, compliance with the preventive measure increases. We
discussed the role of leadership and social norms in effective health communication.
DOI: 10.17632/ff2nhrw8g2.1
title: Spontaneous Rupture of Renal Cell Carcinoma in Pregnancy: A Case Report 

description: Renal cell carcinoma is the most common type of malignancy in pregnancy. Rupture of renal cell carci-noma is not uncommon. The diagnosis of renal cell carcinoma is often delayed as the clinical presenta-tion might resemble other pregnancy-related disorders or asymptomatic in most cases and a complete ultrasonographic examination of the abdomen is not a part of the routine obstetric evaluation. We report a rare case with spontaneous rupture of renal cell carcinoma in 20 years old in full-term pregnancy prim-igravida presented by hypertensive disorder and severe abdominal pain with massive retro peritoneum collection, radical nephrectomy was done and the patient life was saved.
DOI: 10.17632/6kd6gb9td7.2
title: Depositional history of the subaqueous delta off the southeastern coast of Korea during the postglacial period

description: These datasets include original data of paper entitle "Depositional history of the subaqueous delta off the southeastern coast of Korea during the postglacial period".

Datasets consist of the following items:
Table 1 - Result data of grain size analysis and water content measurement for core sediments
Table 2 - Result data of GRA density measurement for core sediments
Figure 1 - Sparker(upper) and Chirp(lower) image related to profile of "Figure 3a" within paper
Figure 2 - Sparker(upper) and Chirp(lower) image related to profile of "Figure 3b" within paper
Figure 3 - Sparker image related to profile of "Figure 3c" within paper
Figure 4 - Sparker(upper) and Chirp(lower) image related to profile of "Figure 4" within paper
DOI: 10.17632/xmcg82mx9k.2
title: MonkeyPox2022Tweets: The First Public Twitter Dataset on the 2022 MonkeyPox Outbreak

description: Please cite the following paper when using this dataset:
N. Thakur, “MonkeyPox2022Tweets: The first public Twitter dataset on the 2022 MonkeyPox outbreak,” Preprints, 2022, DOI: 10.20944/preprints202206.0172.v2

Abstract
The world is currently facing an outbreak of the monkeypox virus, and confirmed cases have been reported from 28 countries. Following a recent “emergency meeting”, the World Health Organization is considering whether the outbreak should be assessed as a “potential public health emergency of international concern”, as was done for the COVID-19 and Ebola outbreaks in the past. During this time, people from all over the world are using social media platforms, such as Twitter, for information seeking and sharing related to the outbreak, as well as for familiarizing themselves with the guidelines and protocols that are being recommended by various policy-making bodies to reduce the spread of the virus. This is resulting in the generation of tremendous amounts of Big Data related to such paradigms of social media behavior. Mining this Big Data and compiling it in the form of a dataset can serve a wide range of use-cases and applications such as analysis of public opinions, interests, views, perspectives, attitudes, and sentiment towards this outbreak. Therefore, this work presents MonkeyPox2022Tweets, a dataset of Tweets related to the 2022 monkeypox outbreak that were posted on Twitter since the first detected case of this outbreak on May 7, 2022. The dataset is compliant with the privacy policy, developer agreement, and guidelines for content redistribution of Twitter, as well as with the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management.

Data Description
The dataset consists of a total of 102,452 tweet IDs of the same number of tweets about monkeypox that were posted on Twitter from 7th May 2022 to 26th June 2022 (the most recent date at the time of dataset upload). The Tweet IDs are presented in 5 different files based on the timelines of the associated tweets. The following are the details of these dataset files

Filename: TweetIDs_Part1.txt (No. of Tweet IDs: 13926, Date Range of the associated Tweet IDs: May 7, 2022 to May 21, 2022)
Filename: TweetIDs_Part2.txt (No. of Tweet IDs: 17705, Date Range of the associated Tweet IDs: May 21, 2022 to May 27, 2022)
Filename: TweetIDs_Part3.txt (No. of Tweet IDs: 17585, Date Range of the associated Tweet IDs: May 27, 2022 to June 5, 2022)
Filename: TweetIDs_Part4.txt (No. of Tweet IDs: 19718, Date Range of the associated Tweet IDs: June 5, 2022 to June 11, 2022)
Filename: TweetIDs_Part5.txt (No. of Tweet IDs: 33518, Date Range of the associated Tweet IDs: June 12, 2022 to June 26, 2022)

The dataset contains only Tweet IDs in compliance with the terms and conditions mentioned in the privacy policy, developer agreement, and guidelines for content redistribution of Twitter. The Tweet IDs need to be hydrated to be used.
DOI: 10.17632/vfcdpdfsxy.1
title: Articles used for analysis

description: The list of articles used for analysis in "HRA-as-practice: a systematic literature review"
DOI: 10.17632/hcst3fnryx.1
title: Personality Prediction

description: The data logged files of each participant in the "personality log files.rar". In addition personality data of each participant and the active window analysis data. The participants' data for correlations for the first study.
DOI: 10.6084/m9.figshare.19898002
title: Supplementary Data_Table 1.docx

description: <strong>Study investigating the association between small-scale fisheries, poverty and food security using national household surveys in Malawi, the Republic of Tanzania and Uganda. Table 1.a. Probit regression: estimated marginal effects at the mean distance to water bodies on the probability to be income poor (living below the national poverty line). </strong>
DOI: 10.6084/m9.figshare.19898002.v1
title: Supplementary Data_Table 1a.docx

description: <strong>Study investigating the association between small-scale fisheries, poverty and food security using national household surveys in Malawi, the Republic of Tanzania and Uganda. Table 1.a. Probit regression: estimated marginal effects at the mean distance to water bodies on the probability to be income poor (living below the national poverty line). </strong>
DOI: 10.6084/m9.figshare.19898005
title: Supplementary Data_Table 2.docx

description: <strong>Study investigating the association between small-scale fisheries, poverty and food security using national household surveys in Malawi, the Republic of Tanzania and Uganda. </strong> <strong>Table 1.b. Probit regression: estimated marginal effects at the mean distance to water bodies on the probability to be food insecure poor (households with poor food consumption score).</strong>
DOI: 10.6084/m9.figshare.19898005.v1
title: Supplementary Data_Table 1b.docx

description: <strong>Study investigating the association between small-scale fisheries, poverty and food security using national household surveys in Malawi, the Republic of Tanzania and Uganda. </strong> <strong>Table 1.b. Probit regression: estimated marginal effects at the mean distance to water bodies on the probability to be food insecure poor (households with poor food consumption score).</strong>
DOI: 10.25919/ymw0-vg51
title: Parkes observations for project P1021 semester 2022APRS_02

description: We propose to continue our observations of PSR J1653-4518 and PSR J1812-15, a pair of long spin-period binary pulsars which both show degrees of orbitally-dependent variability. Binary pulsars are valuable objects of scientific study, allowing for multiple applications including tests of gravity, probes of the neutron star equation of state, and fossil records of stellar evolution. Long spin-period pulsars in binary systems are generally much rarer than faster-spinning `recycled’ pulsars, and represent an under-explored region of pulsar binary evolution. This is particularly true of PSR J1812-15, for which only one other pulsar (B1718-19) seems remotely comparable. Based on previous Parkes proposals, our understanding of these pulsars has significantly increased (including the development of a timing solution for PSR J1653-4518), such that we anticipate their publication in early 2022. However, a minimal low-cadence timing campaign is still required to pursue lingering questions regarding both pulsars. For PSR J1812-15, this data is required to address ongoing problems with phase connection, which may be caused by an undiagnosed glitch or other un-modelled timing effect. For PSR J1653-4518, this data is required to maintain phase-connection in support of a multifrequency observing campaign targeting high-frequency emission during the pulsar’s next anticipated eclipse in November 2022 (an effect seen in similar binary systems). These observations will set up additional publishable results beyond the anticipated near-term publications in early 2022.
DOI: 10.6084/m9.figshare.20182043
title: Supplementary Materials

description: This dataset includes Supplementary Figure 1, Table 1 and 2.
DOI: 10.6084/m9.figshare.20182043.v1
title: Supplementary Materials

description: This dataset includes Supplementary Figure 1, Table 1 and 2.
DOI: 10.6084/m9.figshare.19095269
title: A novel carbon-based material recycled from end-of-life tires (ELTs) for separation of organic dyes to understand kinetic and isotherm behavior

description: Within the scope of end-of-life tires (ELTs) management, recovery of tires considering circular economy approach is becoming increasingly important. This study aims to examine the sorptive behavior of methylene blue (MB) and Rhodamine B (RB) dyes from synthetic textile industry discharge with a carbon-based sorbent (CBM) recycled from ELTs as a novel patented method and used for the first time for organic dye removal in the literature. The CBM was characterized by using fourier transform infrared (FTIR) and scanning electron microscopy (SEM) for structural and morphological properties. XRD (X-ray diffraction) and XPS (X-ray photoelectron spectroscopy) analysis were used for phase composition and surface chemistry of CBM. The maximum adsorption capacity of MB and RB on CBM is 681.14 and 85.26 mg/g, respectively. For the reusability of the CBM, the regeneration experiment was carried out and MB and RB removal performance of CBM gradually decreased with increasing adsorption cycles. The results show that it is possible to utilize CBM which in terms of ensuring the reuse of wastes within the scope of industrial symbiosis, as an effective adsorbent in dye removal. This study reduces environmental pollution by converting the end-of-life tires into carbon-based material for water/wastewater treatment provides a “win-win” solution to improve waste management.
DOI: 10.6084/m9.figshare.19095269.v1
title: A novel carbon-based material recycled from end-of-life tires (ELTs) for separation of organic dyes to understand kinetic and isotherm behavior

description: Within the scope of end-of-life tires (ELTs) management, recovery of tires considering circular economy approach is becoming increasingly important. This study aims to examine the sorptive behavior of methylene blue (MB) and Rhodamine B (RB) dyes from synthetic textile industry discharge with a carbon-based sorbent (CBM) recycled from ELTs as a novel patented method and used for the first time for organic dye removal in the literature. The CBM was characterized by using fourier transform infrared (FTIR) and scanning electron microscopy (SEM) for structural and morphological properties. XRD (X-ray diffraction) and XPS (X-ray photoelectron spectroscopy) analysis were used for phase composition and surface chemistry of CBM. The maximum adsorption capacity of MB and RB on CBM is 681.14 and 85.26 mg/g, respectively. For the reusability of the CBM, the regeneration experiment was carried out and MB and RB removal performance of CBM gradually decreased with increasing adsorption cycles. The results show that it is possible to utilize CBM which in terms of ensuring the reuse of wastes within the scope of industrial symbiosis, as an effective adsorbent in dye removal. This study reduces environmental pollution by converting the end-of-life tires into carbon-based material for water/wastewater treatment provides a “win-win” solution to improve waste management.
DOI: 10.5281/zenodo.6775344
title: Large-scale comparison of machine learning algorithms for target prediction of natural products

description: Supplement Materials of the article named "Large-scale comparison of machine learning algorithms for target prediction of natural products".
DOI: 10.5281/zenodo.6779476
title: Large-scale comparison of machine learning algorithms for target prediction of natural products

description: Supplement Materials of the article named "Large-scale comparison of machine learning algorithms for target prediction of natural products".
DOI: 10.5281/zenodo.5916428
title: Large-scale comparison of machine learning algorithms for target prediction of natural products

description: Supplement Materials of the article named "Large-scale comparison of machine learning algorithms for target prediction of natural products".
DOI: 10.5281/zenodo.6779374
title: Main Sequence + Compact Object binary candidates from Gaia DR3 astrometric and spectroscopic excess noise

description: MS+CO systems selected from Gaia DR3 via inferred periods and mass ratios derived from astrometric and spectroscopic errors. The sample is split into a bronze list (significant astrometric and spectroscopic RUWE, mass ratio &gt; 1 and companion mass &gt; 3 Msun). A subset of these is chosen as a silver list (propagating errors on mass ratio and companion mass to deselect systems which are not significantly above the previous criteria) Finally, a gold list is constructed from the subset of the silver list which shows no evidence of being significantly brighter than a single MS star and with no significant excess photometric noise. We include the most relevant Gaia data for the system, as well as our inferred spectroscopic and photometric errors and RUWEs, and the inferred periods and mass ratios. Gaia's DR3 source id, and the ra, dec position are included and thus other Gaia data, or data from other astronomical catalogs, can be found for these systems. The catalog and the underlying methods are explained in more detail in Andrew et al. 2022.
DOI: 10.5281/zenodo.6617543
title: Main Sequence + Compact Object binary candidates from Gaia DR3 astrometric and spectroscopic excess noise

description: MS+CO systems selected from Gaia DR3 via inferred periods and mass ratios derived from astrometric and spectroscopic errors. The sample is split into a bronze list (significant astrometric and spectroscopic RUWE, mass ratio &gt; 1 and companion mass &gt; 3 Msun). A subset of these is chosen as a silver list (propagating errors on mass ratio and companion mass to deselect systems which are not significantly above the previous criteria) Finally, a gold list is constructed from the subset of the silver list which shows no evidence of being significantly brighter than a single MS star and with no significant excess photometric noise. We include the most relevant Gaia data for the system, as well as our inferred spectroscopic and photometric errors and RUWEs, and the inferred periods and mass ratios. Gaia's DR3 source id, and the ra, dec position are included and thus other Gaia data, or data from other astronomical catalogs, can be found for these systems. The catalog and the underlying methods are explained in more detail in Andrew et al. 2022.
DOI: 10.25625/ydu1xt
title: Replication Data for: Real-time non-adiabatic dynamics in the one-dimensional Holstein model: Trajectory-based vs exact methods

description: When referring to this dataset, please cite the corresponding research article (J. Chem. Phys. 156, 234109 (2022); https://doi.org/10.1063/5.0092063) instead of citing this dataset. This dataset includes the data and figure gnuplot-script files necessary to produce all figures for the article "Real-time non-adiabatic dynamics in the one-dimensional Holstein model: Trajectory-based vs exact methods", J. Chem. Phys. 156, 234109 (2022), with the exception of the "Data from Ref. 87"-lines in Fig. 33 and Fig. 34. These two figures include data from Ref. 87, for which we refer to the authors of that reference. The "data" folder includes the data obtained from our simulations with the various methods presented in the article. See the detailed README.txt within that folder for the structure of the data. The "figure_scripts" folder includes all gnuplot figure scripts to produce the figures of the paper (excluding the "Data from Ref. 87"-lines in Figs. 33 and 34). See the contained README.txt in that folder for more details.
DOI: 10.5281/zenodo.6778804
title: EU Crop Store data base template

description: EU Crop Store data base - Data input templates
DOI: 10.5281/zenodo.6778803
title: EU Crop Store data base template

description: EU Crop Store data base - Data input templates
DOI: 10.25919/h492-d691
title: Parkes observations for project P1150 semester 2022APRS_10

description: To date, the only radio pulsars that have been confirmed outside of our Galaxy lie in the Magellanic Clouds, with the LMC being the richer of the two galaxies in terms of pulsar discoveries. However, no millisecond pulsars (MSPs) have yet been discovered in the LMC or anywhere outside of our Galaxy. Since the majority of MSPs reside in binary systems, the discovery and study of MSPs can help us understand LMC binary pulsar evolution and MSP companion characteristics, as well as the different star formation environment of the LMC. We have discovered a number of weak but promising MSP candidates in a survey of the LMC in a high-resolution multibeam survey. Although these candidates have characteristics that suggest they are real, the detections from the survey data are too weak by themselves to definitively state whether they are real or not. Follow-up confirmations are thus required, and the UWL receiver makes such confirmations feasible. We estimate that with the increased sensitivity of the UWL compared to the multibeam system, we can obtain clear confirmation detections with S/N &gt; 10-12 with one-hour integrations per candidate. We propose to confirm 10 of our MSP candidates from the survey with one-hour observations with the UWL system, which totals 10 hr of time requested (plus overhead time for setup, and slew). If these candidates are confirmed, these would be the first extragalactic radio MSPs ever discovered.
DOI: 10.6084/m9.figshare.19786234
title: MAGs and cultured isolate genomes

description: High and medium quality MAGs (136) alongside cultured isolate genomes (22)
DOI: 10.5281/zenodo.6779574
title: Table S1, A Hill Equation for Solid Specific Heat Capacity Calculation

description: Equations for the prediction of Heat Capacity across 53 inorganic solids, technical alloys and refractory ceramics.
DOI: 10.5281/zenodo.6671486
title: Table S1, A Hill Equation for Solid Specific Heat Capacity Calculation

description: Equations for the prediction of Heat Capacity across 53 inorganic solids, technical alloys and refractory ceramics.
DOI: 10.5281/zenodo.6407221
title: Dataset of the article 'Spectroelectrochemistry of water oxidation kinetics in molecular versus heterogeneous oxide iridium electrocatalysts'

description: Dataset of the article 'Spectroelectrochemistry of Water Oxidation Kinetics in Molecular versus Heterogeneous Oxide Iridium Electrocatalysts', https://doi.org/10.1021/jacs.2c02006. Abstract: Water oxidation is the step limiting the efficiency of electrocatalytic hydrogen production from water. Spectroelectrochemical analyzes are employed to make a direct comparison of water oxidation reaction kinetics between a molecular catalyst, the dimeric iridium catalyst [Ir<sub>2</sub>(pyalc)<sub>2</sub>(H<sub>2</sub>O)<sub>4</sub>-(µ-O)]<sup>2+</sup> (<strong>Ir<sub>Molecular</sub></strong>,<strong><sub> </sub></strong>pyalc = 2-(2’pyridinyl)-2-propanolate) immobilized on a mesoporous indium tin oxide (ITO) substrate, with that of an heterogenous electrocatalyst, an amorphous hydrous iridium (<strong>IrO<sub>x</sub></strong>) film. For both systems, four analogous redox states were detected, with the formation of Ir(4+)-Ir(5+) being the potential-determining step in both cases. However, the two systems exhibit distinct water oxidation reaction kinetics, with potential-independent first-order kinetics for <strong>Ir<sub>Molecular</sub></strong> contrasting with potential-dependent kinetics for <strong>IrO<sub>x</sub></strong>. This is attributed to water oxidation on the heterogenous catalyst requiring co-operative effects between neighboring oxidized Ir centers. The ability of <strong>Ir<sub>Molecular</sub></strong> to drive water oxidation without such co-operative effects is explained by the specific coordination environment around its Ir centers. These distinctions between molecular and heterogenous reaction kinetics are shown to explain the differences observed in their water oxidation electrocatalytic performance under different potential conditions.