cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jw7w35swtr.2
title: Sedimentary evidence for a period of rapid environmental change in the Yangtze River Delta, China around 150 years ago

description: This dataset includes the grain size and stable isotope of organic carbon measured from two sediments cores (KZ01-A and KZ02), which were collected from the North Channel of Yangtze River mouth. The dataset was used to reconstruct the evolution history of the North Channel and to examine the extreme events including the storm and river flood.
DOI: 10.17632/jf43t395zs.4
title: Survey on Vietnamese Student's Academic Perfectionism

description: "Student's Academic Perfectionsim" is a dataset capturing the academic perfectionism of  upper secondary Vietnamese students. This dataset gathered 2930 observations from February to March, 2020. Specifically, this dataset emphasizes five aspects: (i) The demographic information of  students; (ii) The level of students’ perfectionism; (iii) Student's  believe in school meritocracy; (iv) Student's competitiveness among students and (v) Their intrinsic motivation towards the achievement.
DOI: 10.17632/m8ks8pkpcw.1
title: Response statistics of monopile OWT to fully nonstationary seismic motion

description: The data shows the MATLAB file and the results in the numerical studies. The  folder "MATLAB_2exponential" gives the computation of response EPS and mean square values of the monopile OWT under 2-exponential modulated Kanai-Tajimi seismic motion, by the proposed method and Monte Carlo simulations (Case 1 in the numerical studies). The  folder "MATLAB_gamma" gives the computation of response EPS and mean square values of the monopile OWT under gamma modulated Kanai-Tajimi seismic motion, by the proposed method and Monte Carlo simulations (Case 2 in the numerical studies).  The  folder "MATLAB_gamma_prony" gives the computation of response EPS and mean square values of the monopile OWT under gamma modulated Kanai-Tajimi seismic motion, by the proposed method and Monte Carlo simulations, but the gamma model with non-integer coefficient  (Case 3 in the numerical studies).  The  folder "MATLAB_fullynonstationary" gives the computation of response EPS and mean square values of the monopile OWT under fully nonstationary seimic motion, by the proposed method and Monte Carlo simulations (Case 4 in the numerical studies).
DOI: 10.17632/smxx66mkdm.1
title: Thresholds learning of three-way decisions in pairwise crime linkage

description: The similarity of crime pairs on different attributes used in thresholds learning of three-way decisions in pairwise crime linkage.
DOI: 10.17632/4z4mypck9b.3
title: Inter-residue distances surrounding the ligand data sets using MANORAA

description: Distances measured between distinctive parts of amino acid residues surrounding the ligand.
DOI: 10.17632/p36889bm4w.1
title: Dataset on Factors Affecting Social Media Use among School Principals for Educational Leaderships

description: This dataset was presented to explore the relationships between predictors of an extended theory of acceptance model regarding social media use for educational leadership. Variables, namely subjective norms, supporting conditions, attitudes, perceived ease of use, perceived usefulness, and use of social media, were involved
DOI: 10.17632/4frtdtxsk9.2
title: The 10-m crop maps for four major crops across 10 EU countries in 2018-2019

description: This dataset provides the 10-m crop maps for four major crops (maize, rapeseed, winter, and spring Triticeae crops) across 10 EU countries from 2018 to 2019.

*** The data file is in “.tif" format

*** Spatial extent: 10 EU countries

*** Temporal Resolution: Yearly

*** Pixel size: 10 m

*** Projection information: EPSG: 4326

*** CropType: The raster values range from 1-5, represent other land covers (e.g., sugar beet, potato, sunflower, grassland), maize, winter Triticeae crops (i.e., winter wheat, winter barley, winter rye), rapeseed, and spring Triticeae crops (i.e., spring wheat, spring barley, spring oat), respectively.  The raster values of 0 indicate nodata.

*** Year: Values from 2018 to 2019
DOI: 10.17632/n862rtfr5b.1
title: testAssis

description: students' performance
DOI: 10.17632/mnrvyvt8bs.1
title: Precise exogenous insertion and sequence replacements in poplar by simultaneous HDR overexpression and NHEJ suppression using CRISPR-Cas9

description: The Fastq of Sanger sequencing alignments from each experiment events.
NC_037302.1_Chromosome LGXVIII_Locus = POPTR_0018s05420g
DOI: 10.17632/x3jbtstc25.1
title: EEG Features Extraction from Bands Delta, Theta, Alpha, Beta and Gamma.

description: The hypothesis that will allow us to show our data is to classify the EEG signals related to real movements of the left hand, right hand, both hands, both feet, and relaxation. Each of the different files shows different features extracted from the various frequency bands composed of the EEG signals. The extracted features are pitch, level, and statistical measurements from the Delta, Theta, Alpha, Beta, and Gamma bands. Each of the samples presented in the different data sets is labeled with their respective classes to facilitate the training of the machine learning algorithms
DOI: 10.17632/969b2ybwrj.1
title: Environmental SDG

description: Environmental SDGs
DOI: 10.17632/dy4dxhhf6x.1
title: Holocene sediment accumulation on the Bohai Sea: depocenters, sediment sources, and oceanic and tectonic influences

description: The Holocene sediment centers on continental shelves recorded rich information that have great value for revealing the shelf sea environment, climate change and human activities. Different from most shelf seas, the Bohai Sea is a highly enclosed sea with unique geologic setting, which make it as an ideal place to study river sediment dispersion, transport and deposition on the shelf. However, it is still unclear whether there are depocenters in the Bohai Sea, and if there are, what factors control their formation and development. In this paper, we used these data to clarify the Holocene sediment centers and the sediment budget. we identified four large Holocene sediment centers on the Bohai Sea, which account for more than ~36% of the total amount of sediments. The formation and development of these Holocene sediment centers were controlled by tectonic movements and oceanic dynamics. The Holocene sediments on the Bohai Sea shelf mainly come from the surrounding rivers, especially from the Yellow River, and partially from the Bohai Strait area (~23%). The preliminary estimate shows that approximately half of the sediments dispersed from the estuaries were preserved on the Bohai Sea shelf, and the rest were transported to the Yellow Sea.

The unit of the thickness is meter and the cell is 500m*500m.  Data format is as follows: 
  Longitude                          Latitude              thickness
117.7677836 	       38.6716941 	  8.54
117.7677836 	       38.6761964 	  8.46
The unit of the thickness is cm/ka and the cell is 500m*500m.  Data format is as follows: 
  Longitude                          Latitude              sedimentary rate
117.7677836 	       38.6716941 	    94.90 
117.7677836 	       38.6761964 	    94.04
DOI: 10.17632/n5hdrj7hk4.1
title: Supplementary data for manuscript: "Co-existing neuropeptide FF and gonadotropin-releasing hormone 3 coordinately modulate male sexual behavior"

description: Animals properly perform sexual behaviors by using multiple sensory cues. However, neural mechanisms integrating multiple sensory cues and regulating motivation for sexual behaviors remain unclear. Here, we focused on peptidergic neurons, terminal nerve gonadotropin-releasing hormone neurons, and analyzed its functions.  This dataset includes supplementary information for manuscript: "Co-existing neuropeptide FF and gonadotropin-releasing hormone 3 coordinately modulate male sexual behavior".
DOI: 10.17632/x948kyy7jh.1
title: Implementing a neural network interatomic model with performance portability for emerging exascale architectures

description: The two main thrusts of computational science are increasingly accurate predictions and faster calculations; to this end, the zeitgeist in molecular dynamics (MD) simulations is pursuing machine learned and data driven interatomic models, e.g. neural network potentials, and novel hardware architectures, e.g. GPUs. Current implementations of neural network potentials are orders of magnitude slower than traditional interatomic models and while looming exascale computing offers the ability to run large, accurate simulations with these models, achieving portable performance for MD with new and varied exascale hardware requires rethinking traditional algorithms, using novel data structures, and library solutions. We re-implement a neural network interatomic model in CabanaMD, an MD proxy application, built on libraries developed for performance portability. Our implementation shows significantly improved thread scaling in this complex kernel as compared to a current LAMMPS implementation, across both strong and weak scaling. Our single-source solution enables simulations up to 20 million atoms on a single CPU node and 4 million atoms with improved performance on a single GPU. We also explore parallelism and data layout choices (using flexible data structures called AoSoAs) and their effect on performance, seeing up to ∼50% and ∼5% improvements in performance on a GPU by choosing the right level of parallelism and data layout respectively.
DOI: 10.17632/3wr9mgm2b6.1
title: A Chinese host genetic study discovered IFNs and causality of laboratory traits on COVID-19 severity ,A study of Zhu et al

description: Supplementary Tables from the study: one-sample and two-sample Mendelian randomization studies of white blood cell counts (WBC) and low-density lipoprotein cholesterol (LDL-C) on COVID-19 susceptibility and severity with summary statistics obtained from East Asian and European populations, two-sample reverse Mendelian randomization studies with exposure variable as COVID-19 disease and outcome variable as WBC and LDL-C. In details,
Table S1. Seven top SNP-trait significant associations and the corresponding one-sample and two-sample MR results with COVID-19 severity obtained from our dataset, related to Figure 4.
Table S2. Two-sample MR results with SNP-exposure summary statistics from our dataset and SNP-outcome summary statistics from HGI database, related to Figure 4.
Table S3. Two-sample MR results based on one WBC-associated SNP in gene HLA-C from an EAS study and SNP-outcome summary statistics from HGI database, related to Figure 5.
Table S4. Summary statistics of a list of WBC-related SNPs in an EAS population and their associations in HGI and the corresponding two-sample MR results, related to Figure 5.
Table S5. Two-sample MR results based on one LDL.C-associated SNP in gene ApoE from an EAS study and SNP-outcome summary statistics from HGI database, related to Figure 5.
Table S6. Summary statistics of a list of LDL.C-related SNPs in an EAS population and their associations in HGI and the corresponding two-sample MR results, related to Figure 5.
Table S7. Two-sample MR results based on one WBC-associated SNP in gene HLA-DPA1/HLA-DPB1 from an EUR study and SNP-outcome summary statistics from HGI database, related to Figure 5.
Table S8. Summary statistics of a list of WBC-related SNPs in an EUR population and their associations in HGI and the corresponding two-sample MR results, related to Figure 5. 
Table S9. Two-sample MR results based on one LDL.C-associated SNP in gene ApoE from an EUR study and SNP-outcome summary statistics from HGI database, related to Figure 5.
Table S10. Summary statistics of a list of LDL.C-related SNPs in an EUR population and their associations in HGI and the corresponding two-sample MR results, related to Figure 5.
Table S11. Summary statistics of a list of COVID19-related SNPs from the HGI database and their associations with WBC in our dataset and the corresponding two-sample MR results, related to Table 3.
Table S12. Summary statistics of a list of COVID19-related SNPs from the HGI database and their associations with LDL-C in our dataset and the corresponding two-sample MR results, related to Table 3.
Table S13. Summary statistics of a list of COVID19-related SNPs from the HGI database and their associations with WBC in an UKBB study and the corresponding two-sample MR results, related to Table 3.
Table S14. Summary statistics of a list of COVID19-related SNPs from the HGI database and their associations with LDL-C in an UKBB study and the corresponding two-sample MR results, related to Table 3.
DOI: 10.17632/xfdn2vvvyn.1
title: Geochemical and isotopic data of subtropical Northwest Pacific sediment core (C1-MC1601)

description: Several geochemical and isotopic indicators were detected along the sediment core C1-MC1601, which was collected from subtropical Northwest Pacific. This dataset contains Tdata of age, Ti, Cu, Zn, Ba, total organic carbon (TOC), total nitrogen (TN), organic carbon and nitrogen isotopic composition (δ13C, δ15N),  biogenic silica, specific activity of 230-Th and 226-Ra, median grain size (D50),  eolian flux (F-eolian), mass accumulation rate of biogenic silica (MAR-BSi) and the deposition flux of excess Ba after correction for diffusion (F-exess Ba) of each sediment layer. Using this data, reliability of these indicators was assessed, and appropriate indicators were used to reconstruct the paleo-oceanographic environment of this region.
DOI: 10.17632/7h57864sf5.1
title: Green synthesized zinc oxide nanoparticles induces apoptosis and autophagy by suppressing P13K/AKT/mTOR signaling pathway in osteosarcoma MG63 cells 

description: The goal of this investigation was to assess the apoptosis and autophagy inducing pathway of zinc oxide nanoparticles (ZnO NPs) stabilized from Solanum xanthocarpum plant extract on human osteosarcoma MG63 cells. The ZnO NPs were evaluated using UV spectroscopy, X-ray diffraction (XRD), transmission electron microscopy (TEM), energy dispersive X-ray (EDX), and Fourier transform infrared (FTIR) techniques. The ZnO NPs induced cytotoxicity on MG63 cells was scrutinized by MTT assay, and Real Time-PCR analyzed apoptotic markers expression.  The results showed that ZnO NPs treatment stablized concentration-dependent toxicity, increased lipid peroxidation (LPO), reduced activity of antioxidants, augmented ROS production, and reduced MMP. The ZnO NPs treatment downregulated Bcl-2 expression, however, activated the expression of p53, Bax, Caspase-3,8&9 apoptotic members in MG63 cells. Moreover, the ZnO NPs treatment significantly inhibited the P13K/AKT/mTOR signaling pathway and induced the LC3 and beclin-1 expression in MG63 cells. Consequently, ZnO NPs induced apoptosis and autophagy by modulating apoptotic and autophagy-related biomarkers. As a result, with a suitable clinical trial, S. xanthocarpum stabilized ZnO NPs could be used to treat osteosarcoma.
DOI: 10.17632/335vpkktm3.1
title: Proactive eco-innovation and firm financial progression dataset

description: Data presented in this file comprises of 31 energy firms from Bursa Malaysia for the year of 2015 and 2019. Panel data associated with eco-innovation proactiveness and firm financial progression which were collected from three different sources such as company’s websites, annual reports and sustainability reports using content analysis. For data collection, an index was adapted comprising 5 dimensions of eco-innovation named as product, process, technology, organizational and marketing. In addition to that, Tobin’s Q was considered as a proxy dimension for firm financial progression because it considers both market value as well as the book value.
DOI: 10.17632/5s94hzt5cx.1
title: INMET data - "Intensification of heatwaves by soil moisture–atmosphere coupling in Southeast Brazil"

description: Time series of Daily Maximum Temperature values from two meteorological stations from INMET (Brazilian National Institute of Meteorology) located in São Paulo and Curitiba.
DOI: 10.17632/3cs85wd3gb.2
title: Dataset on Woody Aboveground Biomass, Disturbance Losses, and Wood Density from an African Savanna Ecosystem

description: This dataset comprises raw and processed data from two tree inventories in savanna and savanna woodland vegetation along elephant disturbance gradients in Zambezi Region, Namibia. The recorded individuals represent all age classes and damage levels (including gullivers) and were classified accordingly into nine growth classes. The raw data contains allometric/dendrometric proxies (height, canopy diameters, and stem circumferences for stems > 15cm at the base) which were recorded for n = 6,179 woody individuals in 60 plots (each 0.1 ha). Wood samples were taken to measure specific wood density (SWD) for each recorded species. SWD measurements and raw data have been used to estimate aboveground biomass (AGB) per individual via allometric models. 

Existing methodologies and workflows had to be improved to account for damages and diverse vegetation structure as shaped by disturbance impacts. In addition to standing biomass, our proposed method also delivered data on biomass losses to respective disturbance agents (elephants, fire, and others) for each individual. For a subset of tree individuals (n = 288), which fulfilled the minimum requirements to be assessed with conventional methods, the aboveground biomass was re-estimated with a standard procedure to allow for a method comparison. 

The processed data comprises living AGB on individual and unit per area basis as determined with two competing methods (conventional vs our proposed). The proposed method further delivered data on pre-disturbance AGB and AGB losses to major disturbance agents. For a description of biomass partitions also see detailed legend within the Data file.

Our research hypothesis was that increasing elephant densities decrease woody aboveground biomass (AGB) and increase elephant-mediated AGB losses along the disturbance gradient. Findings from the data presented here support this hypothesis. Furthermore, increasing elephant densities seem to decrease fire disturbance impacts along the same gradient. These trends can be demonstrated for two different vegetation types (savanna & savanna woodland). A comparison between the conventional standard method and our improved proposed methodology highlights the importance of suitable sampling strategies and protocols for determining biomass and carbon storage in highly disturbed dryland ecosystems. The conventional method over-estimated biomass in large but disturbed trees, while simultaneously under-estimating total biomass on a unit per area basis through omission of all smaller trees, shrubs, and highly damaged woody individuals (gullivers).
DOI: 10.17632/pdh4c9cbd9.2
title: El español de América Central

description: Изучение испанского языка в Центральной Америке имеет свою историю, которую можно разделить на 2 этапа. I этап традиционно датируется концом XIX века. II этап начинается со второй половины XX века. Можно выделить и III тенденцию в развитии лингвистических учений в Центральной Америке.
DOI: 10.17632/s3jndpz3py.1
title: Model output about the misalignment between wind stress and wind on an idealized tropical cyclone 

description: Based on an atmosphere-wave coupled system, numerical simulations are conducted to explore the effect of the misalignment angles between wind stress and wind vectors on an idealized tropical cyclone.
DOI: 10.17632/b2sjykvfgy.1
title: Survey data on livelihood assets, activities and outcomes of smallholder farm households in China’s Loess Plateau

description: This data article provides a selection of quantitative data from a questionnaire survey on livelihood assets, activities and outcomes of smallholder farm households in Yan’he Township which lies in the middle part of China’s Loess Plateau, one of the representative Grain for Green Project (GGP) areas[1]. Data include land-use decisions and agronomic practices, fertilization, use of pesticides, machine and irrigation, farm and nonfarm activities, financial performance as well as the levels of household income, wellness, and total consumption of food, energy, education and health care. The survey also covered geographical, demographic and socioeconomic background information on the respondents and their perceptions, incentives, propensities and subjective wellbeing. The survey has supported a couple of research articles that build indicators and indexes for economic, environmental and socio-cultural sustainability dimensions and the resilience building of coupled social-ecological systems (SES).
DOI: 10.17632/v2k2jvjwrh.1
title: Find Ideal Location for Business in Bangladesh

description: The dataset has 21 columns that carry the features (questions) of 988 respondents. The efficiency of any machine learning model is heavily dependent on its raw initial dataset. For this, we had to be extra careful in gathering our information. We figured out that for our particular problem, we had to go forward with data that was not only authentic but also versatile enough to get the proper information from relevant sources. Hence we opted to build our dataset by dispatching a survey questionnaire among targeted audiences. Firstly, we built the questionnaire with inquiries that were made after keen observation. Studying the behavior from our intended audience, we came up with factual and informative queries that generated appropriate data. Our prime audience were those who were highly into buying fashion accessories and hence we had created a set of questionnaires that emphasized on questions related to that field. We had a total of twenty one well revised questions that gave us an overview of all answers that were going to be needed within the proximity of our system. As such, we had the opportunity to gather over half a thousand authentic leads and concluded upon our initial raw dataset accordingly.
DOI: 10.17632/gzf44vc7cr.1
title: Process-Dependent Solute Transport in Porous Media - Experimental Dataset

description: These datasets are the experimental BTCs for both homogenous and heterogeneous samples for loading and unloading experiments.
DOI: 10.17632/bcvxm9p3nx.1
title: Surface Modification of Boron Nitride Nanosheets

description: This work reveals the surface modification of Boron Nitride nanosheets and its effect on thermo-physical properties in its nanofluids.
DOI: 10.17632/hjvrcxfsj6.1
title: PSE-related articles from WOS

description: Papers downloaded from WOS (Web of Science) according to research needs.
DOI: 10.17632/3sp4d3sdkt.1
title: daspro

description: students' achievement
DOI: 10.17632/f9d5958nbp.1
title: Measuring radiofrequency fields in NMR spectroscopy using offset-dependent nutation profiles

description: 13C and 15N pulse sequence used to acquire data published in the article titled 'Measuring radiofrequency fields in NMR spectroscopy using offset-dependent nutation profile',  Journal of Magnetic Resonance, July 2021
DOI: 10.17632/hpxkp44kpd.1
title: Data for Byz Economic Growth and Climate Change paper

description: Data file for Byzantine Economic Growth: Did Past Climate Change Play a Role?
DOI: 10.17632/t5ggtjht85.1
title: EAESE: A historical dataset on the Spanish secondary education system, 1877-1878

description: EAESE is a historical educational dataset that collects statistical information on the secondary education educational system in Spain in the academic year 1877-1878 as published by the public administration of the time, in an initiative to disseminate educational statistics that was unparalleled at any other time of the century. The dataset includes information on students’ performance by subjects as well as academic and financial information of all Spanish high schools. In addition, it includes an account of all students who obtained a prize or a praise in a specific subject and those who obtained their title (Bachillerato) during that academic year.
DOI: 10.17632/fwt6kzypmr.1
title: An evaluation of the sub-national difference in inclusive wealth sustainability in Africa

description: Output data for An evaluation of the sub-national difference in inclusive wealth sustainability in Africa.