A comprehensive dataset of therapeutic peptides on multi-function property and structure information by Baichuan Xiao, Yixiang Zhou, Long Zhao, Haodong Huang, Xuwen Fei, Yong-Biao Zhang

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Evolution Characteristics of China's Big Food Concept Economic Statistics Data Under the Perspective of Food Security by Dafang WU, Quanyan WANG, Shuaishuai JIA

“…Based on agricultural and related industry statistics, as well as household consumption expenditure surveys, food statistics introduce the data framework of big food economy statistics. Based on agriculture, animal husbandry, and fisheries, food production structure statistics and trend analysis are carried out separately. …”
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Integrated Wavelet-Grey-Neural Network Model for Heritage Structure Settlement Prediction by Yonghong He, Pengwei Jin, Xin Wang, Shaoluo Shen, Jun Ma

“…To address the issue of insufficient prediction accuracy in traditional GM(1,1) models caused by significant nonlinear fluctuations in time-series data for ancient building structural health monitoring, this study proposes a wavelet decomposition-based GM(1,1)-BP neural network coupled prediction model. …”
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Field data on diversity and vegetation structure of natural regeneration in a chronosequence of abandoned gold-mining lands in a tropical Amazon forestMendeley Data by Jorge Garate-Quispe, Ramiro Canahuire-Robles, Marx Herrera-Machaca, Sufer Baez-Quispe, Gabriel Alarcón-Aguirre

“…This dataset can be useful for long-term study and monitoring of structure and tree diversity in relatively understudied yet important secondary forests after gold-mining abandonment. …”
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High-Temperature X-Ray Crystal Structure Analysis of Schiff Base Cu(II) and Ni(II) Complexes and Data Statistics by Anna Okui, Rin Tsuchiya, Daisuke Nakane, Takashiro Akitsu, Toby J. Blundell

“…In this study, single crystals of previously reported Schiff base copper (II) (<b>Cu</b>) and nickel (II) (<b>Ni</b>) complexes were synthesized; a structural analysis was performed using data measured at high temperatures, 298 K and 410 K; and CIF and electron density maps were obtained. …”
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Geological structure and reservoir productivity of Pre-Jurassic basement rocks of the Sredne-Nazymskoye oil field (Western Siberia): new data by V. D. Shmakov, N. R. Kaskov, A. A. Bakulin, A. P. Shorokhova

“…The article deals with the development of technology for prospecting and exploration of hydrocarbon deposits in the Pre-Jurassic basement rocks of Western Siberian oil and gas province, as well as approaches to improving the reliability of mapping prospective zones using seismic data. Using the example of the Sredne-Nazymskoye field, the seismogeological aspects of the forecast of oil and gas potential of the Pre-Jurassic complex and the main directions for reducing the uncertainties of the geological structure are shown.…”
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Structure and Monitoring in the Seismic Activation Zone of the Gorlovskaya Depression of the Altai-Sayan Folded Region According to Electrical Resistivity Tomography Data by Nevedrova Nina, Shalaginov Aleksandr Evgen'evich, Shaparenko Il'ya Olegovich, Sanchaa Aydisa, Marinenko Arkadiy Vadimovich

“…The article considers the geoelectric structure of the Gorlovka depression in the area of the transition from its deposits to the Salair ridge, and also analyzes the results of monitoring carried out in 2023 by the electrical resistivity tomography method along a profile intersecting one of the fault structures. …”
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Lithospheric structure in the Baikal–central Mongolia region from integrated geophysical‐petrological inversion of surface‐wave data and topographic elevation by J. Fullea, S. Lebedev, M. R. Agius, A. G. Jones, J. C. Afonso

“…Here, we test an integrated geophysical‐petrological inversion of Rayleigh‐ and Love‐wave phase‐velocity curves for fine‐scale lithospheric structure. The main parameters of the grid‐search inversion are the lithospheric and crustal thicknesses, mantle composition, and bulk density and seismic velocities within the crust. …”
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Three‐dimensional density structure of La Soufrière de Guadeloupe lava dome from simultaneous muon radiographies and gravity data by M. Rosas‐Carbajal, Kevin Jourde, Jacques Marteau, Sébastien Deroussi, Jean‐Christophe Komorowski, Dominique Gibert

“…Here we jointly invert muon data from three simultaneous telescope acquisitions together with gravity data to estimate the three‐dimensional density structure of the La Soufrière de Guadeloupe lava dome. …”
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Analysis of the Spatial Structure of Regional Enterprises and Its Impact on Regional Economic Development Based on the Data Envelopment Analysis Model (DEA) by Lei Wang, Yuan He, Tongwen Wang

“…This paper adopts the data envelopment analysis (DEA) model to conduct an in-depth study and analysis of the spatial structure of regional enterprises and their impact on regional economic development and to apply the analysis of the impact between the two. …”
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Spatial distribution of structural lineaments in the Al-Lith geothermal field, western Saudi Arabia: Remote sensing and aeromagnetic data analysis by Jawad Rafiq, Israa S. Abu-Mahfouz, Konstantinos Chavanidis, Daffa Arrofi, Pantelis Soupios

“…Therefore, this paper aims to delineate the prospective geothermal area, utilizing remote sensing and geophysical (magnetic) data. This research maps the surface and subsurface geological and structural features (faults, fractures, and fold axes) and analyzes their densities using an integrated geological-remote sensing-geophysical investigation. …”
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Mobile Phone Data in Urban Commuting: A Network Community Detection-Based Framework to Unveil the Spatial Structure of Commuting Demand by Qing Yu, Weifeng Li, Dongyuan Yang, Haoran Zhang

“…In this paper, a methodology framework is proposed to describe the spatial structure of commuting demand in a city using mobile phone data. …”
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Remotely Sensing Phytoplankton Size Structure in the Mediterranean Sea: Insights from In Situ Data and Temperature-Corrected Abundance-Based Models by John A. Gittings, Eleni Livanou, Xuerong Sun, Robert J. W. Brewin, Stella Psarra, Manolis Mandalakis, Alexandra Peltekis, Annalisa Di Cicco, Vittorio E. Brando, Dionysios E. Raitsos

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Exploring the influence of circular economy on big data analytics and supply chain resilience nexus: A structural equation modeling approach by Samia Islam, Sanjida Hassan, Sourav Hossain, Tazim Ahmed, Chitra Lekha Karmaker, A.B.M. Mainul Bari

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Individual, household structure, and socioeconomic predictors of COVID-19 testing and vaccination outcomes: a whole population linked data analysis by Nicole Satherley, Andrew Sporle

“…We aimed to identify policy amenable socioeconomic factors associated with COVID-19 outcomes while adjusting for relevant individual factors and household structure. We also aimed to examine whether ethnic group differences are smaller when accounting for these socioeconomic factors and household structure. …”
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Observations of a middle atmosphere thermal structure over Durban using a ground-based Rayleigh LIDAR and satellite data by Nkanyiso Mbatha, Venkataraman Sivakumar, Hassan Bencherif, Sandile Malinga, Sadhasivan Pillay, Ashokabose Moorgawa, Max Michaelis

“…Observations of a middle atmosphere thermal structure over Durban, South Africa (29.9°S, 31.0°E) using the Durban Rayleigh Light Detection and Ranging (LIDAR) data collected over 277 nights from April 1999 to July 2004, including closest overpasses of the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) and Halogen Occultation Experiments (HALOE) satellites, are presented in this paper. …”
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Structure and growth of a Danish research infrastructure and support unit for health research – OPEN (Open Patient data Explorative Network) by Katrine Hass Rubin, Emilie Rosenfeldt Christensen, Janni Brødbaek, Tanja Gram Petersen, Anna Skat Nielsen

“…Methods This paper presents a descriptive case on the structure of the research support unit OPEN (Open Patient data Explorative Network). …”
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Using genome-wide data to ascertain taxonomic status and assess population genetic structure for Houston toads (Bufo [= Anaxyrus] houstonensis) by Shashwat Sirsi, David Rodriguez, Michael R. J. Forstner

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Protein secondary structure determined from independent and integrated infra-red absorbance and circular dichroism data using the algorithm SELCON by Søren Vrønning Hoffmann, Nykola C. Jones, Alison Rodger

“…Protein circular dichroism (CD) and infrared absorbance (IR) spectra are widely used to estimate the secondary structure content of proteins in solution. A range of algorithms have been used for CD analysis (SELCON, CONTIN, CDsstr, SOMSpec) and some of these have been applied to IR data, though IR is more commonly analysed by bandfitting or statistical approaches. …”
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Global residual stress field inference method for die-forging structural parts based on fusion of monitoring data and distribution prior by Shuyuan Chen, Yingguang Li, Changqing Liu, Zhiwei Zhao, Zhibin Chen, Xiao Liu

“…This paper presents a global RSF inference method for the die-forging structural parts based on the fusion of monitoring data and distribution prior. …”
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