cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.01599
title: SMAP/SMOS unified L-band brightness temperature in 2020
title: 2020年SMAP与SMOS融合亮度温度数据集

description: The SMAP/SMOS unified L-band brightness temperature in 2020 product provides daily brightness temperature for the Arctic sea area. A linear regression analysis was performed on SMAP and SMOS using years of data to provide a brightness temperature product with consistent radiation performance. Then the SMOS was modified into SMAP equivalent brightness temperature. The dataset includes the calibrated SMOS brightness temperature and the fusion product. The fusion product consists of the calibrated SMOS brightness temperature and the SMAP brightness temperature data (taking the average of the SMAP and calibrated SMOS brightness temperature). Horizontal and vertical polarization brightness temperature data are provided in Kelvin. The SMAP brightness temperature dataset was produced based on SMAP L1B data (Version 5). The SMOS brightness temperature dataset was produced based on the SMOS L1C data (V724). The average brightness temperature of SMOS satellite at incident angle from 38.5° to 42.5° were used to generate equivalent brightness temperature at incident angle of 40°. The dataset is projected in EASE-Grid 2.0 projection. The dataset is in netCDF4 format and its spatial resolution is 25 km.
description: The SMAP/SMOS unified L-band brightness temperature in 2020 product provides daily brightness temperature for the Arctic sea area. A linear regression analysis was performed on SMAP and SMOS using years of data to provide a brightness temperature product with consistent radiation performance. Then the SMOS was modified into SMAP equivalent brightness temperature. The dataset includes the calibrated SMOS brightness temperature and the fusion product. The fusion product consists of the calibrated SMOS brightness temperature and the SMAP brightness temperature data (taking the average of the SMAP and calibrated SMOS brightness temperature). Horizontal and vertical polarization brightness temperature data are provided in Kelvin. The SMAP brightness temperature dataset was produced based on SMAP L1B data (Version 5). The SMOS brightness temperature dataset was produced based on the SMOS L1C data (V724). The average brightness temperature of SMOS satellite at incident angle from 38.5° to 42.5° were used to generate equivalent brightness temperature at incident angle of 40°. The dataset is projected in EASE-Grid 2.0 projection. The dataset is in netCDF4 format and its spatial resolution is 25 km.
DOI: 10.57760/sciencedb.01601
title: Economic Burden of Major Depressive Disorder: A Case Study in Southern Iran
title: Economic Burden of Major Depressive Disorder: A Case Study in Southern Iran

description: Dataset of study: "Economic Burden of Major Depressive Disorder: A Case Study in Southern Iran" used for describing the cost-of-illness of 563 patients in the period from March to February 2020 on MDD patients hospitalized in Ostad Moharrari and Ibn Sina hospitals.
description: Dataset of study: "Economic Burden of Major Depressive Disorder: A Case Study in Southern Iran" used for describing the cost-of-illness of 563 patients in the period from March to February 2020 on MDD patients hospitalized in Ostad Moharrari and Ibn Sina hospitals.
DOI: 10.6084/m9.figshare.19169378
title: Global distribution of respiratory syncytial virus A and B infections: a systematic review

description: Respiratory syncytial virus (RSV) is the main cause of severe respiratory infections in young children. The need for global epidemiologic data regarding RSV has been increasingly recognized. RSV A infections are reported more frequently than RSV B. Nonetheless, the temporal distribution of infections caused by both RSV groups has not been investigated globally. A systematic review was carried out regarding published studies on RSV A and B epidemiology, as well as RSV G gene ectodomain sequence data available at GenBank. A total of 76,668 [45,990 (60%) RSV A and 30,678 (40%) RSV B] positive samples from 83 countries were identified and included in the analysis. Genotype assignment was obtained in 5,340 RSV A and 2,518 RSV B sequences. Two patterns of RSV circulation were observed: continuous seasons with RSV A predominance and alternate predominance of RSV A and B. These patterns were observed in all regions, but the predominant RSV group seldom coincided in all continents during a given year or season. The most frequently identified RSV A genotype was NA1 (including ON1 viruses) (76.30%), and the most frequently identified RSV B genotype was BA (70.65%). Multiple genotypes circulated simultaneously throughout the evolutionary history of RSV, but genotype diversity decreased after the year 2000. The classification of RSV group and genotype is important for the development of vaccines, as well as to understand viral dynamics. This study displays the global and continental RSV circulation patterns from the first report of human RSV infection until the end of 2020.
DOI: 10.6084/m9.figshare.19169378.v1
title: Global distribution of respiratory syncytial virus A and B infections: a systematic review

description: Respiratory syncytial virus (RSV) is the main cause of severe respiratory infections in young children. The need for global epidemiologic data regarding RSV has been increasingly recognized. RSV A infections are reported more frequently than RSV B. Nonetheless, the temporal distribution of infections caused by both RSV groups has not been investigated globally. A systematic review was carried out regarding published studies on RSV A and B epidemiology, as well as RSV G gene ectodomain sequence data available at GenBank. A total of 76,668 [45,990 (60%) RSV A and 30,678 (40%) RSV B] positive samples from 83 countries were identified and included in the analysis. Genotype assignment was obtained in 5,340 RSV A and 2,518 RSV B sequences. Two patterns of RSV circulation were observed: continuous seasons with RSV A predominance and alternate predominance of RSV A and B. These patterns were observed in all regions, but the predominant RSV group seldom coincided in all continents during a given year or season. The most frequently identified RSV A genotype was NA1 (including ON1 viruses) (76.30%), and the most frequently identified RSV B genotype was BA (70.65%). Multiple genotypes circulated simultaneously throughout the evolutionary history of RSV, but genotype diversity decreased after the year 2000. The classification of RSV group and genotype is important for the development of vaccines, as well as to understand viral dynamics. This study displays the global and continental RSV circulation patterns from the first report of human RSV infection until the end of 2020.
DOI: 10.15151/esrf-es-874806038
title: The Israeli BAG

description: The BAG is quite large with 24 principal investigators covering almost all groups in Israel. The scientific topics are diverse and so different that depicting them in a short Abstract is extremely difficult. In this context BAG members are studying the parameters that govern protein assemblage, structural impacts of signaling processes in different cascades. There are several projects that are directed towards molecular recognition with implementation towards drug design. In addition, we still have the ribosome project and the design of unique antibiotics with specific functional interactions from the mycinamycins family and their resistance related mechanism compared with other macrolides and the photosystem and how it converts light into energy. Since Covid-19 is still a relevant topic as are other viral infections BAG members are and have been involved in the understanding of the infection process and the means to hinder it.
DOI: 10.15151/esrf-es-884300507
title: ITABAG: 3D structures of macromolecules related to human health

description: The ITABAG includes structural biologists from Universities, the National Research Council and Hospital research centres in Italy. The laboratories take advantage of single crystal and small angle X-ray diffraction methods to study the structure-function relationships in various macromolecules. A unifying factor for the vast majority of the macromolecules under study is that they are related to human health, either directly, being human proteins involved in some disease, or indirectly, as proteins expressed by human pathogens and validated as potential pharmacological targets. Other projects investigate basic chemical processes, such as crystal growth, or aim at characterising macromolecules with potential biotechnological applications.
DOI: 10.15151/esrf-es-895888178
title: 3D characterisation of fatigue cracks during torsion experiments
DOI: 10.57760/sciencedb.01542
title: 2020.10.16-SDC2 tests raw data
title: 2020.10.16-SDC2检测原始数据

description: The DNA extracted from fecal samples of subjects was detected by Xiamen aide human sdc2 gene methylation detection kit (fluorescence PCR method), and compared with colonoscopy and / or pathological diagnosis (hereinafter referred to as control method). At the same time, some samples were selected for nucleic acid sequencing. Through the comparison between the test results of the test reagent and the control method, and the determination of the amplification section of the test reagent by Sanger sequencing, the safety and effectiveness of the test reagent in clinical application are verified.
description: The DNA extracted from fecal samples of subjects was detected by Xiamen aide human sdc2 gene methylation detection kit (fluorescence PCR method), and compared with colonoscopy and / or pathological diagnosis (hereinafter referred to as control method). At the same time, some samples were selected for nucleic acid sequencing. Through the comparison between the test results of the test reagent and the control method, and the determination of the amplification section of the test reagent by Sanger sequencing, the safety and effectiveness of the test reagent in clinical application are verified.
DOI: 10.57760/sciencedb.01582
title: The Impact of Fitness Apps on College Students’ Social Anxiety in the New Media Era
title: The Impact of Fitness Apps on College Students’ Social Anxiety in the New Media Era

description: The data includes citation, questionnaire data, structural equation model data and results
description: The data includes citation, questionnaire data, structural equation model data and results
DOI: 10.57760/sciencedb.01596
title: Chinese international research collaboration in business and management
title: Chinese international research collaboration in business and management

description: This folder contains three data files.l The file of ‘A sample of raw data.csv’ includes 1000 data entries of our raw data (our raw data file is large, hundreds of MB, so we provide a small sample). The study sample was extracted from this dataset.l The file of’ ‘Main_model_data.csv” and ‘Rubust_check_data.csv’ are the final sample data after processing the raw data. These two data files are used to complete the statistical test. The variable names in the file are the same as the variable names in the manuscript.
description: This folder contains three data files.l The file of ‘A sample of raw data.csv’ includes 1000 data entries of our raw data (our raw data file is large, hundreds of MB, so we provide a small sample). The study sample was extracted from this dataset.l The file of’ ‘Main_model_data.csv” and ‘Rubust_check_data.csv’ are the final sample data after processing the raw data. These two data files are used to complete the statistical test. The variable names in the file are the same as the variable names in the manuscript.
DOI: 10.57760/sciencedb.01608
title: Arctic sea ice drift dataset(2020.Winter and Spring)
title: 北极冬春海冰漂移数据集(2020)

description: This dataset contains the Arctic sea ice drift data set in winter and spring (2020)1. This dataset obtains the near real-time Arctic sea ice drift vectors through sentinel-1 SAR image and digital image processing algorithm.2. The time range of this dataset is winter and spring in 2020, including from January to may, and includes all sea ice containing areas above 60 ° N.3. All dataset are divided into daily data. The single day data folder contains several CSV files, and each file contains the sea ice drift vector in a certain area.Each CSV file contains a total of six columns: start_ lat、Start_ lon、End_ lat、End_ Lon, azimuth angle, drift distance and INFO.Each row of data represents a sea ice drift vector, in which the first four columns record the starting point longitude and latitude, ending point longitude and latitude of the near real-time vectors, and the fifth column records the drift direction(degree) and drift distance (meters). The INFO column records the image number, imaging time, interval time and detailed spatial range of the CSV file. Wkt format fields.4. The daily data is contained in a folder, with about 300 CSV files per day, and the amount of data per day is 500mb-700mb5. Data storage adopts standard CSV file storage, which can be opened with Excel or any other software supporting CSV format.
description: This dataset contains the Arctic sea ice drift data set in winter and spring (2020)1. This dataset obtains the near real-time Arctic sea ice drift vectors through sentinel-1 SAR image and digital image processing algorithm.2. The time range of this dataset is winter and spring in 2020, including from January to may, and includes all sea ice containing areas above 60 ° N.3. All dataset are divided into daily data. The single day data folder contains several CSV files, and each file contains the sea ice drift vector in a certain area.Each CSV file contains a total of six columns: start_ lat、Start_ lon、End_ lat、End_ Lon, azimuth angle, drift distance and INFO.Each row of data represents a sea ice drift vector, in which the first four columns record the starting point longitude and latitude, ending point longitude and latitude of the near real-time vectors, and the fifth column records the drift direction(degree) and drift distance (meters). The INFO column records the image number, imaging time, interval time and detailed spatial range of the CSV file. Wkt format fields.4. The daily data is contained in a folder, with about 300 CSV files per day, and the amount of data per day is 500mb-700mb5. Data storage adopts standard CSV file storage, which can be opened with Excel or any other software supporting CSV format.
DOI: 10.57760/sciencedb.01627
title: Apple Tree Leaf Disease Segmentation Dataset
title: Apple Tree Leaf Disease Segmentation Dataset

description: All the pictures of apple leaf diseases were collected from four different apple experimental demonstration stations of Northwest University of agriculture and forestry science and technology in Northwest China. These images were taken using glory V10 mobile phone. Apple leaf images with different degrees of disease were taken in the laboratory (about 51.9%) and the real cultivation field (about 48.1%), under different weather conditions and at different times of the day. These diseases include alternating leaf spot, gray spot, brown spot and rust.
description: All the pictures of apple leaf diseases were collected from four different apple experimental demonstration stations of Northwest University of agriculture and forestry science and technology in Northwest China. These images were taken using glory V10 mobile phone. Apple leaf images with different degrees of disease were taken in the laboratory (about 51.9%) and the real cultivation field (about 48.1%), under different weather conditions and at different times of the day. These diseases include alternating leaf spot, gray spot, brown spot and rust.
DOI: 10.57760/sciencedb.01607
title: Monthly precipitation data set with 1 km resolution in China from 1960 to 2020
title: 1960-2020年中国1公里分辨率月降水数据集

description: Precipitation data has high theoretical research and practical application value, and has been widely used in hydrological forecasting, agricultural production, ecological protection and other fields. China has a vast territory with large topographic fluctuations. Most meteorological stations are concentrated in densely populated plain areas, and some areas such as mountainous areas have low station density and lack of precipitation observation data. Therefore, it is necessary to use interpolation method to establish high-precision precipitation data set. This data set is based on the precipitation monitoring data of more than 2400 meteorological stations on the ground from 1960 to 2020, using the climate data spatial interpolation software anusplin4 4 the monthly precipitation interpolation data set with 1km spatial resolution in China from 1960 to 2020 is calculated. After verifying the data set with the collected measured precipitation data in China and the rainfall data in China hydrological Yearbook, and comparing the accuracy with CRU TS 4.05 and the 1km resolution data released by Northwest University of agriculture and forestry science and technology, it is found that this data set has the characteristics of high accuracy, high resolution and long time sequence, and has better scientific research and application potential.
description: Precipitation data has high theoretical research and practical application value, and has been widely used in hydrological forecasting, agricultural production, ecological protection and other fields. China has a vast territory with large topographic fluctuations. Most meteorological stations are concentrated in densely populated plain areas, and some areas such as mountainous areas have low station density and lack of precipitation observation data. Therefore, it is necessary to use interpolation method to establish high-precision precipitation data set. This data set is based on the precipitation monitoring data of more than 2400 meteorological stations on the ground from 1960 to 2020, using the climate data spatial interpolation software anusplin4 4 the monthly precipitation interpolation data set with 1km spatial resolution in China from 1960 to 2020 is calculated. After verifying the data set with the collected measured precipitation data in China and the rainfall data in China hydrological Yearbook, and comparing the accuracy with CRU TS 4.05 and the 1km resolution data released by Northwest University of agriculture and forestry science and technology, it is found that this data set has the characteristics of high accuracy, high resolution and long time sequence, and has better scientific research and application potential.
DOI: 10.57760/sciencedb.01646
title: meta-analysis raw data for peer-review
title: meta-analysis raw data for peer-review

description: dataset for meta-analysis, the data included in this dataset is extracted from published articles.
description: dataset for meta-analysis, the data included in this dataset is extracted from published articles.
DOI: 10.57760/sciencedb.01502
title: reference
title: reference

description: List of 36 reference that use the name Ophiophthalmus as a valid ophiuroid genus name between 1971 and 2021, as evidence of prevailing usage of that name.
description: List of 36 reference that use the name Ophiophthalmus as a valid ophiuroid genus name between 1971 and 2021, as evidence of prevailing usage of that name.
DOI: 10.57760/sciencedb.01544
title: Protective effects of NF-κB inhibitor and continuous perfusion of pulmonary arteries on pulmonary injury in piglets models of deep hypothermia low flow
title: Protective effects of NF-κB inhibitor and continuous perfusion of pulmonary arteries on pulmonary injury in piglets models of deep hypothermia low flow

description: The datasets contained the original data of the manuscript title "Protective effects of NF-κB inhibitor and continuous perfusion of pulmonary arteries on pulmonary injury in piglets models of deep hypothermia low flow". Through this research, we found that PDTC administration together with CPP is more effective in protecting pulmonary function against the DHLF-CPB-induced lung injury in comparison with CPP alone. The mechanisms involve improved oxygenation, and inhibition of inflammatory response and NF-κB signaling pathway. The coupled use of PDTC and CPP represents a novel preventative strategy for DHLF-induced lung injury in infants and neonates undergoing cardiac surgeries
description: The datasets contained the original data of the manuscript title "Protective effects of NF-κB inhibitor and continuous perfusion of pulmonary arteries on pulmonary injury in piglets models of deep hypothermia low flow". Through this research, we found that PDTC administration together with CPP is more effective in protecting pulmonary function against the DHLF-CPB-induced lung injury in comparison with CPP alone. The mechanisms involve improved oxygenation, and inhibition of inflammatory response and NF-κB signaling pathway. The coupled use of PDTC and CPP represents a novel preventative strategy for DHLF-induced lung injury in infants and neonates undergoing cardiac surgeries
DOI: 10.57760/sciencedb.01589
title: Cost Effectiveness Analysis of Home-Based Phototherapy Versus Hospital-Based Phototherapy for Treatment of Neonatal Hyperbilirubinemia in shiraz, Iran
title: Cost Effectiveness Analysis of Home-Based Phototherapy Versus Hospital-Based Phototherapy for Treatment of Neonatal Hyperbilirubinemia in shiraz, Iran

description: Dataset of study: "Cost Effectiveness Analysis of Home-Based Phototherapy Versus Hospital-Based Phototherapy for Treatment of Neonatal Hyperbilirubinemia in shiraz, Iran" used for describe the cost-effectiveness of Home-Based Phototherapy Versus Hospital-Based Phototherapy in the period from March to August 2021 on newborns and hospitalized infants in Zeinabieh and Hafez hospitals as well as home nursing service centers of Avagostar and Parseh.
description: Dataset of study: "Cost Effectiveness Analysis of Home-Based Phototherapy Versus Hospital-Based Phototherapy for Treatment of Neonatal Hyperbilirubinemia in shiraz, Iran" used for describe the cost-effectiveness of Home-Based Phototherapy Versus Hospital-Based Phototherapy in the period from March to August 2021 on newborns and hospitalized infants in Zeinabieh and Hafez hospitals as well as home nursing service centers of Avagostar and Parseh.
DOI: 10.57760/sciencedb.01598
title: Dataset for 16S rRNA genes in solis affected by different biodegradable plastics
title: 不同生物可降解塑料影响下的土壤细菌16S rRNA基因数据集

description: PBAT and PHA were selected as representatives of the biodegradable plastics. The percentage (2.5 and 10%) and aging (or not) were considered as factors driving the shift of soil bacteria community. In addition, a comparable treatment, supplemented with earthworm, was set for the 10% aged PBAT group. Primers 505F (5'-GTGYCAGCMGCCGCGGTAA-3') and 806R (5'-GGACTACNVGGGTWTCTAAT-3') were used to amplify 16 s rRNA genes V3-V4. Purified product were sent to biological company for sequencing. Data quality control and split were conducted to obtain the clean data.
description: PBAT and PHA were selected as representatives of the biodegradable plastics. The percentage (2.5 and 10%) and aging (or not) were considered as factors driving the shift of soil bacteria community. In addition, a comparable treatment, supplemented with earthworm, was set for the 10% aged PBAT group. Primers 505F (5'-GTGYCAGCMGCCGCGGTAA-3') and 806R (5'-GGACTACNVGGGTWTCTAAT-3') were used to amplify 16 s rRNA genes V3-V4. Purified product were sent to biological company for sequencing. Data quality control and split were conducted to obtain the clean data.