cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.01122
title: Temperature and Salinity from underwater glider observation in South China Sea
title: 水下滑翔机在南海观测的温度、盐度数据

description: To study the intrusion of the North Pacific waters into the South China Sea via Luzon Strait, the Sea-Wing underwater glider was used to conduct a high-resolution sampling in the South China Sea during April to June 2015. The North Pacific Intermediate Water (NPIW), with its core salinity of 34.35-34.40 ‰, distributed in the range of 350-500 m in depth and 26.5-26.8 kg·m-3 in potential density. The Kuroshio Water (KW), with its core potential temperature of 20.0-24.8 ℃ and core salinity of 34.70-34.85 ‰, located in the range of depth of 70-150 m and density of 23.5-24.5 kg·m-3.
description: To study the intrusion of the North Pacific waters into the South China Sea via Luzon Strait, the Sea-Wing underwater glider was used to conduct a high-resolution sampling in the South China Sea during April to June 2015. The North Pacific Intermediate Water (NPIW), with its core salinity of 34.35-34.40 ‰, distributed in the range of 350-500 m in depth and 26.5-26.8 kg·m-3 in potential density. The Kuroshio Water (KW), with its core potential temperature of 20.0-24.8 ℃ and core salinity of 34.70-34.85 ‰, located in the range of depth of 70-150 m and density of 23.5-24.5 kg·m-3.
DOI: 10.57760/sciencedb.01124
title: Experimental Data of Limestone Under Cyclic Loading
title: Experimental Data of Limestone Under Cyclic Loading

description: These data can be used for energy evolution calculation, damage evolution calculation, constitutive parameter calculation and validation. D samples are mainly affected by the number, prefabricated cracks and the microscopic structure. With different applied loads, the internal structural deformation and crack propagation of the samples show significant nonlinear.
description: These data can be used for energy evolution calculation, damage evolution calculation, constitutive parameter calculation and validation. D samples are mainly affected by the number, prefabricated cracks and the microscopic structure. With different applied loads, the internal structural deformation and crack propagation of the samples show significant nonlinear.
DOI: 10.57760/sciencedb.01148
title: Supplementary materials for "Chloroplast Genomes Insight to Evolution and Origin of Primula obconica（Primulaceae）"
title: Supplementary materials for "Chloroplast Genomes Insight to Evolution and Origin of Primula obconica（Primulaceae）"

description: Those data were Supplementary materials for "Chloroplast Genomes Insight to Evolution and Origin of Primula obconica（Primulaceae）", These data are open access.Figure S1. The presence of simple sequence repeats (SSRs) in the P. obconica subsp. obconica chloroplast genomes. (A) The number of repeats types; (B) Frequency of variations SSRs types, Figure S2: IR borders of P. obconica subsp. obconica (MK344754), Figure S3: Comparison of 5 subspecies of P. obconica plastome genomes using mVISTA, Table S1 Details of accession used in the study, Table S2: List of genes in the plastome genomes of P. obconica subsp. obconica, Table S3: The lengths of introns and exons for the splitting genes in P. obconica subsp. obconica, Table S4: SNPs identified in P. obconica subsp. obconica plastomes, Table S5: SNP annotation based on 16 plastome genomes of P. obconica subsp. obconica using SnpEff, Table S6: List the SSRs that shared by P. obconica subsp. obconica, Table S7: ABGD species delimitation results.
description: Those data were Supplementary materials for "Chloroplast Genomes Insight to Evolution and Origin of Primula obconica（Primulaceae）", These data are open access.Figure S1. The presence of simple sequence repeats (SSRs) in the P. obconica subsp. obconica chloroplast genomes. (A) The number of repeats types; (B) Frequency of variations SSRs types, Figure S2: IR borders of P. obconica subsp. obconica (MK344754), Figure S3: Comparison of 5 subspecies of P. obconica plastome genomes using mVISTA, Table S1 Details of accession used in the study, Table S2: List of genes in the plastome genomes of P. obconica subsp. obconica, Table S3: The lengths of introns and exons for the splitting genes in P. obconica subsp. obconica, Table S4: SNPs identified in P. obconica subsp. obconica plastomes, Table S5: SNP annotation based on 16 plastome genomes of P. obconica subsp. obconica using SnpEff, Table S6: List the SSRs that shared by P. obconica subsp. obconica, Table S7: ABGD species delimitation results.
DOI: 10.57760/sciencedb.00913
title: Genome-wide analysis of differential expressed circular RNAs for early diagnosis of cerebral palsy
title: Genome-wide analysis of differential expressed circular RNAs for early diagnosis of cerebral palsy

description: Cerebral palsy (CP) is a spectrum of non-progressive motor disorders without specific diagnostic biomarker. Blood plasma from five CP children and their healthy twin brothers/sisters was analyzed by gene microarray to screen out differentially expressed RNAs.
description: Cerebral palsy (CP) is a spectrum of non-progressive motor disorders without specific diagnostic biomarker. Blood plasma from five CP children and their healthy twin brothers/sisters was analyzed by gene microarray to screen out differentially expressed RNAs.
DOI: 10.57760/sciencedb.00896
title: Dataset Clinical Course of Neonatal Acute Kidney Injury. Multi-Center Prospective Cohort Study
title: Dataset Clinical Course of Neonatal Acute Kidney Injury. Multi-Center Prospective Cohort Study

description: Dataset of study: "Clinical Course of Neonatal Acute Kidney Injury. Multi-Center Prospective Cohort Study" used for describe the clinical course and outcomes during the first seven days after diagnosis in newborns with AKI in three neonatal intensive care units in Popayán Colombia. This study was conducted between June 2019 and December 2020.
description: Dataset of study: "Clinical Course of Neonatal Acute Kidney Injury. Multi-Center Prospective Cohort Study" used for describe the clinical course and outcomes during the first seven days after diagnosis in newborns with AKI in three neonatal intensive care units in Popayán Colombia. This study was conducted between June 2019 and December 2020.
DOI: 10.57760/sciencedb.00902
title: 30m-resolution land cover fusion data in the Yangtze River Delta in 2015
title: 长三角地区30m土地覆被融合数据（2015年）

description: Land cover data is a data set describing the properties and distribution of materials on the earth's surface. It is of great significance to the study of global climate change and urban development trends. This data takes the Yangtze River Delta as the research area, and integrates 6 sets of global medium-resolution land cover data products (CCI_LC, GLC_FCS30, FROM_GLC, CGLS_LS, GLCNMO and GlobeLand30) to develop 30m-resolution land cover fusion data in the Yangtze River Delta in 2015, basing on fuzzy logic theory. The data can provide remote sensing users and scientific researchers with high-quality land cover classification products in the Yangtze River Delta. The final result is saved in GeoTIFF format.
description: Land cover data is a data set describing the properties and distribution of materials on the earth's surface. It is of great significance to the study of global climate change and urban development trends. This data takes the Yangtze River Delta as the research area, and integrates 6 sets of global medium-resolution land cover data products (CCI_LC, GLC_FCS30, FROM_GLC, CGLS_LS, GLCNMO and GlobeLand30) to develop 30m-resolution land cover fusion data in the Yangtze River Delta in 2015, basing on fuzzy logic theory. The data can provide remote sensing users and scientific researchers with high-quality land cover classification products in the Yangtze River Delta. The final result is saved in GeoTIFF format.
DOI: 10.57760/sciencedb.01152
title: Data Results of Structural response of nailed and anchored high-rise building
title: Data Results of Structural response of nailed and anchored high-rise building

description: The data is for the structural response of a 24-story high-rise building with four underground stories in two situations for the basement retaining walls (1) nailed and (2) anchored
description: The data is for the structural response of a 24-story high-rise building with four underground stories in two situations for the basement retaining walls (1) nailed and (2) anchored
DOI: 10.57760/sciencedb.01158
title: A dataset in Makran Oceanic Region where the Gwadar Port of China-Pakistan Economic Corridor is located
title: 中巴经济走廊瓜达尔港所在莫克兰海域数据集

description: On the southern edge of the coasts of Pakistan and Iran, the Makran of the North Indian Ocean are the area where the important port Gwadar Port in the action plan on the China-proposed Belt and Road Initiative is located. The region has unique geological tectonic features and frequent marine disasters. The collection and sorting of basic geological and geophysical data and marine disaster data in this region can provide basic data background support for the safe construction of the “China-Pakistan Economic Corridor”. This dataset contains huge waves from 1992 to 2016, typhoons from 1980 to 2020, seismic data from 1960 to 2019 in the oceanic area, data from shipboard seismic survey data for the first joint voyage of China-Pakistan in the North Indian Ocean in 2018, simulation data of scenario seismic tsunami, and topography, gravity, sediment, fault, and other basic geological parameter data.
description: On the southern edge of the coasts of Pakistan and Iran, the Makran of the North Indian Ocean are the area where the important port Gwadar Port in the action plan on the China-proposed Belt and Road Initiative is located. The region has unique geological tectonic features and frequent marine disasters. The collection and sorting of basic geological and geophysical data and marine disaster data in this region can provide basic data background support for the safe construction of the “China-Pakistan Economic Corridor”. This dataset contains huge waves from 1992 to 2016, typhoons from 1980 to 2020, seismic data from 1960 to 2019 in the oceanic area, data from shipboard seismic survey data for the first joint voyage of China-Pakistan in the North Indian Ocean in 2018, simulation data of scenario seismic tsunami, and topography, gravity, sediment, fault, and other basic geological parameter data.
DOI: 10.57760/sciencedb.01073
title: Named entity recognition task data set for Test and Evaluation domain
title: 面向试验鉴定的命名实体识别任务数据集

description: The System Engineering Research Institute of the Academy of Military Sciences organizes manual labeling of foreign military equipment test and appraisal data to ensure the consistency of labeling through independent labeling, cross inspection, expert review, modification and iteration. The training data of this evaluation are: 1) 400 marked data; 2) A glossary of 3398 entity words in 4 categories.
description: The System Engineering Research Institute of the Academy of Military Sciences organizes manual labeling of foreign military equipment test and appraisal data to ensure the consistency of labeling through independent labeling, cross inspection, expert review, modification and iteration. The training data of this evaluation are: 1) 400 marked data; 2) A glossary of 3398 entity words in 4 categories.
DOI: 10.57760/sciencedb.01094
title: PVOD v1.0 : A photovoltaic power output dataset
title: PVOD v1.0 : A photovoltaic power output dataset

description: PVOD can be applied to PV power forecasting based on different methods, as well as other tasks, e.g., solar irradiance forecasting, grid stability analysis, geographic smoothing, and wind power forecasting applications.PVOD has total 271,968 records and is constructed from two data sources with a 15-min interval, namely, Numerical Weather Prediction (NWP) from meteorological service and Local Measurements Data (LMD) from PV power stations.NWP includes 7 features, i.e., global irradiance, direct irradiance, temperature, humidity, wind speed, wind direction, and pressure.Local Measurements Data includes 7 features, i.e., global irradiance, diffuse irradiance, temperature, pressure, wind direction, wind speed, and photovoltaic output records.
description: PVOD can be applied to PV power forecasting based on different methods, as well as other tasks, e.g., solar irradiance forecasting, grid stability analysis, geographic smoothing, and wind power forecasting applications.PVOD has total 271,968 records and is constructed from two data sources with a 15-min interval, namely, Numerical Weather Prediction (NWP) from meteorological service and Local Measurements Data (LMD) from PV power stations.NWP includes 7 features, i.e., global irradiance, direct irradiance, temperature, humidity, wind speed, wind direction, and pressure.Local Measurements Data includes 7 features, i.e., global irradiance, diffuse irradiance, temperature, pressure, wind direction, wind speed, and photovoltaic output records.
DOI: 10.57760/sciencedb.01141
title: Raw Data for the article "Deletion of ribosomal paralogs Rpl39 and Rpl39l compromises cell proliferation via protein synthesis and mitochondrial activity"
title: Raw Data for the article "Deletion of ribosomal paralogs Rpl39 and Rpl39l compromises cell proliferation via protein synthesis and mitochondrial activity"

description: This zip package includes all the raw data involving in the article "Deletion of ribosomal paralogs Rpl39 and Rpl39l compromises cell proliferation via protein synthesis and mitochondrial activity" published on the journal "International Journal of Biochemistry and Cell Biology"
description: This zip package includes all the raw data involving in the article "Deletion of ribosomal paralogs Rpl39 and Rpl39l compromises cell proliferation via protein synthesis and mitochondrial activity" published on the journal "International Journal of Biochemistry and Cell Biology"
DOI: 10.57760/sciencedb.00872
title: A daily dataset of global marine heatwaves from 1982 to 2020
title: A daily dataset of global marine heatwaves from 1982 to 2020

description: Marine heatwave (MHW) is prolonged high‑temperature extreme events in the ocean, which can cause devastating impacts to marine life, and then has a serious impact on the climate system and the social economy. Based on the global daily remotely sensed National Oceanic and Atmospheric Administration (NOAA) Optimum Interpolation (OI) SST V2 high resolution (1/4°) gridded SST data over 1982–2020, and with reference to previous studies on marine heatwaves, MHW is defined as the period when SSTs exceed the 90th percentile (threshold value) of the 30-year historical reference period (1983-2012) for at least five consecutive days. The dataset presents the daily intensity of global MHWs from 1982 to 2020, which is stored in NETCDF format with a horizontal resolution of 0.25°×0.25° and a time step of day, and for the period without MHWs, the data is stored as 0. The data product can be used as a basic data to study the seasonal to decadal changes of the ocean extreme events and explore the effects of global warming on the surface layer of oceans in recent 40 years.
description: Marine heatwave (MHW) is prolonged high‑temperature extreme events in the ocean, which can cause devastating impacts to marine life, and then has a serious impact on the climate system and the social economy. Based on the global daily remotely sensed National Oceanic and Atmospheric Administration (NOAA) Optimum Interpolation (OI) SST V2 high resolution (1/4°) gridded SST data over 1982–2020, and with reference to previous studies on marine heatwaves, MHW is defined as the period when SSTs exceed the 90th percentile (threshold value) of the 30-year historical reference period (1983-2012) for at least five consecutive days. The dataset presents the daily intensity of global MHWs from 1982 to 2020, which is stored in NETCDF format with a horizontal resolution of 0.25°×0.25° and a time step of day, and for the period without MHWs, the data is stored as 0. The data product can be used as a basic data to study the seasonal to decadal changes of the ocean extreme events and explore the effects of global warming on the surface layer of oceans in recent 40 years.
DOI: 10.57760/sciencedb.01044
title: Public Sentiment Diffusion over COVID-19 Related Tweets Posted by Major Public Health Agency in the United States.
title: Public Sentiment Diffusion over COVID-19 Related Tweets Posted by Major Public Health Agency in the United States.

description: AboutThe required corpus for research in the article: Public Sentiment Diffusion over COVID-19 Related Tweets Posted by Major Public Health Agency in the United States.File DescriptiontweetTongji-final.xlsx: the result and diagram of handling the corpus in the article.id_network.csv: the interaction record of tweet with id extarcted from tweets posted by HHS, NIH, FDA and CDC in the COVID-19-TweetIds dataset.for example, the file 1221623107397595137_network.csv store the interaction record of tweed whose id is 1221623107397595137.extraction.py: script for interaction extraction from mongodb collection.moreinfo.py: script for extract more information about the interaction tweets from the COVID-19-TweetIds dataset.allinfowithemotion.py：script for emerge emotion intensity and polarity of tweets.Fileds of Interaction recordFromNodeId: the id of father tweet,ToNodeId: the id of child tweet,Weight: the type of interaction. 1 represents retweet, 2 represents reply, 3 represents quote,Level: the level of sentiment diffusion network.
description: AboutThe required corpus for research in the article: Public Sentiment Diffusion over COVID-19 Related Tweets Posted by Major Public Health Agency in the United States.File DescriptiontweetTongji-final.xlsx: the result and diagram of handling the corpus in the article.id_network.csv: the interaction record of tweet with id extarcted from tweets posted by HHS, NIH, FDA and CDC in the COVID-19-TweetIds dataset.for example, the file 1221623107397595137_network.csv store the interaction record of tweed whose id is 1221623107397595137.extraction.py: script for interaction extraction from mongodb collection.moreinfo.py: script for extract more information about the interaction tweets from the COVID-19-TweetIds dataset.allinfowithemotion.py：script for emerge emotion intensity and polarity of tweets.Fileds of Interaction recordFromNodeId: the id of father tweet,ToNodeId: the id of child tweet,Weight: the type of interaction. 1 represents retweet, 2 represents reply, 3 represents quote,Level: the level of sentiment diffusion network.
DOI: 10.57760/sciencedb.01104
title: Expansion microscopy allows high resolution single cell analysis of epigenetic readers
title: Expansion microscopy allows high resolution single cell analysis of epigenetic readers

description: Numeric data used to create figures in the main manuscript: "Expansion microscopy allows high resolution single cell analysis of epigenetic readers"Figure 2g = pre expansion counting of LEDGF moleculesFigure 2h = post expansion counting of LEDF moleculesFigure 4a = co-localizing LEDGF spots with H3K36me3Figure 4b = co-localization ratio for different markers (LEDGF)Figure 5a = co-localization ratio for different markers (BRD4)Figure 5b = effect of JQ1 on BRD4 co-localization with H3K9/14ac
description: Numeric data used to create figures in the main manuscript: "Expansion microscopy allows high resolution single cell analysis of epigenetic readers"Figure 2g = pre expansion counting of LEDGF moleculesFigure 2h = post expansion counting of LEDF moleculesFigure 4a = co-localizing LEDGF spots with H3K36me3Figure 4b = co-localization ratio for different markers (LEDGF)Figure 5a = co-localization ratio for different markers (BRD4)Figure 5b = effect of JQ1 on BRD4 co-localization with H3K9/14ac
DOI: 10.57760/sciencedb.01082
title: Global SPEI-12 data
title: 全球SPEI-12数据集

description: Global SPEITime range: 1982-2015 Time resolution: yearSpatial resolution 0.5 degrees 12 months processing.
description: Global SPEITime range: 1982-2015 Time resolution: yearSpatial resolution 0.5 degrees 12 months processing.
DOI: 10.57760/sciencedb.01165
title: Trends and Patterns in Social, ecological and economic Layers of L zone
title: Trends and Patterns in Social, ecological and economic Layers of L zone

description: The study throws light on how indiscriminate land use conversions give rise to social exclusion. Social exclusion leads to environmental degradation which in turn affects the livelihoods and resilience of communities. Consequent to that, an argument is made if the same kind of master planning should be followed or a different purpose should be given to these lands. A proposal has been made as a synthesis of the research and the technique of ecosystem services mapping, This approach consists of understanding the socio economic relationship with the ecosystem, the trends and patterns, the study of ecological layers, and cluster network analysis. Through this, an alternative zonal plan is created with ecosystem services as base layer, which supports agricultural services based on alternative economies.This is the data analysed through Landsat images, data collected by CGWB documents and soil surveys.The ecological layers were mapped through GIS.
description: The study throws light on how indiscriminate land use conversions give rise to social exclusion. Social exclusion leads to environmental degradation which in turn affects the livelihoods and resilience of communities. Consequent to that, an argument is made if the same kind of master planning should be followed or a different purpose should be given to these lands. A proposal has been made as a synthesis of the research and the technique of ecosystem services mapping, This approach consists of understanding the socio economic relationship with the ecosystem, the trends and patterns, the study of ecological layers, and cluster network analysis. Through this, an alternative zonal plan is created with ecosystem services as base layer, which supports agricultural services based on alternative economies.This is the data analysed through Landsat images, data collected by CGWB documents and soil surveys.The ecological layers were mapped through GIS.
DOI: 10.57760/sciencedb.01181
title: Geospatial Data for Rainwater Harvesting
title: Geospatial Data for Rainwater Harvesting

description: The purpose of the present study is to develop GIS based methodology for the identification of sites suitable for the rainwater harvesting at village level for a developing country like India. The methodology uses geographic information system based conceptual framework incorporating analytic hierarchy process, weighted overlay process, and soil conservation service curve number method. The conceptual framework supports to detect potential runoff accumulation sites based on the several spatial features (land use/land cover, slope, rainfall, standardized precipitation index, stream order, topographic wetness index, height above the nearest drainage, and curve number) of the watershed.
description: The purpose of the present study is to develop GIS based methodology for the identification of sites suitable for the rainwater harvesting at village level for a developing country like India. The methodology uses geographic information system based conceptual framework incorporating analytic hierarchy process, weighted overlay process, and soil conservation service curve number method. The conceptual framework supports to detect potential runoff accumulation sites based on the several spatial features (land use/land cover, slope, rainfall, standardized precipitation index, stream order, topographic wetness index, height above the nearest drainage, and curve number) of the watershed.
DOI: 10.57760/sciencedb.01221
title: FAST Zeeman data
title: FAST塞曼效应数据

description: The data set of FAST observations of L1544 prestellar core of Taurus molecular clouds in the 2019 'risk-shared ' phase of FAST. Including the Stoke I and U spectra.
description: The data set of FAST observations of L1544 prestellar core of Taurus molecular clouds in the 2019 'risk-shared ' phase of FAST. Including the Stoke I and U spectra.