cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.00800
title: Study on the influence of Wuhan urban transportation on COVID-19
title: 武汉市城市交通对新冠疫情影响研究

description: The data in this paper includes city data and epidemic data. The urban data embodies subdistrict zoning vector data, road network vector data, rail transit stations POI data and bus stations POI data of the seven traditional central urban districts of Wuhan. The epidemic data is crawled from the real-time distribution map of infected cases jointly published by the Chinese Centre for Disease Control and Prevention and Tencent Group, of which 29324 confirmed cases in 3397 residential areas in Wuhan were summarized as of 2 March 2020 during which Wuhan was at the end of the outbreak with a cumulative total of 49,426 confirmed cases, accounting for 98.16% of the total number of confirmed cases in Wuhan in 2020.
description: The data in this paper includes city data and epidemic data. The urban data embodies subdistrict zoning vector data, road network vector data, rail transit stations POI data and bus stations POI data of the seven traditional central urban districts of Wuhan. The epidemic data is crawled from the real-time distribution map of infected cases jointly published by the Chinese Centre for Disease Control and Prevention and Tencent Group, of which 29324 confirmed cases in 3397 residential areas in Wuhan were summarized as of 2 March 2020 during which Wuhan was at the end of the outbreak with a cumulative total of 49,426 confirmed cases, accounting for 98.16% of the total number of confirmed cases in Wuhan in 2020.
DOI: 10.57760/sciencedb.00614
title: Point Clouds on Plane
title: Point Clouds on Plane

description: Datasets have twelve archives related to point clouds surveyed on the plane. Six point clouds are generated by Total Station and Six generated by terrestrial laser scanning. Which point cloud is related to a different plane position.1) Point clouds by terrestrial laser scanning: a - Frontal PositionNuvem_1Nuvem_2Nuvem_3Nuvem_4 b - Oblique PositionNuvem_5Nuvem_6 2) Point clouds by Total Station: a - Frontal PositionNuvem_1_TSNuvem_2_TSNuvem_3_TSNuvem_4_TS b - Oblique PositionNuvem_5_TSNuvem_6_TS
description: Datasets have twelve archives related to point clouds surveyed on the plane. Six point clouds are generated by Total Station and Six generated by terrestrial laser scanning. Which point cloud is related to a different plane position.1) Point clouds by terrestrial laser scanning: a - Frontal PositionNuvem_1Nuvem_2Nuvem_3Nuvem_4 b - Oblique PositionNuvem_5Nuvem_6 2) Point clouds by Total Station: a - Frontal PositionNuvem_1_TSNuvem_2_TSNuvem_3_TSNuvem_4_TS b - Oblique PositionNuvem_5_TSNuvem_6_TS
DOI: 10.57760/sciencedb.00069
title: A dataset of the concentrations of organic molecular tracers over Beijing during the late summer, China 2015
title: A dataset of the concentrations of organic molecular tracers over Beijing during the late summer, China 2015

description: This is a large dataset of the vertical concentrations of anthropogenic and biogenic secondary organic aerosols in the urban boundary layer over Beijing during the late summer, Chian 2015. The samples were collected every day at three heights: 8 m, 120 m, and 260 m based a 325 m meteorological tower in Beijing.
description: This is a large dataset of the vertical concentrations of anthropogenic and biogenic secondary organic aerosols in the urban boundary layer over Beijing during the late summer, Chian 2015. The samples were collected every day at three heights: 8 m, 120 m, and 260 m based a 325 m meteorological tower in Beijing.
DOI: 10.57760/sciencedb.00240
title: Homogenized and gridded daily observed land soil temperature datasets over mainland China at 0.25°×0.25° from 1960 through 2017
title: 1960~2017年中国大陆地区均一化的逐日观测地表土壤温度格点数据

description: Soil temperature (TS) is one of the most important factors in the land-atmosphere interaction process. Raw measured TSs may contain biases due to instrument replacement, changes in recording procedures, and other nonclimatic factors. Moreover, in China, such homogenized daily soil temperature dataset are still absent so far. Based on above recognition, we developed a multilayer homogenized and gridded dataset of daily TS in mainland China from 1960 to 2017. Our dataset contains multilayer gridded TSs, including 0 cm, 5 cm, 10 cm, 15 cm, 20 cm and 40 cm. This dataset can accurately and reliably evaluate the spatial and temporal change characteristics of the TS in mainland China. What’s more, the homogenized TS datasets can be further adopted for a variety of applications (e.g., model evaluation and extreme event characterization).
description: Soil temperature (TS) is one of the most important factors in the land-atmosphere interaction process. Raw measured TSs may contain biases due to instrument replacement, changes in recording procedures, and other nonclimatic factors. Moreover, in China, such homogenized daily soil temperature dataset are still absent so far. Based on above recognition, we developed a multilayer homogenized and gridded dataset of daily TS in mainland China from 1960 to 2017. Our dataset contains multilayer gridded TSs, including 0 cm, 5 cm, 10 cm, 15 cm, 20 cm and 40 cm. This dataset can accurately and reliably evaluate the spatial and temporal change characteristics of the TS in mainland China. What’s more, the homogenized TS datasets can be further adopted for a variety of applications (e.g., model evaluation and extreme event characterization).
DOI: 10.57760/sciencedb.00496
title: Spanish Adaptation and Psychometric Properties of the Animal Attitude Scale and the Speciesism Scale
title: Spanish Adaptation and Psychometric Properties of the Animal Attitude Scale and the Speciesism Scale

description: SPSS data file of "Spanish Adaptation and Psychometric Properties of the Animal Attitude Scale and the Speciesism Scale" paper.
description: SPSS data file of "Spanish Adaptation and Psychometric Properties of the Animal Attitude Scale and the Speciesism Scale" paper.
DOI: 10.57760/sciencedb.00787
title: Mortality Prediction MIMIC-III
title: Mortality Prediction MIMIC-III

description: This new dataset was established according to the MIMIC III dataset, an openly available database developed by The Laboratory of Computational Physiology at Massachusetts Institute of Technology (MIT), which consists of data from more than 25,000 patients who were admitted to the Beth Israel Deaconess Medical Center (BIDMC) since 2003 and who have been de-identified for information safety. Here, we identified patients who were diagnosed as pelvic, acetabular, or combined pelvic and acetabular fractures according to ICD-9 code and who survived at least 72 hours after the ICU admission. All the data within the first 72 hours following ICU admission were collected and extracted from the MIMIC-III clinical database version 1.4.
description: This new dataset was established according to the MIMIC III dataset, an openly available database developed by The Laboratory of Computational Physiology at Massachusetts Institute of Technology (MIT), which consists of data from more than 25,000 patients who were admitted to the Beth Israel Deaconess Medical Center (BIDMC) since 2003 and who have been de-identified for information safety. Here, we identified patients who were diagnosed as pelvic, acetabular, or combined pelvic and acetabular fractures according to ICD-9 code and who survived at least 72 hours after the ICU admission. All the data within the first 72 hours following ICU admission were collected and extracted from the MIMIC-III clinical database version 1.4.
DOI: 10.57760/sciencedb.00024
title: China's provincial process CO2 emissions from cement production
title: China's provincial process CO2 emissions from cement production

description: The dataset includes process CO2 emissions from cement production in China's 31 provinces from 1993 to 2020. The dataset is an Excel file containing 6 sheets. The 6 sheets are provincial data of the raw cement production, the raw clinker production, the calculated clinker-cement ratio, the clinker emission factor, the final cement process emission inventory data, and the uncertainty analysis. China's provincial process CO2 emissions from cement production are calculated by the clinker-based method, namely the Tier 2 of IPCC, including 864 data records. Data sources and notes are also added to each sheet.
description: The dataset includes process CO2 emissions from cement production in China's 31 provinces from 1993 to 2020. The dataset is an Excel file containing 6 sheets. The 6 sheets are provincial data of the raw cement production, the raw clinker production, the calculated clinker-cement ratio, the clinker emission factor, the final cement process emission inventory data, and the uncertainty analysis. China's provincial process CO2 emissions from cement production are calculated by the clinker-based method, namely the Tier 2 of IPCC, including 864 data records. Data sources and notes are also added to each sheet.
DOI: 10.57760/sciencedb.00035
title: Data set of polarizing micrographs of late cretaceous-eocene rock slices in the western tarim basin, xinjiang
title: 新疆塔里木盆地西部晚白垩世–始新世岩石薄片偏光显微图像数据集

description: The data set consists of five data files: thin section photo.zip, regional geological map.pdf, profile field photo.pdf, stratigraphic histogram.pdf and thin section identification report.xls. Among them: (1) slice photo. Zip is the photo set of polarized photomicrograph of rock slice, with data volume of 2.06 GB; (2) regional geological map. PDF shows the geological sketch of the section survey area, with data volume of 533 KB; (3) profile field photo. PDF shows the field photo of the survey section and the characteristics of stratum exposure, with data volume of 2.39 GB MB; (4) the stratigraphic histogram. PDF shows the stratigraphic thickness, age of the measured section and the position of the sample in the section, with the data volume of 557 KB; (5) the thin section identification report. XLS is the identification data sheet of the rock thin section, with the data volume of 412 KB.
description: The data set consists of five data files: thin section photo.zip, regional geological map.pdf, profile field photo.pdf, stratigraphic histogram.pdf and thin section identification report.xls. Among them: (1) slice photo. Zip is the photo set of polarized photomicrograph of rock slice, with data volume of 2.06 GB; (2) regional geological map. PDF shows the geological sketch of the section survey area, with data volume of 533 KB; (3) profile field photo. PDF shows the field photo of the survey section and the characteristics of stratum exposure, with data volume of 2.39 GB MB; (4) the stratigraphic histogram. PDF shows the stratigraphic thickness, age of the measured section and the position of the sample in the section, with the data volume of 557 KB; (5) the thin section identification report. XLS is the identification data sheet of the rock thin section, with the data volume of 412 KB.
DOI: 10.57760/sciencedb.00095
title: Supplemental Materials
title: Supplemental Materials

description: Supplementary Materials for manuscript entitled "Magnetic gelatin-activated biochar synthesis from agricultural biomass for the removal of Sodium diclofenac from aqueous solution: adsorption performance and external influencers"
description: Supplementary Materials for manuscript entitled "Magnetic gelatin-activated biochar synthesis from agricultural biomass for the removal of Sodium diclofenac from aqueous solution: adsorption performance and external influencers"
DOI: 10.57760/sciencedb.00591
title: Oceanographic data collected within the Pacific Arctic Ocean by the Russia and China cruises in the summer of 2016
title: Oceanographic data collected within the Pacific Arctic Ocean by the Russia and China cruises in the summer of 2016

description: The dataset includes two types of hydrological data, CTD and XCTD, obtained from two expeditions in the Pacific Ocean Sector of the Arctic Ocean in 2016 summer, consisting of 94 CTD data and 24 XCTD data on Xuelong R/V from China, and 43 CTD data and 13 XCTD data on Akademik M.A. Lavrentyev R/V from Russia. The dataset could be used to analyze the hydrological environmental characteristics of the Pacific-Arctic Ocean in 2016.
description: The dataset includes two types of hydrological data, CTD and XCTD, obtained from two expeditions in the Pacific Ocean Sector of the Arctic Ocean in 2016 summer, consisting of 94 CTD data and 24 XCTD data on Xuelong R/V from China, and 43 CTD data and 13 XCTD data on Akademik M.A. Lavrentyev R/V from Russia. The dataset could be used to analyze the hydrological environmental characteristics of the Pacific-Arctic Ocean in 2016.
DOI: 10.57760/sciencedb.00762
title: InLeaf Dataset
title: InLeaf Dataset

description: We have created Inleaf dataset for which the images are downloaded from the internet. It is less expensive to create such a dataset as opposed to well-defined standard datasets, which are often collected by capturing images from a high-quality camera and/or processed in the lab before the training. In addition, the dataset generated from the internet reflects realistic images, which includes plenty of mislabeled, noisy and irrelevant images.
description: We have created Inleaf dataset for which the images are downloaded from the internet. It is less expensive to create such a dataset as opposed to well-defined standard datasets, which are often collected by capturing images from a high-quality camera and/or processed in the lab before the training. In addition, the dataset generated from the internet reflects realistic images, which includes plenty of mislabeled, noisy and irrelevant images.
DOI: 10.57760/sciencedb.00804
title: The Hospitalization information of the Patients with Strabismus
title: The Hospitalization information of the Patients with Strabismus

description: This dataset was retrieved from the electronic medical record of strabismus hospitalization from the eye hospital of the First Affiliated Hospital of Harbin Medical University, and privacy information such as patients' names was processed through Excel. This dataset contains all relevant information on patients hospitalized with strabismus from 2014 to 2019, such as the total cost of patient hospitalization, all costs, type of strabismus, age distribution, type of surgery, and anesthesia. The header line represents the type of data collected. The header column represents a certain class of data. This dataset has a large sample of patients, a long time span, and is of great reference value.
description: This dataset was retrieved from the electronic medical record of strabismus hospitalization from the eye hospital of the First Affiliated Hospital of Harbin Medical University, and privacy information such as patients' names was processed through Excel. This dataset contains all relevant information on patients hospitalized with strabismus from 2014 to 2019, such as the total cost of patient hospitalization, all costs, type of strabismus, age distribution, type of surgery, and anesthesia. The header line represents the type of data collected. The header column represents a certain class of data. This dataset has a large sample of patients, a long time span, and is of great reference value.
DOI: 10.57760/sciencedb.00603
title: D²-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
title: D²-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios

description: D²-City is a large-scale driving video dataset that provides more than 10,000 dashcam videos recorded in 720p HD or 1080p FHD. Around 1000 of the videos come with detection and tracking annotation in each frame of all road objects, including bounding boxes and the tracking IDs of cars, vans, buses, trucks, pedestrians, motorcycles, bicycles, open- and closed-tricycles, forklifts, and large- and small-blocks. Some of the remainders of the videos come with road objects annotated in keyframes. Compared with existing datasets, D²-City benefits from its huge amount of diversity as data is collected from several cities throughout China and features varying weather, road, and traffic conditions. D²-City pays special attention to challenges in complex and various traffic scenarios. By bring more challenging cases to the community, we hope that this dataset will encourage and help new advances in the perception area of intelligent driving. The D²-City dataset and the corresponding challenges are originally hosted on DiDi GAIA's platform (URL: https://outreach.didichuxing.com/d2city/d2city)
description: D²-City is a large-scale driving video dataset that provides more than 10,000 dashcam videos recorded in 720p HD or 1080p FHD. Around 1000 of the videos come with detection and tracking annotation in each frame of all road objects, including bounding boxes and the tracking IDs of cars, vans, buses, trucks, pedestrians, motorcycles, bicycles, open- and closed-tricycles, forklifts, and large- and small-blocks. Some of the remainders of the videos come with road objects annotated in keyframes. Compared with existing datasets, D²-City benefits from its huge amount of diversity as data is collected from several cities throughout China and features varying weather, road, and traffic conditions. D²-City pays special attention to challenges in complex and various traffic scenarios. By bring more challenging cases to the community, we hope that this dataset will encourage and help new advances in the perception area of intelligent driving. The D²-City dataset and the corresponding challenges are originally hosted on DiDi GAIA's platform (URL: https://outreach.didichuxing.com/d2city/d2city)
DOI: 10.57760/sciencedb.00628
title: ADAMTS13 disease-causing variants
title: ADAMTS13 disease-causing variants

description: all known & novel ADAMTS13 disease-causing variants from PubMed & Scopus retrieval and ClinVar, HGMD Public and gnomAD database. variants HGVS nomenclature, reported case reports and scientific computing Python/R scripts.
description: all known & novel ADAMTS13 disease-causing variants from PubMed & Scopus retrieval and ClinVar, HGMD Public and gnomAD database. variants HGVS nomenclature, reported case reports and scientific computing Python/R scripts.
DOI: 10.57760/sciencedb.00702
title: Mitogenomes of Megabelesesinae (Hymenoptera: Tenthredinidae)
title: 线粒体基因组-巨基叶蜂亚科

description: The mitochondrial genomes of four species of Megabelesesinae were assembled by MitoZ without any parameters, and those of related species were assembled with parameters. The results were verified by Geneious software. The tRNA genes were annotated by MITOS server, and the protein coding genes were annotated by comparing the genome sequences of related species. All sequences can only be read by Geneious software, The .fasta file can be opened using Notepad.
description: The mitochondrial genomes of four species of Megabelesesinae were assembled by MitoZ without any parameters, and those of related species were assembled with parameters. The results were verified by Geneious software. The tRNA genes were annotated by MITOS server, and the protein coding genes were annotated by comparing the genome sequences of related species. All sequences can only be read by Geneious software, The .fasta file can be opened using Notepad.
DOI: 10.57760/sciencedb.00393
title: PubMed Central Citation Context Dataset
title: PubMed Central Citation Context Dataset

description: This is the citation context dataset generated from a snapshot of PubMed Central Open Access Subset. The dataset has about 97.5 million citing-cited pairs, 34.7 million texts of citation context based on 2,658,541 PubMed Central papers. The original PMC papers were downloaded in late December of 2019 using the official FTP service. Then, we processed each of the PMC files to (1) extract the PMC paper's information, (2) extract the citation relationship, (3) extract the citation contexts. The dataset overall is comparatively clean, because the PMC papers are already processed and available in the XML format, and the position of the citation anchor in the citation context is also provided, helping users for further data analysis and data mining based on the dataset. A future published paper's information may be added for providing more detailed information about this dataset.
description: This is the citation context dataset generated from a snapshot of PubMed Central Open Access Subset. The dataset has about 97.5 million citing-cited pairs, 34.7 million texts of citation context based on 2,658,541 PubMed Central papers. The original PMC papers were downloaded in late December of 2019 using the official FTP service. Then, we processed each of the PMC files to (1) extract the PMC paper's information, (2) extract the citation relationship, (3) extract the citation contexts. The dataset overall is comparatively clean, because the PMC papers are already processed and available in the XML format, and the position of the citation anchor in the citation context is also provided, helping users for further data analysis and data mining based on the dataset. A future published paper's information may be added for providing more detailed information about this dataset.
DOI: 10.57760/sciencedb.00283
title: Planktonic metabolism and microbial carbon substrate utilization in response to inundation in semi-arid floodplain wetlands
title: Planktonic metabolism and microbial carbon substrate utilization in response to inundation in semi-arid floodplain wetlands

description: Gross Primary productivity, respiration, Ecoplate data, Organic and inorganic carbon, Chlorophyll, Nutrients
description: Gross Primary productivity, respiration, Ecoplate data, Organic and inorganic carbon, Chlorophyll, Nutrients