cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.01720
title: Homogenized monthly and daily temperature and precipitation time series in Greece during 1960-2010
title: Homogenized monthly and daily temperature and precipitation time series in Greece during 1960-2010

description: Based on CLIMATOL and Multiple Analysis of Series for Homogenization (MASH) methods, we firstly detected, estimated, and adjusted inhomogeneities in daily mean temperature, maximum temperature, minimum temperature and precipitation at 56 stations in Greece from 1960 to 2010, then established homogenized daily temperature and precipitation datasets. All datasets are completed by cooperation between Greece (Laboratory of Atmospheric Physics, Department of Physics, University of Patras) and China (Key Laboratory of Regional Climate-Environment in Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences).The information are as following:Homogenized monthly and daily temperature and precipitation time series in Greece during 1960-2010.rar (12.5MB). There is a .xlsx file named Information at 56 stations in Greece including four columns (No., Station No., Longitude, and Latitude) Four folders are named RR, TG, TN, and TX. In each folder there are two subfolders named daily and monthly. In each subfolder, there are 56 .csv files named with station No. In each .csv file, there are 2 columns (date and records). In updated version, the climate change indices dataset is deleted, because I will submit it again to SDB as an another dataset.
description: Based on CLIMATOL and Multiple Analysis of Series for Homogenization (MASH) methods, we firstly detected, estimated, and adjusted inhomogeneities in daily mean temperature, maximum temperature, minimum temperature and precipitation at 56 stations in Greece from 1960 to 2010, then established homogenized daily temperature and precipitation datasets. All datasets are completed by cooperation between Greece (Laboratory of Atmospheric Physics, Department of Physics, University of Patras) and China (Key Laboratory of Regional Climate-Environment in Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences).The information are as following:Homogenized monthly and daily temperature and precipitation time series in Greece during 1960-2010.rar (12.5MB). There is a .xlsx file named Information at 56 stations in Greece including four columns (No., Station No., Longitude, and Latitude) Four folders are named RR, TG, TN, and TX. In each folder there are two subfolders named daily and monthly. In each subfolder, there are 56 .csv files named with station No. In each .csv file, there are 2 columns (date and records). In updated version, the climate change indices dataset is deleted, because I will submit it again to SDB as an another dataset.
DOI: 10.57760/sciencedb.09945
title: NJIAS Himawari-8/9 Typhoon Cloud Feature Dataset (HTCFD). Part I: 2016–2021
title: NJIAS Himawari-8/9 Typhoon Cloud Feature Dataset (HTCFD). Part I: 2016–2021

description: The NJIAS HTCFD provides a comprehensive description of radiance and cloud features within a 20° × 20° longitude-latitude grid box surrounding the center of west North Pacific typhoons. It includes 36 variables, with 10 being the visible and infrared measurements from the Advanced Himawari Imager onboard the Japanese geostationary satellites Himawari-8/9 (i.e., visible and near-infrared albedo and infrared brightness temperatures). The remaining 26 variables are cloud parameters such as cloud/overshooting-top mask, cloud type, cloud top height, cloud optical thickness, cloud particle effective radius, and cloud motion vectors, generated using a series of cloud retrieval algorithms developed by Dr. Zhuge. As the first part of NJIAS HTCFD, this dataset covers the six-year period from 2016 to 2021, with a temporal resolution of 30 min and a spatial resolution of 0.02°.
description: The NJIAS HTCFD provides a comprehensive description of radiance and cloud features within a 20° × 20° longitude-latitude grid box surrounding the center of west North Pacific typhoons. It includes 36 variables, with 10 being the visible and infrared measurements from the Advanced Himawari Imager onboard the Japanese geostationary satellites Himawari-8/9 (i.e., visible and near-infrared albedo and infrared brightness temperatures). The remaining 26 variables are cloud parameters such as cloud/overshooting-top mask, cloud type, cloud top height, cloud optical thickness, cloud particle effective radius, and cloud motion vectors, generated using a series of cloud retrieval algorithms developed by Dr. Zhuge. As the first part of NJIAS HTCFD, this dataset covers the six-year period from 2016 to 2021, with a temporal resolution of 30 min and a spatial resolution of 0.02°.
DOI: 10.57760/sciencedb.07602
title: Avocado T2T genome sequencing project
title: 鳄梨T2T基因组测序项目

description: To assemble the telomere to telomere genome of Persea americana, we sequenced the whole genome sequence and transcriptome of avocado using ONT Ultra-Long, PacBio HiFi, and MGI sequencing platforms. The data was generated in 2023.
description: To assemble the telomere to telomere genome of Persea americana, we sequenced the whole genome sequence and transcriptome of avocado using ONT Ultra-Long, PacBio HiFi, and MGI sequencing platforms. The data was generated in 2023.
DOI: 10.57760/sciencedb.15536
title: Ti-ABSA：藏文方面级情感分析数据集
title: Ti-ABSA：藏文方面级情感分析数据集

description: 基于藏语的情感分析数据集 Ti ABSA 由微博数据和微博评论数据两部分组成。这两个部分都包含三个情绪类别：积极、消极和中立。Ti ABSA 数据集共包含 10577 个样本，其中微博数据集 5872 个样本，微博评论数据集 4705 个样本。数据集以 JSON 格式存储，每个文件包含三个字段：text、aspectTerm 和 aspectPolarity。text 字段记录藏文文本的内容;aspectTerm 字段捕获文本中的藏文 aspect 项（表示正在评估的特定对象或 face），而 aspectPolarity 字段记录与每个 aspect 项对应的情感极性。情绪极性分为积极、中性或消极，分别由值 2、1 和 0 表示。微博数据共包含 36705 个方面词，而微博评论包含 9043 个方面词。
description: 基于藏语的情感分析数据集 Ti ABSA 由微博数据和微博评论数据两部分组成。这两个部分都包含三个情绪类别：积极、消极和中立。Ti ABSA 数据集共包含 10577 个样本，其中微博数据集 5872 个样本，微博评论数据集 4705 个样本。数据集以 JSON 格式存储，每个文件包含三个字段：text、aspectTerm 和 aspectPolarity。text 字段记录藏文文本的内容;aspectTerm 字段捕获文本中的藏文 aspect 项（表示正在评估的特定对象或 face），而 aspectPolarity 字段记录与每个 aspect 项对应的情感极性。情绪极性分为积极、中性或消极，分别由值 2、1 和 0 表示。微博数据共包含 36705 个方面词，而微博评论包含 9043 个方面词。
DOI: 10.57760/sciencedb.ai.00003
title: CID-SIMS Dataset
title: CID-SIMS Dataset

description: To advance research in leveraging semantic information and multi-sensor data to enhance the performances of SLAM and 3D reconstruction in complex indoor scenes, we propose a novel and complex indoor dataset named CID-SIMS, where semantic annotated RGBD images, inertial measurement unit (IMU) measurements and wheel odometer data are provided from a ground wheeled robot viewpoint. The dataset consists of 22 challenging sequences captured in 9 different scenes including office building and apartment environments. Notably, our dataset achieves two significant breakthroughs. Firstly, semantic information and multi-sensor data are provided meanwhile for the first time. Secondly, GeoSLAM is utilized for the first time to generate ground truth trajectories and 3D point clouds within 2 cm accuracy. With spatial-temporal synchronous ground truth trajectories and 3D point clouds, our dataset is capable of evaluating SLAM and 3D reconstruction algorithms in a unified global coordinate system.
description: To advance research in leveraging semantic information and multi-sensor data to enhance the performances of SLAM and 3D reconstruction in complex indoor scenes, we propose a novel and complex indoor dataset named CID-SIMS, where semantic annotated RGBD images, inertial measurement unit (IMU) measurements and wheel odometer data are provided from a ground wheeled robot viewpoint. The dataset consists of 22 challenging sequences captured in 9 different scenes including office building and apartment environments. Notably, our dataset achieves two significant breakthroughs. Firstly, semantic information and multi-sensor data are provided meanwhile for the first time. Secondly, GeoSLAM is utilized for the first time to generate ground truth trajectories and 3D point clouds within 2 cm accuracy. With spatial-temporal synchronous ground truth trajectories and 3D point clouds, our dataset is capable of evaluating SLAM and 3D reconstruction algorithms in a unified global coordinate system.
DOI: 10.57760/sciencedb.03329
title: A dataset of quadrat sampling of 455 herb quadrats in Huangshui River Basin, Qinghai Province
title: 青海省湟水河流域455个草本植物样方调查数据集

description: As a key tributary of the upper Yellow River, originating from Haiyan County, Tibetan Autonomous Prefecture of Haibei, Qinghai Province, Huangshui River flows through Xining City and Haidong City in Qinghai Province, China. Obtaining the basic data of plant communities in Huangshui River Basin is critical to assessing the ecosystem functions and services of the Qinghai-Tibet Plateau and studying its feedback effect on global environmental changes. In this paper, we collated the data from two field surveys of herb communities conducted in the summers of 2021 and 2022 in Huangshui River Basin in Xining City, Haidong City and Haiyan County of Haibei Tibetan Autonomous Prefecture, with a total of 455 quadrats comprising 4,113 records and 277 plant species (55 families and 172 genera). We then calculated the diversity indexes (i.e. species richness, Shannon-Wiener index, Pielou index, and Simpson index) of plant communities. The results can serve as a guide for the future research on plant communities and ecosystems, and biodiversity management in Huangshui River Basin of the Qinghai-Tibet Plateau.
description: As a key tributary of the upper Yellow River, originating from Haiyan County, Tibetan Autonomous Prefecture of Haibei, Qinghai Province, Huangshui River flows through Xining City and Haidong City in Qinghai Province, China. Obtaining the basic data of plant communities in Huangshui River Basin is critical to assessing the ecosystem functions and services of the Qinghai-Tibet Plateau and studying its feedback effect on global environmental changes. In this paper, we collated the data from two field surveys of herb communities conducted in the summers of 2021 and 2022 in Huangshui River Basin in Xining City, Haidong City and Haiyan County of Haibei Tibetan Autonomous Prefecture, with a total of 455 quadrats comprising 4,113 records and 277 plant species (55 families and 172 genera). We then calculated the diversity indexes (i.e. species richness, Shannon-Wiener index, Pielou index, and Simpson index) of plant communities. The results can serve as a guide for the future research on plant communities and ecosystems, and biodiversity management in Huangshui River Basin of the Qinghai-Tibet Plateau.
DOI: 10.57760/sciencedb.o00119.00025
title: A dataset of carbon, water and heat fluxes over an Elymus nutans artificial grassland in the Sanjiangyuan Area (2012–2016)
title: 2012-2016年三江源垂穗披碱草人工草地碳水热通量观测数据集

description: This dataset includes routine meteorological data subset (air temperature, air relative humidity, water vapor pressure, soil temperature, soil moisture, photosynthetically active radiation, and precipitation) and carbon, water, and heat fluxes data subset (net ecosystem CO2 exchange, ecosystem CO2 respiration, gross ecosystem CO2 exchange, latent heat flux, and sensible heat flux) on a half-hour, day, month, and year scale. This dataset provides field observational data support for scientific knowledge, remote sensing retrieval, and model validation in exploring spatiotemporal patterns of carbon, water, and heat exchanges in Elymus nutans artificial grassland.
description: This dataset includes routine meteorological data subset (air temperature, air relative humidity, water vapor pressure, soil temperature, soil moisture, photosynthetically active radiation, and precipitation) and carbon, water, and heat fluxes data subset (net ecosystem CO2 exchange, ecosystem CO2 respiration, gross ecosystem CO2 exchange, latent heat flux, and sensible heat flux) on a half-hour, day, month, and year scale. This dataset provides field observational data support for scientific knowledge, remote sensing retrieval, and model validation in exploring spatiotemporal patterns of carbon, water, and heat exchanges in Elymus nutans artificial grassland.
DOI: 10.57760/sciencedb.o00119.00011
title: A dataset of daily water consumption records for maize at Shiyanghe Experimental Station of China Agricultural University during 2009-2016
title: 2009–2016年中国农业大学石羊河实验站玉米日耗水量数据集

description: A good understanding of the variation in crop water consumption in farming systems is essential for studying the patterns of water consumption by crops at various growth stages. Based on this, this dataset provides the maize evaporation and precipitation intensity data measured by a large-scale lysimeter at Shiyanghe Experimental Station of China Agricultural University from 2009 to 2016, with a temporal resolution of daily scale. The irrigation method is border irrigation. The data acquisition and processing process strictly follows the instrumental data quality control and specifications. After data processing, quality control and evaluation, the data are made public on a daily scale with a view to providing a basis for the efficient use of regional agricultural water resources.
description: A good understanding of the variation in crop water consumption in farming systems is essential for studying the patterns of water consumption by crops at various growth stages. Based on this, this dataset provides the maize evaporation and precipitation intensity data measured by a large-scale lysimeter at Shiyanghe Experimental Station of China Agricultural University from 2009 to 2016, with a temporal resolution of daily scale. The irrigation method is border irrigation. The data acquisition and processing process strictly follows the instrumental data quality control and specifications. After data processing, quality control and evaluation, the data are made public on a daily scale with a view to providing a basis for the efficient use of regional agricultural water resources.
DOI: 10.15468/dl.u29c87
title: Occurrence Download

description: A dataset containing 239105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos L.f., Arthurdendyus triangulatus (Dendy, 1895), Cabomba caroliniana A.Gray, Callosciurus finlaysonii (Horsfield, 1823), Cherax destructor Clark, 1936, Corvus splendens Vieillot, 1817, Crassula helmsii (Kirk) Cockayne, Elodea densa (Planch.) Casp., Eriocheir sinensis H.Milne Edwards, 1853, Erythranthe guttata (DC.) G.L.Nesom, Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Faxonius virilis (Hagen, 1870), Gambusia affinis (Baird & Girard, 1853), Heracleum mantegazzianum Sommier & Levier, Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Heracleum pubescens (Hoffm.) M.Bieb., Houttuynia cordata Thunb., Hydrocotyle ranunculoides L.f., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Lagarosiphon major (Ridl.) Moss, Lepomis gibbosus (Linnaeus, 1758), Limnoperna fortunei (Dunker, 1857), Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven, Lysichiton americanus Hultén & H.St.John, Morone americana (Gmelin, 1789), Muntiacus reevesi (Ogilby, 1839), Myriophyllum aquaticum (Vell.) Verdc., Myriophyllum heterophyllum Michx., Pacifastacus leniusculus (Dana, 1852), Petasites japonicus (Siebold & Zucc.) Maxim., Pontederia cordata L., Procambarus acutus (Girard, 1852), Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Pseudorasbora parva (Temminck & Schlegel, 1846), Pycnonotus cafer (Linnaeus, 1766), Saururus cernuus L., Sciurus carolinensis Gmelin, 1788, Sciurus niger Linnaeus, 1758, Solenopsis invicta Buren, 1972, Solenopsis richteri Forel, 1909, Threskiornis aethiopicus (Latham, 1790), Vespa velutina Lepeletier, 1836, Zizania latifolia (Griseb.) Hance ex F.Muell.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 239105 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001410-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.14709
title: 1954-2022 China's Policy Stringency on Climate Change
title: 1954-2022 China's Policy Stringency on Climate Change

description: Our dataset offers a comprehensive overview spanning 70 years of China's policy stringency on climate change, encapsulating the period from the inaugural five-year plan in 1954 to 2022. It delineates a chronology of pivotal moments in China's endeavors to address climate change. The dataset comprises all policies with potential climate change implications promulgated by the central government, meticulously documented in the State Council Gazette annually, along with their corresponding policy stringency. The policy number assigned in the dataset (e.g., 201317437) represents the annual tally of archived policies.
description: Our dataset offers a comprehensive overview spanning 70 years of China's policy stringency on climate change, encapsulating the period from the inaugural five-year plan in 1954 to 2022. It delineates a chronology of pivotal moments in China's endeavors to address climate change. The dataset comprises all policies with potential climate change implications promulgated by the central government, meticulously documented in the State Council Gazette annually, along with their corresponding policy stringency. The policy number assigned in the dataset (e.g., 201317437) represents the annual tally of archived policies.
DOI: 10.57760/sciencedb.17226
title: High resolution modeling of sediment in the coastal waters of the Northern Bay of Bengal (original data)
title: High resolution modeling of sediment in the coastal waters of the Northern Bay of Bengal (original data)

description: The high-resolution dataset of sediment in the coastal waters of the Northern Bay of Bengal is an output of ROMS-CSTMS modeling for the ten years’ climatological run. Regional Ocean Modeling System (ROMS) - Community Sediment Transport Modeling System (CSTMS) model used to acquire a dataset of physical variables and sediment on the continental shelf of India and countries adjacent to the Northern Bay of Bengal. The high-resolution model resolved the complex bathymetry from ETOPO2, forced by COADS climatological winds. Furthermore, the tides are taken from TPXO7 and the lateral boundaries from SODA, with the initial condition from WOA09 and the sediment concentration set to zero in the simulation. The river discharge as the point source of nine rivers in our domain was obtained from Dai and Trenberth climatology. The raw data from two alternative simulations was obtained with and without waterways. The Large-McWilliams-Doney (LMD) vertical mixing scheme was used in both scenarios for the simulations. The output data was stored in the NetCDF format for 12 months with daily data availability in two different cases: with and without river simulation.
description: The high-resolution dataset of sediment in the coastal waters of the Northern Bay of Bengal is an output of ROMS-CSTMS modeling for the ten years’ climatological run. Regional Ocean Modeling System (ROMS) - Community Sediment Transport Modeling System (CSTMS) model used to acquire a dataset of physical variables and sediment on the continental shelf of India and countries adjacent to the Northern Bay of Bengal. The high-resolution model resolved the complex bathymetry from ETOPO2, forced by COADS climatological winds. Furthermore, the tides are taken from TPXO7 and the lateral boundaries from SODA, with the initial condition from WOA09 and the sediment concentration set to zero in the simulation. The river discharge as the point source of nine rivers in our domain was obtained from Dai and Trenberth climatology. The raw data from two alternative simulations was obtained with and without waterways. The Large-McWilliams-Doney (LMD) vertical mixing scheme was used in both scenarios for the simulations. The output data was stored in the NetCDF format for 12 months with daily data availability in two different cases: with and without river simulation.
DOI: 10.57760/sciencedb.08720
title: Experimental dataset for ‘Elevated Heterotrophic Prokaryotic Production Supported by Low Nucleic Acid Prokaryotes at a Cyclonic Eddy Edge in the Northwest Pacific’
title: Experimental dataset for ‘Elevated Heterotrophic Prokaryotic Production Supported by Low Nucleic Acid Prokaryotes at a Cyclonic Eddy Edge in the Northwest Pacific’

description: This dataset accompanies the manuscript ‘Elevated Heterotrophic Prokaryotic Production Supported by Low Nucleic Acid Prokaryotes at a Cyclonic Eddy Edge in the Northwest Pacific’ by Ni et al. The dataset consists of information of physical, chemical, picoplankton abundance and heterotrophic prokaryotic production response to a cyclonic eddy in the Northwest Pacific.
description: This dataset accompanies the manuscript ‘Elevated Heterotrophic Prokaryotic Production Supported by Low Nucleic Acid Prokaryotes at a Cyclonic Eddy Edge in the Northwest Pacific’ by Ni et al. The dataset consists of information of physical, chemical, picoplankton abundance and heterotrophic prokaryotic production response to a cyclonic eddy in the Northwest Pacific.
DOI: 10.57760/sciencedb.12876
title: The 30 m annual soil water erosion dataset in Chinese mainland from 1990 to 2022
title: The 30 m annual soil water erosion dataset in Chinese mainland from 1990 to 2022

description: This dataset is the 30m hydraulic erosion data of Chinese mainland from 1990 to 2022 (t/(hm2 a)), constructed based on Google Earth Engine and the Revised Universal Soil Loss Equation (RUSLE). The RUSLE formula includes five factors: Cover management factor(C), Soil erodibility factor(K), Slope length and steepness factor(LS), Rainfall erosivity factor(R), and Support practice factor(P). By multiplying these five factors, the soil erosion modulus can be obtained. Among them, a random forest interpolation method for rainfall data is introduced to obtain 30 m annual rainfall data and a multi-equation combined vegetation cover management factor tailored to the soil characteristics of mainland China is designed. Each zip file contains soil erosion data for 31 provinces in Chinese mainland. All files in this dataset are in TIFF format. Each province has been divided into multiple tiles based on its area size. To use this dataset, it is necessary to mosaic each tile of a province together. This dataset not only enables the public to have a more comprehensive and in-depth understanding of the serious harm of soil erosion but also provides regional, precise, and scientific basis for government decision-making.
description: This dataset is the 30m hydraulic erosion data of Chinese mainland from 1990 to 2022 (t/(hm2 a)), constructed based on Google Earth Engine and the Revised Universal Soil Loss Equation (RUSLE). The RUSLE formula includes five factors: Cover management factor(C), Soil erodibility factor(K), Slope length and steepness factor(LS), Rainfall erosivity factor(R), and Support practice factor(P). By multiplying these five factors, the soil erosion modulus can be obtained. Among them, a random forest interpolation method for rainfall data is introduced to obtain 30 m annual rainfall data and a multi-equation combined vegetation cover management factor tailored to the soil characteristics of mainland China is designed. Each zip file contains soil erosion data for 31 provinces in Chinese mainland. All files in this dataset are in TIFF format. Each province has been divided into multiple tiles based on its area size. To use this dataset, it is necessary to mosaic each tile of a province together. This dataset not only enables the public to have a more comprehensive and in-depth understanding of the serious harm of soil erosion but also provides regional, precise, and scientific basis for government decision-making.