cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w55ays
title: Occurrence Download

description: A dataset containing 839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.80566 40.92996,-2.43913 40.92996,-2.43913 41.17155,-2.80566 41.17155,-2.80566 40.92996))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 839 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001405-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.02666
title: GWAS summary statistics
title: GWAS summary statistics

description: A GWAS was performed and the association results are reported here for each SNP.
description: A GWAS was performed and the association results are reported here for each SNP.
DOI: 10.57760/sciencedb.07875
title: Sentiment analysis usage in business management: a taxonomy proposal
title: Sentiment analysis usage in business management: a taxonomy proposal

description: This database presents the data that led to the creation of a taxonomy that categorizes the use of sentiment analysis in business management, according to various functional areas, information sources, implemented methods, and economic activities.
description: This database presents the data that led to the creation of a taxonomy that categorizes the use of sentiment analysis in business management, according to various functional areas, information sources, implemented methods, and economic activities.
DOI: 10.57760/sciencedb.o00009.00076
title: A dataset of field-aligned Poynting flux in the dayside polar cap of the northern hemisphere during 2014-2016
title: 2014–2016年北半球日侧极盖区的场向Poynting通量数据集

description: Field-aligned Poynting flux is obtained by using in-situ measurements of ion velocity converted to convection electric field, and magnetic field perturbation based on three years of observations at ∼850 km made by the Defense Meteorological Satellite Program (DMSP) F17. The positive field-aligned Poynting flux represents the electromagnetic energy flowing parallel to the magnetic field line to the Earth, and vice versa. Field-aligned Poynting flux with 1 s time resolution are mapped to the magnetic latitude (MLAT) / magnetic local time (MLT) coordinate system, then binned to 1°× 0.5 h cells in the dayside polar cap. The mean of the calculated PF in each cell is taken as the cell value. This results in the field-aligned Poynting flux distribution in the dayside polar cap.
description: Field-aligned Poynting flux is obtained by using in-situ measurements of ion velocity converted to convection electric field, and magnetic field perturbation based on three years of observations at ∼850 km made by the Defense Meteorological Satellite Program (DMSP) F17. The positive field-aligned Poynting flux represents the electromagnetic energy flowing parallel to the magnetic field line to the Earth, and vice versa. Field-aligned Poynting flux with 1 s time resolution are mapped to the magnetic latitude (MLAT) / magnetic local time (MLT) coordinate system, then binned to 1°× 0.5 h cells in the dayside polar cap. The mean of the calculated PF in each cell is taken as the cell value. This results in the field-aligned Poynting flux distribution in the dayside polar cap.
DOI: 10.57760/sciencedb.o00119.00043
title: A dataset of carbon and water fluxes of the temperate desert steppe in Damao Banner, Inner Mongolia (2015–2018)
title: 2015-2018年内蒙古达茂荒漠草原碳水通量观测数据集

description: Eddy correlation technology is an important observation method for the precise and long-term continuous measurement of carbon-water flux in ecosystems. The observations can provide important data support for studying carbon and water cycle processes and mechanisms in terrestrial ecosystems and evaluating ecosystem carbon income and expenditure. Damao Desert Steppe Station (Damao Station) is one of the member stations of the Chinese FLUX Observation and Research Network, located in Baotou City, central Inner Mongolia Autonomous Region. The vegetation in the station area is a typical example of warm desert grassland in China, primarily composed of needlegrass communities. Based on the eddy covariance method, Damao station has been carrying out integrated observations of ecosystem carbon and water fluxes for a long term. This dataset compiles the observation data from Damao Station from 2015 to 2018 pursuant to the strict data processing system of ChinaFLUX. It is a standardized dataset of ecosystem CO2 flux, water and heat flux, and corresponding meteorological elements, including the data products at half-hourly, daily, monthly, and yearly scales.
description: Eddy correlation technology is an important observation method for the precise and long-term continuous measurement of carbon-water flux in ecosystems. The observations can provide important data support for studying carbon and water cycle processes and mechanisms in terrestrial ecosystems and evaluating ecosystem carbon income and expenditure. Damao Desert Steppe Station (Damao Station) is one of the member stations of the Chinese FLUX Observation and Research Network, located in Baotou City, central Inner Mongolia Autonomous Region. The vegetation in the station area is a typical example of warm desert grassland in China, primarily composed of needlegrass communities. Based on the eddy covariance method, Damao station has been carrying out integrated observations of ecosystem carbon and water fluxes for a long term. This dataset compiles the observation data from Damao Station from 2015 to 2018 pursuant to the strict data processing system of ChinaFLUX. It is a standardized dataset of ecosystem CO2 flux, water and heat flux, and corresponding meteorological elements, including the data products at half-hourly, daily, monthly, and yearly scales.
DOI: 10.57760/sciencedb.06487
title: A dataset of pig feces and urine components in the Scientific Observation and Experiment Station of Livestock Equipment Engineering in Southwest of the Ministry of Agriculture and Rural Affairs in 2018
title: 2018年农业农村部西南设施养殖工程科学观测实验站生猪粪尿成分数据集

description: The monitoring experiment of this data set began in the summer of 2018 and monitored for four consecutive quarters. The experimental animals in each quarter included nursery pigs (about 20kg), fatting pigs (about 70kg) and breeding sows in three growth stages. Fecal data included water content, organic matter, ammonia nitrogen, total nitrogen, total phosphorus and heavy metal contents (copper and zinc), while urine data included COD, ammonia nitrogen, Kjelner nitrogen, total nitrogen, total phosphorus and pH.
description: The monitoring experiment of this data set began in the summer of 2018 and monitored for four consecutive quarters. The experimental animals in each quarter included nursery pigs (about 20kg), fatting pigs (about 70kg) and breeding sows in three growth stages. Fecal data included water content, organic matter, ammonia nitrogen, total nitrogen, total phosphorus and heavy metal contents (copper and zinc), while urine data included COD, ammonia nitrogen, Kjelner nitrogen, total nitrogen, total phosphorus and pH.
DOI: 10.57760/sciencedb.ecodb.00098
title: Soil water storage dataset of typical ecosystems in arid and semi-arid areas of China, 2005-2017
title: 2005-2017年中国干旱半干旱区典型生态系统土壤储水量数据集

description: The long-term observation data of soil moisture from eight ecosystem observation and research stations of the Chinese Ecosystem Research Network (CERN) located in the arid and semi-arid region of China during 2005 - 2017 are collected and sorted out and converted to the corresponding soil water storage dataset through quality control, spatial and temporal normalization, statistical calculation. It can provide long-term data support for understanding distribution and change of soil water storage in typical ecosystems in arid and semi-arid areas of China.
description: The long-term observation data of soil moisture from eight ecosystem observation and research stations of the Chinese Ecosystem Research Network (CERN) located in the arid and semi-arid region of China during 2005 - 2017 are collected and sorted out and converted to the corresponding soil water storage dataset through quality control, spatial and temporal normalization, statistical calculation. It can provide long-term data support for understanding distribution and change of soil water storage in typical ecosystems in arid and semi-arid areas of China.
DOI: 10.15468/dl.fzhhge
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Argentina",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (July, January)",
 "TaxonKey is Vultur gryphus Linnaeus, 1758",
 "Year is 2024"
 ]
}

 The dataset includes 71 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001411-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00001.00802
title: A dataset of Liaoning soil species based on the Second National Soil Survey
title: 基于第二次全国土壤普查的辽宁土种志数据集

description: A dataset of Liaoning soil species based on Liaoning Soil Species published by Liaoning University Press in 1991, is one of the results of the Second National Soil Survey in Liaoning Province. We standardize, structurize and digitalize the data of 237 soil species based on their distribution areas, morphologic characteristics, physicochemical properties and productivity. Particularly, the dataset uses seven tables delineating Liaoning soil species, including soil classification, soil basic traits, landscape of typical soil profile, genetic horizon of typical soil, physicochemical properties of typical soil profile, administrative region distribution of soil species, and the names of counties and cities. The dataset can be used for land quality assessment and research on environmental change and soil carbon sequestration. The dataset is important for agricultural structure adjustment and rational use of soil resources. The dataset is also an important reference for the Third National Soil Survey in Liaoning Province.
description: A dataset of Liaoning soil species based on Liaoning Soil Species published by Liaoning University Press in 1991, is one of the results of the Second National Soil Survey in Liaoning Province. We standardize, structurize and digitalize the data of 237 soil species based on their distribution areas, morphologic characteristics, physicochemical properties and productivity. Particularly, the dataset uses seven tables delineating Liaoning soil species, including soil classification, soil basic traits, landscape of typical soil profile, genetic horizon of typical soil, physicochemical properties of typical soil profile, administrative region distribution of soil species, and the names of counties and cities. The dataset can be used for land quality assessment and research on environmental change and soil carbon sequestration. The dataset is important for agricultural structure adjustment and rational use of soil resources. The dataset is also an important reference for the Third National Soil Survey in Liaoning Province.
DOI: 10.57760/sciencedb.06879
title: A dataset of the daily flux in the typical grain and grass complex ecosystem on the Loess Plateau from 2019 to 2021
title: 2019–2021年黄土高原典型粮草复合生态系统日通量数据集

description: The dataset includes 18 indexes: net ecosystem productivity, total ecosystem productivity, ecosystem respiration, evapotranspiration, sensible heat flux, latent heat flux, soil heat flux, net radiation, photosynthetic effective radiation, saturated vapor pressure difference, air temperature, air humidity, wind speed, wind direction, soil temperature, soil volume water content, rainfall, atmospheric pressure. Table consists of 1,096 daily data.
description: The dataset includes 18 indexes: net ecosystem productivity, total ecosystem productivity, ecosystem respiration, evapotranspiration, sensible heat flux, latent heat flux, soil heat flux, net radiation, photosynthetic effective radiation, saturated vapor pressure difference, air temperature, air humidity, wind speed, wind direction, soil temperature, soil volume water content, rainfall, atmospheric pressure. Table consists of 1,096 daily data.
DOI: 10.57760/sciencedb.02116
title: Acute stress impairs target enhancement but not distractor suppression in attention selection: Evidence from the N2pc and Pd
title: Acute stress impairs target enhancement but not distractor suppression in attention selection: Evidence from the N2pc and Pd

description: This repository contains data and code for the paper entitled "Acute stress impairs target enhancement but not distractor suppression in attention selection: Evidence from the N2pc and Pd".
description: This repository contains data and code for the paper entitled "Acute stress impairs target enhancement but not distractor suppression in attention selection: Evidence from the N2pc and Pd".
DOI: 10.57760/sciencedb.o00119.00069
title: A dataset of the UAV remote sensing spatial distribution of Spartina alterniflora in the Zhangjiang Estuary of Fujian Province from 2013 to 2022
title: 2013–2022年福建漳江口互花米草分布无人机遥感数据集

description: This remote sensing image dataset includes orthomosaics and Spartina alterniflora spatial data, derived from drone-based RGB photos over Zhangjiang Estuary, Fujian Province from 2013 to 2022. The drone photos were collected via automatic flight planning mainly during daytime low-tide periods. Based on the structure-from-motion three-dimension reconstruction technique, for each campaign the drone photos can be mosaiced into a digital orthophoto map, which is then used for extracting the spatial distribution of Spartina alterniflora.        The dataset contains 2 folders including 10 orthomosaics and 10 Spartina alterniflora data, respectively. The file sizes are 1.7GB and 10.7MB for the orthomosaics and Spartina alterniflora data, respectively. All the data are in TIF format, and you can use GIS or remote sensing softwares like ArcGIS and ENVI to open them. The orthomosaics are named as "date-DOM" or the datasets with network RTK positioning service are named as "date-DOM-RTK". For example, the orthmosaic in June, 2022 is named as "202206-DOM-RTK.tif". Spartina alterniflora datasets are named "date-classified". The resolution of all data is 20 cm and the coordinate system is WGS84/UTM zone 50N. The drones used are different for these flights, and there is a slight deviation in positioning accuracy.
description: This remote sensing image dataset includes orthomosaics and Spartina alterniflora spatial data, derived from drone-based RGB photos over Zhangjiang Estuary, Fujian Province from 2013 to 2022. The drone photos were collected via automatic flight planning mainly during daytime low-tide periods. Based on the structure-from-motion three-dimension reconstruction technique, for each campaign the drone photos can be mosaiced into a digital orthophoto map, which is then used for extracting the spatial distribution of Spartina alterniflora.        The dataset contains 2 folders including 10 orthomosaics and 10 Spartina alterniflora data, respectively. The file sizes are 1.7GB and 10.7MB for the orthomosaics and Spartina alterniflora data, respectively. All the data are in TIF format, and you can use GIS or remote sensing softwares like ArcGIS and ENVI to open them. The orthomosaics are named as "date-DOM" or the datasets with network RTK positioning service are named as "date-DOM-RTK". For example, the orthmosaic in June, 2022 is named as "202206-DOM-RTK.tif". Spartina alterniflora datasets are named "date-classified". The resolution of all data is 20 cm and the coordinate system is WGS84/UTM zone 50N. The drones used are different for these flights, and there is a slight deviation in positioning accuracy.
DOI: 10.57760/sciencedb.07754
title: A dataset of soil microbial enzyme activities and nitrogen cycling functional genes in Puding County of Guizhou Province
title: 贵州普定土壤酶活性和氮循环功能基因数据集

description: This dataset includes the data on soil microbial enzyme activities and nitrogen cycling functional genes under five vegetation types from Chenqi Catchment (farmland, abandoned farmland, shrubland, and secondary forest) and Tianlong Mountain (primary forest) at the Puding Karst Station in 2016 and 2018. The dataset consists of one excel file with 8 sheets, covering the basic information of the profile soils at the study sites in 2016, soil enzymes activities, nitrogen cycling functional gene abundance and nitrogen transformation rate, microbial living biomass, microbial residue carbon, and soil physicochemical properties of profile soils along soil profiles ranging from surface to bedrock layer under the different vegetation types of 2016. Furthermore, the dataset also includes physicochemical properties and enzyme activities of the rhizosphere soils in the primary forest of 2018.
description: This dataset includes the data on soil microbial enzyme activities and nitrogen cycling functional genes under five vegetation types from Chenqi Catchment (farmland, abandoned farmland, shrubland, and secondary forest) and Tianlong Mountain (primary forest) at the Puding Karst Station in 2016 and 2018. The dataset consists of one excel file with 8 sheets, covering the basic information of the profile soils at the study sites in 2016, soil enzymes activities, nitrogen cycling functional gene abundance and nitrogen transformation rate, microbial living biomass, microbial residue carbon, and soil physicochemical properties of profile soils along soil profiles ranging from surface to bedrock layer under the different vegetation types of 2016. Furthermore, the dataset also includes physicochemical properties and enzyme activities of the rhizosphere soils in the primary forest of 2018.
DOI: 10.57760/sciencedb.o00119.00035
title: A dataset of carbon and water fluxes over typical ecosystems in Beijing Yanshan hilly regions (2020 – 2021)
title: 2020–2021年北京燕山山地丘陵区典型生态系统碳水通量观测数据集

description: The wide application of eddy covariance technology in water and carbon flux research has largely improved our understanding of carbon sinks and sources in terrestrial ecosystems. However, as the key ecological barrier of Beijing, the carbon dynamics of Yanshan area remain unclear, particularly for the shrub ecosystems. This dataset is the flux data from the Yanshan hilly regions in Huairou, Beijing (2020 to 2021), which contains three ecosystems − the montane shrubland, arbor-shrub mixed forest and coniferous forest. This dataset is generated and analyzed in strict compliance with the ChinaFLUX standards of ecosystem carbon water flux and meteorological data. It can help with studying the response and mechanism of Yanshan carbon sink to global change.
description: The wide application of eddy covariance technology in water and carbon flux research has largely improved our understanding of carbon sinks and sources in terrestrial ecosystems. However, as the key ecological barrier of Beijing, the carbon dynamics of Yanshan area remain unclear, particularly for the shrub ecosystems. This dataset is the flux data from the Yanshan hilly regions in Huairou, Beijing (2020 to 2021), which contains three ecosystems − the montane shrubland, arbor-shrub mixed forest and coniferous forest. This dataset is generated and analyzed in strict compliance with the ChinaFLUX standards of ecosystem carbon water flux and meteorological data. It can help with studying the response and mechanism of Yanshan carbon sink to global change.
DOI: 10.57760/sciencedb.o00115.00091
title: Dataset for the Name–Job Association Project
title: Dataset for the Name–Job Association Project

description: This dataset includes data files, R analysis code files, and a codebook for all studies reported in the article “Do Unique Names Fit People for Creative Work? Implications for Job Recruitment, Name Change, and Product Evaluation” (https://doi.org/10.1002/ejsp.2994). The codebook provides a detailed description of the variables used in each study. For methodological details, please see our article.
description: This dataset includes data files, R analysis code files, and a codebook for all studies reported in the article “Do Unique Names Fit People for Creative Work? Implications for Job Recruitment, Name Change, and Product Evaluation” (https://doi.org/10.1002/ejsp.2994). The codebook provides a detailed description of the variables used in each study. For methodological details, please see our article.
DOI: 10.57760/sciencedb.09950
title: NJIAS Himawari-8/9 Cloud Feature Dataset (HCFD)–0.04Deg. Part I: 2016–2017
title: NJIAS Himawari-8/9 Cloud Feature Dataset (HCFD)–0.04Deg. Part I: 2016–2017

description: The NJIAS HCFD–0.04Deg provides a comprehensive description of cloud features over the west North Pacific regions spanning 10°N–50°N and 90°E–170°W. It includes 26 variables, such as cloud mask, type, top height, optical thickness, and particle effective radius, as well as snow and dust masks, which were generated from the visible and infrared measurements of the Advanced Himawari Imager onboard the Japanese geostationary satellites Himawari-8/9, based on a series of cloud retrieval algorithms developed by Dr. Zhuge. As the first part of NJIAS HCFD–0.04Deg, this dataset covers the period from April 2016 to December 2017, with a temporal resolution of 30 min and a spatial resolution of 0.04°.
description: The NJIAS HCFD–0.04Deg provides a comprehensive description of cloud features over the west North Pacific regions spanning 10°N–50°N and 90°E–170°W. It includes 26 variables, such as cloud mask, type, top height, optical thickness, and particle effective radius, as well as snow and dust masks, which were generated from the visible and infrared measurements of the Advanced Himawari Imager onboard the Japanese geostationary satellites Himawari-8/9, based on a series of cloud retrieval algorithms developed by Dr. Zhuge. As the first part of NJIAS HCFD–0.04Deg, this dataset covers the period from April 2016 to December 2017, with a temporal resolution of 30 min and a spatial resolution of 0.04°.
DOI: 10.15468/dl.894kpy
title: Occurrence Download

description: A dataset containing 192931 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UK Ladybird Survey data from iRecord"
 ]
}

 The dataset includes 192931 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001413-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.13342
title: A 3D nanoscale optical disc memory with petabit capacity
title: A 3D nanoscale optical disc memory with petabit capacity

description: The data that support the plots within this paper and other findings of this study.
description: The data that support the plots within this paper and other findings of this study.