cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.o00119.00063
title: A dataset of carbon and water fluxes of the boreal forest ecosystem in Huzhong (2014 – 2018)
title: 2014-2018年呼中北方林森林生态系统碳水通量观测数据集

description: As an important component of the global carbon pool, boreal forests have attracted much attention in the research on climate change and carbon cycle due to their extreme sensitivity to climate warming. Located in the largest cold-temperate coniferous forest ecosystem nature reserve in China, China Boreal Forest Ecosystem Research Station (Huzhong Station) is one of the member stations of Chinese FLUX Observation and Research Network (ChinaFLUX), which has conducted long-term carbon and water flux observations of boreal forest ecosystems based on eddy covariance techniques since 2006. Following the ChinaFLUX data processing protocols, we collected the carbon and water fluxes and auxiliary meteorological environment observations of the boreal forest ecosystem at Huzhong Station from 2014 to 2018. Processing the data in a standard process, we formed a standardized dataset with four time scales, namely half-hourly, daily, monthly and yearly. The dataset is expected to provide data support for the studies on climate change, boreal forest ecosystem carbon, as well as water and energy balance.
description: As an important component of the global carbon pool, boreal forests have attracted much attention in the research on climate change and carbon cycle due to their extreme sensitivity to climate warming. Located in the largest cold-temperate coniferous forest ecosystem nature reserve in China, China Boreal Forest Ecosystem Research Station (Huzhong Station) is one of the member stations of Chinese FLUX Observation and Research Network (ChinaFLUX), which has conducted long-term carbon and water flux observations of boreal forest ecosystems based on eddy covariance techniques since 2006. Following the ChinaFLUX data processing protocols, we collected the carbon and water fluxes and auxiliary meteorological environment observations of the boreal forest ecosystem at Huzhong Station from 2014 to 2018. Processing the data in a standard process, we formed a standardized dataset with four time scales, namely half-hourly, daily, monthly and yearly. The dataset is expected to provide data support for the studies on climate change, boreal forest ecosystem carbon, as well as water and energy balance.
DOI: 10.57760/sciencedb.j00001.00779
title: A dataset of carbon and water flux observed in aquaculture ponds in Quanjiao, Anhui Province from 2016 to 2020
title: 2016–2020年安徽省全椒养殖塘碳水通量数据集

description: An atmospheric environment experiment site was established by Nanjing University of Information Science and Technology to observe the carbon and water flux over aquaculture water bodies in Guandu village of Quanjiao County, Anhui province. This dataset included CO2 flux data (measured by multi-channel closed dynamic floating chamber method), CH4 flux data (measured by eddy covariance method, multi-channel closed dynamic floating chamber method, and inverted funnel method), latent heat and sensible heat fluxes data (measured by eddy covariance method), and key environmental factors data including air temperature, water temperature, radiation, and so on. All data were processed by standardized procedures. Moreover, data quality controls were performed. 
description: An atmospheric environment experiment site was established by Nanjing University of Information Science and Technology to observe the carbon and water flux over aquaculture water bodies in Guandu village of Quanjiao County, Anhui province. This dataset included CO2 flux data (measured by multi-channel closed dynamic floating chamber method), CH4 flux data (measured by eddy covariance method, multi-channel closed dynamic floating chamber method, and inverted funnel method), latent heat and sensible heat fluxes data (measured by eddy covariance method), and key environmental factors data including air temperature, water temperature, radiation, and so on. All data were processed by standardized procedures. Moreover, data quality controls were performed.
DOI: 10.57760/sciencedb.08450
title: Efficient and highly continuous chromosome-level genome assembly of the first chameleon genome
title: Efficient and highly continuous chromosome-level genome assembly of the first chameleon genome

description: The de novo assembled genome and annotation results (repeat contents and functional gene prediction) of the manuscript.
description: The de novo assembled genome and annotation results (repeat contents and functional gene prediction) of the manuscript.
DOI: 10.15468/dl.5umgmp
title: Occurrence Download

description: A dataset containing 13321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Phaethornis anthophilus (Bourcier, 1843)",
 "Year 1970-2025"
 ]
}

 The dataset includes 13321 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001377-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ksssh
title: Occurrence Download

description: A dataset containing 23878 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-96.58189 40.0731,-89.86514 40.0731,-89.86514 43.35872,-96.58189 43.35872,-96.58189 40.0731))",
 "HasGeospatialIssue is false",
 "TaxonKey is Hymenoptera",
 "Year 2000-2025"
 ]
}

 The dataset includes 23878 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001384-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00186.00088
title: ID effects on beam dynamics in the SSRF-U storage ring
title: ID effects on beam dynamics in the SSRF-U storage ring

description: These data are used for ID effect evaluation of SSRF-U. All datas are numerical simulation results. These ID Kickmap models were generated based on ELEGANT's ideal ID models. On the basis of the ideal model, superimpose the error, and import into the AT software to calculate Tuneshift, FMA, DA and MA accordingly. When calculating the IBS effect and Touschek lifetime, we still use ELEGANT to get correct results. Almost all source codes, calculation results and generated pictures are included in these files.
description: These data are used for ID effect evaluation of SSRF-U. All datas are numerical simulation results. These ID Kickmap models were generated based on ELEGANT's ideal ID models. On the basis of the ideal model, superimpose the error, and import into the AT software to calculate Tuneshift, FMA, DA and MA accordingly. When calculating the IBS effect and Touschek lifetime, we still use ELEGANT to get correct results. Almost all source codes, calculation results and generated pictures are included in these files.
DOI: 10.57760/sciencedb.09569
title: Non-simultaneous time
title: Non-simultaneous time

description: Original definition and experimental modulation for non-simultaneous time that composes as the basis for life functioning and evolution
description: Original definition and experimental modulation for non-simultaneous time that composes as the basis for life functioning and evolution
DOI: 10.57760/sciencedb.psych.00130
title: Data from: Chinese Readers Utilize Emotion Information for Word Segmentation
title: Data from: Chinese Readers Utilize Emotion Information for Word Segmentation

description: Data from: Chinese Readers Utilize Emotion Information for Word Segmentation. The dataset includes materials, raw data, and code for data analysis and visualization. For more information, please see README.txt in attached files.
description: Data from: Chinese Readers Utilize Emotion Information for Word Segmentation. The dataset includes materials, raw data, and code for data analysis and visualization. For more information, please see README.txt in attached files.
DOI: 10.57760/sciencedb.j00001.00859
title: A dataset of carbon and water fluxes in a natural oak forest of Baotianman in Henan Province (2017-2018)
title: 2017–2018年河南宝天曼天然栎林碳水通量观测数据集

description: Based on the theory of micrometeorology, functions and processes such as the productivity, energy partitioning and water use of natural oak forest ecosystems at a transitional area between subtropical and warm temperate zone were directly measured by the eddy covariance technique, which provided an important data basis for studying the mechanism of carbon and water cycle in forest ecosystems. This study takes a natural oak forest in Baotianman Ecological Research Station as the research object, and uses the eddy covariance system and environmental gradient system to conduct long-term positioning observation. The monitoring data from January 2017 to December 2018 were organized, quality controlled, and analyzed. Data variables include air temperature and humidity, soil temperature and humidity, wind speed, wind direction, photosynthetically active radiation, upward/downward shortwave radiation, upward/downward longwave radiation, net radiation, sensible heat flux, latent heat flux and carbon flux. The dataset is composed of the observation data on scales of half hour, day, month, and year, which is useful for studying the response and adaption mechanisms of typical forest ecosystems at transitional area between subtropical and warm temperate zone to climate change. 
description: Based on the theory of micrometeorology, functions and processes such as the productivity, energy partitioning and water use of natural oak forest ecosystems at a transitional area between subtropical and warm temperate zone were directly measured by the eddy covariance technique, which provided an important data basis for studying the mechanism of carbon and water cycle in forest ecosystems. This study takes a natural oak forest in Baotianman Ecological Research Station as the research object, and uses the eddy covariance system and environmental gradient system to conduct long-term positioning observation. The monitoring data from January 2017 to December 2018 were organized, quality controlled, and analyzed. Data variables include air temperature and humidity, soil temperature and humidity, wind speed, wind direction, photosynthetically active radiation, upward/downward shortwave radiation, upward/downward longwave radiation, net radiation, sensible heat flux, latent heat flux and carbon flux. The dataset is composed of the observation data on scales of half hour, day, month, and year, which is useful for studying the response and adaption mechanisms of typical forest ecosystems at transitional area between subtropical and warm temperate zone to climate change.
DOI: 10.57760/sciencedb.07566
title: Water boundary data set of Hulun Lake from 1975 to 2018
title: 1975-2018年呼伦湖湖泊边界数据集

description: This data set includes 38 periods of water boundary data of Hulun Lake from 1978-1982 and 1990, which are published annually from 1975 to 2018. This data set mainly reflects the water distribution and time series changes of Hulun Lake. Based on Landsat30m resolution image, normalized water index NDWI was calculated in this study, and threshold was automatically determined by OTSU algorithm. The overall accuracy of this data set was greater than 99%. This data set contains long time series of water boundary, lake area and other attribute information of Hulun Lake, which can provide basic data support for the assessment of lake temporal and spatial changes and lake water quantity changes, as well as basic data support and scientific basis for the research on the relationship between water resources change, climate change and lake response. Extraction and monitoring of water boundary changes in Hulun Lake are of great significance to ecological environment protection and sustainable economic development.
description: This data set includes 38 periods of water boundary data of Hulun Lake from 1978-1982 and 1990, which are published annually from 1975 to 2018. This data set mainly reflects the water distribution and time series changes of Hulun Lake. Based on Landsat30m resolution image, normalized water index NDWI was calculated in this study, and threshold was automatically determined by OTSU algorithm. The overall accuracy of this data set was greater than 99%. This data set contains long time series of water boundary, lake area and other attribute information of Hulun Lake, which can provide basic data support for the assessment of lake temporal and spatial changes and lake water quantity changes, as well as basic data support and scientific basis for the research on the relationship between water resources change, climate change and lake response. Extraction and monitoring of water boundary changes in Hulun Lake are of great significance to ecological environment protection and sustainable economic development.
DOI: 10.57760/sciencedb.07504
title: Long-term dataset of suspended particulate matter in Lake Hulun, China 2002 – 2021
title: 呼伦湖2002–2021年悬浮物浓度数据集

description: This dataset consists of two parts, in TIFF format, which are images of average annual and monthly suspended solids concentrations. The first part is the annual average suspended solids product, a total of 20 data, which is the annual average suspended solids concentration image of Hulun Lake from 2002 to 2021, and the data size is 2.62MB; The second part is the monthly average product year by year, with a total of 118 data, which is the monthly average suspended solids concentration image of Hulun Lake from July 2002 to October 2021, with a data size of 15.1MB. 
description: This dataset consists of two parts, in TIFF format, which are images of average annual and monthly suspended solids concentrations. The first part is the annual average suspended solids product, a total of 20 data, which is the annual average suspended solids concentration image of Hulun Lake from 2002 to 2021, and the data size is 2.62MB; The second part is the monthly average product year by year, with a total of 118 data, which is the monthly average suspended solids concentration image of Hulun Lake from July 2002 to October 2021, with a data size of 15.1MB.
DOI: 10.57760/sciencedb.09565
title: LOG files for Jónás et al. (Submitted) manuscript - dog-wolf whole blood RNA-seq
title: LOG files for Jónás et al. (Submitted) manuscript - dog-wolf whole blood RNA-seq

description: The uploaded files contain log files related to the manuscript entitled "Dog domestication strongly relied on translation regulation according to differential gene expression analysis" and writte by David Jonas, Kitti Tatrai, Sara Sandor, Balazs Egyed and Eniko Kubinyi.
description: The uploaded files contain log files related to the manuscript entitled "Dog domestication strongly relied on translation regulation according to differential gene expression analysis" and writte by David Jonas, Kitti Tatrai, Sara Sandor, Balazs Egyed and Eniko Kubinyi.
DOI: 10.57760/sciencedb.o00115.00100
title: Data from: visual mental imagery of social cues triggers automatic attentional orienting
title: Data from: visual mental imagery of social cues triggers automatic attentional orienting

description: Data from: visual mental imagery of social cues triggers automatic attentional orienting. This dataset includes the original data, codes for data curation, and the summarized data for further analysis. For more information, please see ReadMe.docx in attached files.
description: Data from: visual mental imagery of social cues triggers automatic attentional orienting. This dataset includes the original data, codes for data curation, and the summarized data for further analysis. For more information, please see ReadMe.docx in attached files.
DOI: 10.57760/sciencedb.08354
title: Synthetic Digital City Dataset
title: Synthetic Digital City Dataset

description: Synthetic Digital City Dataset (SDCD) is a large-scale, high-resolution monocular depth driving dataset, which consists of 930K high-resolution RGB images and corresponding dense depth maps. SDCD is generated and collected under 7 different weather driving conditions [Sunny, Overcast, Night, Rain, Snow, Sleet, Dust], and common adverse disturbances caused by the transmission of communication equipment [Noise, Blur, ColorQuant, Pixelate, JPEG] is imposed on RGB images of SDCD as well. SDCD provides adequate training data for investigate the generalization and robustness of depth estimation algorithms, and it serve to boost the development of the perception system in autonomous driving.
description: Synthetic Digital City Dataset (SDCD) is a large-scale, high-resolution monocular depth driving dataset, which consists of 930K high-resolution RGB images and corresponding dense depth maps. SDCD is generated and collected under 7 different weather driving conditions [Sunny, Overcast, Night, Rain, Snow, Sleet, Dust], and common adverse disturbances caused by the transmission of communication equipment [Noise, Blur, ColorQuant, Pixelate, JPEG] is imposed on RGB images of SDCD as well. SDCD provides adequate training data for investigate the generalization and robustness of depth estimation algorithms, and it serve to boost the development of the perception system in autonomous driving.
DOI: 10.57760/sciencedb.j00001.00855
title: A dataset of observatory meteorological vertical physical parameters from Beijing Observatory during 2021-2022
title: 北京市观象台2021–2022年气象垂直物理量数据集

description: Based on the meteorological sounding data of the Beijing Observatory (station number 54511) from 2021 to 2022, the MICAPS4.0 software was used to calculate the 2021 to 2022 meteorological vertical physical quantity dataset. There are two hours of data per day, namely 08:00 and 20:00. Vertical physical quantities include 40 physical quantities such as the K index, A index, and maximum uplift index. The dataset has undergone quality control from three aspects: data observation, data transmission, and data storage, which can provide data support for business research work in weather forecasting, atmospheric environment, and other fields. 
description: Based on the meteorological sounding data of the Beijing Observatory (station number 54511) from 2021 to 2022, the MICAPS4.0 software was used to calculate the 2021 to 2022 meteorological vertical physical quantity dataset. There are two hours of data per day, namely 08:00 and 20:00. Vertical physical quantities include 40 physical quantities such as the K index, A index, and maximum uplift index. The dataset has undergone quality control from three aspects: data observation, data transmission, and data storage, which can provide data support for business research work in weather forecasting, atmospheric environment, and other fields.
DOI: 10.57760/sciencedb.07841
title: Low-loss multi-mode anti-resonant hollow-core fibers
title: Low-loss multi-mode anti-resonant hollow-core fibers

description: This dataset contains the data used to produce the plots in the paper of 'Low-loss multi-mode anti-resonant hollow-core fibers'.
description: This dataset contains the data used to produce the plots in the paper of 'Low-loss multi-mode anti-resonant hollow-core fibers'.
DOI: 10.57760/sciencedb.07821
title: Complete mitogenome data of sea slug Phyllidiella pustulosa nanhai (Phyllidiidae, Phyllidiella) from the South China sea and its phylogenetic implications
title: Complete mitogenome data of sea slug Phyllidiella pustulosa nanhai (Phyllidiidae, Phyllidiella) from the South China sea and its phylogenetic implications

description: The complete mitogenome of a newly recorded species of sea slug from the South China sea (Phyllidiella pustulosa nanhai) was determined by Illumina Hiseq4000 sequencing and denovo assembly. The mitochondrial genome of Phyllidiella pustulosa nanhai was 14,677 bp in length, including 13 protein-coding genes (PCGs), 2 ribosomal RNA genes, and 22 tRNA genes. In the mitochondrial DNA of Phyllidiella sp the base composition of mitogenome is 30.37% for A, 37.30% for T, 15% for C, and 17.33% for G, and the content of AT was 67.67%. According to the protein coding genes showed that Phyllidiella pustulosa nanhai and Phyllidiella pustulosa clustered into one cluster. Moreover, the genus Phyllidiella clade was sister relationship to the Phyllidia clade.  
description: The complete mitogenome of a newly recorded species of sea slug from the South China sea (Phyllidiella pustulosa nanhai) was determined by Illumina Hiseq4000 sequencing and denovo assembly. The mitochondrial genome of Phyllidiella pustulosa nanhai was 14,677 bp in length, including 13 protein-coding genes (PCGs), 2 ribosomal RNA genes, and 22 tRNA genes. In the mitochondrial DNA of Phyllidiella sp the base composition of mitogenome is 30.37% for A, 37.30% for T, 15% for C, and 17.33% for G, and the content of AT was 67.67%. According to the protein coding genes showed that Phyllidiella pustulosa nanhai and Phyllidiella pustulosa clustered into one cluster. Moreover, the genus Phyllidiella clade was sister relationship to the Phyllidia clade.
DOI: 10.57760/sciencedb.09897
title: Electrophysiology of P2X receptors and their mutants
title: Electrophysiology of P2X receptors and their mutants

description: Numeric data for the current traces in Figs. 4A, 4B and 8E
description: Numeric data for the current traces in Figs. 4A, 4B and 8E
DOI: 10.57760/sciencedb.space.00473
title: Three-Dimensional Ionospheric Evolution and Asymmetry of the Electron Density Depletion Generated by the 21 June 2020 Annular Solar Eclipse
title: Three-Dimensional Ionospheric Evolution and Asymmetry of the Electron Density Depletion Generated by the 21 June 2020 Annular Solar Eclipse

description: TIEGCM simulation with and without 21 June 2020 Annular Solar Eclipse
description: TIEGCM simulation with and without 21 June 2020 Annular Solar Eclipse
DOI: 10.57760/sciencedb.10519
title: Global Highly Generalized Land Evapotranspiration Dataset (HG-Land v1.0)
title: Global Highly Generalized Land Evapotranspiration Dataset (HG-Land v1.0)

description: The global Highly Generalized Land Evapotranspiration (ET) dataset (HG-Land v1.0) employs the state-of-the-art Deep Forest machine-learning algorithm, incorporating meteorological and vegetation variables as input data. The HG-Land dataset provides global monthly estimations, measured in W/m2, with a spatial resolution of 0.5°. It covers the period from January 1982 to December 2018. The data is stored in a network Common Data Form (netCDF) format, conveniently within a single file. This file comprises five variables: time, longitude, latitude, ET, and ET standard deviation.
description: The global Highly Generalized Land Evapotranspiration (ET) dataset (HG-Land v1.0) employs the state-of-the-art Deep Forest machine-learning algorithm, incorporating meteorological and vegetation variables as input data. The HG-Land dataset provides global monthly estimations, measured in W/m2, with a spatial resolution of 0.5°. It covers the period from January 1982 to December 2018. The data is stored in a network Common Data Form (netCDF) format, conveniently within a single file. This file comprises five variables: time, longitude, latitude, ET, and ET standard deviation.
DOI: 10.15468/dl.tb2rec
title: Occurrence Download

description: A dataset containing 4127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Ascaphus truei Stejneger, 1899)"
 ]
}

 The dataset includes 4127 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001386-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.