cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.07898
title: experimental data of High-Temperature Oxidation of Magnesium- and Iron-Rich Olivine under a CO2 Atmosphere
title: 富镁和富铁橄榄石在CO2下的高温氧化实验数据

description: The data in this experiment come from the high-temperature oxidation of olivine under CO2. In the experiment, olivine with different iron contents (Fa09, Fa29, Fa71) was used for high-temperature oxidation experiments. Fa09 is natural olivine, while Fa29 and Fa71 are synthetic olivine (Fa# = Femol / (Femol + Mgmol) × 100). CO2 was chosen as the oxidizing gas simulating Venus's atmosphere, with environmental temperatures controlled at 470°C (simulating Venus's average surface temperature) and 900°C (simulating Venus's lava flow temperature). The experiment aimed to explore the influence of high-temperature oxidation of olivine with different iron contents under Venus's CO2 atmosphere on oxidation products, rates, and spectral characteristics. The general procedure of the experiment was to place olivine powder in a CO2 atmosphere at 470°C or 900°C, controlling the reaction time from 1 hour to 24 days, depending on the reaction temperature. The reacted samples were analyzed with XRD, Mössbauer spectroscopy, Raman spectroscopy, and visible-near-infrared spectroscopy, obtaining the characteristics of oxidation products, oxidation rates, and infrared spectral features of different olivines and temperatures. This dataset includes XRD (33), Mössbauer spectra (8), Raman spectra (34), and visible-near-infrared spectra (33) data of 33 samples (including 3 initial samples and 30 experimental samples).
description: The data in this experiment come from the high-temperature oxidation of olivine under CO2. In the experiment, olivine with different iron contents (Fa09, Fa29, Fa71) was used for high-temperature oxidation experiments. Fa09 is natural olivine, while Fa29 and Fa71 are synthetic olivine (Fa# = Femol / (Femol + Mgmol) × 100). CO2 was chosen as the oxidizing gas simulating Venus's atmosphere, with environmental temperatures controlled at 470°C (simulating Venus's average surface temperature) and 900°C (simulating Venus's lava flow temperature). The experiment aimed to explore the influence of high-temperature oxidation of olivine with different iron contents under Venus's CO2 atmosphere on oxidation products, rates, and spectral characteristics. The general procedure of the experiment was to place olivine powder in a CO2 atmosphere at 470°C or 900°C, controlling the reaction time from 1 hour to 24 days, depending on the reaction temperature. The reacted samples were analyzed with XRD, Mössbauer spectroscopy, Raman spectroscopy, and visible-near-infrared spectroscopy, obtaining the characteristics of oxidation products, oxidation rates, and infrared spectral features of different olivines and temperatures. This dataset includes XRD (33), Mössbauer spectra (8), Raman spectra (34), and visible-near-infrared spectra (33) data of 33 samples (including 3 initial samples and 30 experimental samples).
DOI: 10.57760/sciencedb.07940
title: Offline Reinforcement Learning Based on Prioritized Sampling Model
title: 基于优先采样模型的离线强化学习

description: Offline reinforcement learning algorithms realize the approximation of learned policy to behavioral policy by reducing the distribution shift, but the data distribution of offline experience buffer often directly affects the quality of learned policy. In this paper, two offline prioritized sampling models including temporal difference error-based and martingale-based are proposed to improve the training effect of reinforcement learning agent. The temporal difference error-based sampling model enables agents to learn more experience data with inaccurate value estimation, thus deals with possible out of distribution states by estimating more accurate value functions. The martingale-based sampling model enables agents to learn more positive samples beneficial to policy optimization and reduces the impact of negative samples on value function iteration. Furthermore, the proposed offline prioritized sampling models are combined with the batch-constrained deep Q-learning (BCQ) respectively, to propose temporal difference error-based prioritized BCQ and martingale-based prioritized BCQ. Experimental results on D4RL and Torcs datasets show that the proposed two offline prioritized sampling models can be targeted to select the experience data that are conducive to value function estimation or policy optimization, so as to obtain higher returns.
description: Offline reinforcement learning algorithms realize the approximation of learned policy to behavioral policy by reducing the distribution shift, but the data distribution of offline experience buffer often directly affects the quality of learned policy. In this paper, two offline prioritized sampling models including temporal difference error-based and martingale-based are proposed to improve the training effect of reinforcement learning agent. The temporal difference error-based sampling model enables agents to learn more experience data with inaccurate value estimation, thus deals with possible out of distribution states by estimating more accurate value functions. The martingale-based sampling model enables agents to learn more positive samples beneficial to policy optimization and reduces the impact of negative samples on value function iteration. Furthermore, the proposed offline prioritized sampling models are combined with the batch-constrained deep Q-learning (BCQ) respectively, to propose temporal difference error-based prioritized BCQ and martingale-based prioritized BCQ. Experimental results on D4RL and Torcs datasets show that the proposed two offline prioritized sampling models can be targeted to select the experience data that are conducive to value function estimation or policy optimization, so as to obtain higher returns.
DOI: 10.57760/sciencedb.07488
title: “Do I know you?” Categorising individuals on the basis of familiarity in Kea
title: “Do I know you?” Categorising individuals on the basis of familiarity in Kea

description: Research data of research project “Do I know you?” Categorising individuals on the basis of familiarity in Kea.Files included:prep datar scriptsr functionsr workspace
description: Research data of research project “Do I know you?” Categorising individuals on the basis of familiarity in Kea.Files included:prep datar scriptsr functionsr workspace
DOI: 10.57760/sciencedb.space.00627
title: Chinese Dst Index (2010-2022)
title: 中国区域Dst指数数据集（2010-2022）

description: Abstract: The axisymmetric disturbance of the Geomagnetic field caused by the ring current can be characterized by the Disturbance storm-time (Dst) index. As a key indicator of geomagnetic activity, Dst index can clearly reflect the storm onset and intensity. Due to the asymmetry of the ring current during the storm time, there are significant differences in the geomagnetic disturbance levels at different places, which cannot be accurately reflected by the globally averaged Dst index. This dataset provides the Chinese Dst (cDst) index from 2010 to 2022 based on the geomagnetic data of the meridian project in Lasa, Chengdu, Wuhan and Hangzhou. Compared with the Dst index, the cDst index can describe the geomagnetic disturbances in China better.
description: Abstract: The axisymmetric disturbance of the Geomagnetic field caused by the ring current can be characterized by the Disturbance storm-time (Dst) index. As a key indicator of geomagnetic activity, Dst index can clearly reflect the storm onset and intensity. Due to the asymmetry of the ring current during the storm time, there are significant differences in the geomagnetic disturbance levels at different places, which cannot be accurately reflected by the globally averaged Dst index. This dataset provides the Chinese Dst (cDst) index from 2010 to 2022 based on the geomagnetic data of the meridian project in Lasa, Chengdu, Wuhan and Hangzhou. Compared with the Dst index, the cDst index can describe the geomagnetic disturbances in China better.
DOI: 10.57760/sciencedb.07853
title: Ancestral sequences of Sus scrofa (including domestic pigs and wild boars)
title: 家猪与欧亚野猪祖先序列

description: The ancestral sequences of the species described by the domestic pig and wild boar, Sus scrofa, were reconstructed via whole-genome alignment of the family Suidae and validation with resequencing data. This ancestral sequence can be used for statistical detection of selective signal scan in population genetic analysis of pigs, as well as polarization for the neutral genetic background and ancestral alleles in population demographic inference. The high-confidence ancestral alleles are in uppercase, the low-confidence in lowercase, and uncertain positions in "-", n, or N.
description: The ancestral sequences of the species described by the domestic pig and wild boar, Sus scrofa, were reconstructed via whole-genome alignment of the family Suidae and validation with resequencing data. This ancestral sequence can be used for statistical detection of selective signal scan in population genetic analysis of pigs, as well as polarization for the neutral genetic background and ancestral alleles in population demographic inference. The high-confidence ancestral alleles are in uppercase, the low-confidence in lowercase, and uncertain positions in "-", n, or N.
DOI: 10.57760/sciencedb.07960
title: Data and MATLAB Scripts
title: Data and MATLAB Scripts

description: EEG Data and MATLAB Scripts for Data Preprocessing, Frequency Domain Analysis, Functional Connectivity Analysis, and Plotting
description: EEG Data and MATLAB Scripts for Data Preprocessing, Frequency Domain Analysis, Functional Connectivity Analysis, and Plotting
DOI: 10.3886/e227963
title: Data on Exposure of Wild Mammals Inhabiting Alaska to H5N1 Influenza A Viruses

description: This data set describes serological data collected from mammals in Alaska and seropositivity to influenza A, clade 2.3.4.4b H5 highly pathogenic avian influenza (HPAI), North American lineage H5 low pathogenic avian influenza (LPAI), and N1 antigens.
DOI: 10.3886/e227963v1
title: Data on Exposure of Wild Mammals Inhabiting Alaska to H5N1 Influenza A Viruses

description: This data set describes serological data collected from mammals in Alaska and seropositivity to influenza A, clade 2.3.4.4b H5 highly pathogenic avian influenza (HPAI), North American lineage H5 low pathogenic avian influenza (LPAI), and N1 antigens.
DOI: 10.57760/sciencedb.07983
title: Data set on Individuals experience collaborative scenarios together would enhance both cooperative behavior
title: 共同经历合作情境提升个体合作行为数据集

description: This data is a dataset constructed for group activities conducted by Nanning Normal University for freshmen in the autumn semester of 2022. The measurement object is the impact of participants experiencing different cooperative situations and power role allocation on their sense of power and cooperative behavior. 
description: This data is a dataset constructed for group activities conducted by Nanning Normal University for freshmen in the autumn semester of 2022. The measurement object is the impact of participants experiencing different cooperative situations and power role allocation on their sense of power and cooperative behavior.
DOI: 10.57760/sciencedb.07574
title: The measured OPD results of thin-disk crystal and output characteristics of continuous wave laser
title: 薄片晶体的OPD测量数据和连续激光器的输出数据

description: The instrument for measuring the maximum temperature of crystal surface under different pump power is fluke T400 thermal imager, where the surface emissivity is set to 0.9;Experimental measurement results of thermal induced OPD of crystal in 1.4mm measuring aperture under different pump power, and the wavefront sensor is Phasics SID4-GE; The relation curve between output power and pump power of CW laser. The slope efficiency is obtained by linear fitting and the near field of output spot is measured by CCD Ophir LT665 at about 1m of output mirror. 
description: The instrument for measuring the maximum temperature of crystal surface under different pump power is fluke T400 thermal imager, where the surface emissivity is set to 0.9;Experimental measurement results of thermal induced OPD of crystal in 1.4mm measuring aperture under different pump power, and the wavefront sensor is Phasics SID4-GE; The relation curve between output power and pump power of CW laser. The slope efficiency is obtained by linear fitting and the near field of output spot is measured by CCD Ophir LT665 at about 1m of output mirror.
DOI: 10.57760/sciencedb.j00186.00068
title: Transient Reflected Power from a Superconducting Cavity
title: Transient Reflected Power from a Superconducting Cavity

description: Transient Reflected Power from a Superconducting Cavity under Heavy Beamloading
description: Transient Reflected Power from a Superconducting Cavity under Heavy Beamloading
DOI: 10.57760/sciencedb.space.00591
title: The list of standing whistler waves upstream of Mercury's bow shock
title: The list of standing whistler waves upstream of Mercury's bow shock

description: The data is list of standing whistler waves upstream of Mercury's bow shock.We found these waves from MESSENGER's data. The calculation method and description of each column parameter in the list can be found in article 'MESSENGER Observations of Standing Whistler Waves Upstream of Mercury's Bow Shock' and its supplemental information.
description: The data is list of standing whistler waves upstream of Mercury's bow shock.We found these waves from MESSENGER's data. The calculation method and description of each column parameter in the list can be found in article 'MESSENGER Observations of Standing Whistler Waves Upstream of Mercury's Bow Shock' and its supplemental information.
DOI: 10.57760/sciencedb.o00119.00064
title: A dataset of meteorology, PM2.5 concentration and gaseous pollutants in Xi 'an City from 2019 to 2020
title: 2019-2020西安城市PM2.5、气体污染物及气象数据集

description: ML9841 nitrogen oxides (NO-NO2-NOx) analyzer, ML9850 sulfur dioxide (SO2) analyzer, ML9811 ozone (O3) analyzer and ML9830 (CO) analyzer produced by ECOTECH (Australia) were used to obtain the 5-minute concentration of atmospheric nitrogen oxides, sulfur dioxide, ozone, carbon monoxide and gaseous pollutants from January 2019 to December 2020 at the urban observation site of National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain. Simultaneous minutely temperature, humidity, air pressure, solar radiation, wind speed and wind direction around the station were observed by MAWS201 small automatic weather station of Vaisala, Finland. This dataset can provide basic data records for atmospheric changes in densely populated areas, and also provide data support for further pollution evaluation, control and treatment.
description: ML9841 nitrogen oxides (NO-NO2-NOx) analyzer, ML9850 sulfur dioxide (SO2) analyzer, ML9811 ozone (O3) analyzer and ML9830 (CO) analyzer produced by ECOTECH (Australia) were used to obtain the 5-minute concentration of atmospheric nitrogen oxides, sulfur dioxide, ozone, carbon monoxide and gaseous pollutants from January 2019 to December 2020 at the urban observation site of National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain. Simultaneous minutely temperature, humidity, air pressure, solar radiation, wind speed and wind direction around the station were observed by MAWS201 small automatic weather station of Vaisala, Finland. This dataset can provide basic data records for atmospheric changes in densely populated areas, and also provide data support for further pollution evaluation, control and treatment.
DOI: 10.57760/sciencedb.j00133.00127
title: Trajectory Hotspot Mining Algorithm Based on Co-location Pattern
title: 基于并置模式的轨迹热点挖掘算法

description: Trajectory hotspot mining algorithms NDTTJ and NDTTT based on Co-location Pattern, trajectory hotspot mining algorithm TTHS based on graph databaseAlgorithm experiment processMain references
description: Trajectory hotspot mining algorithms NDTTJ and NDTTT based on Co-location Pattern, trajectory hotspot mining algorithm TTHS based on graph databaseAlgorithm experiment processMain references
DOI: 10.57760/sciencedb.ecodb.00099
title: A dataset of gradient meteorological observations at Sichuan Zoige Alpine Wetland Station in 2022
title: 四川若尔盖高寒湿地生态站2022年梯度气象观测数据集

description: This dataset compiles 24 meteorological indicators from the gradient meteorological observation data of Zoige Station from January 1 to December 31, 2022, totaling 8760 daily scale data, including atmospheric pressure, precipitation, total radiation, photosynthetic effective radiation at a distance of 2 meters from the ground, air temperature at a height of 2 meters, 6 meters, 12 meters, 16 meters, and 20 meters from the ground, relative humidity, wind speed, and soil temperature at a depth of 20 cm, 40 cm, 60 cm, 100 cm, and 150 cm. 
description: This dataset compiles 24 meteorological indicators from the gradient meteorological observation data of Zoige Station from January 1 to December 31, 2022, totaling 8760 daily scale data, including atmospheric pressure, precipitation, total radiation, photosynthetic effective radiation at a distance of 2 meters from the ground, air temperature at a height of 2 meters, 6 meters, 12 meters, 16 meters, and 20 meters from the ground, relative humidity, wind speed, and soil temperature at a depth of 20 cm, 40 cm, 60 cm, 100 cm, and 150 cm.
DOI: 10.57760/sciencedb.06586
title: data source
title: data source

description: 原始高光谱反射率数据、预处理数据、特征波段数据以及添加Al-Fe矿物数据。
description: 原始高光谱反射率数据、预处理数据、特征波段数据以及添加Al-Fe矿物数据。
DOI: 10.57760/sciencedb.07977
title: ChatGPT instance of Editor Office of Joint Journal of ISCAS
title: ISCAS联合编辑部ChatGPT实例

description: The Editor Office of Joint Journal of the Software Research Institute of the Chinese Academy of Sciences (ISCAS) has carried out a series of functional tests and explorations on the application of LLMs (e.g ChatGPT) in academic publishing. We save all test case results as a data set for colleagues' reference. 
description: The Editor Office of Joint Journal of the Software Research Institute of the Chinese Academy of Sciences (ISCAS) has carried out a series of functional tests and explorations on the application of LLMs (e.g ChatGPT) in academic publishing. We save all test case results as a data set for colleagues' reference.
DOI: 10.57760/sciencedb.07810
title: Data underlying the paper: Dynamic topological domain walls driven by lithium intercalation in graphene
title: Data underlying the paper: Dynamic topological domain walls driven by lithium intercalation in graphene

description: Data underlying the paper: "Dynamic topological domain walls driven by lithium intercalation in graphene" (Y. Endo et al, 2023).Experimental data was obtained using the Low Energy Electron Microscope at Chongqing University.The LEEM data in this dataset is processed data, i.e. detector corrected, drift corrected and/or stitched together into an overview. The raw sensor data is available from the corresponding authors upon reasonable request.Simulation data is preformed by DFT and MD simulations in National Computational Infrastructure(NCI) and Pawsey supercomputing platform supported by Australian government.Li ion intercalation in G/B/SiC superstructure with different stackings (AA, AB and BA) is obtained by DFT calculations.Strip and triangle patterns and corresponding Li ion intercalation growth are obtained by MD simulation.
description: Data underlying the paper: "Dynamic topological domain walls driven by lithium intercalation in graphene" (Y. Endo et al, 2023).Experimental data was obtained using the Low Energy Electron Microscope at Chongqing University.The LEEM data in this dataset is processed data, i.e. detector corrected, drift corrected and/or stitched together into an overview. The raw sensor data is available from the corresponding authors upon reasonable request.Simulation data is preformed by DFT and MD simulations in National Computational Infrastructure(NCI) and Pawsey supercomputing platform supported by Australian government.Li ion intercalation in G/B/SiC superstructure with different stackings (AA, AB and BA) is obtained by DFT calculations.Strip and triangle patterns and corresponding Li ion intercalation growth are obtained by MD simulation.
DOI: 10.57760/sciencedb.08117
title: Data for Training Effect of Self Prioritization
title: Data for Training Effect of Self Prioritization

description: This database includes data from a behavioral experiment which aimed to investigate the effect of training on self-prioritization effect (SPE). 36 participants were recruited from Tsinghua University and nearby community, all of whom were right-handed and had normal or corrected-to-normal vision. Participants were pre-tested for their depressive level by Beck Depression Inventory (BDI). Only participants with score lower than 10 (n=30) and those higher than 20 (n=6, ID: 6005, 6006, 6010, 6022, 6025, and 6036) were included. The experiment was approved by the IRB at the Department of Psychology, Tsinghua University, and all participants provided informed consent. The experiment has two behavioral tasks, both required participants to associate different stimuli with self, other, emotions, and rewards. The stimuli were presented, and response data were collected by E-Prime 2.0. The whole experiment costed approximately 80 minutes. The database includes data on participants' responses. Data from three participants (ID: 6008, 6015, and 6031) should be excluded due to invalid trials or program malfunctions. Please see “README.md” for more details about the experimental design, procedure, and tasks. 
description: This database includes data from a behavioral experiment which aimed to investigate the effect of training on self-prioritization effect (SPE). 36 participants were recruited from Tsinghua University and nearby community, all of whom were right-handed and had normal or corrected-to-normal vision. Participants were pre-tested for their depressive level by Beck Depression Inventory (BDI). Only participants with score lower than 10 (n=30) and those higher than 20 (n=6, ID: 6005, 6006, 6010, 6022, 6025, and 6036) were included. The experiment was approved by the IRB at the Department of Psychology, Tsinghua University, and all participants provided informed consent. The experiment has two behavioral tasks, both required participants to associate different stimuli with self, other, emotions, and rewards. The stimuli were presented, and response data were collected by E-Prime 2.0. The whole experiment costed approximately 80 minutes. The database includes data on participants' responses. Data from three participants (ID: 6008, 6015, and 6031) should be excluded due to invalid trials or program malfunctions. Please see “README.md” for more details about the experimental design, procedure, and tasks.
DOI: 10.15468/dl.4psvuh
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrodontia cervicornis (Linnaeus, 1758)"
 ]
}

 The dataset includes 184 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001310-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.