cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.06811
title: Eddy covariance flux and meteorological dataset for Matara, Sri Lanka
title: Eddy covariance flux and meteorological dataset for Matara, Sri Lanka

description: Studies on ocean–atmospheric interactions extensively employ data relating to the surface radiation budget, atmospheric turbulent fluxes, and basic meteorological elements. Numerous observations have been conducted in various locations of radiation, atmospheric fluxes, and basic meteorological elements; however, few research teams have collected and published such data for south Sri Lanka. Our study bridges this gap and presents radiation, turbulence, and basic meteorological datasets collected at the Ruhuna observation site on the southern coast of Sri Lanka. The datasets contain multiple variables, including net radiation, net longwave radiation, net shortwave radiation, surface wind, air temperature, relative humidity, precipitation, sensible heat flux, latent heat flux, and momentum flux. The data were collected from April 11, 2017 to September 2, 2018, with the atmospheric turbulence flux data covering the period from March 23, 2017 to April 16, 2017.
description: Studies on ocean–atmospheric interactions extensively employ data relating to the surface radiation budget, atmospheric turbulent fluxes, and basic meteorological elements. Numerous observations have been conducted in various locations of radiation, atmospheric fluxes, and basic meteorological elements; however, few research teams have collected and published such data for south Sri Lanka. Our study bridges this gap and presents radiation, turbulence, and basic meteorological datasets collected at the Ruhuna observation site on the southern coast of Sri Lanka. The datasets contain multiple variables, including net radiation, net longwave radiation, net shortwave radiation, surface wind, air temperature, relative humidity, precipitation, sensible heat flux, latent heat flux, and momentum flux. The data were collected from April 11, 2017 to September 2, 2018, with the atmospheric turbulence flux data covering the period from March 23, 2017 to April 16, 2017.
DOI: 10.57760/sciencedb.11622
title: The data of the article "Large scale parallel electric field formed by charge separation in anti-parallel magnetic reconnection" [Dataset]
title: The data of the article "Large scale parallel electric field formed by charge separation in anti-parallel magnetic reconnection" [Dataset]

description: The variables 't', 'Psi', 'Psi_another' in file 'Psi.mat' represent Omega_i*t, reconnected magnetic flux in Case A, and reconnected magnetic flux in Case B, respectively.The files '0130.mat', '0160.mat', '0184.mat', '0188.mat', '0190.mat', '0210.mat', '0220.mat', and '0250.mat' in folder 'CaseA' or 'CaseB' store the data at Omega_i*t=13, 16, 18.4, 18.8, 19, 21, 22, and 25 in Case A or Case B, which need to be normalized using the variable in file 'normalization.mat'. Meanwhile, the variable names indicate the physical quantities.The files 'particle0184.mat' and 'particle0188.mat' in folder 'CaseA' store the selected particles positions at Omega_i*t=18.4 and Omega_i*t=18.8 in Case A. The file 'particle0160.mat' in folder 'CaseA' stores the selected electrons positions and velocities at Omega_i*t=16 in Case A.
description: The variables 't', 'Psi', 'Psi_another' in file 'Psi.mat' represent Omega_i*t, reconnected magnetic flux in Case A, and reconnected magnetic flux in Case B, respectively.The files '0130.mat', '0160.mat', '0184.mat', '0188.mat', '0190.mat', '0210.mat', '0220.mat', and '0250.mat' in folder 'CaseA' or 'CaseB' store the data at Omega_i*t=13, 16, 18.4, 18.8, 19, 21, 22, and 25 in Case A or Case B, which need to be normalized using the variable in file 'normalization.mat'. Meanwhile, the variable names indicate the physical quantities.The files 'particle0184.mat' and 'particle0188.mat' in folder 'CaseA' store the selected particles positions at Omega_i*t=18.4 and Omega_i*t=18.8 in Case A. The file 'particle0160.mat' in folder 'CaseA' stores the selected electrons positions and velocities at Omega_i*t=16 in Case A.
DOI: 10.57760/sciencedb.12746
title: Recorded sensor data and experiment data of the auto pressure control system
title: Recorded sensor data and experiment data of the auto pressure control system

description: 24-hour recorded sensor data, simulator, porcine data
description: 24-hour recorded sensor data, simulator, porcine data
DOI: 10.57760/sciencedb.16945
title: The role of risk perception and risk prevention in risk communication process: The case of COVID-19 pandemic in Kuala Lumpur, Malaysia
title: The role of risk perception and risk prevention in risk communication process: The case of COVID-19 pandemic in Kuala Lumpur, Malaysia

description: Research Design and Target PopulationThis research uses purposive sampling to filter the respondents. This study targeted Malaysian citizens who live in Kuala Lumpur and are of both genders and age groups from 18 to 60. A questionnaire was made by using a 5-point Likert scale. The online survey was conducted on the Google Form platform and distributed to Kuala Lumpur regions through Google, Facebook, and WhatsApp. Google Forms is a survey administration software that is included as part of the free, web-based Google Docs Editors suite offered by Google. The researchers in the Kuala Lumpur region spread out the offline survey. All data were collected through an online survey from October 17 to November 15, 2023.Research InstrumentThe survey is adapted from the WHO-RCCE questionnaire (Risk Communication and Community Engagement Tool) from the WHO website. The questionnaire was translated into Malay, tested, and validated by risk management and social science experts. Online questionnaires were distributed as an online survey using social media platforms such as Facebook, WhatsApp, and Twitter in two languages (Malay and English). Results from respondents who are only between 18 and 60 are accepted.
description: Research Design and Target PopulationThis research uses purposive sampling to filter the respondents. This study targeted Malaysian citizens who live in Kuala Lumpur and are of both genders and age groups from 18 to 60. A questionnaire was made by using a 5-point Likert scale. The online survey was conducted on the Google Form platform and distributed to Kuala Lumpur regions through Google, Facebook, and WhatsApp. Google Forms is a survey administration software that is included as part of the free, web-based Google Docs Editors suite offered by Google. The researchers in the Kuala Lumpur region spread out the offline survey. All data were collected through an online survey from October 17 to November 15, 2023.Research InstrumentThe survey is adapted from the WHO-RCCE questionnaire (Risk Communication and Community Engagement Tool) from the WHO website. The questionnaire was translated into Malay, tested, and validated by risk management and social science experts. Online questionnaires were distributed as an online survey using social media platforms such as Facebook, WhatsApp, and Twitter in two languages (Malay and English). Results from respondents who are only between 18 and 60 are accepted.
DOI: 10.15468/dl.6kyky9
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Scaptotrigona tricolorata Camargo, 1988"
 ]
}

 The dataset includes 244 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001398-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.14412
title: Invariant Coding of Local Biological Motion Signals: Evidence for a ‘Life Motion Detector’ in the Human Brain
title: Invariant Coding of Local Biological Motion Signals: Evidence for a ‘Life Motion Detector’ in the Human Brain

description: Humans are remarkably adept at detecting the movement of biological entities, even from local biological motion (BM) signals without any global configuration. However, it remains unclear whether the brain encodes the invariant local biological kinematics. In this study, we utilized an adaptation paradigm and demonstrated that after adapting to a side view of local BM, the perceived moving direction of an intact human walker near the frontal view was significantly biased in the opposite direction, resulting in a perceptual aftereffect. Notably, this adaptation aftereffect persisted across different species (pigeon, cat, dog) and various actions (running, crawling, cycling). However, the effect disappeared when the adaptors were inverted, critical kinematic information was removed, or the test BM stimulus was replaced with object motion. These findings provide compelling evidence for the invariant coding of local BM signals tuned to specific moving direction, supporting the existence of “life motion detector” in the human brain.
description: Humans are remarkably adept at detecting the movement of biological entities, even from local biological motion (BM) signals without any global configuration. However, it remains unclear whether the brain encodes the invariant local biological kinematics. In this study, we utilized an adaptation paradigm and demonstrated that after adapting to a side view of local BM, the perceived moving direction of an intact human walker near the frontal view was significantly biased in the opposite direction, resulting in a perceptual aftereffect. Notably, this adaptation aftereffect persisted across different species (pigeon, cat, dog) and various actions (running, crawling, cycling). However, the effect disappeared when the adaptors were inverted, critical kinematic information was removed, or the test BM stimulus was replaced with object motion. These findings provide compelling evidence for the invariant coding of local BM signals tuned to specific moving direction, supporting the existence of “life motion detector” in the human brain.
DOI: 10.57760/sciencedb.13843
title: HPHE heat exchange experimental date
title: HPHE heat exchange experimental date

description: The data originates from HPHE experimental records conducted in the Shanghai area, with simulation results derived from calculations using TRNSYS software.
description: The data originates from HPHE experimental records conducted in the Shanghai area, with simulation results derived from calculations using TRNSYS software.
DOI: 10.57760/sciencedb.16282
title: Stimulus enhancement in kea (Nestor notabilis) in an object choice task
title: Stimulus enhancement in kea (Nestor notabilis) in an object choice task

description: R script and data for the publication "Stimulus enhancement in kea (Nestor notabilis) in an object choice task
description: R script and data for the publication "Stimulus enhancement in kea (Nestor notabilis) in an object choice task
DOI: 10.57760/sciencedb.12519
title: Attentional Bias Modification for Attentional Bias Towards Negative Emotional Stimuli on Methamphetamine Abstainers
title: 注意偏向矫正对冰毒戒断者负性情绪注意偏向的干预

description: This study investigated the effectiveness of attention bias modification (ABM) in reducing the attentional bias towards negative emotional stimuli on methamphetamine abstainers and explored the underlying mechanisms using the drift diffusion model (DDM). A total of 43 male methamphetamine abstainers were randomly assigned to either an ABM group (n=20) or a control group (n=23). The ABM group received a 40-min training section to shift attention bias away from negative emotional faces, while the control group received placebo training. Results revealed a significant reduction in attentional bias towards negative emotional stimuli on the ABM group, compared with control group. DDM analyses further suggested that ABM intervention could reduce the process of participants' attentional enhancement while quicken the process of attentional disengagement towards negative emotional stimuli. This finding highlights the potential of ABM as a tool to reduce drug addicts’ relapse risk by breaking their negative reinforcement behavior patterns.
description: This study investigated the effectiveness of attention bias modification (ABM) in reducing the attentional bias towards negative emotional stimuli on methamphetamine abstainers and explored the underlying mechanisms using the drift diffusion model (DDM). A total of 43 male methamphetamine abstainers were randomly assigned to either an ABM group (n=20) or a control group (n=23). The ABM group received a 40-min training section to shift attention bias away from negative emotional faces, while the control group received placebo training. Results revealed a significant reduction in attentional bias towards negative emotional stimuli on the ABM group, compared with control group. DDM analyses further suggested that ABM intervention could reduce the process of participants' attentional enhancement while quicken the process of attentional disengagement towards negative emotional stimuli. This finding highlights the potential of ABM as a tool to reduce drug addicts’ relapse risk by breaking their negative reinforcement behavior patterns.
DOI: 10.57760/sciencedb.11239
title: The supporting data for the paper "Synergistic Enhancement of LSTM Time Series Prediction via Companion Strategy and Decay Operator-Improved Aquila Optimization"
title: The supporting data for the paper "Synergistic Enhancement of LSTM Time Series Prediction via Companion Strategy and Decay Operator-Improved Aquila Optimization"

description: 数据生成程序该数据集是使用 The Investor's Exchange API 生成的，脚本会定期获取标准普尔 500 指数中所有公司的历史股价。详细说明和脚本可以在 GitHub 存储库中找到。该数据每5年更新一次，最近一次更新于2018年2月。数据处理方法和步骤数据处理的主要步骤包括：数据采集：使用 API 获取每只股票的历史数据，存储在.csv文件中。数据清理：删除重复条目，纠正格式错误，确保数据完整性。数据合并：将单个股票数据合并到一个大.csv文件中，以便于使用。数据验证：通过检查时间序列的连续性和完整性来验证数据的准确性。使用的设备和工具数据采集工具：Python 脚本数据处理工具：用于数据清洗和处理的 Pandas 库数据存储：CSV文件格式时间和地理范围时间范围：数据涵盖过去 5 年的历史股票价格，最新更新于 2018 年 2 月。地理范围：数据涵盖标准普尔500指数中的所有公司，主要是美国市场数据。时间和空间分辨率时间分辨率：每日数据，每个交易日一条记录。空间分辨率：无地理空间分辨率;数据按公司分组。表格数据条目总数：条目总数取决于标准普尔500指数中的公司数量和总交易日数。行标题和列标题：日期：交易日期格式为yy-mm-dd开盘价：开盘价（美元）最高价：当日最高价（美元）最低价：当日最低价格（美元）收盘价：收盘价（美元）交易量：成交股数名称：以股票代码的名义缺失数据数据集在某些交易日可能缺少数据，主要是由于非交易日（例如节假日）或API数据采集过程中的临时网络问题。这些缺失的数据通常不会影响整体分析结果。数据错误由于数据源是第三方 API，因此数据错误的可能性很低。如果发现错误，通常是由于 API 数据采集过程中的临时网络问题造成的。数据清理过程旨在最大限度地减少和纠正这些错误。数据文件说明数据文件类型：all_stocks_5yr.csv：包含所有股票的合并数据文件。individual_stocks_5yr文件夹：包含每个股票的单个.csv文件。文件内容和格式：文件采用 CSV 格式，每个文件包含日期、开盘价、最高价、最低价、收盘价、成交量和股票名称列。文件大小：文件大小取决于特定股票的交易数据量，通常从几MB到几十MB不等。文件格式说明数据以通用的 CSV 格式存储，可以使用 Excel、Notepad++ 或任何支持 CSV 文件的工具打开和查看。对于进一步的数据处理和分析，可以使用 Python Pandas 库。总结该数据集提供过去5年标准普尔500指数中所有公司的历史股价数据，包括开盘价、最高价、最低价、收盘价、交易量等详细信息。它适用于各种财务数据分析和建模应用。数据通过API获取并处理，以确保准确性和完整性。
description: 数据生成程序该数据集是使用 The Investor's Exchange API 生成的，脚本会定期获取标准普尔 500 指数中所有公司的历史股价。详细说明和脚本可以在 GitHub 存储库中找到。该数据每5年更新一次，最近一次更新于2018年2月。数据处理方法和步骤数据处理的主要步骤包括：数据采集：使用 API 获取每只股票的历史数据，存储在.csv文件中。数据清理：删除重复条目，纠正格式错误，确保数据完整性。数据合并：将单个股票数据合并到一个大.csv文件中，以便于使用。数据验证：通过检查时间序列的连续性和完整性来验证数据的准确性。使用的设备和工具数据采集工具：Python 脚本数据处理工具：用于数据清洗和处理的 Pandas 库数据存储：CSV文件格式时间和地理范围时间范围：数据涵盖过去 5 年的历史股票价格，最新更新于 2018 年 2 月。地理范围：数据涵盖标准普尔500指数中的所有公司，主要是美国市场数据。时间和空间分辨率时间分辨率：每日数据，每个交易日一条记录。空间分辨率：无地理空间分辨率;数据按公司分组。表格数据条目总数：条目总数取决于标准普尔500指数中的公司数量和总交易日数。行标题和列标题：日期：交易日期格式为yy-mm-dd开盘价：开盘价（美元）最高价：当日最高价（美元）最低价：当日最低价格（美元）收盘价：收盘价（美元）交易量：成交股数名称：以股票代码的名义缺失数据数据集在某些交易日可能缺少数据，主要是由于非交易日（例如节假日）或API数据采集过程中的临时网络问题。这些缺失的数据通常不会影响整体分析结果。数据错误由于数据源是第三方 API，因此数据错误的可能性很低。如果发现错误，通常是由于 API 数据采集过程中的临时网络问题造成的。数据清理过程旨在最大限度地减少和纠正这些错误。数据文件说明数据文件类型：all_stocks_5yr.csv：包含所有股票的合并数据文件。individual_stocks_5yr文件夹：包含每个股票的单个.csv文件。文件内容和格式：文件采用 CSV 格式，每个文件包含日期、开盘价、最高价、最低价、收盘价、成交量和股票名称列。文件大小：文件大小取决于特定股票的交易数据量，通常从几MB到几十MB不等。文件格式说明数据以通用的 CSV 格式存储，可以使用 Excel、Notepad++ 或任何支持 CSV 文件的工具打开和查看。对于进一步的数据处理和分析，可以使用 Python Pandas 库。总结该数据集提供过去5年标准普尔500指数中所有公司的历史股价数据，包括开盘价、最高价、最低价、收盘价、交易量等详细信息。它适用于各种财务数据分析和建模应用。数据通过API获取并处理，以确保准确性和完整性。
DOI: 10.57760/sciencedb.11249
title: GHSL-based Chinese urban entities (1975-2020)
title: GHSL-based Chinese urban entities (1975-2020)

description: Accurately defining urban entity (UE) is essential for understanding the urbanization process, assessing environmental impacts, and developing effective urban planning, particularly in China, where urbanization is rapid and characterized by a complex urban-rural structure. Utilizing Global Human Settlement Layer data, we produced the China Urban Entity dataset from 1975 to 2020, achieving an overall accuracy of 90.19%.
description: Accurately defining urban entity (UE) is essential for understanding the urbanization process, assessing environmental impacts, and developing effective urban planning, particularly in China, where urbanization is rapid and characterized by a complex urban-rural structure. Utilizing Global Human Settlement Layer data, we produced the China Urban Entity dataset from 1975 to 2020, achieving an overall accuracy of 90.19%.
DOI: 10.57760/sciencedb.08594
title: Response of Fe-Ni-Cu isotope systematics to sulfide liquid oxygen content: Implications for magmatic sulfide Co enrichment in orogenic settings
title: Response of Fe-Ni-Cu isotope systematics to sulfide liquid oxygen content: Implications for magmatic sulfide Co enrichment in orogenic settings

description: Table 1. In-situ Cu, Fe and Ni isotopes of sulfide minerals in sulfide ores of the Xiarihamu depositSupplementary table 1. The EPMA data of sulfide minerals in Xiarihamu mineralized samples.
description: Table 1. In-situ Cu, Fe and Ni isotopes of sulfide minerals in sulfide ores of the Xiarihamu depositSupplementary table 1. The EPMA data of sulfide minerals in Xiarihamu mineralized samples.
DOI: 10.57760/sciencedb.j00001.00795
title: A dataset of glacial lakes in the alpine mountains of Xinjiang in 2022
title: 2022年新疆高寒山区冰湖数据集

description: We carried out the extraction of the maximum water extent (≥ 0.1 hm²) of glacial lakes in Xinjiang in 2022 using Sentinel-2 time-series data and the DUNet semantic segmentation model in conjunction with visual interpretation and quality control. Based on the relationship between glacial lakes and glaciers, the lakes were categorized into two types: glacier-fed lakes (including supraglacial lakes, glacier-contacted lakes, and glacier-uncontacted lakes) and non-glacier-fed lakes. The resulting dataset provides information on glacial lakes in the alpine mountains of Xinjiang in 2022.This dataset consists of three data files, of which (1) XJ_glacial_lake_2022 is the maximum distribution range shapefile data of glacial lakes in Xinjiang in 2022, with a data volume of 6.08 MB; (2) XJ_glacial_lake_subregion is the distribution range shapefile data of glacial lakes in Xinjiang, with a data volume of 0.50 MB; (3) XJGL _2022_statistics.xlsx is the statistical data on the number and area of glacial lakes in Xinjiang at different regions, sizes, types, and elevation scales in 2022, with a data volume of 0.63 MB.
description: We carried out the extraction of the maximum water extent (≥ 0.1 hm²) of glacial lakes in Xinjiang in 2022 using Sentinel-2 time-series data and the DUNet semantic segmentation model in conjunction with visual interpretation and quality control. Based on the relationship between glacial lakes and glaciers, the lakes were categorized into two types: glacier-fed lakes (including supraglacial lakes, glacier-contacted lakes, and glacier-uncontacted lakes) and non-glacier-fed lakes. The resulting dataset provides information on glacial lakes in the alpine mountains of Xinjiang in 2022.This dataset consists of three data files, of which (1) XJ_glacial_lake_2022 is the maximum distribution range shapefile data of glacial lakes in Xinjiang in 2022, with a data volume of 6.08 MB; (2) XJ_glacial_lake_subregion is the distribution range shapefile data of glacial lakes in Xinjiang, with a data volume of 0.50 MB; (3) XJGL _2022_statistics.xlsx is the statistical data on the number and area of glacial lakes in Xinjiang at different regions, sizes, types, and elevation scales in 2022, with a data volume of 0.63 MB.
DOI: 10.57760/sciencedb.11313
title: Geospatial Approach to Local Level Multi-Hazard Assessment in Malawi: Chikwawa and Nsanje Districts
title: Geospatial Approach to Local Level Multi-Hazard Assessment in Malawi: Chikwawa and Nsanje Districts

description: The datasets support a study on an approach for assessing and quantifying probabilities of occurrence, exposure, vulnerability and capacities required to calculate levels of disaster risk associated with common hazards and their implications on land-based sources of livelihoods across Chikwawa and Nsanje districts in Malawi using a combination of deterministic risk assessment and geospatial techniques. 
description: The datasets support a study on an approach for assessing and quantifying probabilities of occurrence, exposure, vulnerability and capacities required to calculate levels of disaster risk associated with common hazards and their implications on land-based sources of livelihoods across Chikwawa and Nsanje districts in Malawi using a combination of deterministic risk assessment and geospatial techniques.
DOI: 10.57760/sciencedb.17256
title: the raw data of manuscript "Delta-opioid receptor signaling alleviates neuropathology and cognitive impairment in the mouse model of Alzheimer’s Disease by regulating microglia homeostasis and inhibiting HMGB1 pathway"
title: the raw data of manuscript "Delta-opioid receptor signaling alleviates neuropathology and cognitive impairment in the mouse model of Alzheimer’s Disease by regulating microglia homeostasis and inhibiting HMGB1 pathway"

description: All the figures, western blot raw data, sequencing data.
description: All the figures, western blot raw data, sequencing data.
DOI: 10.57760/sciencedb.15244
title: New paleomagnetic and geochronological results from the eastern Tethyan Himalaya refine the size of Greater India in the Early Cretaceous
title: New paleomagnetic and geochronological results from the eastern Tethyan Himalaya refine the size of Greater India in the Early Cretaceous

description: We describe the new paleomagnetic data from the Jiabula Formation in the eastern Tethyan Himalaya. These data can be used to refine the size of Greater India in the Early Cretaceous.
description: We describe the new paleomagnetic data from the Jiabula Formation in the eastern Tethyan Himalaya. These data can be used to refine the size of Greater India in the Early Cretaceous.
DOI: 10.57760/sciencedb.j00001.01139
title: Surface Water Frequency Product of the Tibetan Plateau from 1982 to 2023
title: 1982-2023年青藏高原陆表水体频率产品

description: The Qinghai-Tibet Plateau is called the "Asian Water Tower" and plays a crucial role in the global water cycle, making it a focal point in global change research. This study utilizes a rapid extraction algorithm for land surface water bodies based on prior knowledge to extract land surface water information from the long time series data of Landsat satellites, producing a 30-meter resolution land surface water-frequency product for the Qinghai-Tibet Plateau. This product, offering information on the location, extent, and frequency of land surface water, serves as fundamental data support for water resource monitoring, ecological environment protection, and climate change research in the Qinghai-Tibet Plateau.
description: The Qinghai-Tibet Plateau is called the "Asian Water Tower" and plays a crucial role in the global water cycle, making it a focal point in global change research. This study utilizes a rapid extraction algorithm for land surface water bodies based on prior knowledge to extract land surface water information from the long time series data of Landsat satellites, producing a 30-meter resolution land surface water-frequency product for the Qinghai-Tibet Plateau. This product, offering information on the location, extent, and frequency of land surface water, serves as fundamental data support for water resource monitoring, ecological environment protection, and climate change research in the Qinghai-Tibet Plateau.