cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.iga.00441
title: Remote Sensing Monitoring and Simulation Dataset of Carbon Storage in a 30m Ecosystem of the Great Xing'an Mountains Nature Reserve Project Area (2000)
title: 大兴安岭天保工程区30m生态系统碳储量遥感监测与模拟数据集（2000年）

description: a. Data content (data file/table name, including observation index content)

This dataset includes remote sensing monitoring and simulation data on the ecosystem service capacity of the Greater Xing'an Mountains Natural Protection Engineering Area from 2000 to 2015, which can provide data support for the natural protection engineering in the Greater Xing'an Mountains region.

b. Construction purpose

The key state-owned forest areas in Northeast and Inner Mongolia are important commodity timber production bases in China, and are natural barriers to maintain stable and high yields in agriculture and animal husbandry in Northeast and North China. By tracking and analyzing the carbon reserves in the Greater Xing'an Mountains, data support can be provided for the natural conservation project in the region.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2000

e. The spatial range of data

Daxing'anling Tianbao Engineering Area
description: a. Data content (data file/table name, including observation index content)

This dataset includes remote sensing monitoring and simulation data on the ecosystem service capacity of the Greater Xing'an Mountains Natural Protection Engineering Area from 2000 to 2015, which can provide data support for the natural protection engineering in the Greater Xing'an Mountains region.

b. Construction purpose

The key state-owned forest areas in Northeast and Inner Mongolia are important commodity timber production bases in China, and are natural barriers to maintain stable and high yields in agriculture and animal husbandry in Northeast and North China. By tracking and analyzing the carbon reserves in the Greater Xing'an Mountains, data support can be provided for the natural conservation project in the region.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2000

e. The spatial range of data

Daxing'anling Tianbao Engineering Area
DOI: 10.15468/dl.w3shvc
title: Occurrence Download

description: A dataset listing the 22 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is A dataset of true mangrove records in Sarangani Bay Protected Seascape, Philippines"
 ]
}

 The dataset's 22 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000803-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.iga.00442
title: Remote Sensing Monitoring and Simulation Dataset for Habitat Quality of the 250m Ecological System in the Tianbao Engineering Area of the Greater Xing'an Mountains (2015)
title: 大兴安岭天保工程区250m生态系统生境质量遥感监测与模拟数据集(2015年)

description: a. Data content (data file/table name, including observation index content)

This dataset includes remote sensing monitoring and simulation data on the ecosystem service capacity of the Greater Xing'an Mountains Natural Protection Engineering Area from 2000 to 2015, which can provide data support for the natural protection engineering in the Greater Xing'an Mountains region.

b. Construction purpose

The key state-owned forest areas in Northeast and Inner Mongolia are important commodity timber production bases in China, and are natural barriers to maintain stable and high yields in agriculture and animal husbandry in Northeast and North China. By tracking and analyzing the habitat quality of the Greater Xing'an Mountains, data support can be provided for the natural conservation project in the Greater Xing'an Mountains region.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2015

e. The spatial range of data

Daxing'anling Tianbao Engineering Area
description: a. Data content (data file/table name, including observation index content)

This dataset includes remote sensing monitoring and simulation data on the ecosystem service capacity of the Greater Xing'an Mountains Natural Protection Engineering Area from 2000 to 2015, which can provide data support for the natural protection engineering in the Greater Xing'an Mountains region.

b. Construction purpose

The key state-owned forest areas in Northeast and Inner Mongolia are important commodity timber production bases in China, and are natural barriers to maintain stable and high yields in agriculture and animal husbandry in Northeast and North China. By tracking and analyzing the habitat quality of the Greater Xing'an Mountains, data support can be provided for the natural conservation project in the Greater Xing'an Mountains region.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2015

e. The spatial range of data

Daxing'anling Tianbao Engineering Area
DOI: 10.57760/sciencedb.11418
title: Passive imaging through dense scattering media
title: 被动散射成像——长沙雾图

description: This dataset is haze images of passive imaging modes acquired in Changsha in 2021 to validate the research on angle-selective device for signal-to-noise ratio enhancement in the acquisition of raw images.
description: This dataset is haze images of passive imaging modes acquired in Changsha in 2021 to validate the research on angle-selective device for signal-to-noise ratio enhancement in the acquisition of raw images.
DOI: 10.57760/sciencedb.11421
title: NCFs from AOBS and POBS data in the southernmost Mariana Trench
title: NCFs from AOBS and POBS data in the southernmost Mariana Trench

description: Ambient noise cross-correlation functions using active source OBS data in the southernmost Mariana Trench. We adoptd a comnined method of short segment cross-correlation and selected time-frequency domain phase-weighted stack to the data and obtain high-quality waveforms.
description: Ambient noise cross-correlation functions using active source OBS data in the southernmost Mariana Trench. We adoptd a comnined method of short segment cross-correlation and selected time-frequency domain phase-weighted stack to the data and obtain high-quality waveforms.
DOI: 10.57760/sciencedb.j00186.00260
title: The distribution of H@2.223MeV counts on the lunar surface
title: The distribution of H@2.223MeV counts on the lunar surface

description: By utilizing the nonlinear least squares fitting and the LM (Levenberg-Marquardt)-BP algorithm to construct two types of spectral inversion models (lunar highlands and lunar maria) are trained to produce this dataset from CE2-GRS data. A map of 2H@2.223MeV counts on the lunar surface is produced by this dataset (spatial resolution 1°x1°). The dataset comprises a total of 65,298 dates. The first column represents the longitude of the location point, the second column represents the latitude of the location point, and the third column represents the corresponding count rate (counts/3s) at each location point. To facilitate graph plotting, values with computed results less than or equal to zero are counted as zero.
description: By utilizing the nonlinear least squares fitting and the LM (Levenberg-Marquardt)-BP algorithm to construct two types of spectral inversion models (lunar highlands and lunar maria) are trained to produce this dataset from CE2-GRS data. A map of 2H@2.223MeV counts on the lunar surface is produced by this dataset (spatial resolution 1°x1°). The dataset comprises a total of 65,298 dates. The first column represents the longitude of the location point, the second column represents the latitude of the location point, and the third column represents the corresponding count rate (counts/3s) at each location point. To facilitate graph plotting, values with computed results less than or equal to zero are counted as zero.
DOI: 10.57760/sciencedb.j00133.00348
title: Short video dataset of Douyin
title: 抖音短视频数据集

description: The data set is crawled by the author through the selenium framework and third-party API. The video comes from the Tiktok platform, and the time span is from January 24, 2019 to May 14, 2022. It contains video information folders and result set folders respectively. The data information is mainly saved as csv and txt files. The video information folder includes the URL of the video, video publisher information, video information, video cover, and video audio, with the video title text being blurred. The video results folder contains the original image files, experimental results, and experimental analysis results in the manuscript, specifically including video similarity, video theme, video audio features, video sentiment, clustering SSE, audio sentiment model, etc. 
description: The data set is crawled by the author through the selenium framework and third-party API. The video comes from the Tiktok platform, and the time span is from January 24, 2019 to May 14, 2022. It contains video information folders and result set folders respectively. The data information is mainly saved as csv and txt files. The video information folder includes the URL of the video, video publisher information, video information, video cover, and video audio, with the video title text being blurred. The video results folder contains the original image files, experimental results, and experimental analysis results in the manuscript, specifically including video similarity, video theme, video audio features, video sentiment, clustering SSE, audio sentiment model, etc.
DOI: 10.57760/sciencedb.11433
title: A novel Fas ligand plays an important role in cell apoptosis of Crassostrea hongkongensis: molecular cloning, expression profiles and functional identification of ChFasL
title: A novel Fas ligand plays an important role in cell apoptosis of Crassostrea hongkongensis: molecular cloning, expression profiles and functional identification of ChFasL

description: Raw data are associated with articles
description: Raw data are associated with articles
DOI: 10.57760/sciencedb.11422
title: Land surface temperature and change evaluation data set of the Danjiang River Basin (Henan section) in China during the early construction period (2002–2005) and the late construction period (2019–2021) of the middle route of the South-to-North Water Diversion Project.
title: Land surface temperature and change evaluation data set of the Danjiang River Basin (Henan section) in China during the early construction period (2002–2005) and the late construction period (2019–2021) of the middle route of the South-to-North Water Diversion Project.

description: 选择2003年、2004年、2005年作为南水北调工程中线建设前的时期，选择2019年、2020年、2021年作为南水北调工程中线建设后的时期。雨季使用8月、9月和10月的平均数据，旱季使用12月和次年1月和2月的平均数据。要使用dem-ima算法重建表面温度，计算中需要涉及相邻周期的温度数据。所选数据以2002-2006年和2018-2022年1月、2月、3月、7月、8月、9月、10月、11月和12月的MODIS地表温度MYD11A2数据为数据源，其空间分辨率为1 km，复访周期为8天。作为南水北调中线工程的主要水源，丹江流域（河南段）位于河南省西南部。地理坐标为东经110°35′-111°58′，北纬33°30′-34°01′，总面积8411.57平方千米（图1）。地势北高南低。地形包括北部的山区和中部和南部的平原。它西面环绕着伏牛山。地形复杂起伏，海拔从114米到2093米不等。然后，通过计算和分析南水北调中心项目温差（TD）、工程效应变化强度（PECI）和温度调节效应的分布和变化规律，探讨南水北调中心工程在不同时间节点对研究区LST的影响。
description: 选择2003年、2004年、2005年作为南水北调工程中线建设前的时期，选择2019年、2020年、2021年作为南水北调工程中线建设后的时期。雨季使用8月、9月和10月的平均数据，旱季使用12月和次年1月和2月的平均数据。要使用dem-ima算法重建表面温度，计算中需要涉及相邻周期的温度数据。所选数据以2002-2006年和2018-2022年1月、2月、3月、7月、8月、9月、10月、11月和12月的MODIS地表温度MYD11A2数据为数据源，其空间分辨率为1 km，复访周期为8天。作为南水北调中线工程的主要水源，丹江流域（河南段）位于河南省西南部。地理坐标为东经110°35′-111°58′，北纬33°30′-34°01′，总面积8411.57平方千米（图1）。地势北高南低。地形包括北部的山区和中部和南部的平原。它西面环绕着伏牛山。地形复杂起伏，海拔从114米到2093米不等。然后，通过计算和分析南水北调中心项目温差（TD）、工程效应变化强度（PECI）和温度调节效应的分布和变化规律，探讨南水北调中心工程在不同时间节点对研究区LST的影响。
DOI: 10.57760/sciencedb.j00168.00023
title: Phase noise generation program
title: 相位噪声生成程序

description: Using this program, the simulation generation of phase noise required by the paper is completed.
description: Using this program, the simulation generation of phase noise required by the paper is completed.
DOI: 10.57760/sciencedb.j00168.00024
title: Research on high dynamic signal acquisition algorithm of low Earth orbit satellite
title: 低轨卫星高动态信号捕获算法研究

description: The number of LEO (low Earth orbit) satellites is growing in a blowout. In the future, space-based measurement and control of LEO satellites will be an effective means to improve the management and control ability of massive satellites. Aiming at the problem of fast signal acquisition caused by fast satellite motion speed, large Doppler frequency and short visual time when receiving space-based signals, this paper studied the applicability of PMF-FFT (partial match filter-fast Fourier transform) high dynamic acquisition algorithm to the system, and analyzed the determinants of acquisition Doppler range, the requirements of acquisition for signal-to-noise ratio and the related factors of average acquisition time, and these were verified by Matlab simulation. The results showed that when the Doppler was 95 kHz, the SNR (signal noise ratio) was more than -25 dB, and the average acquisition time was less than 200 ms. For different signal systems and Doppler frequencies, the length of matched filter and the number of FFT points need to be adjusted. The acquisition algorithm was suitable for LEO satellite on-board terminals.
description: The number of LEO (low Earth orbit) satellites is growing in a blowout. In the future, space-based measurement and control of LEO satellites will be an effective means to improve the management and control ability of massive satellites. Aiming at the problem of fast signal acquisition caused by fast satellite motion speed, large Doppler frequency and short visual time when receiving space-based signals, this paper studied the applicability of PMF-FFT (partial match filter-fast Fourier transform) high dynamic acquisition algorithm to the system, and analyzed the determinants of acquisition Doppler range, the requirements of acquisition for signal-to-noise ratio and the related factors of average acquisition time, and these were verified by Matlab simulation. The results showed that when the Doppler was 95 kHz, the SNR (signal noise ratio) was more than -25 dB, and the average acquisition time was less than 200 ms. For different signal systems and Doppler frequencies, the length of matched filter and the number of FFT points need to be adjusted. The acquisition algorithm was suitable for LEO satellite on-board terminals.
DOI: 10.57760/sciencedb.nbsdc.00058
title: Wind turbine roll decay curves
title: Wind turbine roll decay curves

description: Wind turbine roll decay curves
description: Wind turbine roll decay curves
DOI: 10.57760/sciencedb.iga.00443
title: Remote Sensing Monitoring and Simulation Dataset for Habitat Quality of the 250m Ecological System in the Tianbao Engineering Area of the Greater Xing'an Mountains (2000)
title: 大兴安岭天保工程区250m生态系统生境质量遥感监测与模拟数据集(2000年)

description: a. Data content (data file/table name, including observation index content)

This dataset includes remote sensing monitoring and simulation data on the ecosystem service capacity of the Greater Xing'an Mountains Natural Protection Engineering Area from 2000 to 2015, which can provide data support for the natural protection engineering in the Greater Xing'an Mountains region.

b. Construction purpose

The key state-owned forest areas in Northeast and Inner Mongolia are important commodity timber production bases in China, and are natural barriers to maintain stable and high yields in agriculture and animal husbandry in Northeast and North China. By tracking and analyzing the habitat quality of the Greater Xing'an Mountains, data support can be provided for the natural conservation project in the Greater Xing'an Mountains region.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2000

e. The spatial range of data

Daxing'anling Tianbao Engineering Area
description: a. Data content (data file/table name, including observation index content)

This dataset includes remote sensing monitoring and simulation data on the ecosystem service capacity of the Greater Xing'an Mountains Natural Protection Engineering Area from 2000 to 2015, which can provide data support for the natural protection engineering in the Greater Xing'an Mountains region.

b. Construction purpose

The key state-owned forest areas in Northeast and Inner Mongolia are important commodity timber production bases in China, and are natural barriers to maintain stable and high yields in agriculture and animal husbandry in Northeast and North China. By tracking and analyzing the habitat quality of the Greater Xing'an Mountains, data support can be provided for the natural conservation project in the Greater Xing'an Mountains region.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2000

e. The spatial range of data

Daxing'anling Tianbao Engineering Area
DOI: 10.57760/sciencedb.iga.00444
title: Remote Sensing Monitoring and Simulation Dataset for Water Yield of 1km Ecosystem in the Tianbao Project Area of the Greater Xing'an Mountains (2015)
title: 大兴安岭天保工程区1km生态系统产水量遥感监测与模拟数据集(2015年)

description: a. Data content (data file/table name, including observation index content)

This dataset includes remote sensing monitoring and simulation data on the ecosystem service capacity of the Greater Xing'an Mountains Natural Protection Engineering Area from 2000 to 2015, which can provide data support for the natural protection engineering in the Greater Xing'an Mountains region.

b. Construction purpose

The key state-owned forest areas in Northeast and Inner Mongolia are important commodity timber production bases in China, and are natural barriers to maintain stable and high yields in agriculture and animal husbandry in Northeast and North China. By tracking and analyzing the water production in the Greater Xing'an Mountains, data support can be provided for the natural conservation project in the region.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2015

e. The spatial range of data

Daxing'anling Tianbao Engineering Area
description: a. Data content (data file/table name, including observation index content)

This dataset includes remote sensing monitoring and simulation data on the ecosystem service capacity of the Greater Xing'an Mountains Natural Protection Engineering Area from 2000 to 2015, which can provide data support for the natural protection engineering in the Greater Xing'an Mountains region.

b. Construction purpose

The key state-owned forest areas in Northeast and Inner Mongolia are important commodity timber production bases in China, and are natural barriers to maintain stable and high yields in agriculture and animal husbandry in Northeast and North China. By tracking and analyzing the water production in the Greater Xing'an Mountains, data support can be provided for the natural conservation project in the region.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2015

e. The spatial range of data

Daxing'anling Tianbao Engineering Area
DOI: 10.57760/sciencedb.iga.00445
title: Remote Sensing Monitoring and Simulation Dataset for Water Yield of 1km Ecosystem in the Tianbao Project Area of the Greater Xing'an Mountains (2000)
title: 大兴安岭天保工程区1km生态系统产水量遥感监测与模拟数据集(2000年)

description: a. Data content (data file/table name, including observation index content)

This dataset includes remote sensing monitoring and simulation data on the ecosystem service capacity of the Greater Xing'an Mountains Natural Protection Engineering Area from 2000 to 2015, which can provide data support for the natural protection engineering in the Greater Xing'an Mountains region.

b. Construction purpose

The key state-owned forest areas in Northeast and Inner Mongolia are important commodity timber production bases in China, and are natural barriers to maintain stable and high yields in agriculture and animal husbandry in Northeast and North China. By tracking and analyzing the water production in the Greater Xing'an Mountains, data support can be provided for the natural conservation project in the region.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2000

e. The spatial range of data

Daxing'anling Tianbao Engineering Area
description: a. Data content (data file/table name, including observation index content)

This dataset includes remote sensing monitoring and simulation data on the ecosystem service capacity of the Greater Xing'an Mountains Natural Protection Engineering Area from 2000 to 2015, which can provide data support for the natural protection engineering in the Greater Xing'an Mountains region.

b. Construction purpose

The key state-owned forest areas in Northeast and Inner Mongolia are important commodity timber production bases in China, and are natural barriers to maintain stable and high yields in agriculture and animal husbandry in Northeast and North China. By tracking and analyzing the water production in the Greater Xing'an Mountains, data support can be provided for the natural conservation project in the region.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2000

e. The spatial range of data

Daxing'anling Tianbao Engineering Area
DOI: 10.57760/sciencedb.iga.00446
title: Spatial data on carbon storage changes in the 30m ecosystem of the Tumen River Basin (spanning China, North Korea, and Russia) (1990-2015)
title: 图们江流域(跨中、朝、俄) 30m生态系统碳储量变化空间数据 (1990-2015年)

description: a. Data content (data file/table name, including observation index content)

The spatial data of 30m ecosystem carbon storage changes in the Tumen River Basin (spanning China, North Korea, and Russia) from 1990 to 2015 reflects the changes in ecosystem carbon storage in the Tumen River Basin (spanning China, North Korea, and Russia) from 1990 to 2015.

b. Construction purpose

This dataset is based on remote sensing image data and extracts the changes in land cover and ecosystem carbon storage in the Tumen River Basin from 1990 to 2015, providing data support and theoretical basis for land resource management.

c. Service object

It can widely serve scientific researchers in related disciplines such as geography, wetland ecology, and environmental protection.

d. Time range of data

From 1990 to 2015

e. The spatial range of data

Tumen River Basin (spanning China, Korea, and Russia)
description: a. Data content (data file/table name, including observation index content)

The spatial data of 30m ecosystem carbon storage changes in the Tumen River Basin (spanning China, North Korea, and Russia) from 1990 to 2015 reflects the changes in ecosystem carbon storage in the Tumen River Basin (spanning China, North Korea, and Russia) from 1990 to 2015.

b. Construction purpose

This dataset is based on remote sensing image data and extracts the changes in land cover and ecosystem carbon storage in the Tumen River Basin from 1990 to 2015, providing data support and theoretical basis for land resource management.

c. Service object

It can widely serve scientific researchers in related disciplines such as geography, wetland ecology, and environmental protection.

d. Time range of data

From 1990 to 2015

e. The spatial range of data

Tumen River Basin (spanning China, Korea, and Russia)