cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00001.00182
title: A dataset of glacier vector in the Qaidam Basin from 1977 to 2018
title: 1977–2018年柴达木盆地冰川矢量数据集

description: The Qaidam Basin (34°41′N–39°20′N, 87°49′E–101°11′E), a closed inland basin located in the northeastern Tibetan Plateau and surrounded by the Qilian Mountains, Altun Mountains and Kunlun Mountains, covers part of Qinghai Province, Gansu Province and Xinjiang Uygur Autonomous Region. The elevation of the basin is between 2391 m and 6826 m, with an average altitude of 4165 m. A large number of modern glaciers were developed in the Qaidam Basin. The glacial meltwater is an important source for the many rivers in the basin and a significant safeguard for local socio-economic development and people's life. Therefore, glacial changes in the region have an important influence on water resources and their rational utilization. Based on the Landsat MSS/TM/OLI from 1977 to 2018 and the ASTER GDEM data, we extracted the glacier vector data of the Qaidam Basin from 1977 to 2018 and provided each glacier’s properties including GLIMS_ID, name, basin, area and image source et al. The dataset presents the status of glaciers in Qaidam Basin in 1977, 2002 and 2018, which can be used as the basic data for research on glacier change and climate change in this region.
description: The Qaidam Basin (34°41′N–39°20′N, 87°49′E–101°11′E), a closed inland basin located in the northeastern Tibetan Plateau and surrounded by the Qilian Mountains, Altun Mountains and Kunlun Mountains, covers part of Qinghai Province, Gansu Province and Xinjiang Uygur Autonomous Region. The elevation of the basin is between 2391 m and 6826 m, with an average altitude of 4165 m. A large number of modern glaciers were developed in the Qaidam Basin. The glacial meltwater is an important source for the many rivers in the basin and a significant safeguard for local socio-economic development and people's life. Therefore, glacial changes in the region have an important influence on water resources and their rational utilization. Based on the Landsat MSS/TM/OLI from 1977 to 2018 and the ASTER GDEM data, we extracted the glacier vector data of the Qaidam Basin from 1977 to 2018 and provided each glacier’s properties including GLIMS_ID, name, basin, area and image source et al. The dataset presents the status of glaciers in Qaidam Basin in 1977, 2002 and 2018, which can be used as the basic data for research on glacier change and climate change in this region.
DOI: 10.57760/sciencedb.j00001.00218
title: A dataset of soil moisture content of Abies fabri in Gongga Mountain, southeastern Qinghai-Tibet Plateau, during 2007–2017
title: 2007–2017年青藏高原东南缘贡嘎山峨眉冷杉林土壤含水量数据集

description: As the core of hydrological cycle of terrestrial ecosystem, soil water is an important carrier of the material cycle and energy exchange of forest ecosystem, and lays an important role in the hydrological processes and nutrient circulation of forest ecosystems. It is one of the important indicators for long-term observation of terrestrial ecosystem water environment. Pursuant to the protocols for standard soil observation and measurement of CERN, the Gongga Mountain station has been carrying out long-term monitoring of soil moisture content. This dataset collected and processed soil moisture content of mature Abies fabri forest, middle- aged A. fabri forest, succession forest of A. fabri and Populus purdomii, and the meteorological station of 3000 m. This provides data for understanding the soil moisture dynamic characteristics and its response to climate changes in this region. It is of great significance to the water balance, forest productivity, and ecological function maintenance of regional forest ecosystem.The dataset consists of one data file comprised of 1945 entries. It contains volumetric soil water content data of mature A. fabri forest, middle- aged A. fabri forest, succession forest of A. fabri and Populus purdomii, and the meteorological station of 3000 m.
description: As the core of hydrological cycle of terrestrial ecosystem, soil water is an important carrier of the material cycle and energy exchange of forest ecosystem, and lays an important role in the hydrological processes and nutrient circulation of forest ecosystems. It is one of the important indicators for long-term observation of terrestrial ecosystem water environment. Pursuant to the protocols for standard soil observation and measurement of CERN, the Gongga Mountain station has been carrying out long-term monitoring of soil moisture content. This dataset collected and processed soil moisture content of mature Abies fabri forest, middle- aged A. fabri forest, succession forest of A. fabri and Populus purdomii, and the meteorological station of 3000 m. This provides data for understanding the soil moisture dynamic characteristics and its response to climate changes in this region. It is of great significance to the water balance, forest productivity, and ecological function maintenance of regional forest ecosystem.The dataset consists of one data file comprised of 1945 entries. It contains volumetric soil water content data of mature A. fabri forest, middle- aged A. fabri forest, succession forest of A. fabri and Populus purdomii, and the meteorological station of 3000 m.
DOI: 10.57760/sciencedb.j00001.00222
title: High-precision aerial imagery and interpretation dataset of landslide and debris flow disaster in Sichuan and surrounding areas
title: 四川及周边滑坡泥石流灾害高精度航空影像及解译数据集

description: Based on the landslides and debris flow disasters high-resolution digital orthophoto map (with the resolution of 0.2 m~0.9 m) in Sichuan province and its surrounding area since 2008, this paper uses visual interpretation methods to extract landslides and debris flow disasters and label the disasters. A set of the most accurate and most typical aerial imagery and interpretation data sets of landslides and debris flows are developed. The data set contains 107 typical landslide and debris flow hazard images, annotation data and description files, involving four types of disasters, including earthquake landslides, rainfall landslides, gully debris flows and slope debris flows. The disasters selected for the data sets covers the “5·12” Wenchuan, “4·20” Lushan, “8·8” Jiuzhaigou earthquake affected area, as well as the areas along the Jinsha River and Dadu River. The quality of this data set is very good, because of high-precision image data sources, interpretation and annotations by geohazard experts, and detailed disaster information. Compared with previous relevant data sets, this data set is more valuable in terms of data source quality, data set completeness and potential applications. It can not only be used for automatic interpretation of landslides and debris flow disasters, but also for disaster distribution and risk assessment research.
description: Based on the landslides and debris flow disasters high-resolution digital orthophoto map (with the resolution of 0.2 m~0.9 m) in Sichuan province and its surrounding area since 2008, this paper uses visual interpretation methods to extract landslides and debris flow disasters and label the disasters. A set of the most accurate and most typical aerial imagery and interpretation data sets of landslides and debris flows are developed. The data set contains 107 typical landslide and debris flow hazard images, annotation data and description files, involving four types of disasters, including earthquake landslides, rainfall landslides, gully debris flows and slope debris flows. The disasters selected for the data sets covers the “5·12” Wenchuan, “4·20” Lushan, “8·8” Jiuzhaigou earthquake affected area, as well as the areas along the Jinsha River and Dadu River. The quality of this data set is very good, because of high-precision image data sources, interpretation and annotations by geohazard experts, and detailed disaster information. Compared with previous relevant data sets, this data set is more valuable in terms of data source quality, data set completeness and potential applications. It can not only be used for automatic interpretation of landslides and debris flow disasters, but also for disaster distribution and risk assessment research.
DOI: 10.34820/fk2/odpstg/gnurkf
title: dataset-pariwisata-putu.csv

description: :unav
DOI: 10.34820/fk2/odpstg
title: The Mobility, Sentiment and Problems Identification Analysis in Tourism Industry using Social Media Data

description: Tourism industries have the potential to contribute to the country's income, and as they should, we expect this industry to continue to grow each year. Indonesia is one of the well-known countries with incredible destinations to visit by domestic and international tourists that are continuously growing. There are many ways to determine a suitable strategy to understand tourist behavior, such as understanding tourist mobility, sentiment, and problems. Using tourist reviews or user-generated content (UGC) data on the Tripadvisor website, we employ social network analysis (SNA) to identify tourist mobility, favorite and in-between destination using network metrics and measurements. We use sentiment analysis to classify tourist sentiment. And multiclass text classification method to find out various problems in tourist reviews. We also construct a text corpus for the tourism domain to classify tourism problems. The results represent the complex tourist mobility to recognize the favorite destination, the tourist sentiment in each destination, and the problem in Bali tourism. The combined model benefits many stakeholders such as tourists, the government, and business organizations.
DOI: 10.57760/sciencedb.j00001.00254
title: A dataset of tree-ring based regional precipitation variations reconstruction in the United States during the last millennium
title: 基于树轮宽度指数的过去千年美国分区降水变化数据集

description: Firstly, based on 1258 tree ring width index chronologies in the United States and monthly precipitation data from 1901 to 2015, the correlation between tree ring width and annual precipitation (from October last year to September that year) and the spatial pattern of precipitation change were analyzed; Then, on this basis, the United States is divided into 12 precipitation change regions, and 632 tree ring width chronologies with significant positive correlation with the annual precipitation change of each region and the length up to 1750 years ago are selected; Finally, the calibration equation of precipitation reconstruction is constructed by using the method of partition and segmentation, and the annual precipitation series of 12 regions in the United States are reconstructed.
description: Firstly, based on 1258 tree ring width index chronologies in the United States and monthly precipitation data from 1901 to 2015, the correlation between tree ring width and annual precipitation (from October last year to September that year) and the spatial pattern of precipitation change were analyzed; Then, on this basis, the United States is divided into 12 precipitation change regions, and 632 tree ring width chronologies with significant positive correlation with the annual precipitation change of each region and the length up to 1750 years ago are selected; Finally, the calibration equation of precipitation reconstruction is constructed by using the method of partition and segmentation, and the annual precipitation series of 12 regions in the United States are reconstructed.
DOI: 10.57760/sciencedb.986
title: Landsat Spectral Indices Products over China
title: 中国区域Landsat遥感指数产品集

description: The remote sensing spectral index is widely used because of its simple calculation and good indication, which can effectively measure and monitor the corresponding features of the earth surface. On the basis of Landsat land surface reflectance products, seven spectral includes including NDVI, EVI, SAVI, MSAVI, NDWI, NDMI, and NBR have been produced, which covered land aeras of China ranging from 1980s to 2019. The remote sensing spectral index products were stored in Geotiff format with a corresponding quality assessment files (QA), and an XML metadata file.
description: The remote sensing spectral index is widely used because of its simple calculation and good indication, which can effectively measure and monitor the corresponding features of the earth surface. On the basis of Landsat land surface reflectance products, seven spectral includes including NDVI, EVI, SAVI, MSAVI, NDWI, NDMI, and NBR have been produced, which covered land aeras of China ranging from 1980s to 2019. The remote sensing spectral index products were stored in Geotiff format with a corresponding quality assessment files (QA), and an XML metadata file.
DOI: 10.57760/sciencedb.947
title: A radiometric normalization dataset of Shandong Province based on Gaofen-1 WFV image (2018)
title: 2018年山东省GF-1 WFV相对辐射归一化数据集

description: Surface reflectance is a critical physical variable that affects the energy budget in land-atmosphere interactions, feature recognition and classification, and climate change research. This dataset uses the relative radiometric normalization method, and takes the Landsat-8 Operational Land Imager (OLI) surface reflectance products as the reference image to normalize the GF-1 satellite WFV sensor cloud-free images of Shandong Province in 2018. Relative radiometric normalization processing mainly includes atmospheric correction, image resampling, image registration, mask, extract the no-change pixels and calculate normalization coefficients. After relative radiometric normalization, the no-change pixels of each GF-1 WFV image and its reference image, R2 is 0.7295 above, RMSE is below 0.0172. The surface reflectance accuracy of GF-1 WFV image is improved, which can be used in cooperation with Landsat data to provide data support for remote sensing quantitative inversion. This dataset is in GeoTIFF format, and the spatial resolution of the image is 16 m.
description: Surface reflectance is a critical physical variable that affects the energy budget in land-atmosphere interactions, feature recognition and classification, and climate change research. This dataset uses the relative radiometric normalization method, and takes the Landsat-8 Operational Land Imager (OLI) surface reflectance products as the reference image to normalize the GF-1 satellite WFV sensor cloud-free images of Shandong Province in 2018. Relative radiometric normalization processing mainly includes atmospheric correction, image resampling, image registration, mask, extract the no-change pixels and calculate normalization coefficients. After relative radiometric normalization, the no-change pixels of each GF-1 WFV image and its reference image, R2 is 0.7295 above, RMSE is below 0.0172. The surface reflectance accuracy of GF-1 WFV image is improved, which can be used in cooperation with Landsat data to provide data support for remote sensing quantitative inversion. This dataset is in GeoTIFF format, and the spatial resolution of the image is 16 m.
DOI: 10.57760/sciencedb.987
title: Inland surface water products with 30m spatial resolution in Lanmei Watershed
title: 澜湄流域30 m分辨率陆表水体产品

description: The land surface water product with a spatial resolution of 30m in the Lanmei Watershed (2018) was produced by using the water intelligent extraction method driven by multi indexes and prior knowledge at a global scale based on Landsat 8 surface reflectance data. Firstly, data preprocessing was carried out, then NDWI, NDVI, NDBI and terrain indexes were calculated. And the existing land surface water products were used as prior knowledge, water and non-water samples were further selected, and then sample optimization were conducted. Finally, the decision tree model was used to train samples to determine the threshold value of corresponding index adaptively. Consequently, the high-precision inland surface water thematic map with the accuracy of above 98% were generated. The dataset can provide important data support and guarantee for water resources security and management, climate change, ecological environment and other aspects in Lanmei Watershed. The result is stored in the form of GeoTiff.
description: The land surface water product with a spatial resolution of 30m in the Lanmei Watershed (2018) was produced by using the water intelligent extraction method driven by multi indexes and prior knowledge at a global scale based on Landsat 8 surface reflectance data. Firstly, data preprocessing was carried out, then NDWI, NDVI, NDBI and terrain indexes were calculated. And the existing land surface water products were used as prior knowledge, water and non-water samples were further selected, and then sample optimization were conducted. Finally, the decision tree model was used to train samples to determine the threshold value of corresponding index adaptively. Consequently, the high-precision inland surface water thematic map with the accuracy of above 98% were generated. The dataset can provide important data support and guarantee for water resources security and management, climate change, ecological environment and other aspects in Lanmei Watershed. The result is stored in the form of GeoTiff.
DOI: 10.57760/sciencedb.966
title: A meteorological dataset observed by Dinghushan Forest Ecosystem Research Station (2005–2018)
title: 2005–2018年鼎湖山森林生态系统定位研究站气象数据集

description: Meteorological data are an important basis for the description of regional climate characteristics. Long-term meteorological observation has a profound effect on the improvement of meteorological forecast, the capability of preventing and mitigating weather-related disasters, and the awareness of and response to climate change. Meteorological factor is one of the important elements for field observation at all stations of the Chinese Ecosystem Research Network (CERN). Dinghushan Forest Ecosystem Research Station (hereafter referred to as Dinghushan Station) is located in the north margin of south subtropical zone of Guangdong Province, a typical subtropical monsoon climate with abundant water and heat resources. Based on the meteorological observation field and in line with the atmospheric environment observation standard of CERN, we carried out the long-term observation and data quality control of key meteorological elements at the station. This dataset offers a detailed and systematic report on the monitoring data of VISILA automatic observation system in the meteorological observation field of Dinghushan Station from 2005 to 2018. It is aimed to provide data support for the research and production of relevant industries of regional national economy, especially agriculture, forestry, water conservancy and other fields.
description: Meteorological data are an important basis for the description of regional climate characteristics. Long-term meteorological observation has a profound effect on the improvement of meteorological forecast, the capability of preventing and mitigating weather-related disasters, and the awareness of and response to climate change. Meteorological factor is one of the important elements for field observation at all stations of the Chinese Ecosystem Research Network (CERN). Dinghushan Forest Ecosystem Research Station (hereafter referred to as Dinghushan Station) is located in the north margin of south subtropical zone of Guangdong Province, a typical subtropical monsoon climate with abundant water and heat resources. Based on the meteorological observation field and in line with the atmospheric environment observation standard of CERN, we carried out the long-term observation and data quality control of key meteorological elements at the station. This dataset offers a detailed and systematic report on the monitoring data of VISILA automatic observation system in the meteorological observation field of Dinghushan Station from 2005 to 2018. It is aimed to provide data support for the research and production of relevant industries of regional national economy, especially agriculture, forestry, water conservancy and other fields.
DOI: 10.57760/sciencedb.997
title: 13C-Labelling data for HCT116 Glc- Gal- and SURF1 KO-cells
title: 13C-Labelling data for HCT116 Glc- Gal- and SURF1 KO-cells

description: This data set comprises the GC-MS raw data for analysis of the metabolism of HCT116 wild type cells in Glucose- and Galactose-containining medium as well as the SURF1 KO-mutant. Analysis was done using isotopically labeled tracers as described in Spier et al. (2021). "Mitochondrial respiration restricts Listeria monocytogenes infection by slowing down host cell receptor recycling"The data here represent three different experiments refering to Figs. 2A-C in the manuscript. Regarding the nomenclature of the individual files, Lm refers to Listeria monocytogenes. Subsequently the date of the experiment is mentioned followed by the labeled substrate that was added during cultivation: 13CGlc refers to [U-13C6]glucose, 13CGal refers to [U-13C6]galactose, 13C5Glu refers to [U-13C5]glutamine. Ui means uninfected and the subsequent number indicates biological replicate 1 or 2. The final abbreviation refers to the metabolites under analysis in the respective expirement: AS meaning protein-bound amino acids and PM meaning polar metabolites extracted from the cytosol.
description: This data set comprises the GC-MS raw data for analysis of the metabolism of HCT116 wild type cells in Glucose- and Galactose-containining medium as well as the SURF1 KO-mutant. Analysis was done using isotopically labeled tracers as described in Spier et al. (2021). "Mitochondrial respiration restricts Listeria monocytogenes infection by slowing down host cell receptor recycling"The data here represent three different experiments refering to Figs. 2A-C in the manuscript. Regarding the nomenclature of the individual files, Lm refers to Listeria monocytogenes. Subsequently the date of the experiment is mentioned followed by the labeled substrate that was added during cultivation: 13CGlc refers to [U-13C6]glucose, 13CGal refers to [U-13C6]galactose, 13C5Glu refers to [U-13C5]glutamine. Ui means uninfected and the subsequent number indicates biological replicate 1 or 2. The final abbreviation refers to the metabolites under analysis in the respective expirement: AS meaning protein-bound amino acids and PM meaning polar metabolites extracted from the cytosol.
DOI: 10.57760/sciencedb.j00001.00233
title: A dataset of glacier length for 2000 in China (V1.0)
title: 中国2000年冰川长度数据集（V1.0）

description: Glacier length is not only a basic property in glacier inventory, but also an important parameter reflecting glacier geometry and glacier change. Based on Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) images from 1998 to 2003, the outline of individual glacier was firstly interpreted by adopting the method in the Second China Glacier Inventory. Combined with ASTER GEDM data, the dataset of glacier length for 2000 in China (V1.0) was built by using the method of glacier centerline. This dataset reflects the basic length information of glaciers with a total number of 48126 in China around 2000. The vectorized data of longest glacier centerline provided in this dataset can also be used as the basic data for studies on glacier change, glacier ice storage assessment, glacier dynamic model construction, etc.
description: Glacier length is not only a basic property in glacier inventory, but also an important parameter reflecting glacier geometry and glacier change. Based on Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) images from 1998 to 2003, the outline of individual glacier was firstly interpreted by adopting the method in the Second China Glacier Inventory. Combined with ASTER GEDM data, the dataset of glacier length for 2000 in China (V1.0) was built by using the method of glacier centerline. This dataset reflects the basic length information of glaciers with a total number of 48126 in China around 2000. The vectorized data of longest glacier centerline provided in this dataset can also be used as the basic data for studies on glacier change, glacier ice storage assessment, glacier dynamic model construction, etc.