cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.o00119.00017
title: A dataset of effects of different sowing dates on maize growth and development in the northern part of North China from 2018 to 2021
title: 2018–2021年华北北部不同播期对玉米生长发育的影响数据集

description: This data set is the experimental data set of maize agroecosystem adaptation to climate change from 2018 to 2021 in Gucheng Station. It mainly contains the interannual and annual variation data of growth period, biomass, leaf area index, photosynthetic physiology, spectral characteristics, soil moisture, grain filling rate and yield of the same variety of maize at different sowing dates. This dataset has great significance for the revision of agrometeorological business service index, the improvement and regional application of agrometeorological simulation model, and the development of agrometeorological applicable technology for the study of maize ecosystem adaptation to climate change.
description: This data set is the experimental data set of maize agroecosystem adaptation to climate change from 2018 to 2021 in Gucheng Station. It mainly contains the interannual and annual variation data of growth period, biomass, leaf area index, photosynthetic physiology, spectral characteristics, soil moisture, grain filling rate and yield of the same variety of maize at different sowing dates. This dataset has great significance for the revision of agrometeorological business service index, the improvement and regional application of agrometeorological simulation model, and the development of agrometeorological applicable technology for the study of maize ecosystem adaptation to climate change.
DOI: 10.57760/sciencedb.02847
title: Oxamate sensitizing melanoma cells to non-thermal plasma
title: 草氨酸钠对人黑色素瘤细胞的非热等离子体增敏作用研究

description: Relevant data set of the published paper "Oxamate sensitizing melanoma cells to non-thermal plasma" 
description: Relevant data set of the published paper "Oxamate sensitizing melanoma cells to non-thermal plasma"
DOI: 10.15468/dl.mj5bqq
title: Occurrence Download

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

 The dataset includes 4127 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001376-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.06468
title: Data for profiling functional trait diversity with DNA barcodes: A comparison of approaches. Running title: Profiling Traits from DNA barcodes
title: Data for profiling functional trait diversity with DNA barcodes: A comparison of approaches. Running title: Profiling Traits from DNA barcodes

description: Bees are vital pollinators in ecosystems, which were easily disturbed by artificial activities. Taxonomic, functional and phylogenetic diversity were widely used to explore the ecosystem service of bees and their community dynamics. However, sampling, molecular and trait information are seldom provided at the same time in the previous studies. We built a novel and raw dataset with sampling records, traits data and barcodes for wild bees at the specimen level. A total of 1,198 bee specimens with DNA barcodes were generated from Wuhu (Anhui), Shangrao (Jiangxi), Xishuangbanna (Yunnan) and Beijing China. Up to 6,374 measurements were made of seven morphometric traits; inter-tegular distance (ITD), head width (HW), right-fore wing length (rfWL), hair length (HL), body length (BL)， hind-leg length (HLL) and tibia length (TL) in this dataset. The barcodes of bees with traits are conductive to infer missing trait data, furthermore, make contributions to understanding of the evolution history and help to guide conservations of bees more comprehensively. In addition, we collated trait data from public papers and a total of 6,734 records about life-history trait were involved, inclduding lecty, sociality, parasitism and nest location of bees.
description: Bees are vital pollinators in ecosystems, which were easily disturbed by artificial activities. Taxonomic, functional and phylogenetic diversity were widely used to explore the ecosystem service of bees and their community dynamics. However, sampling, molecular and trait information are seldom provided at the same time in the previous studies. We built a novel and raw dataset with sampling records, traits data and barcodes for wild bees at the specimen level. A total of 1,198 bee specimens with DNA barcodes were generated from Wuhu (Anhui), Shangrao (Jiangxi), Xishuangbanna (Yunnan) and Beijing China. Up to 6,374 measurements were made of seven morphometric traits; inter-tegular distance (ITD), head width (HW), right-fore wing length (rfWL), hair length (HL), body length (BL)， hind-leg length (HLL) and tibia length (TL) in this dataset. The barcodes of bees with traits are conductive to infer missing trait data, furthermore, make contributions to understanding of the evolution history and help to guide conservations of bees more comprehensively. In addition, we collated trait data from public papers and a total of 6,734 records about life-history trait were involved, inclduding lecty, sociality, parasitism and nest location of bees.
DOI: 10.15468/dl.ezcd3w
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Plebeia franki (Friese, 1900), Plebeia peruvicola Moure, 1995)"
 ]
}

 The dataset includes 72 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001379-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15292950
title: Wieś w Generalnym Gubernatorstwie - 60.1222.115

description: Protokoły zebrań Rady Gromadzkiej gromady Binarowa od 17 grudnia 1939 do 8 marca 1942 roku

Źródło: Archiwum Państwowe w Rzeszowie Oddział w Sanoku, Akta gminy Biecz powiat Gorlice, sygnatura 113.

Dane gromadzone w ramach projektu "Wieś w Generalnym Gubernatorstwie w dokumentach administracji gminnej (1939-1945) - opracowanie materiałów źródłowych" (NPRH/F/SP/0037/2024/13).
DOI: 10.5281/zenodo.15292951
title: Wieś w Generalnym Gubernatorstwie - 60.1222.115

description: Protokoły zebrań Rady Gromadzkiej gromady Binarowa od 17 grudnia 1939 do 8 marca 1942 roku

Źródło: Archiwum Państwowe w Rzeszowie Oddział w Sanoku, Akta gminy Biecz powiat Gorlice, sygnatura 113.

Dane gromadzone w ramach projektu "Wieś w Generalnym Gubernatorstwie w dokumentach administracji gminnej (1939-1945) - opracowanie materiałów źródłowych" (NPRH/F/SP/0037/2024/13).
DOI: 10.57760/sciencedb.j00001.00759
title: A dataset of 1km Grid Drainage Density in China(2019）
title: 2019年中国1km格网河网密度数据集

description: Drainage density is the result of the comprehensive action of watershed landform, climate, soil and vegetation. As a comprehensive characterization index, the measurement and monitoring of drainage density is of great significance to the environmental protection and water resources allocation in regional watersheds.. This paper uses the river water surface vector data of the third National Land Survey, extracts the river center line, and uses the kilometer grid network production software to obtain the China 1km grid drainage density data set in 2019. This data set can be used for the study of national hydrology and geomorphology analysis, climate change impact on topography, soil erosion estimation, and water resource endowment evaluation.
description: Drainage density is the result of the comprehensive action of watershed landform, climate, soil and vegetation. As a comprehensive characterization index, the measurement and monitoring of drainage density is of great significance to the environmental protection and water resources allocation in regional watersheds.. This paper uses the river water surface vector data of the third National Land Survey, extracts the river center line, and uses the kilometer grid network production software to obtain the China 1km grid drainage density data set in 2019. This data set can be used for the study of national hydrology and geomorphology analysis, climate change impact on topography, soil erosion estimation, and water resource endowment evaluation.
DOI: 10.57760/sciencedb.04940
title: Carassius gibelio RUNX family transcription factor 2b (runx2b) mRNA
title: Carassius gibelio RUNX family transcription factor 2b (runx2b) mRNA

description: According to genome sequences of Carassius gibelio (GCA_019843895.2) (Wang et al., 2022), Six RUNX family transcription factor 2b (runx2b) transcripts were cloned from Carassius gibelio fries at 1 dph (days post hatching) using RACE-PCR and clustered into two homeologs (runx2b-A and runx2b-B) with 91.8±0.04% of average identity; the major differences between the two homeologs exists in the 3′ UTR (untranslated region). Each homeolog has three almost identical alleles (about 99.6% identities) .
description: According to genome sequences of Carassius gibelio (GCA_019843895.2) (Wang et al., 2022), Six RUNX family transcription factor 2b (runx2b) transcripts were cloned from Carassius gibelio fries at 1 dph (days post hatching) using RACE-PCR and clustered into two homeologs (runx2b-A and runx2b-B) with 91.8±0.04% of average identity; the major differences between the two homeologs exists in the 3′ UTR (untranslated region). Each homeolog has three almost identical alleles (about 99.6% identities) .
DOI: 10.57760/sciencedb.03572
title: A dataset of 1km Grid Facility agricultural land density in China(2020）
title: 2020年中国1km格网设施农用地密度数据集

description: Facility agricultural land is a component of other land, which is widely distributed throughout the country, and is of great significance for large-scale breeding production and rural revitalization. The spatial density distribution of facility agricultural land reflects the level of regional large-scale breeding and agricultural technology development, which can provide a reference basis for regional agricultural resource development and rural non-point source pollution prevention, and has reference value for strengthening the supervision of rural land resource utilization. This paper uses the 30 meter land use grid data of the 2020 National Land Change Survey, uses the kilometer grid production software, and calculates the grid space to obtain the data set of China's 1km grid facility agricultural land density in 2020. This data set can be used for research on rural revitalization planning, rural industry planning, agricultural non-point source pollution assessment, remote sensing sample library, etc. 
description: Facility agricultural land is a component of other land, which is widely distributed throughout the country, and is of great significance for large-scale breeding production and rural revitalization. The spatial density distribution of facility agricultural land reflects the level of regional large-scale breeding and agricultural technology development, which can provide a reference basis for regional agricultural resource development and rural non-point source pollution prevention, and has reference value for strengthening the supervision of rural land resource utilization. This paper uses the 30 meter land use grid data of the 2020 National Land Change Survey, uses the kilometer grid production software, and calculates the grid space to obtain the data set of China's 1km grid facility agricultural land density in 2020. This data set can be used for research on rural revitalization planning, rural industry planning, agricultural non-point source pollution assessment, remote sensing sample library, etc.
DOI: 10.57760/sciencedb.03744
title: A dataset of 1km Grid parks and green spaces density in China(2020）
title: 2020年中国1km格网公园与绿地密度数据集

description: Parks and green spaces are high-quality sightseeing and leisure green spaces in towns and villages. They have humanistic landscape value and ecological product value, and can improve the quality of life of people in towns and villages. Park and green space is an important indicator reflecting the overall environmental level of the region and the quality of life of residents. The spatial distribution of parks and green spaces reflects the landscape resources and ecological resources endowment of residential areas, which can provide reference for the formulation of town and village development planning, and is of great significance for optimizing the layout of residential land. This paper uses the 30 meter land use grid data of the 2020 National Land Change Survey, uses the kilometer grid production software, and calculates the grid space to obtain the data set of China's 1km grid park and green space density in 2020. This data set can be used for research on urban and village internal planning preparation, planning implementation evaluation, regional residents' quality of life evaluation, ecological product value estimation, carbon sink calculation, tourism resource development, remote sensing sample database, etc. 
description: Parks and green spaces are high-quality sightseeing and leisure green spaces in towns and villages. They have humanistic landscape value and ecological product value, and can improve the quality of life of people in towns and villages. Park and green space is an important indicator reflecting the overall environmental level of the region and the quality of life of residents. The spatial distribution of parks and green spaces reflects the landscape resources and ecological resources endowment of residential areas, which can provide reference for the formulation of town and village development planning, and is of great significance for optimizing the layout of residential land. This paper uses the 30 meter land use grid data of the 2020 National Land Change Survey, uses the kilometer grid production software, and calculates the grid space to obtain the data set of China's 1km grid park and green space density in 2020. This data set can be used for research on urban and village internal planning preparation, planning implementation evaluation, regional residents' quality of life evaluation, ecological product value estimation, carbon sink calculation, tourism resource development, remote sensing sample database, etc.
DOI: 10.57760/sciencedb.04035
title: A dataset of 1km Grid Residential land density in China(2020）
title: 2020年中国1km格网住宅用地密度数据集

description: Residential land, including urban residential land and rural residential land, is the basic living space for urban and rural residents. The location and quantity of residential land directly affect the quality of people's life. Residential land density is an important indicator of regional human aggregation. The density of residential land reflects the residential suitability and the characteristics of spatial accumulation, which can provide a reference for the formulation of urban and rural development planning, and is of great significance for optimizing the layout of residential land and improving the efficiency of land use. This paper uses the 30 meter land use grid data of the 2020 National Land Change Survey, uses the kilometer grid production software, and calculates the grid space to obtain the data set of China's 1km grid residential land density in 2020. This data set can be used for research on urban village internal planning preparation, planning implementation evaluation, regional residents' quality of life evaluation, residential area demand analysis, carbon source measurement, remote sensing sample database, etc. 
description: Residential land, including urban residential land and rural residential land, is the basic living space for urban and rural residents. The location and quantity of residential land directly affect the quality of people's life. Residential land density is an important indicator of regional human aggregation. The density of residential land reflects the residential suitability and the characteristics of spatial accumulation, which can provide a reference for the formulation of urban and rural development planning, and is of great significance for optimizing the layout of residential land and improving the efficiency of land use. This paper uses the 30 meter land use grid data of the 2020 National Land Change Survey, uses the kilometer grid production software, and calculates the grid space to obtain the data set of China's 1km grid residential land density in 2020. This data set can be used for research on urban village internal planning preparation, planning implementation evaluation, regional residents' quality of life evaluation, residential area demand analysis, carbon source measurement, remote sensing sample database, etc.
DOI: 10.57760/sciencedb.03366
title: A dataset of 1km Grid tea garden density in China(2020）
title: 2020年中国1km格网茶园密度数据集

description: Tea garden is one of the main types of plantation land in more than 10 provinces in central and southern China. It has important economic and ecological values, and is of great significance for rural revitalization and farmers' income increase. The spatial distribution of tea gardens reflects the endowment of regional agricultural resources and ecological resources, which can provide reference for the development of regional agricultural resources and the formulation of rural characteristic industry planning, and is of great significance for the sustainable development of agriculture and rural areas. This paper uses the 30 meter land use grid data of the 2020 National Land Change Survey, uses the kilometer grid production software, and calculates the grid space to obtain the data set of China's 1km grid tea garden density in 2020. This data set can be used in the research of land spatial planning, rural revitalization planning, agricultural ecological value estimation, rural characteristic tourism resources development, remote sensing sample database, etc. 
description: Tea garden is one of the main types of plantation land in more than 10 provinces in central and southern China. It has important economic and ecological values, and is of great significance for rural revitalization and farmers' income increase. The spatial distribution of tea gardens reflects the endowment of regional agricultural resources and ecological resources, which can provide reference for the development of regional agricultural resources and the formulation of rural characteristic industry planning, and is of great significance for the sustainable development of agriculture and rural areas. This paper uses the 30 meter land use grid data of the 2020 National Land Change Survey, uses the kilometer grid production software, and calculates the grid space to obtain the data set of China's 1km grid tea garden density in 2020. This data set can be used in the research of land spatial planning, rural revitalization planning, agricultural ecological value estimation, rural characteristic tourism resources development, remote sensing sample database, etc.
DOI: 10.57760/sciencedb.03409
title: A dataset of 1km Grid Rubber garden density in China(2020）
title: 2020年中国1km格网橡胶园密度数据集

description: Rubber plantation is one of the types of plantations in southern China, which has important economic value and is of great significance for rural revitalization and farmers' income increase. The spatial distribution of rubber plantations reflects the endowment of agricultural resources, which can provide a reference for the formulation of regional agricultural resources development planning, and is of great significance to the sustainable development of rural areas. This paper uses the 30 meter land use grid data of the 2020 National Land Change Survey, uses the kilometer grid production software, and calculates the grid space to obtain the density data set of China's 1km grid rubber parks in 2020. This data set can be used for research on land spatial planning, carbon sink estimation, rural revitalization planning, and development of agricultural products with rural characteristics. 
description: Rubber plantation is one of the types of plantations in southern China, which has important economic value and is of great significance for rural revitalization and farmers' income increase. The spatial distribution of rubber plantations reflects the endowment of agricultural resources, which can provide a reference for the formulation of regional agricultural resources development planning, and is of great significance to the sustainable development of rural areas. This paper uses the 30 meter land use grid data of the 2020 National Land Change Survey, uses the kilometer grid production software, and calculates the grid space to obtain the density data set of China's 1km grid rubber parks in 2020. This data set can be used for research on land spatial planning, carbon sink estimation, rural revitalization planning, and development of agricultural products with rural characteristics.
DOI: 10.57760/sciencedb.05892
title: A dataset of 1km Grid shrub land density in China(2020）
title: 2020年中国1km格网灌木林地密度数据集

description: Shrub land is the woodland with more than 40% shrub cover, including artificial shrub land and natural shrub land. Shrub land plays an important role in maintaining the country's ecological security. From the perspective of forest water conservation, shrub land has a high maximum and effective amount of dead litter, which plays an important role in water conservation. As an index of evaluating regional soil and water conservation capacity, its dynamic monitoring is of great significance to coordinate forestry land use and improve the soil and water conservation capacity according to local conditions. This paper uses the 30-m land use grid data in the 2020 National Land Change Survey and the kilometer grid production software, which is calculated in the 2020 grid space. This data set can be used for territorial spatial planning, forestry resource planning, ecological asset value estimation, forest carbon sink calculation, afforestation effect evaluation, and remote sensing sample database construction, etc.
description: Shrub land is the woodland with more than 40% shrub cover, including artificial shrub land and natural shrub land. Shrub land plays an important role in maintaining the country's ecological security. From the perspective of forest water conservation, shrub land has a high maximum and effective amount of dead litter, which plays an important role in water conservation. As an index of evaluating regional soil and water conservation capacity, its dynamic monitoring is of great significance to coordinate forestry land use and improve the soil and water conservation capacity according to local conditions. This paper uses the 30-m land use grid data in the 2020 National Land Change Survey and the kilometer grid production software, which is calculated in the 2020 grid space. This data set can be used for territorial spatial planning, forestry resource planning, ecological asset value estimation, forest carbon sink calculation, afforestation effect evaluation, and remote sensing sample database construction, etc.