cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10317726
title: Castillo Banyeres De Mariola (Alicante)

description: Estructuras pertenecientes al recinto inferior del castillo de Banyeres de Mariola, fotaleza construida en los siglos XII-XIII.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10317727
title: Turchin

description: Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10317728
title: Turchin

description: Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10317729
title: Relief in the Tomb of Khunes, Qubbet el-Hawa

description: Reflief in the tomb of Khunes (QH34H) in Qubbet el-Hawa, Aswan, Egypt.  This relief is from the side of one of the square pillars in the pillared hall of the tomb.

Created from 25 photographs (Canon EOS Rebel T71) using Metashape 1.6.1.  Photographed in January 2020.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10317730
title: Relief in the Tomb of Khunes, Qubbet el-Hawa

description: Reflief in the tomb of Khunes (QH34H) in Qubbet el-Hawa, Aswan, Egypt.  This relief is from the side of one of the square pillars in the pillared hall of the tomb.

Created from 25 photographs (Canon EOS Rebel T71) using Metashape 1.6.1.  Photographed in January 2020.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10317733
title: AR002-028-06

description: Mantanzas Point collected in Delaware County, Indiana. 

Catalog # 12-Dl-5-4

Uploaded by: Reganne O'Connor

Thompson, Christine, Gwyn Harris, and Kevin C. Nolan, 2021. AR002-028-06, 3D Model .ply file. Recovered as part of Archaeological Report # 2, *Archaeological Investigations of the New Castle Sites, Hn-1, Hn-2, Hn-8, and Hn-12: A 1966 Summer Field School in Henry County, Indiana*, By B.K. Swartz, Jr.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.57760/sciencedb.o00114.00045
title: Pre-trained Language Model Based Tibetan Text Classification Method
title: 基于预训练语言模型的藏文文本分类

description: Tibetan text classification is a basic task in Tibetan natural language processing. Based on large-scale pre-trained language model and fine-tuning is the current mainstream text classification model. However, Tibetan lacks open source large-scale text and pre-trained language model. To solve the above problems, this paper crawls a large-scale Tibetan text dataset, and trains a Tibetan pre-trained language model (bert-base-tibetan) based on the corpus. On the basis of this model, the experimental results on a variety of text classification models based on neural network show that the pre-trained language model can significantly improve the performance of Tibetan text classification (F1 value is increased by 9.3% on average), which verifies the value of the Tibetan pre-trained language model in Tibetan text classification task and other related Tibetan natural language processing tasks.
description: Tibetan text classification is a basic task in Tibetan natural language processing. Based on large-scale pre-trained language model and fine-tuning is the current mainstream text classification model. However, Tibetan lacks open source large-scale text and pre-trained language model. To solve the above problems, this paper crawls a large-scale Tibetan text dataset, and trains a Tibetan pre-trained language model (bert-base-tibetan) based on the corpus. On the basis of this model, the experimental results on a variety of text classification models based on neural network show that the pre-trained language model can significantly improve the performance of Tibetan text classification (F1 value is increased by 9.3% on average), which verifies the value of the Tibetan pre-trained language model in Tibetan text classification task and other related Tibetan natural language processing tasks.
DOI: 10.57760/sciencedb.o00015.00007
title: Complete genome sequence of piezotolerant Pseudomonas Kunmingensis 7850S isolated from deep-sea sediment of the Mariana Trench
title: 马里亚纳海沟深海沉积物中耐压性昆明假单胞菌7850S(Pseudomonas Kunmingensis 7850S)的全基因组序列分析

description: The whole genome of Pseudomonas Kunming 7850s, pressure test data and growth adaptation data at different temperatures.
description: The whole genome of Pseudomonas Kunming 7850s, pressure test data and growth adaptation data at different temperatures.
DOI: 10.57760/sciencedb.o00114.00050
title: An End-to-End Multi-dialect Tibetan Speech Synthesis Study
title: 端到端多方言藏语语音合成研究

description: "The end-to-end speech synthesis model, tacotron2, based on neural network theory, drives synthesis
description: "The end-to-end speech synthesis model, tacotron2, based on neural network theory, drives synthesis
DOI: 10.57760/sciencedb.o00008.00041
title: Autumn Phenological Grid Dataset of Typical Deciduous Broad-leaved Woody Plants in China from 1963 to 2015
title: Autumn Phenological Grid Dataset of Typical Deciduous Broad-leaved Woody Plants in China from 1963 to 2015

description: Plant autumn phenology is affected by many environmental factors, such as temperature, water, and daylight. Because of the sensitivity to environmental factors, changes in the timing and distribution of autumn phenology is more complicated and may be important indicators of global changes. In this paper, the leaf coloring date (LCD) of 21 woody plants (Fraxinus chinensis Roxb. (Oleaceae), Salix babylonica L. (Salicaceae), Robinia pseudoacacia L. (Leguminosae), Ulmus pumila L. (Ulmaceae Mirb.), Armeniaca vulgaris Lam. (Rosaceae), etc.) from 1963–2015 was obtained from the Chinese Phenological Observation Network and used to establish and compare three LCD models (multiple regression, temperature-photoperiod, and spring-influenced autumn). The 0.5° × 0.5° LCD grid data of the five species from 1963 to 2015 were developed by simulation and scale expansion. The cross-validation results showed that the average simulation error of the LCD was approximately 10–18 days. The autumn phenological grid data set of China is the basic data representing the spatial–temporal pattern and changes in autumn phenology in China over the last 50 years. The data set includes three parts: header file, phenophase, and spatial distribution, which consist of three data folders and 2249 data files. The data is stored in TXT, GEOTIFF, and ARCGIS ASCII formats. The data volume is 114 MB before compression (19 MB after compression).
description: Plant autumn phenology is affected by many environmental factors, such as temperature, water, and daylight. Because of the sensitivity to environmental factors, changes in the timing and distribution of autumn phenology is more complicated and may be important indicators of global changes. In this paper, the leaf coloring date (LCD) of 21 woody plants (Fraxinus chinensis Roxb. (Oleaceae), Salix babylonica L. (Salicaceae), Robinia pseudoacacia L. (Leguminosae), Ulmus pumila L. (Ulmaceae Mirb.), Armeniaca vulgaris Lam. (Rosaceae), etc.) from 1963–2015 was obtained from the Chinese Phenological Observation Network and used to establish and compare three LCD models (multiple regression, temperature-photoperiod, and spring-influenced autumn). The 0.5° × 0.5° LCD grid data of the five species from 1963 to 2015 were developed by simulation and scale expansion. The cross-validation results showed that the average simulation error of the LCD was approximately 10–18 days. The autumn phenological grid data set of China is the basic data representing the spatial–temporal pattern and changes in autumn phenology in China over the last 50 years. The data set includes three parts: header file, phenophase, and spatial distribution, which consist of three data folders and 2249 data files. The data is stored in TXT, GEOTIFF, and ARCGIS ASCII formats. The data volume is 114 MB before compression (19 MB after compression).
DOI: 10.57760/sciencedb.o00061.00004
title: Genetic Signatures from Adaptation of Bacteria to Lytic Phage Identify Potential Agents to Aid Phage Killing of Multidrug Resistant Acinetobacter baumannii
title: Genetic Signatures from Adaptation of Bacteria to Lytic Phage Identify Potential Agents to Aid Phage Killing of Multidrug Resistant Acinetobacter baumannii

description: In 2021, the study of Genetic Signatures from Adaptation of Bacteria to Lytic Phage Identify Potential Agents to Aid Phage Killing of Multidrug Resistant Acinetobacter baumannii was performed in Wuhan Institute of Virology, Chinese Academy of Sciences.Here, we experimentally adapted A. baumannii WHG40004 to its lytic phage P21 to generate phage-resistant bacterial mutant, named Ev5-WHG. By analyzing the genome of Ev5-WHG, we observed genetic alterations in multiple important pathways.Then the sequencing data was uploaded to the National Genomics Data Center (NGDC) with the Bioproject ID PRJCA007903.The image data corresponding to the research involved in the study were also uploaded to the ScienceDB database.
description: In 2021, the study of Genetic Signatures from Adaptation of Bacteria to Lytic Phage Identify Potential Agents to Aid Phage Killing of Multidrug Resistant Acinetobacter baumannii was performed in Wuhan Institute of Virology, Chinese Academy of Sciences.Here, we experimentally adapted A. baumannii WHG40004 to its lytic phage P21 to generate phage-resistant bacterial mutant, named Ev5-WHG. By analyzing the genome of Ev5-WHG, we observed genetic alterations in multiple important pathways.Then the sequencing data was uploaded to the National Genomics Data Center (NGDC) with the Bioproject ID PRJCA007903.The image data corresponding to the research involved in the study were also uploaded to the ScienceDB database.
DOI: 10.57760/sciencedb.o00015.00002
title: Plastid phylogenomics provide new insights into the divergence times and biogeographic history of tribe Cinnamomeae (Lauraceae)
title: Plastid phylogenomics provide new insights into the divergence times and biogeographic history of tribe Cinnamomeae (Lauraceae)

description: Fifteen plastomes of tribe Cinnamomeae (Lauraceae) were sequenced in the Illumina platform using Genome Skimming technology. They all had a classical quadripartite structure and were conserved in gene content and order. They all contained 79 unique protein-coding genes.
description: Fifteen plastomes of tribe Cinnamomeae (Lauraceae) were sequenced in the Illumina platform using Genome Skimming technology. They all had a classical quadripartite structure and were conserved in gene content and order. They all contained 79 unique protein-coding genes.
DOI: 10.57760/sciencedb.o00113.00004
title: Bacteria and micro-eukaryotic in phenolic foam associated microplastics
title: Bacteria and micro-eukaryotic in phenolic foam associated microplastics

description: In this study, we cultured cherry radish and lettuce, and added different concentration phenolic foam associated-microplastics (PF-MPs) to soils on October and December 2020, soils come from Houxi Town, Xiamen, Fujian province of China.Bacterial 16S rRNA genes, micro-eukaryotic 18S rRNA were amplified using the primer set of 338F/806R, 528F/706R, respectively. The thermal profiles for target genes were performed as our previous study 35. The PCR amplicons were sequenced on an Illumina MiSeq PE250 platform (Magigene Biotechnology Co.，LTD. Guangzhou，China) after purified and concentrated.
description: In this study, we cultured cherry radish and lettuce, and added different concentration phenolic foam associated-microplastics (PF-MPs) to soils on October and December 2020, soils come from Houxi Town, Xiamen, Fujian province of China.Bacterial 16S rRNA genes, micro-eukaryotic 18S rRNA were amplified using the primer set of 338F/806R, 528F/706R, respectively. The thermal profiles for target genes were performed as our previous study 35. The PCR amplicons were sequenced on an Illumina MiSeq PE250 platform (Magigene Biotechnology Co.，LTD. Guangzhou，China) after purified and concentrated.
DOI: 10.57760/sciencedb.o00114.00033
title: Research on Korean Named Entity Recognition Based on Syllable-Morpheme Fusion
title: 基于音节-形态素融合的朝鲜语命名实体识别研究

description: The named entity recognition task is one of the most important fundamental tasks in the process of Korean natural language processing research. In order to deal with the problems of unclear boundary delimitation and low accuracy rate of Korean named entity recognition, this paper proposes a Korean syllable word fusion named entity recognition model based on Transformer's. Firstly, word embedding is performed for syllables and morphemes separately by the BERT pre-training model. And secondly, two different vector fusion methods are used to fuse syllable vectors and word vectors, i.e., a simple vector splicing method and a heuristic fusion method that takes into account the connection and difference between the two vectors, and the fused vectors are used as the input of the SWT-NER model. As well the F1 value in the Korean named entity recognition dataset published by KLUE reached 88.03%, which is about 3 to 4 percentage points higher than the single granularity experiment.
description: The named entity recognition task is one of the most important fundamental tasks in the process of Korean natural language processing research. In order to deal with the problems of unclear boundary delimitation and low accuracy rate of Korean named entity recognition, this paper proposes a Korean syllable word fusion named entity recognition model based on Transformer's. Firstly, word embedding is performed for syllables and morphemes separately by the BERT pre-training model. And secondly, two different vector fusion methods are used to fuse syllable vectors and word vectors, i.e., a simple vector splicing method and a heuristic fusion method that takes into account the connection and difference between the two vectors, and the fused vectors are used as the input of the SWT-NER model. As well the F1 value in the Korean named entity recognition dataset published by KLUE reached 88.03%, which is about 3 to 4 percentage points higher than the single granularity experiment.
DOI: 10.57760/sciencedb.p00001.00002
title: Rice false smut dataset
title: 水稻白叶枯病图库数据集

description: Rice false smut, also known as pseudosmut, green smut, millet smut, powdery mildew. Rice false smut occurs only in panicles and damages some grains. The symptoms of Rice False Smut were that the mycelium was gradually enlarged, the inner and outer glumes were split, and the pale yellow mass, namely the sporangia, was wrapped on both sides of the glume. It was black-green. At first, it was wrapped with a film, then broken, and scattered dark-green powder, i.e. chlamydospore of the pathogen, some of which had black flat sclerotia on both sides, was easy to fall off under wind and rain. Rice growing areas occur frequently in Hebei, Yangtze River Basin and southern provinces. [Control methods]. [Selection of disease-resistant varieties] Different varieties of rice have different resistance to rice false smut, and the varieties with strong resistance are selected according to the local conditions. [Seed disinfection] Because rice false smut can be transmitted through seeds, farmers'friends should choose rice seeds that are not easily infected, soaking seeds with 500 times strong chlorine semen for 10-12 hours. [Pharmaceutical control] Drug use should be mastered at the end of booting stage. On the 5-7 day of the break, 20% +40% three zolone emulsifiable concentrate (100 ml) or 25% Triadimefon (three zolone) wettable powder 100 grams of carbendazim suspension 100 ml or 50% carbendazim wettable powder 100 grams diluted 50% grams spray. Spray once again when the broken heading is 1/3-1/2.
description: Rice false smut, also known as pseudosmut, green smut, millet smut, powdery mildew. Rice false smut occurs only in panicles and damages some grains. The symptoms of Rice False Smut were that the mycelium was gradually enlarged, the inner and outer glumes were split, and the pale yellow mass, namely the sporangia, was wrapped on both sides of the glume. It was black-green. At first, it was wrapped with a film, then broken, and scattered dark-green powder, i.e. chlamydospore of the pathogen, some of which had black flat sclerotia on both sides, was easy to fall off under wind and rain. Rice growing areas occur frequently in Hebei, Yangtze River Basin and southern provinces. [Control methods]. [Selection of disease-resistant varieties] Different varieties of rice have different resistance to rice false smut, and the varieties with strong resistance are selected according to the local conditions. [Seed disinfection] Because rice false smut can be transmitted through seeds, farmers'friends should choose rice seeds that are not easily infected, soaking seeds with 500 times strong chlorine semen for 10-12 hours. [Pharmaceutical control] Drug use should be mastered at the end of booting stage. On the 5-7 day of the break, 20% +40% three zolone emulsifiable concentrate (100 ml) or 25% Triadimefon (three zolone) wettable powder 100 grams of carbendazim suspension 100 ml or 50% carbendazim wettable powder 100 grams diluted 50% grams spray. Spray once again when the broken heading is 1/3-1/2.
DOI: 10.57760/sciencedb.o00049.00006
title: Raw Data for the article "Modeling Multiple Endocrine Neoplasia Type 1 with Patient-Origin iPSCs Reveals Inhibition of GLP-1 signaling ameliorated disease phenotypes"
title: Raw Data for the article "Modeling Multiple Endocrine Neoplasia Type 1 with Patient-Origin iPSCs Reveals Inhibition of GLP-1 signaling ameliorated disease phenotypes"

description: This zip package includes all the raw data involving in the article "Modeling Multiple Endocrine Neoplasia Type 1 with Patient-Origin iPSCs Reveals Inhibition of GLP-1 signaling ameliorated disease phenotypes"
description: This zip package includes all the raw data involving in the article "Modeling Multiple Endocrine Neoplasia Type 1 with Patient-Origin iPSCs Reveals Inhibition of GLP-1 signaling ameliorated disease phenotypes"
DOI: 10.5281/zenodo.6466315
title: Dataset: Relationship extraction for knowledge graph creation from biomedical literature (Gene-Disease relationships)

description: This is the dataset used for classifying Gene-Disease relationship types from sentences. The dataset consists of 3 files: manually_annotated_set.xlsx - set of 2000 manualy annotated sentences with entities Unbalanced_dataset.xlsx - set of 12000 sentences, out of which 2000 are from the first set, manually annotated, and the rest have been added using rule based method by adding sentences where extraction had confidence 1. Balanced_dataset_SUB_PRED.xlsx - balanced dataset generated by taking 2000 manually annotated sentences, but then adding sentences from the rule-based method with confidence 1 in such a way that each relationship class had at least 1400 sentences (for biomarkers, we could obtain 1243 sentences with confidence 1 from a processed portion of the data we had at the time of building the dataset).
description: {"references": ["Milosevic, Nikola, and Wolfgang Thielemann. \"Relationship extraction for knowledge graph creation from biomedical literature.\" arXiv preprint arXiv:2201.01647 (2022).", "Milosevic, Nikola, and Wolfgang Thielemann. \"Relationship extraction for knowledge graph creation from biomedical literature.\" Journal of Web Semantics (2022)."]}
DOI: 10.57760/sciencedb.o00113.00003
title: Bacteria and fungi in urban dusts
title: Bacteria and fungi in urban dusts

description: A total of 118 urban dust samples were collected on the outdoor impervious surfaces of fifty-nine kindergartens using a handheld vacuum cleaner (Fasola, Chian) on January and June 2020. These kindergartens are located in six districts, including Xiang’an, Tong’an, Haicang, Jimei, Siming, and Huli, Xiamen (24o23’ N～24o54’ N and 117o52’ E～118o26’ E), Fujian province of China.Bacterial 16S rRNA genes and fugal ITS2 regions were amplified using the primer set of 515F/907R and 5.8S-F/ITS4-R, respectively. The thermal profiles for target genes were performed as our previous study 35. The PCR amplicons were sequenced on an Illumina Hiseq PE2000 platform in Novogene (Beijing, China) after purified and concentrated.
description: A total of 118 urban dust samples were collected on the outdoor impervious surfaces of fifty-nine kindergartens using a handheld vacuum cleaner (Fasola, Chian) on January and June 2020. These kindergartens are located in six districts, including Xiang’an, Tong’an, Haicang, Jimei, Siming, and Huli, Xiamen (24o23’ N～24o54’ N and 117o52’ E～118o26’ E), Fujian province of China.Bacterial 16S rRNA genes and fugal ITS2 regions were amplified using the primer set of 515F/907R and 5.8S-F/ITS4-R, respectively. The thermal profiles for target genes were performed as our previous study 35. The PCR amplicons were sequenced on an Illumina Hiseq PE2000 platform in Novogene (Beijing, China) after purified and concentrated.
DOI: 10.57760/sciencedb.o00114.00027
title: Emotional Analysis of Uzbek Short Text Based on Emotional Dictionary and Annotated Corpus
title: 基于情感词典和标注语料库的乌兹别克语短文本情感分析

description: Based on the Uzbek language of the cross-border national language in Central Asia, the Emotional Dictionary (including 6451 words) including adjectives, nouns, verbs, degrees and negative adverbs, negative words, transitions and progressive conjunctions, and complex phrases was built. The emotional labeling system was designed. The corpus containing 6000 online reviews was manually labeled with information such as sentiment categories, expressions and sentiment orientations. For Uzbek common sentences, adverb modifiers, non-verb negative sentences, double negative sentences, and transition sentences The sentiment analysis algorithm designed by the progressive sentence, using the emotional corpus and software application online review as a test set to carry out a short text sentiment analysis experiment. The results prove the effectiveness of the sentiment dictionary, the emotional corpus and the sentiment analysis algorithm, but also expose the weaknesses and inadequacies of the emotional dictionary in terms of data size, coverage, fineness and text preprocessing.
description: Based on the Uzbek language of the cross-border national language in Central Asia, the Emotional Dictionary (including 6451 words) including adjectives, nouns, verbs, degrees and negative adverbs, negative words, transitions and progressive conjunctions, and complex phrases was built. The emotional labeling system was designed. The corpus containing 6000 online reviews was manually labeled with information such as sentiment categories, expressions and sentiment orientations. For Uzbek common sentences, adverb modifiers, non-verb negative sentences, double negative sentences, and transition sentences The sentiment analysis algorithm designed by the progressive sentence, using the emotional corpus and software application online review as a test set to carry out a short text sentiment analysis experiment. The results prove the effectiveness of the sentiment dictionary, the emotional corpus and the sentiment analysis algorithm, but also expose the weaknesses and inadequacies of the emotional dictionary in terms of data size, coverage, fineness and text preprocessing.