cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8352846
title: sabasoori23/AGU-Publication-WRR: Supporting Information-Data Set 1

description: The Effect of the Bridge Piers and Abutment Interaction on Large Wood Accumulation Probability using a Physical Mode
DOI: 10.5281/zenodo.8352835
title: sabasoori23/AGU-Publication-WRR: Supporting Information-Data Set 1

description: The Effect of the Bridge Piers and Abutment Interaction on Large Wood Accumulation Probability using a Physical Mode
DOI: 10.34740/kaggle/dsv/6487758
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/6487767
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.7955484
title: Early–Middle Jurassic paleomagnetic results from the Tethyan Himalayas and their tectonics significance

description: Our original data stored in Zenodo could be accessed by everyone.
DOI: 10.5281/zenodo.7935337
title: Early–Middle Jurassic paleomagnetic results from the Tethyan Himalayas and their tectonics significance

description: Our original data stored in Zenodo could be accessed by everyone.
DOI: 10.57841/casdc.0002314
title: 硝基苯温和加氢合成苯胺论文数据集
DOI: 10.57841/casdc.0002315
title: 苯氨基甲酸酯微反应器高效缩合强化技术与装备数据集
DOI: 10.57841/casdc.0002316
title: 二苯基脲高效合成及醇解过程液氨无动力循环回收技术数据集
DOI: 10.57841/casdc.0002317
title: 深度催化热解与热解大型化技术数据集
DOI: 10.6084/m9.figshare.24152901
title: Microbial sequencing data

description: It contains raw data after microbial sequencing QC. Bacteria are mainly based on the 16S region, fungi are mainly based on the ITS region (internal transcribed inter region), and eukaryotes are mainly based on the 18S region for sequencing analysis.
DOI: 10.6084/m9.figshare.24152895
title: 无标题项目

description: 使用 citespace 6.1.r6 软件输出的数据列表
DOI: 10.6084/m9.figshare.24152895.v1
title: 无标题项目

description: 使用 citespace 6.1.r6 软件输出的数据列表
DOI: 10.57841/casdc.0002318
title: XDA21010102-002-”我国 2020~2060 年低碳能源路线图探索“建议报告数据集
DOI: 10.6084/m9.figshare.24152835
title: 克洛托数据

description: 使用 citespace 6.1.r6 软件处理的数据
DOI: 10.6084/m9.figshare.24152898
title: 克洛托输入

description: 从科学数据库下载的原始数据
DOI: 10.6084/m9.figshare.24152835.v1
title: 克洛托数据

description: 使用 citespace 6.1.r6 软件处理的数据
DOI: 10.6084/m9.figshare.24152898.v1
title: 克洛托输入

description: 从科学数据库下载的原始数据
DOI: 10.6084/m9.figshare.24151701
title: Materials for reproducing the infection endotype experiment

description: This contains data and script files necessary for reproducing infection endotype experiment.
DOI: 10.6084/m9.figshare.24151701.v1
title: Materials for reproducing the infection endotype experiment

description: This contains data and script files necessary for reproducing infection endotype experiment.
DOI: 10.57841/casdc.0002319
title: 煤经合成气直接制烯烃浆态床技术研发数据
DOI: 10.57841/casdc.0002320
title: 碱水电解催化剂电极面积放大及中试数据集
DOI: 10.57841/casdc.0002321
title: 电极的光电性能、表征、物相结构以及碱性电解水析氢反应活性分析数据集
DOI: 10.57841/casdc.0002322
title: 碱水电解电极小试性能数据集
DOI: 10.57841/casdc.0002323
title: 碱水电解电极催化性能数据集
DOI: 10.57841/casdc.0002324
title: 碱水电解工程示范数据集
DOI: 10.57841/casdc.0002325
title: 毛细管换热器试验测试2019年10月11日
DOI: 10.5281/zenodo.8352493
title: Magnetic susceptibility, geochemical data from SDL section

description: The Miocene Climatic Optimum (MCO) disrupted long-standing cooling trend with a significant temperature rise due to elevated greenhouse gases. However, the dynamics of hydrological circulation and orbital influences during this epoch in eastern Asia remain underexplored. Employing magneto-cyclostratigraphic chronology, we analyzed samples from a 120-meter-thick section in inland Asia. Our findings highlight the profound influence of two orbital cycles on the MCO: the dominant 405-kyr eccentricity and the subtler 173-kyr obliquity band. These patterns shifted the summer movement of the Intertropical Convergence Zone in East Asia, impacting northward moisture transport. Notably, we identified six drought events correlating with global phenomena like Antarctic cooling events and the Monterey Excursion. Enhanced by latitudinal insolation gradients, our results provide insights into climate variations on both regional and global scales, with implications for past and potential future scenarios.
DOI: 10.5281/zenodo.8352492
title: Magnetic susceptibility, geochemical data from SDL section

description: The Miocene Climatic Optimum (MCO) disrupted long-standing cooling trend with a significant temperature rise due to elevated greenhouse gases. However, the dynamics of hydrological circulation and orbital influences during this epoch in eastern Asia remain underexplored. Employing magneto-cyclostratigraphic chronology, we analyzed samples from a 120-meter-thick section in inland Asia. Our findings highlight the profound influence of two orbital cycles on the MCO: the dominant 405-kyr eccentricity and the subtler 173-kyr obliquity band. These patterns shifted the summer movement of the Intertropical Convergence Zone in East Asia, impacting northward moisture transport. Notably, we identified six drought events correlating with global phenomena like Antarctic cooling events and the Monterey Excursion. Enhanced by latitudinal insolation gradients, our results provide insights into climate variations on both regional and global scales, with implications for past and potential future scenarios.
DOI: 10.34740/kaggle/dsv/6488041
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.22233868.v3
title: Stimulating Innovative Learning with Tech: Artefacts Influence Students’ Actions

description: Dataset in CSV file -
DOI: 10.5281/zenodo.8352969
title: Dataset_for_GA_GWR

description: The dataset for GA-GWR
DOI: 10.5281/zenodo.8352968
title: Dataset_for_GA_GWR

description: The dataset for GA-GWR
DOI: 10.6084/m9.figshare.22233868.v4
title: Stimulating Innovative Learning with Tech: Artefacts Influence Students’ Actions

description: Dataset in CSV file -
DOI: 10.6084/m9.figshare.22233868
title: Stimulating Innovative Learning with Tech: Artefacts Influence Students’ Actions

description: Dataset in CSV file -
DOI: 10.6084/m9.figshare.22233868.v5
title: Stimulating Innovative Learning with Tech: Artefacts Influence Students’ Actions

description: Dataset in CSV file -
DOI: 10.5281/zenodo.8317538
title: Integrable Set Discovery and Multi-tuple Conflict Resolution

description: Integrable Set Discovery and Multi-tuple Conflict Resolution
DOI: 10.5281/zenodo.8317539
title: Integrable Set Discovery and Multi-tuple Conflict Resolution

description: Integrable Set Discovery and Multi-tuple Conflict Resolution
DOI: 10.5281/zenodo.8353112
title: Integrable Set Discovery and Multi-tuple Conflict Resolution

description: Integrable Set Discovery and Multi-tuple Conflict Resolution
DOI: 10.5281/zenodo.8353111
title: Analýza příčného řezu vzorky - screeningový úvodní plánovaný experiment - Albromet W130

description: Analýza příčného řezu vzorky byla provedena na předem vyrobených metalografických preparátech, které byly zkoumány užitím elektronové mikroskopie pomocí detektoru zpětně odražených elektronů (BSE) se zvětšením nejprve 1 000x a později 2 500x. Analyzovaným materiálem byl Albromet W130.
DOI: 10.5281/zenodo.8353110
title: Analýza příčného řezu vzorky - screeningový úvodní plánovaný experiment - Albromet W130

description: Analýza příčného řezu vzorky byla provedena na předem vyrobených metalografických preparátech, které byly zkoumány užitím elektronové mikroskopie pomocí detektoru zpětně odražených elektronů (BSE) se zvětšením nejprve 1 000x a později 2 500x. Analyzovaným materiálem byl Albromet W130.
DOI: 10.5281/zenodo.8304887
title: Identification of the regulatory circuit governing corneal epithelial fate determination and disease trackhub data

description: The transparent corneal epithelium in the eye is maintained through the homeostasis regulated by limbal stem cells, while the non-transparent epidermis relies on epidermal keratinocytes for renewal. Despite their cellular similarities, the precise cell fates of these two types of epithelial stem cells, which give rise to functionally distinct epithelia, remain unknown. We performed a multi-omics analysis of human limbal stem cells from the cornea and keratinocytes from the epidermis, and characterized their molecular signatures, highlighting their similarities and differences. Through gene regulatory network analyses, we identified shared and cell type-specific transcription factors that define specific cell fates, and established their regulatory hierarchy. Single-cell RNA-seq analyses of the cornea and the epidermis confirmed these shared and cell type-specific transcription factors. Notably, the shared and limbal stem cell-specific transcription factors can cooperatively target genes associated with corneal opacity. Importantly, we discovered that <em>FOSL2</em>, a direct PAX6 target gene, is a novel candidate associated with corneal opacity, and it regulates genes implicated in corneal diseases. By characterizing molecular signatures, our study unveils the regulatory circuitry governing the limbal stem cell fate and its association with corneal opacity. Files present are within the UCSC trackhub format containing bigwig and bignarrowpeak files associated with the publication: Multi-omics analyses identify transcription factor interplay in corneal epithelial fate determination and disease doi: https://doi.org/10.1101/2022.07.13.499857
DOI: 10.5281/zenodo.8304886
title: Identification of the regulatory circuit governing corneal epithelial fate determination and disease trackhub and additional data

description: The transparent corneal epithelium in the eye is maintained through the homeostasis regulated by limbal stem cells, while the non-transparent epidermis relies on epidermal keratinocytes for renewal. Despite their cellular similarities, the precise cell fates of these two types of epithelial stem cells, which give rise to functionally distinct epithelia, remain unknown. We performed a multi-omics analysis of human limbal stem cells from the cornea and keratinocytes from the epidermis, and characterized their molecular signatures, highlighting their similarities and differences. Through gene regulatory network analyses, we identified shared and cell type-specific transcription factors that define specific cell fates, and established their regulatory hierarchy. Single-cell RNA-seq analyses of the cornea and the epidermis confirmed these shared and cell type-specific transcription factors. Notably, the shared and limbal stem cell-specific transcription factors can cooperatively target genes associated with corneal opacity. Importantly, we discovered that <em>FOSL2</em>, a direct PAX6 target gene, is a novel candidate associated with corneal opacity, and it regulates genes implicated in corneal diseases. By characterizing molecular signatures, our study unveils the regulatory circuitry governing the limbal stem cell fate and its association with corneal opacity. Files present are within the UCSC trackhub format containing bigwig and bignarrowpeak files associated with the publication: Multi-omics analyses identify transcription factor interplay in corneal epithelial fate determination and disease doi: https://doi.org/10.1101/2022.07.13.499857
DOI: 10.5281/zenodo.8353116
title: Identification of the regulatory circuit governing corneal epithelial fate determination and disease trackhub and additional data

description: The transparent corneal epithelium in the eye is maintained through the homeostasis regulated by limbal stem cells, while the non-transparent epidermis relies on epidermal keratinocytes for renewal. Despite their cellular similarities, the precise cell fates of these two types of epithelial stem cells, which give rise to functionally distinct epithelia, remain unknown. We performed a multi-omics analysis of human limbal stem cells from the cornea and keratinocytes from the epidermis, and characterized their molecular signatures, highlighting their similarities and differences. Through gene regulatory network analyses, we identified shared and cell type-specific transcription factors that define specific cell fates, and established their regulatory hierarchy. Single-cell RNA-seq analyses of the cornea and the epidermis confirmed these shared and cell type-specific transcription factors. Notably, the shared and limbal stem cell-specific transcription factors can cooperatively target genes associated with corneal opacity. Importantly, we discovered that <em>FOSL2</em>, a direct PAX6 target gene, is a novel candidate associated with corneal opacity, and it regulates genes implicated in corneal diseases. By characterizing molecular signatures, our study unveils the regulatory circuitry governing the limbal stem cell fate and its association with corneal opacity. Files present are within the UCSC trackhub format containing bigwig and bignarrowpeak files associated with the publication: Multi-omics analyses identify transcription factor interplay in corneal epithelial fate determination and disease doi: https://doi.org/10.1101/2022.07.13.499857
DOI: 10.6084/m9.figshare.24153018
title: models(cnn&mobilenet)

description: cnn models and mobilenet models with different perfomance and defaults
DOI: 10.6084/m9.figshare.24153012.v1
title: 随机森林优化后模型调参.py

description: random forest classifiction and regression models
DOI: 10.5281/zenodo.7655193
title: RSW gun fault prediction benchmark data set (demo)

description: The resistance spot welding (RSW) welding gun fault prediction benchmark data set has 72 multivariate time series in the training set and 8 in the testing set. Each time series length 604800 sampled at 1 Hz with missing values and has 20 dimensions (c1-c19 and the error code). We retain the missing value and the outliers of the welding gun time series for the potential of imputation research in the future.<br> This data set supports an academic paper named 'benchmark study for welding gun fault prediction'. <strong>Feature name and explanation:</strong> c1 : Electrode cap offset; c2 : Electrode force; c3 : Electrode position; c4 : Force build-up; c5 : Balance pressure; c6 : Friction; c7 : Maximum aperture; c8 : Maximum electrode force; c9 : Mtart friction; c10 : US2; c11 : Welding point count; c12 : Position count; c13: Setpoints of counterbalance pressure; c14: Setpoints of electrode force; c15 : Setpoints of electrode position; c16: Setpoints of sheet thickness; c17 : Setpoints of velocity;<br> c18: Setpoints of force build-up;<br> c19 : Offset value in robot. <strong>Machine Learning Task:</strong><br> This dataset is suitable for a time series forecasting task, where machine learning models can be trained to predict future welding parameters based on the provided welding parameters time series in history. <strong>Code for quick start:</strong> https://zenodo.org/record/7655025 If you want to have an overview of the data before downloading all of it, you can download only the files with the word "Damo" in the file name. For any question, please contact 1910633@stu.neu.edu.cn
DOI: 10.5281/zenodo.7007395
title: RSW gun fault prediction benchmark data set (demo)

description: The resistance spot welding (RSW) welding gun fault prediction benchmark data set has 72 multivariate time series in the training set and 8 in the testing set. Each time series length 604800 sampled at 1 Hz with missing values and has 20 dimensions (c1-c19 and the error code). We retain the missing value and the outliers of the welding gun time series for the potential of imputation research in the future.<br> This data set supports an academic paper named 'benchmark study for welding gun fault prediction'. <strong>Feature name and explanation:</strong> c1 : Electrode cap offset; c2 : Electrode force; c3 : Electrode position; c4 : Force build-up; c5 : Balance pressure; c6 : Friction; c7 : Maximum aperture; c8 : Maximum electrode force; c9 : Mtart friction; c10 : US2; c11 : Welding point count; c12 : Position count; c13: Setpoints of counterbalance pressure; c14: Setpoints of electrode force; c15 : Setpoints of electrode position; c16: Setpoints of sheet thickness; c17 : Setpoints of velocity;<br> c18: Setpoints of force build-up;<br> c19 : Offset value in robot. <strong>Machine Learning Task:</strong><br> This dataset is suitable for a time series forecasting task, where machine learning models can be trained to predict future welding parameters based on the provided welding parameters time series in history. <strong>Code for quick start:</strong> https://zenodo.org/record/7655025 If you want to have an overview of the data before downloading all of it, you can download only the files with the word "Damo" in the file name. For any question, please contact 1910633@stu.neu.edu.cn
DOI: 10.6084/m9.figshare.24153012
title: models, traning results and figures

description: random forest classifiction and regression models, cnn, and mobilenet models. figures and records generated by model training.results from models validation.original image data(darkbox.zip) and input data which treated by OpenCV (img data.zip & train.zip).
DOI: 10.6084/m9.figshare.24153012.v3
title: models, traning results and figures

description: random forest classifiction and regression models, cnn, and mobilenet models. figures and records generated by model training.results from models validation.original image data(darkbox.zip) and input data which treated by OpenCV (img data.zip & train.zip).
DOI: 10.6084/m9.figshare.24153012.v2
title: random forest classification and regression.py

description: random forest classifiction and regression models
DOI: 10.5519/qd.r33qg4a0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.5281/zenodo.8348668
title: HYSPLIT Results 2016-11

description: This is a zipped file that contains the results of the HYSPLIT runs for the months of November and December 2016. There is one csv file for each day.
DOI: 10.5281/zenodo.8348794
title: HYSPLIT Results 2016-11

description: This is a zipped file that contains the results of the HYSPLIT runs for the months of November and December 2016. There is one csv file for each day.
DOI: 10.5281/zenodo.8348667
title: HYSPLIT Results

description: This is a collection of zipped files that contains the results of the HYSPLIT runs for select months from 2016 to 2022. In each zip file, there is one csv file for each day of that month. This was generated during my Master Thesis titled: Citizen-Data-Driven Validation and Acceleration of HYSPLIT Air Pollution Simulations with Physics-Guided Machine Learning
DOI: 10.5281/zenodo.8351690
title: HYSPLIT Results

description: This is a zipped file that contains the results of the HYSPLIT runs. There is one csv file for each day.
DOI: 10.5281/zenodo.8352685
title: HYSPLIT Results

description: This is a zipped file that contains the results of the HYSPLIT runs. There is one csv file for each day.
DOI: 10.5281/zenodo.8353115
title: HYSPLIT Results

description: This is a collection of zipped files that contains the results of the HYSPLIT runs for select months from 2016 to 2022. In each zip file, there is one csv file for each day of that month. This was generated during my Master Thesis titled: Citizen-Data-Driven Validation and Acceleration of HYSPLIT Air Pollution Simulations with Physics-Guided Machine Learning
DOI: 10.6084/m9.figshare.24152604
title: <b>“</b><b>C:N:P stoichiometry of plants, soils and microorganisms</b><b>: response to altered precipitation</b>”, GCB-Appendix Dataset S1

description: The dataset of the papre "C:N:P stoichiometry of plants, soils and microorganisms: response to altered precipitation"
DOI: 10.6084/m9.figshare.24153090
title: 20230918_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24153090.v1
title: 20230918_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.57841/casdc.0002326
title: 循环流化床高温燃烧中试数据集
DOI: 10.57841/casdc.0002327
title: 240t/h循环流化床工业锅炉示范工程数据集
DOI: 10.57841/casdc.0002328
title: 130th循环流化床工业锅炉示范工程数据集
DOI: 10.57841/casdc.0002329
title: 兆瓦级预热燃烧中试数据集
DOI: 10.57841/casdc.0002330
title: 60th煤粉预热燃烧锅炉示范工程数据集
DOI: 10.57841/casdc.0002331
title: 40th煤粉预热燃烧锅炉示范工程数据集
DOI: 10.57841/casdc.0002332
title: 90th煤粉预热燃烧锅炉示范工程数据集
DOI: 10.34740/kaggle/dsv/6488708
title: MoviesDatasets
DOI: 10.57841/casdc.0002333
title: 75th循环流化床工业锅炉示范工程数据集
DOI: 10.5281/zenodo.8353227
title: idiosepius_pygmaeus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8353226
title: idiosepius_pygmaeus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8353244
title: Supplementary material on serum metabolic profile for diagnosis of pathogen infection

description: 用于诊断病原体感染的血清代谢谱补充材料
DOI: 10.5281/zenodo.8353243
title: Supplementary material on serum metabolic profile for diagnosis of pathogen infection

description: 用于诊断病原体感染的血清代谢谱补充材料
DOI: 10.23719/1526547
title: Water quality data

description: The ZTRAX data is a national database of property sales collected by Zillow.  The data is available to researchers who submit a research proposal to Zillow.
DOI: 10.23719/1523122
title: Data for AQMEII-4 Activity 2 Technical Note - version 1

description: The data set consists of measurements obtained during ozone flux studies.
DOI: 10.23719/1529550
title: National Lakes Assessment (NLA) 2007 Report: Archived Data

description: National Lakes Assessment 2007 Datafiles for Report “National Lakes Assessment: A Collaborative Survey of the Nation’s Lakes”: 

The National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lakes nationwide are getting cleaner. The first NLA was conducted in 2007. 

This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NLA report. Sampling was conducted in the summer of 2007 at approximately 1000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic macroinvertebrates, physical habitat, landscape metrics, phytoplankton data, secchi depth, data, tropic status, water isotopes, zooplankton, etc.  Users are encouraged to visit the NARS data webpage for potential updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys

Citation for the NLA 2007 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Lakes Assessment 2007 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/national-lakes-assessment-2007-report. DOI: 10.23719/1529550

EPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation.  EPA also encourages users of the data to include the following acknowledgement: “The National Lakes Assessment 2007 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.”

Additional information: NLA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years.
DOI: 10.34740/kaggle/dsv/3663663
title: Quantangle
DOI: 10.5281/zenodo.8353253
title: cephalothrix_simula_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8353252
title: cephalothrix_simula_spades_01.fasta.gz

description: .