cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57841/casdc.0002486
title: 反应烧结(Mn,Co)3O4尖晶石层在SOFC阴极侧接触应用中的评价
DOI: 10.57841/casdc.0002487
title: 氦气轮机测试系统性能匹配试验数据集
DOI: 10.57841/casdc.0002488
title: 新型费托合成催化剂示范运行数据集
DOI: 10.57841/casdc.0002489
title: 费托合成催化剂CO2选择性调控的基础研究数据集
DOI: 10.57841/casdc.0002490
title: 新一代甲醇制烯烃放大制备催化剂性能数据集
DOI: 10.57841/casdc.0002491
title: 新一代甲醇制烯烃技术中试数据集
DOI: 10.57841/casdc.0002492
title: 兆瓦级预热燃烧中试数据集
DOI: 10.57841/casdc.0002493
title: 40t/h煤粉预热燃烧锅炉示范工程数据集
DOI: 10.57841/casdc.0002494
title: 90t/h煤粉预热燃烧锅炉示范工程数据集
DOI: 10.57841/casdc.0002495
title: 75t/h循环流化床工业锅炉示范工程数据集
DOI: 10.57841/casdc.0002496
title: 240t/h循环流化床工业锅炉示范工程数据集
DOI: 10.57841/casdc.0002497
title: 高产油黄丝藻油脂合成途径解析及贴壁培养装置开发数据集
DOI: 10.34740/kaggle/dsv/6525299
title: SagaGameAnalyst
DOI: 10.57841/casdc.0002498
title: 微纳米Cu2O催化燃烧高浓度CO实验和表征数据
DOI: 10.34740/kaggle/dsv/6525309
title: SalesDataAnalysis
DOI: 10.57841/casdc.0002499
title: 超长重力热管开采干热岩地热能场地实验（河北唐山）相关实验数据及报告
DOI: 10.57841/casdc.0002500
title: 大长径比重力热管管内两相流动及传热性能实验相关数据及报告
DOI: 10.6084/m9.figshare.21995738
title: Genome analysis of Heracleum sosnowskyi and other Apiaceae

description: This dataset consists of three parts: 1) The nuclear genome of <em>Heracleum sosnowskyi</em>. 2) Annotations of the nuclear genomes of <em>Heracleum sosnowskyi</em>, <em>Coriandrum sativum</em>, <em>Apium graveolens</em> and <em>Daucus carota</em>. 3) Scripts that were used in the analysis of these genomes.
DOI: 10.6084/m9.figshare.21995738.v2
title: Genome analysis of Heracleum sosnowskyi and other Apiaceae

description: This dataset consists of three parts: 1) The nuclear genome of <em>Heracleum sosnowskyi</em>. 2) Annotations of the nuclear genomes of <em>Heracleum sosnowskyi</em>, <em>Coriandrum sativum</em>, <em>Apium graveolens</em> and <em>Daucus carota</em>. 3) Scripts that were used in the analysis of these genomes.
DOI: 10.5281/zenodo.8372567
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Felix Haenseler, http://www.wikidata.org/entity/Q5858554. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5858554
DOI: 10.5281/zenodo.8372566
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Felix Haenseler, http://www.wikidata.org/entity/Q5858554. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5858554
DOI: 10.25345/c5br8ms4x
title: MassIVE MSV000092946 - GNPS 20230923_Sample SXQ-HQ-CX&HQ-DS
title: Traditional Chinese medicine, with a history spanning over thousands of years, is based on the principles of holistic healthcare and natural healing.
DOI: 10.6084/m9.figshare.24187296
title: backup files

description: Auxiliary data and codes, example data for scPlant (https://github.com/compbioNJU/scPlant). Backup files.
DOI: 10.6084/m9.figshare.24187296.v1
title: backup files

description: Auxiliary data and codes, example data for scPlant (https://github.com/compbioNJU/scPlant). Backup files.
DOI: 10.5281/zenodo.8372575
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Nicolai Hanson, http://www.wikidata.org/entity/Q9628590. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q9628590
DOI: 10.5281/zenodo.8372574
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Nicolai Hanson, http://www.wikidata.org/entity/Q9628590. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q9628590
DOI: 10.5281/zenodo.8372577
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carl Hanáček, http://www.wikidata.org/entity/Q73364504. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q73364504
DOI: 10.5281/zenodo.8372576
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carl Hanáček, http://www.wikidata.org/entity/Q73364504. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q73364504
DOI: 10.5281/zenodo.8372579
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Lucas Hardisty, http://www.wikidata.org/entity/Q105037589. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q105037589
DOI: 10.5281/zenodo.8372578
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Lucas Hardisty, http://www.wikidata.org/entity/Q105037589. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q105037589
DOI: 10.6084/m9.figshare.24187365
title: DATA for research on children's drawing: free drawing, preschool children and first graders (N=204)

description: Here are the data:- about child respondents: class, gender, administrator code;- about the drawings: the number of objects in the drawing, the presence of defined themes in the drawing, the name of the drawing (given by the child), a verbal description of the drawing (including information about the repetition of the object).
DOI: 10.5281/zenodo.8372585
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Florence E. Harrison, http://www.wikidata.org/entity/Q117328261. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q117328261
DOI: 10.5281/zenodo.8372584
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Florence E. Harrison, http://www.wikidata.org/entity/Q117328261. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q117328261
DOI: 10.5281/zenodo.8371239
title: Monte Carlo Arithmetic Instrumented DeepGOPlus Protein Function Predictions

description: This dataset contains the perturbed protein function predictions by the DeepGOPlus model excluding the Diamond tool component. The model was perturbed with Verrou, an implementation of Monte Carlo Arithmetic (MCA), a stochastic arithmetic technique that injects noise into a program that simulates changes in a user's execution environment. The folders contain pkl files that can be read with the Pandas python library to load up dataframes containing the predictions and original values. Each file is one MCA sample run across the entire DeepGOPlus test set. The folder "Verrou_All" contains predictions where the entirety of the model was instrumented with MCA. The folder "Verrou_TF" contains predictions where only the Tensorflow library was instrumented with MCA. The folder "Fuzzy_Python" contains predictions where only the Python interpreter was instrumented with MCA. The folder "VPREC_Outbound_Mode" contains predictions where the virtual precision of the floating point operations was reduced witht the VPREC precision simulator tool in outbound mode. The folder "VPREC_Inbound_Mode" contains predictions where the virtual precision of the floating point operations was reduced witht the VPREC precision simulator tool in inbound mode. More information can be found by consulting this paper or this Github repository.
DOI: 10.5281/zenodo.8371238
title: Monte Carlo Arithmetic Instrumented DeepGOPlus Protein Function Predictions

description: This dataset contains the perturbed protein function predictions by the DeepGOPlus model excluding the Diamond tool component. The model was perturbed with Verrou, an implementation of Monte Carlo Arithmetic (MCA), a stochastic arithmetic technique that injects noise into a program that simulates changes in a user's execution environment. The folders contain pkl files that can be read with the Pandas python library to load up dataframes containing the predictions and original values. Each file is one MCA sample run across the entire DeepGOPlus test set. The folder "Verrou_All" contains predictions where the entirety of the model was instrumented with MCA. The folder "Verrou_TF" contains predictions where only the Tensorflow library was instrumented with MCA. The folder "Fuzzy_Python" contains predictions where only the Python interpreter was instrumented with MCA. The folder "VPREC_Outbound_Mode" contains predictions where the virtual precision of the floating point operations was reduced witht the VPREC precision simulator tool in outbound mode. The folder "VPREC_Inbound_Mode" contains predictions where the virtual precision of the floating point operations was reduced witht the VPREC precision simulator tool in inbound mode. More information can be found by consulting this paper or this Github repository.
DOI: 10.57841/casdc.0002501
title: 应变效应对FeNC催化剂氧还原反应活性和稳定性影响的理论研究数据
DOI: 10.5517/ccdc.csd.cc1zx535
title: CCDC 1844317: Experimental Crystal Structure Determination

description: Related Article: Ryan Djemili, Lucas Kocher, Stéphanie Durot, Anssi Peuronen, Kari Rissanen, Valérie Heitz|2018|Chem.-Eur.J.|25|1481|doi:10.1002/chem.201805498
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zx546
title: CCDC 1844318: Experimental Crystal Structure Determination

description: Related Article: Ryan Djemili, Lucas Kocher, Stéphanie Durot, Anssi Peuronen, Kari Rissanen, Valérie Heitz|2018|Chem.-Eur.J.|25|1481|doi:10.1002/chem.201805498
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57841/casdc.0002502
title: 燃料电池多孔电极的电化学刻蚀处理及性能研究数据
DOI: 10.5517/ccdc.csd.cc21hnks
title: CCDC 1891885: Experimental Crystal Structure Determination

description: Related Article: Anwar Jacintomoreno, Hemant K. Sharma, Alejandro Metta-Magaña, Keith H. Pannell|2019|Chem.-Eur.J.|25|11302|doi:10.1002/chem.201901877
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21hnlt
title: CCDC 1891886: Experimental Crystal Structure Determination

description: Related Article: Anwar Jacintomoreno, Hemant K. Sharma, Alejandro Metta-Magaña, Keith H. Pannell|2019|Chem.-Eur.J.|25|11302|doi:10.1002/chem.201901877
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21hnmv
title: CCDC 1891887: Experimental Crystal Structure Determination

description: Related Article: Anwar Jacintomoreno, Hemant K. Sharma, Alejandro Metta-Magaña, Keith H. Pannell|2019|Chem.-Eur.J.|25|11302|doi:10.1002/chem.201901877
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21hnnw
title: CCDC 1891888: Experimental Crystal Structure Determination

description: Related Article: Anwar Jacintomoreno, Hemant K. Sharma, Alejandro Metta-Magaña, Keith H. Pannell|2019|Chem.-Eur.J.|25|11302|doi:10.1002/chem.201901877
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21hnpx
title: CCDC 1891889: Experimental Crystal Structure Determination

description: Related Article: Anwar Jacintomoreno, Hemant K. Sharma, Alejandro Metta-Magaña, Keith H. Pannell|2019|Chem.-Eur.J.|25|11302|doi:10.1002/chem.201901877
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21xhk1
title: CCDC 1904223: Experimental Crystal Structure Determination

description: Related Article: Sebastian V. Kruppa, Cedric Groß, Xin Gui, Florian Bäppler, Björn Kwasigroch, Yu Sun, Rolf Diller, Wim Klopper, Gereon Niedner-Schatteburg, Christoph Riehn, Werner R. Thiel|2019|Chem.-Eur.J.|25|11269|doi:10.1002/chem.201901981
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57841/casdc.0002503
title: 100 cm2自驱动式氢气分离器稳定性测试
DOI: 10.57841/casdc.0002504
title: 高温质子交换膜制备放大
DOI: 10.57841/casdc.0002505
title: 弱碱膜和强碱膜不同温度下的电导率
DOI: 10.57841/casdc.0002506
title: 电极中不同PTFE含量对分离器氢气渗透率和选择性的影响
DOI: 10.57841/casdc.0002507
title: 不同操作温度对氢气渗透率及选择性的影响
DOI: 10.57841/casdc.0002508
title: 自驱动式电化学氢气膜分离器低贵金属负载运行数据集
DOI: 10.57841/casdc.0002509
title: 厌氧产物处理综合利用数据
DOI: 10.57841/casdc.0002510
title: 厌氧发酵过程预警与调控数据
DOI: 10.5281/zenodo.8225600
title: Developing Deep Learning Approaches to Find and Classify Architectural Design Decisions in Issue Tracking Systems

description: This upload contains three files: mongodump-JiraRepos_2023-03-07-16 00.archive: Archive containing the issue data pulled from the Jira API. mongodump-MiningDesignDecisions.archive: Archive containing the data of our deep learning models and the labelled issues. mongodump-MiningDesignDecisions-lite.archive: Similar to the archive above, except this one only contains the best trained model (BERT). Also, it does not contain any embeddings or other files. This archive contains the data of our deep learning models and the labelled issues (MiningDesignDecisions archive).
DOI: 10.5281/zenodo.8225601
title: Improving Deep Learning Techniques for Architectural Design Decision Mining in Issue Tracking Systems

description: This archive contains the data of our deep learning models and the labelled issues.
DOI: 10.5281/zenodo.8372644
title: Developing Deep Learning Approaches to Find and Classify Architectural Design Decisions in Issue Tracking Systems

description: This upload contains three files: mongodump-JiraRepos_2023-03-07-16 00.archive: Archive containing the issue data pulled from the Jira API. mongodump-MiningDesignDecisions.archive: Archive containing the data of our deep learning models and the labelled issues. mongodump-MiningDesignDecisions-lite.archive: Similar to the archive above, except this one only contains the best trained model (BERT). Also, it does not contain any embeddings or other files. This archive contains the data of our deep learning models and the labelled issues (MiningDesignDecisions archive).
DOI: 10.6084/m9.figshare.24187392
title: 20230924_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24187392.v1
title: 20230924_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.8372651
title: Dataset for Task-dependent spatial processing in the visual cortex

description: The dataset contains the mean ERPs values of each participant after the audiovidual stimulus (S2 for the spatial bisection and S for the spatial localization), divided as follows: - condition (i.e., 1sc: short distance between S1 and S2, 1sl: long distance between S1 and S2), - task (i.e., spatial bisection or spatial localization), - time window (i.e., 50-90 ms or 110-160 ms post stimulus), - roi (i.e., O1, O2, C1, C2, T7 or T8 electrodes).
DOI: 10.5281/zenodo.8372650
title: Dataset for Task-dependent spatial processing in the visual cortex

description: The dataset contains the mean ERPs values of each participant after the audiovidual stimulus (S2 for the spatial bisection and S for the spatial localization), divided as follows: - condition (i.e., 1sc: short distance between S1 and S2, 1sl: long distance between S1 and S2), - task (i.e., spatial bisection or spatial localization), - time window (i.e., 50-90 ms or 110-160 ms post stimulus), - roi (i.e., O1, O2, C1, C2, T7 or T8 electrodes).
DOI: 10.57841/casdc.0002511
title: 生物燃气示范工程运行情况
DOI: 10.34740/kaggle/dsv/6525697
title: wwwwwwwwwwwwwwwwwww
DOI: 10.57841/casdc.0002512
title: 微型电化学储能器件数据
DOI: 10.57841/casdc.0002513
title: 农村生物质热电气联供独立能源系统示范技术指标数据集
DOI: 10.5519/qd.wkrloybf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.8372670
title: Table I

description: All computations needed to generate Table I with an overview on page. Note layout is 13 x 19 inches in landscape
DOI: 10.5281/zenodo.8372669
title: Table I

description: All computations needed to generate Table I with an overview on page. Note layout is 13 x 19 inches in landscape
DOI: 10.34740/kaggle/dsv/6525843
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/6525848
title: Mahanagar Yatayat Transport Dataset
DOI: 10.57841/casdc.0002514
title: 水系钠钾离子电池电极表征数据集
DOI: 10.6084/m9.figshare.24187368
title: Source data for figures in the paper: Coastal surface soil carbon stocks have distinctly increased under extensive ecological restoration in northern China

description: Fig. 1 Administrative divisions and sampling sites of the study area. Fig. 2 Simulation accuracies of soil organic carbon (SOC) across scales from 100 m to 1000 m. Fig. 3 Maps of soil organic carbon density (SOCD) in 2020 across scales from 100 m to 1000 m in the three extents. Fig. 4 Estimations of soil organic carbon density (SOCD) and stock (SOCS) across scales from 100 m to 1000 m in the three extents. Fig. 5 Maps of △SOCD from 2010 to 2020. Fig. 6 Spatial patterns of SOCD and △SOCD along the multiple gradients. Fig. 7 Effects of extensive ecological restoration on coastal soil carbon stock.
DOI: 10.6084/m9.figshare.24187377
title: Supplementary Materials for manuscript "Revisiting the Asian buffalo leech (<i>Hirudinaria manillensis</i>) genome: focus on antithrombotic genes and associated proteins"

description: Leeches are obligate blood-feeding annelids distributed around the globe from tropical to subarctic regions. Some leech species secrete various biologically active substances, such as anticoagulants and thrombolytics, and have important medical and pharmaceutical value in antithrombotic treatments. In this study, we provide a high quality genome of the Asian buffalo leech (<i>Hirudinaria manillensis</i>), based on which we performed a systematic identification of potential antithrombotic genes and their corresponding proteins. Our study provides the most comprehensive collection of antithrombotic biomacromolecules from a leech to date. Our results will greatly facilitate the research and application of leech derivatives for medical and pharmaceutical purposes of thrombosis.1Hman.genome.fa: the whole genome assembly, including 13 chromosomes, 1 mitochondrial genome, and nine debris2Hman.genome.gff: GFF file of BRAKER-plus gene prediction approach3Hman.cds.fa: all coding sequences of predicted genes, 4Hman.antithrombotic.cds.fa: all coding sequences of 72 antithrombotic genes<br>
DOI: 10.6084/m9.figshare.24187371
title: Untitled Item

description: Data for the three experiments.
DOI: 10.6084/m9.figshare.24187371.v1
title: Untitled Item

description: Data for the three experiments.
DOI: 10.34740/kaggle/dsv/6526048
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.57841/casdc.0002515
title: 甘油氢解制1,3-丙二醇实验数据集
DOI: 10.5281/zenodo.8372730
title: Nanoscale electronic transport at graphene/pentacene van der Waals interface.

description: Dataset of the graphene-pentacene nanostrutures measurements related to the publication: "Nanoscale electronic transport at graphene/pentacene van der Waals interface." Nanoscale 15, 9203-9214 (2023). The dataset includes:<br> - AFM measurements<br> - Raman spectroscopy data<br> - Current-voltage data sets and the fits by analytical models.
description: Grants. - Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (CH): Hybrid Van der Waals heterostructures for vertical, permeable-base organic transistors (200021L_182544) - Agence National de la recherche scientifique (FR): Hybrid Van der Waals heterostructures for vertical, permeable-base organic transistors (ANR-18-CE93-0005-01)
description: {"references": ["Daher Mansour, M. et al. Nanoscale electronic transport at graphene/pentacene van der Waals interface. Nanoscale 15, 9203-9214 (2023)."]}