cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fj3ps
title: CCDC 2249815: Experimental Crystal Structure Determination

description: Related Article: Anna Egorova, Martina Richter, Maria Khrenova, Elisabeth Dietrich, Andrey Tsedilin, Elena Kazakova, Alexander Lepioshkin, Birgit Jahn, Vladimir Chernyshev, Michaela Schmidtke, Vadim Makarov|2023|RSC Advances|13|18253|doi:10.1039/D3RA02895J
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.cc2fkclz
title: CCDC 2251021: Experimental Crystal Structure Determination

description: Related Article: Brady J. H. Austen, Marissa L. Clapson, Marcus W. Drover|2023|RSC Advances|13|19158|doi:10.1039/D3RA02797J
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.cc2flvzw
title: CCDC 2252459: Experimental Crystal Structure Determination

description: Related Article: Jie Zhang, Kai-Qi Sun, Zhong-Hui Zhang, Ri-Cheng Wang, Zi-Han Lin, Xiao-Wu Lei, Yu-Yin Wang, Ping Ju, Yuan-Chun He|2023|RSC Advances|13|19039|doi:10.1039/D3RA02813E
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.cc2fymtv
title: CCDC 2262808: Experimental Crystal Structure Determination

description: Related Article: Vijay Kumar, Praval Pratap Singh, Ashish Ranjan Dwivedi, Naveen Kumar, Rakesh kumar, Subash Chandra Sahoo, Sudip Chakraborty, Vinod Kumar|2023|RSC Advances|13|16899|doi:10.1039/D3RA00773A
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.cc2czphk
title: CCDC 2204239: Experimental Crystal Structure Determination

description: Related Article: Deepika Tanwar, Priya Jain, Deepali Ahluwalia, Athul Sudheendranath, Sajesh P. Thomas, Pravin P. Ingole, Umesh Kumar|2023|RSC Advances|13|24450|doi:10.1039/D3RA04709A
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.cc2fvy4d
title: CCDC 2260214: Experimental Crystal Structure Determination

description: Related Article: Mridul Karmakar, Wahedur Sk, Rosa M. Gomila, Michael. G. B. Drew, Antonio Frontera, Shouvik Chattopadhyay|2023|RSC Advances|13|21211|doi:10.1039/D3RA04044E
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.cc2fvy5f
title: CCDC 2260215: Experimental Crystal Structure Determination

description: Related Article: Mridul Karmakar, Wahedur Sk, Rosa M. Gomila, Michael. G. B. Drew, Antonio Frontera, Shouvik Chattopadhyay|2023|RSC Advances|13|21211|doi:10.1039/D3RA04044E
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.cc2fvy6g
title: CCDC 2260216: Experimental Crystal Structure Determination

description: Related Article: Mridul Karmakar, Wahedur Sk, Rosa M. Gomila, Michael. G. B. Drew, Antonio Frontera, Shouvik Chattopadhyay|2023|RSC Advances|13|21211|doi:10.1039/D3RA04044E
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.cc2fvy7h
title: CCDC 2260217: Experimental Crystal Structure Determination

description: Related Article: Mridul Karmakar, Wahedur Sk, Rosa M. Gomila, Michael. G. B. Drew, Antonio Frontera, Shouvik Chattopadhyay|2023|RSC Advances|13|21211|doi:10.1039/D3RA04044E
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.cc2g7pp3
title: CCDC 2271515: Experimental Crystal Structure Determination

description: Related Article: Ye Ji Seo, Eunsil Kim, In Seok Oh, Ji Young Hyun, Ji Ho Song, Hwan Jung Lim, Seong Jun Park|2023|RSC Advances|13|24445|doi:10.1039/D3RA04208A
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: 10.34740/kaggle/dsv/6354720
title: Bitcoin Open Interest (Binance Futures)
DOI: 10.7303/syn52335732
title: Fujita et al 2023 - ROSMAP DLPFC snRNAseq
DOI: 10.34740/kaggle/dsv/6354747
title: Bitcoin Long/Short Ratio (Binance Futures)
DOI: 10.34740/kaggle/dsv/6354791
title: Bitcoin Taker Buy/Sell Volume (Binance Futures)
DOI: 10.25345/c53b5wj92
title: MassIVE MSV000092738 - Peptide standard acquired with the dual-gated SLIM-Orbitrap
title: Raw data collected on the dual-gated SLIM-Orbitrap. The sample contained a mixture of standard peptides at 1 uM equimolar concentration in 60:40 water:acetonitrile with 1% acetic acid (v/v). The peptides were kemptide, angiotensin I, bradykinin, neurotensin, angiotensin II, renin substrate tetradecapeptide procine, melittin, substance P, and fibrinopeptide A. Acquisition parameters included: starting arrival time of 86 ms, 1 ms / step, width of 1 ms, 5 scans per step, MS1 only.
DOI: 10.5281/zenodo.8253318
title: Dataset for the SPARC-related modular calcium-binding protein 1(SMOC-1) antibody screening study

description: This project contains the following underlying data included in a study which characterized seven commercially-available antibodies for SMOC-1. The study is also available on Zenodo<strong> </strong>(https://doi.org/10.5281/zenodo.8277962).
DOI: 10.5281/zenodo.8253319
title: Dataset for the SPARC-related modular calcium-binding protein 1(SMOC-1) antibody screening study

description: This project contains the following underlying data included in a study which characterized seven commercially-available antibodies for SMOC-1. The study is also available on Zenodo<strong> </strong>(https://doi.org/10.5281/zenodo.8277962).
DOI: 10.14279/depositonce-18619
title: BIM semantic enrichment for the path planning of indoor wall-climbing robots

description: The availability of small-sized and compact wall-climbing robots is expected to facilitate inspection, maintenance, and domestic service tasks, especially in crowded indoor spaces where floor spaces are largely occupied. In contrast to the Unmanned Ground Vehicles (UGVs), the operation of wall-climbing robots would cost more power since it requires extra energy to overcome their gravity and adhere stably to inclined surfaces. Efficiently finding an optimal path between two different locations is crucial for the wall-climbing robot to improve energy efficiency and is the key to promoting the application of wall-climbing robots indoors. To navigate, the robot should construct or possess an appropriate representation of the surrounding environment. The simultaneous localization and mapping (SLAM) approach is a common way used by Unmanned Ground Vehicles (UGVs) to create a map of an unknown environment. To achieve this, the robot needs to be equipped with sensors (e.g.2D or 3D laser scanner) to scan its surroundings and an on-board processor to process the collected data in real-time. This process often requires a high onboard processing capacity and costs a lot of energy, which is challenging for indoor wall-climbing robots due to the limited payload capacity and battery power. Furthermore, traditional SLAM approaches only output geometric maps without semantic features, which might result in inaccurate or unreasonable path planning in practical applications. Most research on semantic mapping in the robotics field relies on RGB-D cameras equipped on the robot and computer vision algorithms for semantic detections. This, however, causes an increase on the computational cost. In the AEC industry, Building Information Modelling (BIM), supported by the international standard Industrial Foundation Class (IFC), is the most well-known approach to represent comprehensive geometric and semantic information of a building. The widespread adoption of BIM and the availability of increasingly reliable BIM models offer the wall-climbing robot new sources of information about their surroundings. Instead of solely relying on on-board sensors, making use of BIM data would considerably reduce the computational burden of the robot. Previous studies on BIM-based indoor path planning have proposed different indoor data models suitable for the path planning of different users including pedestrians, emergency responders and ground mobile robots. The users considered in these studies usually move in a horizontal direction. However, wall-climbing robots have different movement patterns and route preferences. The information included in existing data models cannot meet the requirement of wall-climbing robot path planning.Therefore, to facilitate BIM-based path planning of wall-climbing robots, a new indoor data model needs to be developed and the voxelization algorithm needs to be improved.
DOI: 10.5281/zenodo.8270693
title: Circulating hybrid cell dataset

description: Peripheral blood mononuclear cell images for each region of interest (ROI). Each ROI .zip contains 3-channel, 96 by 96 pixel (0.325 mpp) single-cell .tiffs following the naming convention: "CG_{}_R1_{}_R2_{}_LABEL_{}_CENTROID_{}_{}.tiff". CG is the computational gating circulating hybrid cell call ("positive", "near", or "negative"), R1 is the number of positive votes received in annotation round 1 (0-7), R2 is the number of positive votes received in annotation round 2 (0-10), label is the cell's segmentation mask label, and centroid is the x/y coordinates of the cell centroid in the ROI. The marker order is [epithelial cocktail, CD45, DAPI].
DOI: 10.5281/zenodo.8270692
title: Circulating hybrid cell dataset

description: Peripheral blood mononuclear cell images for each region of interest (ROI). Each ROI .zip contains 3-channel, 96 by 96 pixel (0.325 mpp) single-cell .tiffs following the naming convention: "CG_{}_R1_{}_R2_{}_LABEL_{}_CENTROID_{}_{}.tiff". CG is the computational gating circulating hybrid cell call ("positive", "near", or "negative"), R1 is the number of positive votes received in annotation round 1 (0-7), R2 is the number of positive votes received in annotation round 2 (0-10), label is the cell's segmentation mask label, and centroid is the x/y coordinates of the cell centroid in the ROI. The marker order is [epithelial cocktail, CD45, DAPI].
DOI: 10.6084/m9.figshare.24013941.v2
title: A high-quality genome assembly highlights Populus ussuriensis genomic characteristics and photosynthetic acclimation to cold

description: A high-quality genome assembly highlights Populus ussuriensis genomic characteristics and photosynthetic acclimation to cold
DOI: 10.34740/kaggle/dsv/6354925
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.8278053
title: Supplementary files

description: Table S1: Primers for RT-qPCR.<br> Table S2: Standard oligonucleotides for RT-qPCR.<br> Figure S1: Levels of miRNAs selected by RNA-seq in time-matched controls and after hydrocortisone administration by RT-qPCR.<br> Figure S2: Levels of miRNAs selected by RNA-seq during endogenous hydrocortisone elevation by RT-qPCR.
DOI: 10.5281/zenodo.8278052
title: Supplementary files

description: Table S1: Primers for RT-qPCR.<br> Table S2: Standard oligonucleotides for RT-qPCR.<br> Figure S1: Levels of miRNAs selected by RNA-seq in time-matched controls and after hydrocortisone administration by RT-qPCR.<br> Figure S2: Levels of miRNAs selected by RNA-seq during endogenous hydrocortisone elevation by RT-qPCR.
DOI: 10.34740/kaggle/ds/3660201
title: S&P 500 ESG Risk Ratings
DOI: 10.6084/m9.figshare.24021465
title: Australian saltmarsh and sparsely vegetated saltmarsh map version 1.0

description: The dataset contains a national map of saltmarsh and sparsely vegetated saltmarsh (also known as saltflats) ecosystems produced via a classification of Landsat 8 images.The map output of this classification and associated map data files are described below:1. JCU_Australia-saltmarsh-extent_v1-0.tiff: Contains a national map of saltmarsh ecosystems produced via a classification of Landsat 8 images. Pixel value is either 0 (Non Saltmarsh) or 1 (Saltmarsh).2. JCU_Australia-saltmarsh-probability_v1-0.tiff: Contains the associated probability map associated with the saltmarsh map. Pixel value represents percentage probability with values ranging from 0 – 100 (%).3. JCU_Australia-saltflat-extent_v1-0.tiff: Contains a national map of saltflats produced via a classification of Landsat 8 images. Pixel value is either 0 (Non Saltflats) or 1 (Saltflats).4. JCU_Australia-saltflat-probability_v1-0.tiff: Contains the associated probability map associated with the saltflat map. Pixel value represents percentage probability with values ranging from 0 – 100 (%).Suggested citation: Navarro, A., Canto, R., M., Lyons, M. & Murray, N.J. (2023) Australian saltmarsh and sparsely vegetated saltmarsh map version 1.0. James Cook University, Townsville. DOI: 10.6084/m9.figshare.24021465
DOI: 10.6084/m9.figshare.24021528
title: Untitled Item

description: This datasets includes 9 event logs, which can be used to experiment with log completeness-oriented event log sampling methods.<br>· exercise.xes: The dataset is a simulation log generated by the paper review process model, and each trace clearly describes the process of reviewing papers in detail.<br>· training_log_1/3/8.xes: These 3 datasets are human-trained simulation logs for the 2016 Process Discovery Competition (PDC 2016). Each trace consists of two values, the name of the process model activity referenced by the event and the identifier of the case to which the event belongs.<br>· Production.xes: This dataset includes process data from production processes, and each track includes data for cases, activities, resources, timestamps, and more data fields.<br>· BPIC_2012_A/O/W.xes: These 3 dataset are derived from the personal loan application process of a financial institution in the Netherlands. The process represented in the event log is the application process of a personal loan or overdraft in a global financing organization. Each trace describes the process of applying for a personal loan for different customers.·ETM: This data set contains loan application examples and provides a brief description of the loan application process.·TSL.anon: This data set contains loan application examples and provides a brief description of the loan application process.: This data set comprises examples of a telecom company's second-line Customer Relationship Management (CRM) process.·BPIC2015_1: This data set contains loan application examples and provides a brief description of the loan application process.: This data set contains all building permit applications of the Dutch municipal government over approximately 4 years. The logs include information about the main application as well as objections in different stages, and also provide information about the resources and application costs of executing tasks.<br><br>
DOI: 10.57841/casdc.0001920
title: 微颗粒对超声空蚀影响的试验研究
DOI: 10.6084/m9.figshare.14562138.v1
title: SYSTEMATIC REVIEW OF MACROFUNGI BIODIVERSITY IN AFRICA

description: the dataset was compiled from six other datasets by the same author so it is a summary. the full details are in the other datasets for open access<br>this dataset is a review carried out using systematic approach but it is not a review of the systematics of mushrooms<br>
DOI: 10.57841/casdc.0001921
title: Ti6Al4V表面激光改性层重熔处理的微观组织特征及宽温域摩擦学性能研究
DOI: 10.5281/zenodo.7294723
title: TransBic: extracting bucket trend-preserving biclusters for analysis of gene expression data

description: Datasets of TransBic: extracting bucket trend-preserving biclusters for analysis of gene expression data
DOI: 10.5281/zenodo.7294724
title: Transbic: a new bi-directional clustering meth-od to identify co-expression modules and their co-expression patterns in disease progression

description: Datasets of Transbic: a new bi-directional clustering method to identify co-expression modules and their co-expression patterns in disease progression
DOI: 10.5281/zenodo.8273093
title: TransBic: extracting bucket trend-preserving biclusters for analysis of gene expression data

description: Datasets of TransBic: extracting bucket trend-preserving biclusters for analysis of gene expression data
DOI: 10.5281/zenodo.8275543
title: TransBic: extracting bucket trend-preserving biclusters for analysis of gene expression data

description: Datasets of TransBic: extracting bucket trend-preserving biclusters for analysis of gene expression data
DOI: 10.5281/zenodo.8278087
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Per Øygard, http://www.wikidata.org/entity/Q107659299. 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/Q107659299
DOI: 10.5281/zenodo.8278086
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Per Øygard, http://www.wikidata.org/entity/Q107659299. 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/Q107659299
DOI: 10.6084/m9.figshare.24021627
title: Costa et al_Supplementary Information

description: Supplementary Information: Lagenocarpus rigidus (Cyperaceae) may facilitate the establishment of Catasetum gardneri (Orchidaceae) in restinga areas of Northeastern Brazil, in <b>Brazilian Journal of Botany</b>
DOI: 10.5281/zenodo.8278089
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Joseph Gerhard Zuccarini, http://www.wikidata.org/entity/Q77121. 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/Q77121
DOI: 10.5281/zenodo.8278088
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Joseph Gerhard Zuccarini, http://www.wikidata.org/entity/Q77121. 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/Q77121
DOI: 10.5281/zenodo.8278091
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Friedrich Wilhelm Zopf, http://www.wikidata.org/entity/Q68099. 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/Q68099
DOI: 10.5281/zenodo.8278090
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Friedrich Wilhelm Zopf, http://www.wikidata.org/entity/Q68099. 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/Q68099
DOI: 10.5281/zenodo.8278093
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Albert Zimmeter, http://www.wikidata.org/entity/Q86493. 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/Q86493
DOI: 10.5281/zenodo.8278092
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Albert Zimmeter, http://www.wikidata.org/entity/Q86493. 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/Q86493
DOI: 10.5281/zenodo.8278095
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Albert Zerkowitz, http://www.wikidata.org/entity/Q4711521. 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/Q4711521
DOI: 10.5281/zenodo.8278094
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Albert Zerkowitz, http://www.wikidata.org/entity/Q4711521. 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/Q4711521
DOI: 10.5281/zenodo.8278097
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Karl Ludwig Zeuner, http://www.wikidata.org/entity/Q55127446. 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/Q55127446