cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22582108
title: Datasets for the paper

description: There are three files in this item. The first file, that is '1_RCS_data', is the RCS data of the target used in the paper. The second file, that is '2_Ant_pos_GA', is the experimental optimization results of GA. There are 40 rows in the dataset. Every two rows represent a experimental result, where the former row is the abscissa of the nodes, and the latter row is the ordinate of the nodes, all in meters. The third file, that is '3_Ant_pos_LSTM_PPO', is the experimental optimization results of the proposed method. There are 40 rows in the dataset. Every two rows represent a experimental result, where the former row is the abscissa of the nodes, and the latter row is the ordinate of the nodes, all in meters.
DOI: 10.6084/m9.figshare.22582108.v2
title: Datasets for the paper

description: There are three files in this item. The first file, that is '1_RCS_data', is the RCS data of the target used in the paper. The second file, that is '2_Ant_pos_GA', is the experimental optimization results of GA. There are 40 rows in the dataset. Every two rows represent a experimental result, where the former row is the abscissa of the nodes, and the latter row is the ordinate of the nodes, all in meters. The third file, that is '3_Ant_pos_LSTM_PPO', is the experimental optimization results of the proposed method. There are 40 rows in the dataset. Every two rows represent a experimental result, where the former row is the abscissa of the nodes, and the latter row is the ordinate of the nodes, all in meters.
DOI: 10.6084/m9.figshare.22582108.v1
title: Datasets for the paper Antenna_Placement_Optimization_for_Distributed_MIMO_Radar_Based_on_Reinforcement_Learning_Algorithm

description: There are three files in this item. The first file, that is '1_RCS_data', is the RCS data of the target used in the paper. The second file, that is '2_Ant_pos_GA', is the experimental optimization results of GA. There are 40 rows in the dataset. Every two rows represent a experimental result, where the former row is the abscissa of the nodes, and the latter row is the ordinate of the nodes, all in meters. The third file, that is '3_Ant_pos_LSTM_PPO', is the experimental optimization results of the proposed method. There are 40 rows in the dataset. Every two rows represent a experimental result, where the former row is the abscissa of the nodes, and the latter row is the ordinate of the nodes, all in meters.
DOI: 10.25442/hku.22561771
title: Supporting data for “Association of Fatty Acid Binding Protein 4 Downregulation with the Development and Treatment of Osteoarthritis"

description: This dataset contains the data collected for the dissertation "Association of Fatty Acid Binding Protein 4 Downregulation with the Development and Treatment of Osteoarthritis". It is about that FABP4 is important to the pathogenesis of osteoarthritis which is a degenerative disease affected millions of individuals. Based on the dataset, FABP4 deficiency is proven to relieve the key progress of osteoarthritis including cartilage erosion and subchondral bone resorption. <br> There are 2 main folders and 4 sheets for Chapter 3/4/5/6 in the file. For in vivo folder, there are HE, FGSO, IHC, microCT and TRAP. The in vivo results indicate that FABP4 deficiency in bone marrow instead of synovium could suppress the pathogenesis of osteoarthritis which includes M1 polarization and M1-related osteoclastogenesis. For in vitro part, there are flow, WB, TRAP staining, and pit assay. The in vitro results show that FABP4 inhibition could suppress the LPS/IFN-induced M1 polarization and Fabkin/RANKL-induced osteoclastogenesis.If raw MicroCT data and Akoya IHC scanning data are in need, please contact Chenhao PAN or Prof. Chiu for the assess.
DOI: 10.25442/hku.22561771.v1
title: Supporting data for “Association of Fatty Acid Binding Protein 4 Downregulation with the Development and Treatment of Osteoarthritis"

description: This dataset contains the data collected for the dissertation "Association of Fatty Acid Binding Protein 4 Downregulation with the Development and Treatment of Osteoarthritis". It is about that FABP4 is important to the pathogenesis of osteoarthritis which is a degenerative disease affected millions of individuals. Based on the dataset, FABP4 deficiency is proven to relieve the key progress of osteoarthritis including cartilage erosion and subchondral bone resorption. <br> There are 2 main folders and 4 sheets for Chapter 3/4/5/6 in the file. For in vivo folder, there are HE, FGSO, IHC, microCT and TRAP. The in vivo results indicate that FABP4 deficiency in bone marrow instead of synovium could suppress the pathogenesis of osteoarthritis which includes M1 polarization and M1-related osteoclastogenesis. For in vitro part, there are flow, WB, TRAP staining, and pit assay. The in vitro results show that FABP4 inhibition could suppress the LPS/IFN-induced M1 polarization and Fabkin/RANKL-induced osteoclastogenesis.If raw MicroCT data and Akoya IHC scanning data are in need, please contact Chenhao PAN or Prof. Chiu for the assess.
DOI: 10.3886/e114851v1-136060
title: Replication data for: Airline Pricing, Price Dispersion, and Ticket Characteristics on and off the Internet

description: This paper uses transaction data to investigate the effects of Internet purchase on airline fares. Our data include ticket characteristics, restrictions, flight load factors, and dates and channel of purchase. Controlling for ticket and flight characteristics, online purchasers pay about 11 percent less than offline purchasers, which seems rooted in more efficient shopping. The results do not support a spillover in terms of reduced fares or dispersion from greater Internet shopping. The paper also uses the data to reevaluate the relationship between market concentration and fares, but fails to identify any statistically significant, robust relationship.
DOI: 10.34740/kaggle/dsv/5367001
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.6084/m9.figshare.22584496
title: Raw data for JOL

description: <strong>Gonad traits and age structure of the sea urchin </strong><em><strong>Heliocidaris crassispina</strong></em> <strong>in central range: A comparison with range-extenders</strong>
DOI: 10.6084/m9.figshare.22584496.v1
title: Raw data for JOL

description: <strong>Gonad traits and age structure of the sea urchin </strong><em><strong>Heliocidaris crassispina</strong></em> <strong>in central range: A comparison with range-extenders</strong>
DOI: 10.6084/m9.figshare.21823455.v42
title: The ReptileEvolution.com Project

description: Taxon exclusion is the number one problem currently vexing paleontology. The search for pterosaur, turtle, bat, snake, whale, reptile and tetrapod ancestors continues to unnecessarily befuddle paleontologists who continue to work from cherry-picked, textbook and traditional taxon lists that overlook and omit pertinent taxa. That’s why the large reptile tree (LRT), the nearly completely resolved cladogram at the heart of www.ReptileEvolution.com, includes 2212 taxa. Larger taxon numbers minimize taxon exclusion issues. Results indicate the simple act of adding taxa resolves all phylogenetic issues.
DOI: 10.21227/qtmn-m570
title: DEVANAGARI CAPTCHA DATASET OF 1 Million Images : A challenge Test

description: CAPTCHA (Completely Automated Public Turing Tests to Tell Computers and Humans Apart). Only humans can successfully complete this test; current computer systems cannot. It is utilized in several applications for both human and machine identification. Text-based CAPTCHAs are the most typical type used on websites. Most of the letters in this protected CAPTCHA script are in English, it is challenging for rural residents who only speak their native tongues to pass the test. Devanagari characters have more complex characters than standard English characters and numeral-based CAPTCHAs, which makes machine recognition much more difficult. The majority of official websites in India only offer information in Devanagari. Unfortunately, websites do not use Devanagari CAPTCHAs.As a result, we have created a new text-based CAPTCHA in Devanagari script in this article. A computer/printed font and handwritten Devanagari character(34 each) and number(10 each) , in total 44+44 = 88 character images are used to design CAPTCHA. General CAPTCHA generation principles are used to add noise to the image using digital image processing techniques. Size of each CAPTCHA image is 250 X 90 pixels. 04 (Four) types of Character Sets are used – Printed Alphabet(34), Handwritten Alphabet(34), Printed Digit(10), and Handwritten Digit(10). Generated 11 Classes from these 04 combinations. The string length of the CAPTCHA image considered here is FIVE, SIX, and SEVEN ( 5, 6, 7). For each class – 03 (THREE) subclasses are created depending upon string length. In total there are 11 classes X 3 subclasses = 33 subclasses. So 33 types of CAPTCHA images were generated. For each class, 10,000 CAPTCHA images were created. For 11 Classes X 10,000 images , a Devanagari CAPTCHA Data set of 1,10,000 ( One Million Ten Thousand) images were created using Python. To make the CAPTCHA image less recognized or not easily broken. Passing a test with identifying Devanagari alphabets is difficult. It is beneficial to researchers who are investigating captcha recognition in this area. This dataset is helpful to researcher to design OCR for recognize Devanagari CAPTCHA and break it.
DOI: 10.5517/ccdc.csd.cc25v5z6
title: CCDC 2021168: Experimental Crystal Structure Determination

description: Related Article: Yupeng Cao, Haifeng Huang, Limin Wang, Xiangyang Lin, Jun Yang|2023|J.Org.Chem.|88|4301|doi:10.1021/acs.joc.2c02879
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.cc25v608
title: CCDC 2021169: Experimental Crystal Structure Determination

description: Related Article: Yupeng Cao, Haifeng Huang, Limin Wang, Xiangyang Lin, Jun Yang|2023|J.Org.Chem.|88|4301|doi:10.1021/acs.joc.2c02879
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.cc26bp9k
title: CCDC 2036058: Experimental Crystal Structure Determination

description: Related Article: Yupeng Cao, Haifeng Huang, Limin Wang, Xiangyang Lin, Jun Yang|2023|J.Org.Chem.|88|4301|doi:10.1021/acs.joc.2c02879
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.cc26rh6p
title: CCDC 2048362: Experimental Crystal Structure Determination

description: Related Article: Yupeng Cao, Haifeng Huang, Limin Wang, Xiangyang Lin, Jun Yang|2023|J.Org.Chem.|88|4301|doi:10.1021/acs.joc.2c02879
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: 10.13140/rg.2.2.19020.90249
title: 661D5251-B94F-46B4-909F-9AA59B47B301
DOI: 10.5517/ccdc.csd.cc29l4y0
title: CCDC 2132612: Experimental Crystal Structure Determination

description: Related Article: Si-Jun Xie, Rong-Kai Wu, Yi-Fei Huang, Hao-Lin Chen, Shuo-Qing Zhang, Feng Liu, Dan-Dan Zhai, Xin Hong, Zhang-Jie Shi|2023|J.Am.Chem.Soc.|145|6773|doi:10.1021/jacs.2c13086
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.cc2b8jgm
title: CCDC 2153150: Experimental Crystal Structure Determination

description: Related Article: Shixian Cao, Xiaoyuan Tian, Mingyue Cao, Jianguo Wang, Guangle Niu, Ben Zhong Tang|2023|Chem.Mater.|35|2472|doi:10.1021/acs.chemmater.2c03684
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.cc2b73h6
title: CCDC 2151787: Experimental Crystal Structure Determination

description: Related Article: Shixian Cao, Xiaoyuan Tian, Mingyue Cao, Jianguo Wang, Guangle Niu, Ben Zhong Tang|2023|Chem.Mater.|35|2472|doi:10.1021/acs.chemmater.2c03684
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.cc2b8jhn
title: CCDC 2153151: Experimental Crystal Structure Determination

description: Related Article: Shixian Cao, Xiaoyuan Tian, Mingyue Cao, Jianguo Wang, Guangle Niu, Ben Zhong Tang|2023|Chem.Mater.|35|2472|doi:10.1021/acs.chemmater.2c03684
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.cc2b73j7
title: CCDC 2151788: Experimental Crystal Structure Determination

description: Related Article: Shixian Cao, Xiaoyuan Tian, Mingyue Cao, Jianguo Wang, Guangle Niu, Ben Zhong Tang|2023|Chem.Mater.|35|2472|doi:10.1021/acs.chemmater.2c03684
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.cc2b722r
title: CCDC 2151743: Experimental Crystal Structure Determination

description: Related Article: Shixian Cao, Xiaoyuan Tian, Mingyue Cao, Jianguo Wang, Guangle Niu, Ben Zhong Tang|2023|Chem.Mater.|35|2472|doi:10.1021/acs.chemmater.2c03684
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.cc2b73f4
title: CCDC 2151785: Experimental Crystal Structure Determination

description: Related Article: Shixian Cao, Xiaoyuan Tian, Mingyue Cao, Jianguo Wang, Guangle Niu, Ben Zhong Tang|2023|Chem.Mater.|35|2472|doi:10.1021/acs.chemmater.2c03684
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: 10.6084/m9.figshare.22584733
title: Replication Files for Tropical Economics (Hsiang & Meng 2015)

description: Replication package for "Tropical Economics" by Hsiang & Meng (2015), published in the American Economic Review.
DOI: 10.6084/m9.figshare.22584733.v2
title: Replication Files for Tropical Economics (Hsiang & Meng 2015)

description: Replication package for "Tropical Economics" by Hsiang & Meng (2015), published in the American Economic Review.
DOI: 10.6084/m9.figshare.22584733.v1
title: Replication Files for Tropical Economics (Hsiang & Meng 2015)

description: Replication package for "Tropical Economics" by Hsiang & Meng (2015), published in the American Economic Review.
DOI: 10.5281/zenodo.7816008
title: TrafficDataSets

description: Datasets for PeMSD3, PeMSD4, PeMSD7, and PeMSD8
DOI: 10.5281/zenodo.7816007
title: TrafficDataSets

description: Datasets for PeMSD3, PeMSD4, PeMSD7, and PeMSD8
DOI: 10.5281/zenodo.7714497
title: Deep Learning for Microfluidic Assisted Caenorhabditis elegans Multi-parameter Identification Using YOLOv7

description: The effectiveness of deep learning model relies on a large number of labeled image datasets. We have collected a dataset of 3373 worm images from microfluidic devices in various studies as datasets. Then, the datasets were labeled for training methods. The acquired videos were continuously intercepted at 10-frame intervals to capture cropped worm images. Totally 3931 images were extract. Worms in each image were manually annotated using LabelImg. This VOC-format annotation tool generated Extensible Markup Language (XML) files for the model. There were 2426 labels for the WT category and 1505 for the GFP category.
DOI: 10.5281/zenodo.7714496
title: Deep Learning for Microfluidic Assisted Caenorhabditis elegans Multi-parameter Identification Using YOLOv7

description: The effectiveness of deep learning model relies on a large number of labeled image datasets. We have collected a dataset of 3373 worm images from microfluidic devices in various studies as datasets. Then, the datasets were labeled for training methods. The acquired videos were continuously intercepted at 10-frame intervals to capture cropped worm images. Totally 3931 images were extract. Worms in each image were manually annotated using LabelImg. This VOC-format annotation tool generated Extensible Markup Language (XML) files for the model. There were 2426 labels for the WT category and 1505 for the GFP category.
DOI: 10.34740/kaggle/dsv/5349643
title: CerraData version 3
DOI: 10.25901/n1f2-0983
title: Karawatha Peri-Urban Site, Koala Presence Survey, Karawatha Forest Park, 2009-2010
DOI: 10.25901/wyhe-j528
title: Robson Creek, Invertebrate Fauna Survey, Far North Queensland Rainforest Site, 25 Ha Plot, 2013
DOI: 10.5281/zenodo.7799976
title: A laboratory-scale simulation framework for analyzing wildfire hydrologic and water quality effects

description: Datasets containing information on experimental conditions for each tested soil sample, measured hydrologic and water quality responses, and calculated response metrics.
DOI: 10.5281/zenodo.7799975
title: A laboratory-scale simulation framework for analyzing wildfire hydrologic and water quality effects

description: Datasets containing information on experimental conditions for each tested soil sample, measured hydrologic and water quality responses, and calculated response metrics.
DOI: 10.34740/kaggle/dsv/5367524
title: Broken Eggs
DOI: 10.5517/ccdc.csd.cc2d16wk
title: CCDC 2205708: Experimental Crystal Structure Determination

description: Related Article: Arijit Ghosh, Goraksha T. Sapkal, Amit B. Pawar|2023|J.Org.Chem.|88|4704|doi:10.1021/acs.joc.3c00175
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.cc2dgflx
title: CCDC 2218409: Experimental Crystal Structure Determination

description: Related Article: Si-Jun Xie, Rong-Kai Wu, Yi-Fei Huang, Hao-Lin Chen, Shuo-Qing Zhang, Feng Liu, Dan-Dan Zhai, Xin Hong, Zhang-Jie Shi|2023|J.Am.Chem.Soc.|145|6773|doi:10.1021/jacs.2c13086
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.cc2dgfnz
title: CCDC 2218411: Experimental Crystal Structure Determination

description: Related Article: Si-Jun Xie, Rong-Kai Wu, Yi-Fei Huang, Hao-Lin Chen, Shuo-Qing Zhang, Feng Liu, Dan-Dan Zhai, Xin Hong, Zhang-Jie Shi|2023|J.Am.Chem.Soc.|145|6773|doi:10.1021/jacs.2c13086
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.cc2dmwzx
title: CCDC 2223660: Experimental Crystal Structure Determination

description: Related Article: Si-Jun Xie, Rong-Kai Wu, Yi-Fei Huang, Hao-Lin Chen, Shuo-Qing Zhang, Feng Liu, Dan-Dan Zhai, Xin Hong, Zhang-Jie Shi|2023|J.Am.Chem.Soc.|145|6773|doi:10.1021/jacs.2c13086
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.cc2f0b4y
title: CCDC 2234639: Experimental Crystal Structure Determination

description: Related Article: Zhu-Bao Yin, Botao Wu, Gao-Xiang Wang, Junnian Wei, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|7065|doi:10.1021/jacs.3c00266
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.cc2f0b5z
title: CCDC 2234640: Experimental Crystal Structure Determination

description: Related Article: Zhu-Bao Yin, Botao Wu, Gao-Xiang Wang, Junnian Wei, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|7065|doi:10.1021/jacs.3c00266
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.