cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1ysc36
title: CCDC 1810868: Experimental Crystal Structure Determination

description: Related Article: Hai Yu Wang, Shuang Liu, Chen Fu, Hong Zhang|2019|CrystEngComm|21|1635|doi:10.1039/C8CE01948G
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.cc20h20m
title: CCDC 1861519: Experimental Crystal Structure Determination

description: Related Article: Lina Jia, Yang Yu, Mengwei Wang, Hanzhi Ouyang, Junbo Gong|2019|CrystEngComm|21|1617|doi:10.1039/C8CE01848K
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.cc21b03j
title: CCDC 1886446: Experimental Crystal Structure Determination

description: Related Article: Antonio J. Martínez-Martínez, Andrew S. Weller|2019|Dalton Trans.|48|3551|doi:10.1039/C9DT00235A
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.cc21b04k
title: CCDC 1886447: Experimental Crystal Structure Determination

description: Related Article: Antonio J. Martínez-Martínez, Andrew S. Weller|2019|Dalton Trans.|48|3551|doi:10.1039/C9DT00235A
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.cc21b7k6
title: CCDC 1886677: Experimental Crystal Structure Determination

description: Related Article: Shinji Kondou, Morgan L. Thomas, Toshihiko Mandai, Kazuhide Ueno, Kaoru Dokko, Masayoshi Watanabe|2019|Phys.Chem.Chem.Phys.(PCCP)|21|5097|doi:10.1039/C9CP00425D
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.cc21br8f
title: CCDC 1887164: Experimental Crystal Structure Determination

description: Related Article: Subramanian Jambu, Ramakrishnan Sivasakthikumaran, Masilamani Jeganmohan|2019|Org.Lett.|21|1320|doi:10.1021/acs.orglett.8b04140
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.cc21c97z
title: CCDC 1887690: Experimental Crystal Structure Determination

description: Related Article: Yamin Li, Hailou Li, Jun Jiang, Lijuan Chen, Junwei Zhao|2019|Inorg.Chem.|58|3479|doi:10.1021/acs.inorgchem.9b00004
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: 10.17632/8wxhjn6b8s.1
title: Data for: Spatiotemporal diversification of projectile point types in western North America over 13,000 years

description: Projectile point types and spatial extents in western North America over 13,000 years.
DOI: 10.17632/vbsbjpjwjc.1
title: Data for: Spatiotemporal diversification of projectile point types in western North America over 13,000 years

description: Shapefiles of the spatial extent of projectile point types in western North America
DOI: 10.17632/ynhrm7mfrn.1
title: Data for: Fire assay and cupellation at the late medieval Porto Mint, Portugal: a technological study

description: Raw data on the chemical analysis on archaeological cupels in the Porto Mint
DOI: 10.5517/ccdc.csd.cc21c980
title: CCDC 1887691: Experimental Crystal Structure Determination

description: Related Article: Yamin Li, Hailou Li, Jun Jiang, Lijuan Chen, Junwei Zhao|2019|Inorg.Chem.|58|3479|doi:10.1021/acs.inorgchem.9b00004
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: 10.7303/syn11761198.4
title: SignatureAnalyzer_COMPOSITE_SNV.activity.no_POLE_MSI_SKIN_TMZ.031918.txt
DOI: 10.18112/openneuro.ds001748.v1.0.2
title: Differentiation of functional networks during long-term memory retrieval in children and adolescents
DOI: 10.3886/e108362v10-10542
title: Patent Citations to Science

description: These files contain citations from U.S. patents 1926-2018 to articles in the Microsoft Academic Graph from 1800-2018. Please cite<br><br>Marx, M. and A. Fuegi, "Reliance on Science in Patenting."<br><br>available in this distribution as reliance_on_science.pdf and also at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686.<br><br>These data make use of and redistribute portions of the Microsoft Academic Graph. Please see https://www.microsoft.com/en-us/research/project/academic/ for details about the Microsoft Academic Graph (MAG), which is provided under an ODC-BY license (https://opendatacommons.org/licenses/by/1-0/index.html). Academic papers making use of the MAG data should cite the following paper: <br><br>Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MA) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA, 243-246.<br><br><br>
DOI: 10.7910/dvn/utcxcd
title: Red Tea Detox Belly Fat Burning Drink For Weight Loss at $17

description: Product Name:Red Tea Detox  Author Name:Liz Swann Miller Bonus: Yes Official Website:CLICK HERE  Add to Cart - Buy only on $17 ($20 OFF) - Click Here The Red Tea Detoxis a brand-new cleansing program that detoxifies the body and sheds poundsquicklyandsafely. It allows almost anyone to lose 14lbs in just a matter of weeks. Based on more than a decade of research spanning over500 medical studiesas well as almostthree yearsof real-world testing, this program has the results – and the science – to back it up. Liz Swann Miller, creator of The Red Tea Detox, is a six-time best-selling author with over 10 years of experience as a practicing Naturopath (ND). She discovered the unique recipe for this energizing tea, the foundation of the program, during her travels deep into the heart of Africa. And best of all, the ingredients are so common they can be found in virtually any store. Reproduced here for the first time in the Western world,The Red Tea Detoxpasses on the recipe for this incredible tea in the form of a fully digital product, making it available to customers instantaneously. This comprehensive book is broken down into three different sections: Diet:This portion ofThe Red Tea Detoxoutlines the importance of detoxifying the body before weight loss efforts, why toxins can hold your metabolism back, and the overall benefits of a red tea-cleansed system for both the body and mind. What’s more, it outlines in detail which energy-rich foods can help you burn fat faster than ever before. Exercise:The exercise section is designed to complement the diet portion of The Red Tea Detox. It consists of a variety of supercharged exercises that will help melt body fat rapidly. Coupled with the metabolism-boosting diet, these quick and effective routines have the potential to almost double the weight loss results. Willpower, Motivation, and Mindset:This third section delves into some of the most common myths about willpower and how truly understanding the underlying realities of motivation can revolutionize your weight loss – and your life. It’s a vital part of this program that has helped many to lose weight fast and keep it offfor good. These three elements combined create one of the most comprehensive and easy-to-use detoxification programs to date. People all over the world are already using it to lose weight quickly and easily while living a healthier and happier life along the way.
DOI: 10.18112/openneuro.ds001748.v1.0.3
title: Differentiation of functional networks during long-term memory retrieval in children and adolescents
DOI: 10.17632/hv7mxpct6f.3
title: Data for: Accuracy and Confidence in Perceptions of Targets’ Attachment to Former Partners: Do Judges Vary as a Function of Individual Differences in Attachment Style?

description: Dataset used in this study of judges' perceptions of targets' attachment to former partners
DOI: 10.5281/zenodo.2567267
title: Maven 99 most popular library statical usages

description: A SQL database containing the static usages of API elements of any version of the 99 most used maven artifact, by any of it client on maven central.
DOI: 10.5281/zenodo.2567268
title: Maven 99 most popular library statical usages

description: A SQL database containing the static usages of API elements of any version of the 99 most used maven artifact, by any of it client on maven central.
DOI: 10.21227/dar8-tg71
title: Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

description: The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications among them are automatic harvesting and visual yield estimation. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations that represent the challenges occurs in a natural environment and date fruit orchards. This variation in images includes different angels and scales, different daylight conditions having poor illumination images, and date fruits covered by bags. The dataset was fully labeled according to type, maturity, and harvesting decision. We can use this dataset in many applications including fruit detection, segmentation, classification, maturity analysis, and automatic harvesting. The second dataset contains images, videos, and weight measurements to help in many applications such as yield estimation. In this dataset, we marked date bunches for selected palms, recorded 360° video for each palm, and measured their data (height, trunk circumference, total yield, number of bunches, and weight of bunches). We also captured images of each bunch from different angles before harvesting and on a graph paper after harvesting. Both datasets have been arranged with a coding scheme to simplify referring, linking, and facilitating future extensions of the dataset.
DOI: 10.7303/syn11738669.5
title: PCAWG_sigProfiler_SBS_signatures_in_samples.csv
DOI: 10.26186/5c6a2d207717f
title: Geophysics - Geomagnetics

description: Calibrated time-series data are acquired from Geoscience Australia's geomagnetic observatory
network in Australia and Antarctica. Indices of geomagnetic activity are derived from these time
series. These primary and derived data are provided to international data centres and agencies, space weather analysts, the resource exploration sector, and research institutions. They are used in navigation, magnetic-field modelling, resource exploration and exploitation, space weather monitoring and geoscience research.
DOI: 10.5281/zenodo.2567565
title: Data Structure of Clinical Research

description: <em>Bro</em><em>nchial asthma is one of the most common respiratory pathologies in children, characterized by rising incidence around the world. Early disease onset, severe clinical signs of bronchial asthma, the ineffectiveness of high doses of hormone therapy reduce the quality of life in patients and lead to disability. Analysis of bronchial asthma heterogeneity is now possible in virtue of computer technology and big data processing onrush.</em>

<em>The information on 70 children suffering from bronchial asthma and 20 children from the control group was analyzed in this study.</em>

<em>Gender, age, duration of disease, associated diseases, family history of allergic diseases, clinical blood and urine test, spirography and blood immunoassay results, total IgE, thymic stromal lymphopoietin and results of skin allergy tests were taken into account.</em>
description: {"references": ["1.\tGlobal_Atlas_of_Asthma. (2013).196. www.eaaci.org", "2.\tHafkamp-de Groen E, Lingsma HF, Caudri D, Levie D, Wijga A, Koppelman GH, et al. Predicting asthma in preschool children with asthma-like symptoms: validating and updating the PIAMA risk score. J Allergy Clin Immunol. 2013;132(6):1303\u20131310.", "3.\tO'Byrne PM, Pedersen S, Lamm CJ, Tan WC, Busse WW. Severe exacerbations and decline in lung function in asthma. Am J Respir Crit Care Med. 2009;179(1):19\u201324.", "4.\tFitzpatrick AM, Teague WG. Severe Asthma in Children: Insights from the National Heart, Lung, and Blood Institute's Severe Asthma Research Program. Pediatr Allergy Immunol Pulmonol. 2010; 23(2):131-8."]}
DOI: 10.5281/zenodo.2567566
title: Data Structure of Clinical Research

description: <em>Bro</em><em>nchial asthma is one of the most common respiratory pathologies in children, characterized by rising incidence around the world. Early disease onset, severe clinical signs of bronchial asthma, the ineffectiveness of high doses of hormone therapy reduce the quality of life in patients and lead to disability. Analysis of bronchial asthma heterogeneity is now possible in virtue of computer technology and big data processing onrush.</em>

<em>The information on 70 children suffering from bronchial asthma and 20 children from the control group was analyzed in this study.</em>

<em>Gender, age, duration of disease, associated diseases, family history of allergic diseases, clinical blood and urine test, spirography and blood immunoassay results, total IgE, thymic stromal lymphopoietin and results of skin allergy tests were taken into account.</em>
description: {"references": ["1.\tGlobal_Atlas_of_Asthma. (2013).196. www.eaaci.org", "2.\tHafkamp-de Groen E, Lingsma HF, Caudri D, Levie D, Wijga A, Koppelman GH, et al. Predicting asthma in preschool children with asthma-like symptoms: validating and updating the PIAMA risk score. J Allergy Clin Immunol. 2013;132(6):1303\u20131310.", "3.\tO'Byrne PM, Pedersen S, Lamm CJ, Tan WC, Busse WW. Severe exacerbations and decline in lung function in asthma. Am J Respir Crit Care Med. 2009;179(1):19\u201324.", "4.\tFitzpatrick AM, Teague WG. Severe Asthma in Children: Insights from the National Heart, Lung, and Blood Institute's Severe Asthma Research Program. Pediatr Allergy Immunol Pulmonol. 2010; 23(2):131-8."]}
DOI: 10.17632/4t7f8n3n38.6
title: Data for: Corrosion behavior and biological activity of micro-arc oxidation coating with puerarin on pure magnesium surface

description: The data cantains Surface morphologies of coatings，XPS data，FTIR spectra data and corrosion behavior data.
DOI: 10.5281/zenodo.2567646
title: Data and scripts for the paper

description: These files were used to calculate the model effect and select candidate comitters for the paper.

The folder `calculate-model-effect` contains the MySQL database and the Python script for each metric.<br>
In the MySQL database, there are the following tables:<br>
1. scmlog (the basic information of the commits)<br>
2. files<br>
3. hash_file (the hash of commits and their modified files)<br>
4. sign (signed-off-by of commits)<br>
5. review (reviewed-by of commits)<br>
6. test (tested-by of commits)<br>
7. ack (acked-by of commits)<br>
8. maintainers (created using the file MAINTAINERS in the Linux kernel repository)<br>
9. signer_maintainer<br>
10. i915-committer-no-maintainer

The folder `select-candidate-committers` contains the data and the C++ script for selecting candidate committers for the subsystems.<br>
Run `main.cpp` to get the results
DOI: 10.15468/y7hrzc
title: Harvard University Herbaria: Hepatics

description: This dataset contains all digitized hepatic specimen records stewarded by the Harvard University Herbaria. The Harvard University Herbaria, with over 5 million specimens, is the world’s largest University Herbaria. Included in the Herbaria are what were once six separate herbarium collections: * Herbarium of the Arnold Arboretum (A) * Economic Herbarium of Oakes Ames (ECON) * Oakes Ames Orchid Herbarium (AMES) * Farlow Herbarium (FH) * Gray Herbarium (GH) * New England Botanical Club Herbarium (NEBC). DarwinCore data follows the AppleCore guidance https://code.google.com/p/applecore/.
DOI: 10.5281/zenodo.2567645
title: Data and scripts for the paper

description: These files were used to calculate the model effect and select candidate committers for the paper.

The folder `calculate-model-effect` contains the MySQL database and the Python script for each metric.<br>
In the MySQL database, there are the following tables:<br>
1. scmlog (the basic information of the commits)<br>
2. files<br>
3. hash_file (the hash of commits and their modified files)<br>
4. sign (signed-off-by of commits)<br>
5. review (reviewed-by of commits)<br>
6. test (tested-by of commits)<br>
7. ack (acked-by of commits)<br>
8. maintainers (created using the file MAINTAINERS in the Linux kernel repository)<br>
9. signer_maintainer<br>
10. i915-committer-no-maintainer

The folder `select-candidate-committers` contains the data and the C++ script for selecting candidate committers for the subsystems.<br>
First, run `gen.cpp` to build the collaboration network of the contributors for each potential subsystem.

Then, run `main.cpp` to get the list of the candidate committers.
DOI: 10.15468/hxrma6
title: Harvard University Herbaria: Mosses

description: This dataset contains all digitized moss specimen records stewarded by the Harvard University Herbaria. The Harvard University Herbaria, with over 5 million specimens, is the world’s largest University Herbaria. Included in the Herbaria are what were once six separate herbarium collections: * Herbarium of the Arnold Arboretum (A) * Economic Herbarium of Oakes Ames (ECON) * Oakes Ames Orchid Herbarium (AMES) * Farlow Herbarium (FH) * Gray Herbarium (GH) * New England Botanical Club Herbarium (NEBC). DarwinCore data follows the AppleCore guidance https://code.google.com/p/applecore/.
DOI: 10.15468/p1delr
title: Harvard University Herbaria: Monera

description: This dataset contains all digitized monera specimen records stewarded by the Harvard University Herbaria. The Harvard University Herbaria, with over 5 million specimens, is the world’s largest University Herbaria. Included in the Herbaria are what were once six separate herbarium collections: * Herbarium of the Arnold Arboretum (A) * Economic Herbarium of Oakes Ames (ECON) * Oakes Ames Orchid Herbarium (AMES) * Farlow Herbarium (FH) * Gray Herbarium (GH) * New England Botanical Club Herbarium (NEBC). DarwinCore data follows the AppleCore guidance https://code.google.com/p/applecore/.
DOI: 10.15468/p9ytba
title: Harvard University Herbaria: Fungi and Lichens

description: This dataset contains all digitized fungi and lichen specimen records stewarded by the Harvard University Herbaria. The Harvard University Herbaria, with over 5 million specimens, is the world’s largest University Herbaria. Included in the Herbaria are what were once six separate herbarium collections: * Herbarium of the Arnold Arboretum (A) * Economic Herbarium of Oakes Ames (ECON) * Oakes Ames Orchid Herbarium (AMES) * Farlow Herbarium (FH) * Gray Herbarium (GH) * New England Botanical Club Herbarium (NEBC). DarwinCore data follows the AppleCore guidance https://code.google.com/p/applecore/.
DOI: 10.5281/zenodo.2567662
title: Data and scripts for the paper

description: These files were used to calculate the model effect and select candidate committers for the paper.

The folder `calculate-model-effect` contains the MySQL database and the Python script for each metric.<br>
In the MySQL database, there are the following tables:<br>
1. scmlog (the basic information of the commits)<br>
2. files<br>
3. hash_file (the hash of commits and their modified files)<br>
4. sign (signed-off-by of commits)<br>
5. review (reviewed-by of commits)<br>
6. test (tested-by of commits)<br>
7. ack (acked-by of commits)<br>
8. maintainers (created using the file MAINTAINERS in the Linux kernel repository)<br>
9. signer_maintainer<br>
10. i915-committer-no-maintainer

The folder `select-candidate-committers` contains the data and the C++ script for selecting candidate committers for the subsystems.<br>
First, run `gen.cpp` to build the collaboration network of the contributors for each potential subsystem.

Then, run `main.cpp` to get the list of the candidate committers.
DOI: 10.5517/ccdc.csd.cc21c991
title: CCDC 1887692: Experimental Crystal Structure Determination

description: Related Article: Yamin Li, Hailou Li, Jun Jiang, Lijuan Chen, Junwei Zhao|2019|Inorg.Chem.|58|3479|doi:10.1021/acs.inorgchem.9b00004
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.cc21c9b2
title: CCDC 1887693: Experimental Crystal Structure Determination

description: Related Article: Yamin Li, Hailou Li, Jun Jiang, Lijuan Chen, Junwei Zhao|2019|Inorg.Chem.|58|3479|doi:10.1021/acs.inorgchem.9b00004
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.cc21c9c3
title: CCDC 1887694: Experimental Crystal Structure Determination

description: Related Article: Yamin Li, Hailou Li, Jun Jiang, Lijuan Chen, Junwei Zhao|2019|Inorg.Chem.|58|3479|doi:10.1021/acs.inorgchem.9b00004
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.