cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2gvspt
title: CCDC 2289867: Experimental Crystal Structure Determination

description: Related Article: Qing Jiang, Yi Han, Ya Zou, Chunyan Chi|2023|J.Mater.Chem.C|11|15160|doi:10.1039/D3TC02432F
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.cc2h17kc
title: CCDC 2295102: Experimental Crystal Structure Determination

description: Related Article: Shuo Meng, Zhijie Xu, Tong Cao, Yu Xin, Yuxiang Chen, Chunyan Wang, Zhen Zhou, Hui Liu, Daopeng Zhang|2024|J.Mol.Struct.|1296|136897|doi:10.1016/j.molstruc.2023.136897
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.cc2gr9j2
title: CCDC 2286514: Experimental Crystal Structure Determination

description: Related Article: Dennis Rottschäfer, Anna Pachkovska, Xiulan Xie, Kai Oberdorf, Sascha Reith, Andreas Stoy, Crispin Lichtenberg|2023|Inorg.Chem.|62|18228|doi:10.1021/acs.inorgchem.3c02802
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.cc2gr9n6
title: CCDC 2286518: Experimental Crystal Structure Determination

description: Related Article: Dennis Rottschäfer, Anna Pachkovska, Xiulan Xie, Kai Oberdorf, Sascha Reith, Andreas Stoy, Crispin Lichtenberg|2023|Inorg.Chem.|62|18228|doi:10.1021/acs.inorgchem.3c02802
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.cc2gr9p7
title: CCDC 2286519: Experimental Crystal Structure Determination

description: Related Article: Dennis Rottschäfer, Anna Pachkovska, Xiulan Xie, Kai Oberdorf, Sascha Reith, Andreas Stoy, Crispin Lichtenberg|2023|Inorg.Chem.|62|18228|doi:10.1021/acs.inorgchem.3c02802
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.cc2gr9q8
title: CCDC 2286520: Experimental Crystal Structure Determination

description: Related Article: Dennis Rottschäfer, Anna Pachkovska, Xiulan Xie, Kai Oberdorf, Sascha Reith, Andreas Stoy, Crispin Lichtenberg|2023|Inorg.Chem.|62|18228|doi:10.1021/acs.inorgchem.3c02802
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.cc2h29vr
title: CCDC 2296134: Experimental Crystal Structure Determination

description: Related Article: Haina Zhang, Lingyu Wang, Wenjing Guo, Hu Cai, Zhenhong Wei|2023|Chem.Commun.|59|13442|doi:10.1039/D3CC04700H
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: 10.5281/zenodo.10140423
title: Simulation data-set for ApJ Article: "Confinement of the Solar Tachocline by a Non-Axisymmetric Dynamo"

description: This dataset contains the input files (including a last Checkpoint snapshot, so the simulation can be restarted), and basic simulation information (Rayleigh data products, time-averaged data products, and basic plots) for each of the 12 simulations discussed in the ApJ journal article,  "Confinement of the Solar Tachocline by a Non-Axisymmetric Dynamo". Each simulation has a separate .zip file that can be downloaded either on its own or together with the rest of the simulation suite. The structure and contents of the resulting directory (after unzipping) is described in detail in the "README" .pdf document. 
Note that the magnetic cases have custom diagnostic outputs and the main_input file (as directly given here) must be run using Loren Matilsky's personal branch of the code: https://github.com/illorenzo7/Rayleigh/tree/meprodsubcurvnobinrz. Otherwise, the MHD cases can be run with the current main branch of the Rayleigh code (https://github.com/geodynamics/Rayleigh), as long as some small modifications to the main_input file (described in the "README" document) are made first.
DOI: 10.5281/zenodo.10140424
title: Simulation data-set for ApJ Article: "Confinement of the Solar Tachocline by a Non-Axisymmetric Dynamo"

description: This dataset contains the input files (including a last Checkpoint snapshot, so the simulation can be restarted), and basic simulation information (Rayleigh data products, time-averaged data products, and basic plots) for each of the 12 simulations discussed in the ApJ journal article,  "Confinement of the Solar Tachocline by a Non-Axisymmetric Dynamo". Each simulation has a separate .zip file that can be downloaded either on its own or together with the rest of the simulation suite. The structure and contents of the resulting directory (after unzipping) is described in detail in the "README" .pdf document. 
Note that the magnetic cases have custom diagnostic outputs and the main_input file (as directly given here) must be run using Loren Matilsky's personal branch of the code: https://github.com/illorenzo7/Rayleigh/tree/meprodsubcurvnobinrz. Otherwise, the MHD cases can be run with the current main branch of the Rayleigh code (https://github.com/geodynamics/Rayleigh), as long as some small modifications to the main_input file (described in the "README" document) are made first.
DOI: 10.5281/zenodo.7580630
title: kirschbombe/fmmo: Functional Model for Manuscript Objects

description: Functional Model for Manuscript Objects A data model and object relationship ontology for representing complexity in early manuscripts, including composite manuscripts, palimpsests, disjecta membra, fragments, etc.
DOI: 10.25573/data.21422193.v11
title: BHL Optical Character Recognition (OCR) - Full Text Export (new)

description: The dataset contains a full export of the 60+ million pages of OCR content in the Biodiversity Heritage Library, for items hosted by BHL. For contextual information and key definitions about this dataset see the <strong>Biodiversity Heritage Library Open Data Collection</strong> and the data dictionary below. <strong>Data Dictionary: </strong>s.si.edu/bhlocrtxt <strong>Release Date: </strong>the 17th of each month <strong>Frequency: </strong>Monthly <strong>bureauCode:</strong> 452:11 <strong>Access Level:</strong> public
DOI: 10.34740/kaggle/dsv/6992354
title: BBC News
DOI: 10.34740/kaggle/dsv/6992357
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.10073711
title: Single-cell RNA-seq dataset and code for human colorectal cancer liver metastasis study
DOI: 10.5281/zenodo.10073712
title: Single-cell RNA-seq dataset and code for human colorectal cancer liver metastasis study
DOI: 10.34740/kaggle/dsv/6992025
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5281/zenodo.10152736
title: Rates of Vertical Land Motion (VLM) on Tutuila Island, American Samoa (December 3, 2015 to August 16, 2022)

description: [Version 4] Latest version, updated to fix errors that were found in the vlm.mat data file.
VLM rates across Tutuila Island from December 5, 2015 to August 16, 2022, derived using a redundant multi-primary variant of the PS-InSAR technique. Dataset associated with the published version of the publication "Mapping Vertical Land Motion in Challenging Terrain: Six-Year Trends on Tutuila Island, American Samoa, With PS-InSAR, GPS, Tide Gauge, and Satellite Altimetry Data" by S. A. Huang, J. M. Sauber, and R. Ray. Available at https://doi.org/10.1029/2022GL101363.
ampl.mat: Amplitude backscatter averaged from all scenes, multilooked for speckle reduction and resampled to the dataset size. Normalized to 1.
latvals.mat: Latitude vector associated with the dataset.
lonvals.mat: Longitude vector associated with the dataset.
plot_ps_data.m: Matlab script to visualize the data included in all the *.mat files. Requires Computer Vision Toolbox.
vlm.mat: Computed VLM rates across Tutuila Island [mm/yr]. All non-PS have an "NaN" value.
vlm_se.mat: Standard error of VLM across Tutuila Island [mm/yr]. All non-PS have an "NaN" value.
DOI: 10.5281/zenodo.7324000
title: Rates of Vertical Land Motion (VLM) on Tutuila Island, American Samoa (December 3, 2015 to August 16, 2022)

description: [Version 2] Latest version VLM rates across Tutuila Island from December 5, 2015 to August 16, 2022, derived using a redundant multi-primary variant of the PS-InSAR technique. Dataset associated with the published version of the publication "Mapping Vertical Land Motion in Challenging Terrain: Six-Year Trends on Tutuila Island, American Samoa, With PS-InSAR, GPS, Tide Gauge, and Satellite Altimetry Data" by S. A. Huang, J. M. Sauber, and R. Ray. Available at https://doi.org/10.1029/2022GL101363. ampl.mat: Amplitude backscatter averaged from all scenes, multilooked for speckle reduction and resampled to the dataset size. Normalized to 1. latvals.mat: Latitude vector associated with the dataset. lonvals.mat: Longitude vector associated with the dataset. vlm.mat: Computed VLM rates across Tutuila Island [mm/yr]. All non-PS have an "NaN" value. vlm_se.mat: Standard error of VLM across Tutuila Island [mm/yr]. All non-PS have an "NaN" value.
DOI: 10.5281/zenodo.7106038
title: Rates of Vertical Land Motion (VLM) on Tutuila Island, American Samoa (December 3, 2015 to August 16, 2022)

description: [Version 4] Latest version, updated to fix errors that were found in the vlm.mat data file.
VLM rates across Tutuila Island from December 5, 2015 to August 16, 2022, derived using a redundant multi-primary variant of the PS-InSAR technique. Dataset associated with the published version of the publication "Mapping Vertical Land Motion in Challenging Terrain: Six-Year Trends on Tutuila Island, American Samoa, With PS-InSAR, GPS, Tide Gauge, and Satellite Altimetry Data" by S. A. Huang, J. M. Sauber, and R. Ray. Available at https://doi.org/10.1029/2022GL101363.
ampl.mat: Amplitude backscatter averaged from all scenes, multilooked for speckle reduction and resampled to the dataset size. Normalized to 1.
latvals.mat: Latitude vector associated with the dataset.
lonvals.mat: Longitude vector associated with the dataset.
plot_ps_data.m: Matlab script to visualize the data included in all the *.mat files. Requires Computer Vision Toolbox.
vlm.mat: Computed VLM rates across Tutuila Island [mm/yr]. All non-PS have an "NaN" value.
vlm_se.mat: Standard error of VLM across Tutuila Island [mm/yr]. All non-PS have an "NaN" value.
DOI: 10.5281/zenodo.7106039
title: Rates of Vertical Land Motion (VLM) on Tutuila Island, American Samoa (December 3, 2015 to August 16, 2022)

description: [Version 1] *For the latest version, please refer to the DOI 10.5281/zenodo.7948914.* VLM rates across Tutuila Island from December 5, 2015 to August 16, 2022, derived using a redundant multi-primary variant of the PS-InSAR technique. Dataset associated with the submitted version of the publication "Mapping Vertical Land Motion in Challenging Terrain: Six-Year Trends on Tutuila Island, American Samoa, With PS-InSAR, GPS, Tide Gauge, and Satellite Altimetry Data" by S. A. Huang, J. M. Sauber, and R. Ray. Available at https://doi.org/10.1029/2022GL101363. ampl.mat: Amplitude backscatter averaged from all scenes, multilooked for speckle reduction and resampled to the dataset size. latvals.mat: Latitude vector associated with the dataset. lonvals.mat: Longitude vector associated with the dataset. vlm_avg.mat: Average VLM across Tutuila Island. All non-PS have an "NaN" value. vlm_stdev.mat: Standard deviation of VLM across Tutuila Island. All non-PS have an "NaN" value.
DOI: 10.5281/zenodo.7948914
title: Rates of Vertical Land Motion (VLM) on Tutuila Island, American Samoa (December 3, 2015 to August 16, 2022)

description: [Version 3] Latest version, updated to include Matlab plotting script for data. VLM rates across Tutuila Island from December 5, 2015 to August 16, 2022, derived using a redundant multi-primary variant of the PS-InSAR technique. Dataset associated with the published version of the publication "Mapping Vertical Land Motion in Challenging Terrain: Six-Year Trends on Tutuila Island, American Samoa, With PS-InSAR, GPS, Tide Gauge, and Satellite Altimetry Data" by S. A. Huang, J. M. Sauber, and R. Ray. Available at https://doi.org/10.1029/2022GL101363. ampl.mat: Amplitude backscatter averaged from all scenes, multilooked for speckle reduction and resampled to the dataset size. Normalized to 1. latvals.mat: Latitude vector associated with the dataset. lonvals.mat: Longitude vector associated with the dataset. plot_ps_data.m: Matlab script to visualize the data included in all the *.mat files. Requires Computer Vision Toolbox. vlm.mat: Computed VLM rates across Tutuila Island [mm/yr]. All non-PS have an "NaN" value. vlm_se.mat: Standard error of VLM across Tutuila Island [mm/yr]. All non-PS have an "NaN" value.
DOI: 10.6084/m9.figshare.24585429
title: 心臓リハビリテーション実施における臨床現場の負担に関する実態調査.pptx

description: I investigated the clinical burden of early mobilization in cardiac rehabilitation.This study is a cross-sectional research.In cardiac rehabilitation, the clinical burden involves the allocation of time and personnel for information sharing with other professions and the management of devices.
DOI: 10.6084/m9.figshare.24585429.v1
title: 心臓リハビリテーション実施における臨床現場の負担に関する実態調査.pptx

description: I investigated the clinical burden of early mobilization in cardiac rehabilitation.This study is a cross-sectional research.In cardiac rehabilitation, the clinical burden involves the allocation of time and personnel for information sharing with other professions and the management of devices.
DOI: 10.5281/zenodo.10152745
title: DESI 2022 indicator detailed data

description: EUROSTAT detailed data for the DESI 2022 indicator (from 2013, if available):

At least basic digital skills
ICT specialists
Female ICT specialists
Fixed very high capacity network coverage
5G coverage
SMEs with a basic level of digital intensity
AI
Cloud
Big data
Digital public services for citizens
Digital public services for businesses
Source: https://ec.europa.eu/eurostat
DOI: 10.5281/zenodo.10152746
title: DESI 2022 indicator detailed data

description: EUROSTAT detailed data for the DESI 2022 indicator (from 2013, if available):

At least basic digital skills
ICT specialists
Female ICT specialists
Fixed very high capacity network coverage
5G coverage
SMEs with a basic level of digital intensity
AI
Cloud
Big data
Digital public services for citizens
Digital public services for businesses
Source: https://ec.europa.eu/eurostat
DOI: 10.5281/zenodo.10149478
title: Matlab data code
DOI: 10.5281/zenodo.10149479
title: Matlab data code
DOI: 10.5281/zenodo.10138657
title: UN digitalization indices 2003-2022

description: Data are organized in a separate sheet for each of the indices: E-Government Rank,E-Government Index,E-Participation Index, Online Service Index, Human Capital Index, Telecommunication Infrastructure Index
Data comes from United Nations Department of Economic and Social Affairs (https://publicadministration.un.org/egovkb/en-us/data-center).
DOI: 10.5523/bris.wh23l8npz72u21tb3r2fj6ear
title: SVN experiences in practice

description: Researcher information regarding data set and the interview trascripts
DOI: 10.6073/pasta/e9d85da4401c1e84d1052063e6911914
title: Percentage of Carbon and Nitrogen of Soil Sediments from the Shark River Slough, Taylor Slough and Florida Bay within Everglades National Park (FCE LTER), Florida, USA, August 2008 - ongoing

description: These data represent the results of CHN Analysis from annual soil sampling from all 17 FCE LTER transect locations from Year 2008 thru ongoing. In 2017, the samples were collected before Hurricane Irma (2017a) and post Hurricane Irma (2017b). Surface soils from 0-10 cm been homogenized and analyzed from Sawgrass and mangrove sites and Florida Bay sites. Soils and sediments were analyzed for percentage by weight of total Carbon and Nitrogen with a PerkinElmer CHNS /O 2400 Series II Elemental Analyzer. These analyses are completed to document the differences in soil composition among transect sites, and to provide a baseline dataset against which long-term changes in the properties of the soils can be detected.
DOI: 10.5517/ccdc.csd.cc2h2mw3
title: CCDC 2296445: Experimental Crystal Structure Determination

description: Related Article: Arijit Ghosh, Tamanna Rana, Nilanjan Bhaduri, Amit B. Pawar|2023|Org.Lett.|25|7878|doi:10.1021/acs.orglett.3c03115
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.cc2g2sbp
title: CCDC 2266792: Experimental Crystal Structure Determination

description: Related Article: Rohan Jena, Subhajit Laha, Nimish Dwarkanath, Arpan Hazra, Ritesh Haldar, Sundaram Balasubramanian, Tapas Kumar Maji|2023|Chemical Science|14|12321|doi:10.1039/D3SC03079B
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.cc2g2s8m
title: CCDC 2266790: Experimental Crystal Structure Determination

description: Related Article: Rohan Jena, Subhajit Laha, Nimish Dwarkanath, Arpan Hazra, Ritesh Haldar, Sundaram Balasubramanian, Tapas Kumar Maji|2023|Chemical Science|14|12321|doi:10.1039/D3SC03079B
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.cc2g32j6
title: CCDC 2267077: Experimental Crystal Structure Determination

description: Related Article: Xue Dai, Xin Xiao, Jun Zheng, Yue Ma, Na-Qin Yang, Carl Redshaw, Pei-Hua Ma|2024|J.Mol.Struct.|1296|136937|doi:10.1016/j.molstruc.2023.136937
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.cc2h3hy2
title: CCDC 2297284: Experimental Crystal Structure Determination

description: Related Article: Soulayma Mtar, Omar Kammoun, Slim Elleuch, Mohamed Abdelhedi, Mohamed Boujelbene|2024|J.Mol.Struct.|1296|136862|doi:10.1016/j.molstruc.2023.136862
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.cc2g1dc9
title: CCDC 2265460: Experimental Crystal Structure Determination

description: Related Article: Thomas Maier, Judith Wutschitz, Natalie Gajic, Michaela Hejl, Klaudia Cseh, Sebastian Mai, Michael Jakupec, Mathea Galanski, Bernhard Keppler|2023|Dalton Trans.|52|16326|doi:10.1039/D3DT01736B
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.cc2h47mj
title: CCDC 2297987: Experimental Crystal Structure Determination

description: Related Article: Yukihiro Murata, Cihan Özen, Satoshi Maeda, Takanori Fukushima, Yoshiaki Shoji|2023|Chem.Commun.|59|13635|doi:10.1039/D3CC04830F
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/ds/4019074
title: ❤️‍🔥 600K Tinder App Google Store Reviews
DOI: 10.5281/zenodo.10152631
title: Characterizing Code Clones from Large Language Models Dataset and Scripts

description: characterizing_code_clones_data.zip: This dataset contains a collection of code snippets generated by Large Language Models (LLMs) such as GPT-3.5 and GPT-4 in response to specific programming prompts derived from LeetCode. Each sub-directory within the dataset corresponds to a particular LLM version and contains code snippets, preprocessed data, and SLACC input files. 
characterizing_code_clones_project.zip: 
This zipped directory encompasses the core scripts and results used in the "Characterizing Code Clones of LLMs" research. It features the Python script collect_samples.py for collecting LLM-generated code snippets, as well as a suite of scripts in the slacc_scripts sub-directory for processing and analyzing the data using SLACC. The directory also includes the results of the LeetCode test suites, providing insights into the correctness and efficiency of the code generated by GPT-3.5 and GPT-4.