cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7804659
title: Compilation of open asset-level data, as of Dec 2022

description: This dataset is a compilation of open asset-level data, which means the location of sites (e.g., operation, manufacturing, processing facilities of global supply chains), as of December 2022. This included data from 9 publicly available sources, that after data cleaning and harmonization, resulted in 189,075 data points. <strong>Data source</strong> <strong>Number of data points</strong> Open Supply Hub (former Open Apparel Registry) 96,736 Global Power Plant Database 35,419 Climate trace 19,945 FDA database 12,898 Global Dam Watch 11,017 EudraGMDP database 5,181 Sustainable Finance Initiative GeoAsset Databases 4,716 Global Tailings Portal 1,956 Fine print Mining Database 1,207 This data was assigned with the industry in which the asset is. The summary table below shows the number of assets by industry. <strong>Industry</strong> <strong>Number of assets </strong> Textiles, Apparel & Luxury Good Production 96,736 Health Care, Pharma and Biotechnology 18,079 Energy - Solar, Wind 16,282 Energy - Hydropower 14,515 Energy - Geothermal or Combustion 11,724 Metals & Mining 11,210 Transportation Services 4,872 Construction Materials 3,117 Agriculture (animal products) 2,388 Agriculture (plant products) 1,896 Oil, Gas & Consumable Fuels 1,194 Water utilities / Water Service Providers 892 Hospitality Services 294 Fishing and aquaculture 14 Other 5,862 <strong>Note that this compilation is based on an extensive search, however, we acknowledge that there is a significant discrepancy in data coverage/comprehensiveness among the different industries.</strong> The industry "Textiles, Apparel & Luxury Good Production" is by far the most complete, while other are clearly far from complete, for example, “Construction Materials”, "Agriculture (animal products)”, “Agriculture (plant products)”, “Oil, Gas & Consumable Fuels”, “Water utilities / Water Service Providers”, “Hospitality Services”, “Fishing and aquaculture”. <strong>Therefore, any comparison between industries should take this coverage/comprehensiveness bias into consideration.</strong>
DOI: 10.5281/zenodo.7804658
title: Compilation of open asset-level data, as of Dec 2022

description: This dataset is a compilation of open asset-level data, which means the location of sites (e.g., operation, manufacturing, processing facilities of global supply chains), as of December 2022. This included data from 9 publicly available sources, that after data cleaning and harmonization, resulted in 189,075 data points. <strong>Data source</strong> <strong>Number of data points</strong> Open Supply Hub (former Open Apparel Registry) 96,736 Global Power Plant Database 35,419 Climate trace 19,945 FDA database 12,898 Global Dam Watch 11,017 EudraGMDP database 5,181 Sustainable Finance Initiative GeoAsset Databases 4,716 Global Tailings Portal 1,956 Fine print Mining Database 1,207 This data was assigned with the industry in which the asset is. The summary table below shows the number of assets by industry. <strong>Industry</strong> <strong>Number of assets </strong> Textiles, Apparel & Luxury Good Production 96,736 Health Care, Pharma and Biotechnology 18,079 Energy - Solar, Wind 16,282 Energy - Hydropower 14,515 Energy - Geothermal or Combustion 11,724 Metals & Mining 11,210 Transportation Services 4,872 Construction Materials 3,117 Agriculture (animal products) 2,388 Agriculture (plant products) 1,896 Oil, Gas & Consumable Fuels 1,194 Water utilities / Water Service Providers 892 Hospitality Services 294 Fishing and aquaculture 14 Other 5,862 <strong>Note that this compilation is based on an extensive search, however, we acknowledge that there is a significant discrepancy in data coverage/comprehensiveness among the different industries.</strong> The industry "Textiles, Apparel & Luxury Good Production" is by far the most complete, while other are clearly far from complete, for example, “Construction Materials”, "Agriculture (animal products)”, “Agriculture (plant products)”, “Oil, Gas & Consumable Fuels”, “Water utilities / Water Service Providers”, “Hospitality Services”, “Fishing and aquaculture”. <strong>Therefore, any comparison between industries should take this coverage/comprehensiveness bias into consideration.</strong>
DOI: 10.6084/m9.figshare.22002542
title: Application of Collaborative Learning Paradigms within Software Engineering Education: A Systematic Mapping Study

description: Contains spreadsheets used to report findings in the "Application of Collaborative Learning Paradigms within Software Engineering<br> Education: A Systematic Mapping Study" paper.
DOI: 10.6084/m9.figshare.22002542.v2
title: Application of Collaborative Learning Paradigms within Software Engineering Education: A Systematic Mapping Study

description: Contains spreadsheets used to report findings in the "Application of Collaborative Learning Paradigms within Software Engineering<br> Education: A Systematic Mapping Study" paper.
DOI: 10.6084/m9.figshare.22002542.v1
title: Application of Collaborative Learning Paradigms within Software Engineering Education: A Systematic Mapping Study

description: Contains spreadsheets used to report findings in the "Application of Collaborative Learning Paradigms within Software Engineering<br> Education: A Systematic Mapping Study" paper.
DOI: 10.6084/m9.figshare.3761562.v2548
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.22336156
title: PRETEST, POSTEST Y FICHAS DE ACTIVIDADES

description: SE PROPUSIERON PRETEST , POSTEST Y FICHAS DE ENSEÑANZA - APRENDIZAJE USANDO EL SOFTWARE GEOGEBRA CON CONTENIDOS MATEMATICOS DE PROGRAMACION LINEAL
DOI: 10.6084/m9.figshare.22336156.v2
title: PRETEST, POSTEST Y FICHAS DE ACTIVIDADES

description: SE PROPUSIERON PRETEST , POSTEST Y FICHAS DE ENSEÑANZA - APRENDIZAJE USANDO EL SOFTWARE GEOGEBRA CON CONTENIDOS MATEMATICOS DE PROGRAMACION LINEAL
DOI: 10.6084/m9.figshare.22336156.v1
title: FICHAS DE INVESTIGACION

description: SE PROPUSIERON FICHAS DE ENSEÑANZA - APRENDIZAJE DEL SOFTWARE GEOGEBRA CON CONTENIDOS MATEMATICOS Y DOMINIO DE COMANDOS <br>
DOI: 10.5281/zenodo.7806782
title: An analyst-created, high-resolution seismic arrival time dataset for evaluating machine learning phase detectors

description: This data set contains phase arrival times and phase labels for one hour of continuous seismic data recorded at the three-component broadband station WY.YNR on 2014 30 March from 13:00:00 to 14:00:00 UTC. This hour of data follows a M<sub>w</sub> 4.8 occurring at 12:34 UTC in the Yellowstone region and contains many small events close together in space and time. All 687 picks (404 P and 283 S) were made by a seismic analyst trained at the University of Utah Seismograph Stations. The goal was to pick as many reasonable arrivals as possible for evaluating the performance of machine-learning-based phase detectors on continuous data during high seismicity rates. Phase picks were made using the Seismic Analysis Code (SAC; Goldstein and Snoke, 2005) and Pyrocko (Heimann <em>et al</em>., 2017). In general, a 1 to 17 Hz bandpass filter was used. The csv file contains the pick id, phase arrival time in UTC and Unix epoch formats, and the phase labels (P or S).
description: {"references": ["Goldstein, P., and A. Snoke, (2005), \"SAC Availability for the IRIS Community\", Incorporated Institutions for Seismology Data Management Center Electronic Newsletter.", "Heimann, S., M. Kriegerowski, M. Isken, S. Cesca, S. Daout, F. Grigoli, C. Juretzek, T. Megies, N. Nooshiri, A. Steinberg, H. Sudhaus, H. Vasyura-Bathke, T. Willey, and T. Dahm (2017). Pyrocko - An open-source seismology toolbox and library. GFZ Data Services."]}
DOI: 10.5281/zenodo.7806781
title: An analyst-created, high-resolution seismic arrival time dataset for evaluating machine learning phase detectors

description: This data set contains phase arrival times and phase labels for one hour of continuous seismic data recorded at the three-component broadband station WY.YNR on 2014 30 March from 13:00:00 to 14:00:00 UTC. This hour of data follows a M<sub>w</sub> 4.8 occurring at 12:34 UTC in the Yellowstone region and contains many small events close together in space and time. All 687 picks (404 P and 283 S) were made by a seismic analyst trained at the University of Utah Seismograph Stations. The goal was to pick as many reasonable arrivals as possible for evaluating the performance of machine-learning-based phase detectors on continuous data during high seismicity rates. Phase picks were made using the Seismic Analysis Code (SAC; Goldstein and Snoke, 2005) and Pyrocko (Heimann <em>et al</em>., 2017). In general, a 1 to 17 Hz bandpass filter was used. The csv file contains the pick id, phase arrival time in UTC and Unix epoch formats, and the phase labels (P or S).
description: {"references": ["Goldstein, P., and A. Snoke, (2005), \"SAC Availability for the IRIS Community\", Incorporated Institutions for Seismology Data Management Center Electronic Newsletter.", "Heimann, S., M. Kriegerowski, M. Isken, S. Cesca, S. Daout, F. Grigoli, C. Juretzek, T. Megies, N. Nooshiri, A. Steinberg, H. Sudhaus, H. Vasyura-Bathke, T. Willey, and T. Dahm (2017). Pyrocko - An open-source seismology toolbox and library. GFZ Data Services."]}
DOI: 10.6084/m9.figshare.22572970
title: 16S_SILVA138_k2db_04-2023

description: SILVA138 Database files
DOI: 10.6084/m9.figshare.22572970.v1
title: 16S_SILVA138_k2db_04-2023

description: SILVA138 Database files
DOI: 10.5519/qd.wygownw5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/h4bm-ac75
title: Measuring and Modeling Macrophage Growth Using a Lab-on-CMOS Capacitance Sensing Microsystem

description:  In this archive, we provide experimental data and software that were used in our study on macrophage proliferation using a lab-on-CMOS platform.  The data are for RAW 264.7 murine Balb/c macrophages, which we cultured on a CMOS capacitance sensor. We show that macrophage growth over a wide sensing area correlates linearly with an average capacitance growth factor resulting from capacitance measurements at a plurality of electrodes dispersed in the sensing area. We further show a temporal model that captures the cell evolution in the area of interest over long periods (e.g., 30 hours). The model links the cell numbers and the average capacitance growth factor associated with the sensing area to describe the observed growth kinetics.
DOI: 10.25810/es52-xr23.59
title: Canadian Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - February 2023

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.7036783
title: Map data for "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"

description: These are the map data for the paper "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"
DOI: 10.5281/zenodo.7058680
title: Map data for "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"

description: These are the map data for the paper "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"
DOI: 10.5281/zenodo.7566458
title: Map data in the Methods Section of "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"

description: These are map data for the Methods Section of the paper "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"
DOI: 10.5281/zenodo.7677771
title: Map data in the Methods Section of "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"

description: These are map data for the Methods Section of the paper "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"
DOI: 10.5281/zenodo.7036782
title: Figure data of "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"

description: These are figure data for the paper "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"
DOI: 10.5281/zenodo.7786749
title: Figure data of "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"

description: These are figure data for the paper "Remote Detection of a Lunar Granitic Batholith at Compton-Belkovich"
DOI: 10.5517/ccdc.csd.cc29fnyc
title: CCDC 2128303: Experimental Crystal Structure Determination

description: Related Article: Johannes Teichert|2023|CSD Communication|||
description: Related Article: Trung Tran Ngoc, Niklas Grabicki, Elisabeth Irran, Oliver Dumele, Johannes F. Teichert|2023|Nature Chemistry|15|377|doi:10.1038/s41557-022-01121-w
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.cc29fnzd
title: CCDC 2128304: Experimental Crystal Structure Determination

description: Related Article: Johannes Teichert|2023|CSD Communication|||
description: Related Article: Trung Tran Ngoc, Niklas Grabicki, Elisabeth Irran, Oliver Dumele, Johannes F. Teichert|2023|Nature Chemistry|15|377|doi:10.1038/s41557-022-01121-w
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.cc29fp0g
title: CCDC 2128305: Experimental Crystal Structure Determination

description: Related Article: Johannes Teichert|2023|CSD Communication|||
description: Related Article: Trung Tran Ngoc, Niklas Grabicki, Elisabeth Irran, Oliver Dumele, Johannes F. Teichert|2023|Nature Chemistry|15|377|doi:10.1038/s41557-022-01121-w
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.cc29fp1h
title: CCDC 2128306: Experimental Crystal Structure Determination

description: Related Article: Johannes Teichert|2023|CSD Communication|||
description: Related Article: Trung Tran Ngoc, Niklas Grabicki, Elisabeth Irran, Oliver Dumele, Johannes F. Teichert|2023|Nature Chemistry|15|377|doi:10.1038/s41557-022-01121-w
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.cc29fp2j
title: CCDC 2128307: Experimental Crystal Structure Determination

description: Related Article: Johannes Teichert|2023|CSD Communication|||
description: Related Article: Trung Tran Ngoc, Niklas Grabicki, Elisabeth Irran, Oliver Dumele, Johannes F. Teichert|2023|Nature Chemistry|15|377|doi:10.1038/s41557-022-01121-w
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.cc29fp3k
title: CCDC 2128308: Experimental Crystal Structure Determination

description: Related Article: Johannes Teichert|2023|CSD Communication|||
description: Related Article: Trung Tran Ngoc, Niklas Grabicki, Elisabeth Irran, Oliver Dumele, Johannes F. Teichert|2023|Nature Chemistry|15|377|doi:10.1038/s41557-022-01121-w
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.cc29fp4l
title: CCDC 2128309: Experimental Crystal Structure Determination

description: Related Article: Johannes Teichert|2023|CSD Communication|||
description: Related Article: Trung Tran Ngoc, Niklas Grabicki, Elisabeth Irran, Oliver Dumele, Johannes F. Teichert|2023|Nature Chemistry|15|377|doi:10.1038/s41557-022-01121-w
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.cc29m201
title: CCDC 2133482: Experimental Crystal Structure Determination

description: Related Article: Johannes Teichert|2023|CSD Communication|||
description: Related Article: Trung Tran Ngoc, Niklas Grabicki, Elisabeth Irran, Oliver Dumele, Johannes F. Teichert|2023|Nature Chemistry|15|377|doi:10.1038/s41557-022-01121-w
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.cc2b6rfr
title: CCDC 2151444: Experimental Crystal Structure Determination

description: Related Article: Qing-Feng Zhao, Jian-Hong Wang|2022|Polym.Bull.|80|4169|doi:10.1007/s00289-022-04252-9
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.cc2cp0fj
title: CCDC 2194937: Experimental Crystal Structure Determination

description: Related Article: Yi-Ming Zhu, Xiao-Ping Xu, Shun-Jun Ji|2023|Org.Lett.|25|2041|doi:10.1021/acs.orglett.3c00393
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.cc2cp0mq
title: CCDC 2194943: Experimental Crystal Structure Determination

description: Related Article: Yi-Ming Zhu, Xiao-Ping Xu, Shun-Jun Ji|2023|Org.Lett.|25|2041|doi:10.1021/acs.orglett.3c00393
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.cc2cp126
title: CCDC 2194957: Experimental Crystal Structure Determination

description: Related Article: Yi-Ming Zhu, Xiao-Ping Xu, Shun-Jun Ji|2023|Org.Lett.|25|2041|doi:10.1021/acs.orglett.3c00393
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.cc2cyvls
title: CCDC 2203436: Experimental Crystal Structure Determination

description: Related Article: Gang-Mei Li, Zhen-Gang Liang, Yang Liu, Jin-Hua Li, Jie Pan, Song-De Han|2023|Cryst.Growth Des.|23|2182|doi:10.1021/acs.cgd.2c01210
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.cc2d3jfh
title: CCDC 2207926: Experimental Crystal Structure Determination

description: Related Article: Anton V. Rozhkov, Margarita V. Zhmykhova, Yury V. Torubaev, Eugene A. Katlenok, Dmitry M. Kryukov, Vadim Yu. Kukushkin|2023|Cryst.Growth Des.|23|2593|doi:10.1021/acs.cgd.2c01454
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.cc2d3jjl
title: CCDC 2207929: Experimental Crystal Structure Determination

description: Related Article: Anton V. Rozhkov, Margarita V. Zhmykhova, Yury V. Torubaev, Eugene A. Katlenok, Dmitry M. Kryukov, Vadim Yu. Kukushkin|2023|Cryst.Growth Des.|23|2593|doi:10.1021/acs.cgd.2c01454
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: 10.18434/mds2-2830
title: Mosaic Standards Challenge
DOI: 10.5517/ccdc.csd.cc2d3jcf
title: CCDC 2207924: Experimental Crystal Structure Determination

description: Related Article: Anton V. Rozhkov, Margarita V. Zhmykhova, Yury V. Torubaev, Eugene A. Katlenok, Dmitry M. Kryukov, Vadim Yu. Kukushkin|2023|Cryst.Growth Des.|23|2593|doi:10.1021/acs.cgd.2c01454
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.