cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7088557
title: Worrying confessions: A look at data safety labels on Android

description: The Google Play Store recently introduced a data safety section in order to give users accessible insights into apps’ data collection practices. We analyzed the labels of 43,927 of the most popular apps. Almost one third of the apps with a label claims not to collect any data. But we also saw popular apps, including apps meant for children, admitting to collecting and sharing highly sensitive data like the user’s sexual orientation or health information for tracking and advertising purposes. To verify the declarations, we recorded the network traffic of 500 apps, finding more than one quarter of them transmitting tracking data not declared in their data safety label. This data set contains a dump of our database, including the top chart data and data safety labels from September 07, 2022, and the recorded network traffic. The analysis is available at our blog: https://www.datarequests.org/blog/android-data-safety-labels-analysis/<br> The source code for the analysis is available on GitHub: https://github.com/datenanfragen/android-data-safety-label-analysis
DOI: 10.5281/zenodo.7088556
title: Worrying confessions: A look at data safety labels on Android

description: The Google Play Store recently introduced a data safety section in order to give users accessible insights into apps’ data collection practices. We analyzed the labels of 43,927 of the most popular apps. Almost one third of the apps with a label claims not to collect any data. But we also saw popular apps, including apps meant for children, admitting to collecting and sharing highly sensitive data like the user’s sexual orientation or health information for tracking and advertising purposes. To verify the declarations, we recorded the network traffic of 500 apps, finding more than one quarter of them transmitting tracking data not declared in their data safety label. This data set contains a dump of our database, including the top chart data and data safety labels from September 07, 2022, and the recorded network traffic. The analysis is available at our blog: https://www.datarequests.org/blog/android-data-safety-labels-analysis/<br> The source code for the analysis is available on GitHub: https://github.com/datenanfragen/android-data-safety-label-analysis
DOI: 10.34740/kaggle/dsv/4215193
title: Delhi Assembly Boundary
DOI: 10.34740/kaggle/dsv/4215392
title: YouTube Daily
DOI: 10.23708/2xtkrt
title: Microplastic concentrations in river and reservoir environments of Dong Nai, Ho Chi Minh City, Long An and Tay Ninh provinces, Southern Vietnam. COMPOSE (2019-2021) and CounterMEASUREII (2021-2022) projects

description: Microplastic (300-5000µm) concentrations were measured in the Tri An reservoir and Dong Nai River of Dong Nai province, Saigon River of Ho Chi Minh City, Dau Tien reservoir of Tay Ninh province and Vam Co River of Long An province, Southern Vietnam, under the COMPOSE project (2019-2021) and the CounterMEASUREII project (2021-2022). Microplastic were sampled using a 80µm mesh size net from a local boat. The samples were extracted in the laboratory using enzymatic digestion, NaCl density separation and were filtrated on GF-A filter. Then microplastic were observed on stereomicroscope and length, area, color were measured for fragments, line and circle. Concentrations are given in total microplastic per m3, fragment per m3 and fibers per m3. The sampling dates are October 2019, January 2020, May 2020, July 2020, October 2020, January 2021 and March 2021 under COMPOSE Project; October 2021 and January 2022 under the CounterMEASUREII project.
DOI: 10.6084/m9.figshare.21150724
title: Effects of drying and wetting cycles on the differential evolution of pore-fracture system and mechanical properties of lignite and its potential impact on lignite-related engineering

description: The cracking behavior of lignite during drying-wetting cycles impacts not only the efficiency of coal mining but also the formation's stability and engineering operations. The evolution of pores and fractures in several lignite lithotypes during drying-wetting cycles was studied, thereby helping to understand the effect of material composition on the syneresis behavior of lignite. When the water in the coal matrix is removed, the lignite shrinks sharply, and a large number of fractures are formed simultaneously. There are seeming differences in the contraction characteristics and fracture propagation law of different lithotypes of lignite. The xylite lignite contraction was the greatest powerfully after dehydration, and the reduction ratio of macropores was the highest, followed by the matrix lignite, and the fusain-rich lignite has the weakest syneresis capacity. The homogeneous xylite lignite shrinks as a whole after dehydration, and its fractures are long and straight, with good orientation. Fractures formed in the detrital humic groundmass of matrix lignite are short, convoluted, and poorly oriented. Fusain-rich lignite fractures are thin, and straight, with the best orientation. The expansion of fractures can cause geological disasters such as land subsidence, collapse, and landslides. Fusian hinders fractures’ expansion and acts as a “skeleton” to support the lignite structure. The presence of fusian is advantageous to maintaining the steadiness of the lignite. The differential evolution of the physical structure of lignite during the drying-wetting cycles, which aids to avert and mitigate disasters linked to dewatering cracking in different lignite-related engineering geological fields, was discussed in this research.
DOI: 10.6084/m9.figshare.21150724.v1
title: Effects of drying and wetting cycles on the differential evolution of pore-fracture system and mechanical properties of lignite and its potential impact on lignite-related engineering

description: The cracking behavior of lignite during drying-wetting cycles impacts not only the efficiency of coal mining but also the formation's stability and engineering operations. The evolution of pores and fractures in several lignite lithotypes during drying-wetting cycles was studied, thereby helping to understand the effect of material composition on the syneresis behavior of lignite. When the water in the coal matrix is removed, the lignite shrinks sharply, and a large number of fractures are formed simultaneously. There are seeming differences in the contraction characteristics and fracture propagation law of different lithotypes of lignite. The xylite lignite contraction was the greatest powerfully after dehydration, and the reduction ratio of macropores was the highest, followed by the matrix lignite, and the fusain-rich lignite has the weakest syneresis capacity. The homogeneous xylite lignite shrinks as a whole after dehydration, and its fractures are long and straight, with good orientation. Fractures formed in the detrital humic groundmass of matrix lignite are short, convoluted, and poorly oriented. Fusain-rich lignite fractures are thin, and straight, with the best orientation. The expansion of fractures can cause geological disasters such as land subsidence, collapse, and landslides. Fusian hinders fractures’ expansion and acts as a “skeleton” to support the lignite structure. The presence of fusian is advantageous to maintaining the steadiness of the lignite. The differential evolution of the physical structure of lignite during the drying-wetting cycles, which aids to avert and mitigate disasters linked to dewatering cracking in different lignite-related engineering geological fields, was discussed in this research.
DOI: 10.5281/zenodo.7088728
title: Supplementary Materials for "How much has the Sun influenced Northern Hemisphere temperature trends? An ongoing debate"

description: Supplementary Materials for Connolly et al. (2021), i.e., R. Connolly, W. Soon, M. Connolly, S. Baliunas, J. Berglund, C. J. Butler, R. G. Cionco, A. G. Elias, V. M. Fedorov, H. Harde, G. W. Henry, D. V. Hoyt, O. Humlum, D. R. Legates, S. Lüning, N. Scafetta, J.-E. Solheim, L. Szarka, H. van Loon, V. M. Velasco Herrera, R. C. Willson, H. Yan and W. Zhang (2021). How much has the Sun influenced Northern Hemisphere temperature trends? An ongoing debate. <em>Research in Astronomy and Astrophysics</em> 21, 131. https://doi.org/10.1088/1674-4527/21/6/131 1. Supplementary Materials for Connolly et al. (2021) originally hosted on the journal's website at https://www.raa-journal.org/docs/Supp/ms4906Supplementary%20Materials.xlsx 2. Additional Supplementary Materials: Python 3 code, input files and output files used for generating various Land Surface Air Temperature time series used as part of the analysis of Connolly et al. (2021)
DOI: 10.5281/zenodo.7088727
title: Supplementary Materials for "How much has the Sun influenced Northern Hemisphere temperature trends? An ongoing debate"

description: Supplementary Materials for Connolly et al. (2021), i.e., R. Connolly, W. Soon, M. Connolly, S. Baliunas, J. Berglund, C. J. Butler, R. G. Cionco, A. G. Elias, V. M. Fedorov, H. Harde, G. W. Henry, D. V. Hoyt, O. Humlum, D. R. Legates, S. Lüning, N. Scafetta, J.-E. Solheim, L. Szarka, H. van Loon, V. M. Velasco Herrera, R. C. Willson, H. Yan and W. Zhang (2021). How much has the Sun influenced Northern Hemisphere temperature trends? An ongoing debate. <em>Research in Astronomy and Astrophysics</em> 21, 131. https://doi.org/10.1088/1674-4527/21/6/131 1. Supplementary Materials for Connolly et al. (2021) originally hosted on the journal's website at https://www.raa-journal.org/docs/Supp/ms4906Supplementary%20Materials.xlsx 2. Additional Supplementary Materials: Python 3 code, input files and output files used for generating various Land Surface Air Temperature time series used as part of the analysis of Connolly et al. (2021)
DOI: 10.34740/kaggle/dsv/4215720
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.3955158
title: Industrial legacies in a rapidly changing Arctic

description: <strong>Database and source codes used to investigate the impact of permafrost thaw on industrial legacies in the Arctic:</strong> The file <em>Industrial_Sites.zip</em> includes geospatial data (GeoJSON) on the location of industrial sites extracted from the landuse information of Open Street Map (OSM). The file <em>PanArctic_Simulations.zip</em> includes the source code of CryoGrid permafrost model (Julia Language v. 0.6.4) and a start script with all parameter and forcing data (JSON) required to run the model for industrial sites located in Arctic permafrost regions. The file <em>Case_Study_Norilsk.zip</em> includes the source code of CryoGrid3 permafrost model (Matlab) with all parameter and forcing data required to run a site simulation for permafrost thaw underneath a hypothetical tank facility with climate data from Norilsk - Russia.
DOI: 10.5281/zenodo.4585559
title: Industrial legacies in a rapidly changing Arctic

description: <strong>Database and source codes used to investigate the impact of permafrost thaw on industrial legacies in the Arctic:</strong> The file <em>Industrial_Sites.zip</em> includes geospatial data (point shape file) on the location of industrial sites above 55°N. The data synergizes data from OpenStreetMap (OSM) and the Nordregio Atlas of population, society and economy in the Arctic from 2019. The file <em>PanArctic_Simulations.zip</em> includes the source code of CryoGrid permafrost model (Julia Language v. 0.6.4) and a start script with all parameter and forcing data (JSON) required to run the model for industrial sites located in Arctic permafrost regions. The file <em>Case_Study_Norilsk.zip</em> includes the source code of CryoGrid3 permafrost model (Matlab) with all parameter and forcing data required to run a site simulation for permafrost thaw underneath a hypothetical tank facility with climate data from Norilsk - Russia. The file<em> Figure_S4_S5.zip</em> contains a data subsets of industrial sites and contaminated sites in Alaska as well as scripts used to fit a point process model to the data. The file <em>Figure_3_S3.zip</em> contains a data subsets of industrial sites and contaminated sites in Alaska and scripts used to analyze the occurrences of contamination and industrial activity in the permafrost regions of Alaska. The file<em> Figure_4</em> contains data and scripts to analyze permafrost degradation at industrial sites in the Arctic according to simulations performed with PanArctic_Simulations.zip and data contained in Industrial_Sites.zip. The file<em> Figure_S4_S5.zip </em>contains a data subsets of industrial sites and contaminated sites in Alaska as well as scripts used to fit a point process model to the data.
DOI: 10.5281/zenodo.5195538
title: Industrial legacies in a rapidly changing Arctic

description: <strong>Database and source codes used to investigate the impact of permafrost thaw on industrial legacies in the Arctic:</strong> The file <em>Industrial_Sites.zip</em> includes geospatial data (point shape file) on the location of industrial sites above 55°N. The data synergizes data from OpenStreetMap (OSM) and the Nordregio Atlas of population, society and economy in the Arctic from 2019. The file <em>PanArctic_Simulations.zip</em> includes the source code of the CryoGrid permafrost model (Julia Language v. 0.6.4) and a start script with all parameters and forcing data (JSON) required to run the model for industrial sites located in the Arctic permafrost region. The file <em>Contaminated_Sites_Program_Alaska.zip</em> includes geospatial data extracted from the database of the Contaminated Sites Program in Alaska. The data set contains location, associated industrial sector, first date of registration, and associated chemical substances. The file<em> Point_Process_Modeling.zip</em> contains geospatial data of industrial sites and contaminated sites in Alaska and an R script used to fit a point process model to the data. The results deliver intensity maps of contaminated sites in the Arctic permafrost region. The file <em>Industrial_Contaminated_Sites_Alaska.zip</em> contains a data subset of industrial sites and contaminated sites in Alaska and scripts used to analyze the occurrences of contamination and industrial activity in the permafrost regions of Alaska. The file<em> </em><em>Industrial_Contaminated_Sites_Arctic.zip</em> contains data and scripts to analyze permafrost degradation at industrial sites and contaminated sites in the Arctic following the simulations performed with PanArctic_Simulations.zip and the site locations contained in <em>Industrial_Sites.zip</em> and the intensity map derived by <em>Point_Process_Modelling.zip</em>. Please note that paths pointing to the datasets used in the scripts have to be changed accordingly.
DOI: 10.34740/kaggle/dsv/4215809
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.20154206
title: 111111

description: 111111
DOI: 10.6084/m9.figshare.20154206.v1
title: Genetic analysis of prolificacy in Pishan Red sheep under an extreme desert environment

description: Sheep (PRS and QBS) that live in a desert condition.
DOI: 10.6084/m9.figshare.20154206.v2
title: 111111

description: 111111
DOI: 10.6084/m9.figshare.21151000
title: pentamera_pediparva_zanfona_1.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.21151000.v1
title: pentamera_pediparva_zanfona_1.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.21150736.v1
title: NicheNet input networks

description: NicheNet input networks
DOI: 10.6084/m9.figshare.21151030
title: all_12k_sets_KNN_A_features.mat

description: Input to the trainClassifier_KNN_A function.
DOI: 10.6084/m9.figshare.21151030.v1
title: all_12k_sets_KNN_A_features.mat

description: Input to the trainClassifier_KNN_A function.
DOI: 10.6084/m9.figshare.21151045.v1
title: all_images_datastore.mat

description: Input to the TWODCNN function.
DOI: 10.6084/m9.figshare.21151045
title: all_images_datastore.mat

description: Input to the TWODCNN function.
DOI: 10.6084/m9.figshare.21151033
title: all_12k_sets_table_II.mat

description: Input to the Time_Domain_Features function.
DOI: 10.6084/m9.figshare.21151036
title: all_12k_sets_table_III.mat

description: Input to the Images_Generator function.
DOI: 10.6084/m9.figshare.21151036.v1
title: all_12k_sets_table_III.mat

description: Input to the Images_Generator function.
DOI: 10.6084/m9.figshare.21151042
title: all_12k_sets_table_I.mat

description: Input to the Frequency_Domain_Features function.
DOI: 10.6084/m9.figshare.21151042.v1
title: all_12k_sets_table_I.mat

description: Input to the Frequency_Domain_Features function.
DOI: 10.6084/m9.figshare.21151039
title: all_12k_sets_SVM_B_features.mat

description: Input to the trainClassifier_SVM_B function.
DOI: 10.6084/m9.figshare.21151039.v1
title: all_12k_sets_SVM_B_features.mat

description: Input to the trainClassifier_SVM_B function.
DOI: 10.5517/ccdc.csd.cc1lbylg
title: CCDC 1470286: Experimental Crystal Structure Determination

description: Related Article: Shujaat Ahmad, Nadia Gul, Manzoor Ahmad, Mazen Almehmadi, Alaa Shafie, Syed Adnan Ali Shah, Najeeb Ur Rahman, Hanif Ahmad|2022|Fitoterapia|162|105268|doi:10.1016/j.fitote.2022.105268
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.cc20n3rk
title: CCDC 1866378: Experimental Crystal Structure Determination

description: Related Article: Xing Wu, Jiajie Zeng, Xiaoluo Peng, Huijun Liu, Ben Zhong Tang, Zujin Zhao|2023|Chem.Eng.Journal|451|138919|doi:10.1016/j.cej.2022.138919
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.cc23csy7
title: CCDC 1947759: Experimental Crystal Structure Determination

description: Related Article: S. Kumarans|2019|CSD Communication|||
description: Related Article: Subramani Kumaran, Kanniyappan Parthasarathy|2022|J.Org.Chem.|87|11989|doi:10.1021/acs.joc.2c00964
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.cc28r85h
title: CCDC 2107726: Experimental Crystal Structure Determination

description: Related Article: Priyanka Patil, Suresh Kadam, Dayanand Patil, Paresh More|2022|Catalysis Communications|170|106500|doi:10.1016/j.catcom.2022.106500
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.cc28r86j
title: CCDC 2107727: Experimental Crystal Structure Determination

description: Related Article: Priyanka Patil, Suresh Kadam, Dayanand Patil, Paresh More|2022|Catalysis Communications|170|106500|doi:10.1016/j.catcom.2022.106500
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.cc28r87k
title: CCDC 2107728: Experimental Crystal Structure Determination

description: Related Article: Priyanka Patil, Suresh Kadam, Dayanand Patil, Paresh More|2022|Catalysis Communications|170|106500|doi:10.1016/j.catcom.2022.106500
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.cc28v73h
title: CCDC 2110576: Experimental Crystal Structure Determination

description: Related Article: Lixin Liu, Qi An, Yunan Zhang, Weitong Sun, Jinjing Li, Yanru Feng, Yiding Geng, Guangdong Cheng|2022|Journal of Drug Delivery Science and Technology|76|103732|doi:10.1016/j.jddst.2022.103732
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.cc27y4gt
title: CCDC 2083586: Experimental Crystal Structure Determination

description: Related Article: Hao Tan, Liting Du, Xiang Zhao, Xiaosong Qi, Zhiwen Deng, Zhiyong Lu, Jianfeng Zhang, Haiyan He|2022|J.Solid State Chem.|315|123519|doi:10.1016/j.jssc.2022.123519
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.cc296whx
title: CCDC 2121779: Experimental Crystal Structure Determination

description: Related Article: S Kumarans|2021|CSD Communication|||
description: Related Article: Subramani Kumaran, Kanniyappan Parthasarathy|2022|J.Org.Chem.|87|11989|doi:10.1021/acs.joc.2c00964
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.cc2b51j3
title: CCDC 2149804: Experimental Crystal Structure Determination

description: Related Article: Subramani Kumaran, Kanniyappan Parthasarathy|2022|J.Org.Chem.|87|11989|doi:10.1021/acs.joc.2c00964
description: Related Article: S Kumarans|2022|CSD Communication|||
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.cc29xypw
title: CCDC 2142989: Experimental Crystal Structure Determination

description: Related Article: Matthew P. Heaney, Daniel K. Unruh, Tomče Runčevski|2022|Cryst.Growth Des.|22|5168|doi:10.1021/acs.cgd.2c00079
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.