cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7392215
title: Stakeholder - Policy & Regulation

description: <i>This dataset '</i><i>Stakeholder - Policy & Regulation</i><i>’ is a component of a Doctor of Philosophy conducted by candidate Alexander Hayes (3919493) titled 'The Socioethical Implications of Body Worn Computers: An Ethnographic Study'. This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT) at the University of Wollongong with research strength Innovation in Business & Social Research under Principal Supervisor Professor Katina Michael (University of Wollongong) and Associate Supervisor Dr Teemu Leinonen (Aalto University Finland). This thesis explores the socio-ethical implications of body worn computers (BWC) using an ethnographic approach. Furthermore, a subset, body worn cameras (BWCs), combines data with value added constancy through Location Based Services (LBS) over wireless network connections. The aim of this investigation was to engage global leaders from trans-disciplinary stakeholder groups in semi-structured interviews, conversations and events, situating a review of the social impact and </i>ethical implications of BWCs. A critical discourse analysis using a Foucauldian approach reveals power relations, which are then infused through narrative with unique intercultural perspectives, differentiating ‘location’ from ‘place’. The author of this study has subsequently identified through Grounded Theory that BWCs are causal agencies for disconnect from proper culture which can be addressed through the application of Ngikalikarra, a unique framework for empathetic understanding of place and community engagement. The full thesis can be accessed at https://ro.uow.edu.au/theses1/853
DOI: 10.6084/m9.figshare.7392209
title: All Interviews - Leximancer Data Visualisation

description: Concept mapping results and associated generated by Leximancer using all 50 interviews. This dataset comprised of concept mapping the results and associated figures by Leximancer using all 50 interviews is a component of a Doctor of Philosophy conducted by candidate Alexander Hayes (3919493) titled 'The Socioethical Implications of Body Worn Computers: An Ethnographic Study'. This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT) at the University of Wollongong with research strength Innovation in Business & Social Research under Principal Supervisor Professor Katina Michael (University of Wollongong) and Associate Supervisor Dr Teemu Leinonen (Aalto University Finland). This thesis explores the socio-ethical implications of body worn computers (BWC) using an ethnographic approach. Furthermore, a subset, body worn cameras (BWCs), combines data with value added constancy through Location Based Services (LBS) over wireless network connections. The aim of this investigation was to engage global leaders from trans-disciplinary stakeholder groups in semi-structured interviews, conversations and events, situating a review of the social impact and ethical implications of BWCs. A critical discourse analysis using a Foucauldian approach reveals power relations, which are then infused through narrative with unique intercultural perspectives, differentiating ‘location’ from ‘place’. The author of this study has subsequently identified through Grounded Theory that BWCs are causal agencies for disconnect from proper culture which can be addressed through the application of Ngikalikarra, a unique framework for empathetic understanding of place and community engagement. The full thesis can be accessed at https://ro.uow.edu.au/theses1/853 <br>
DOI: 10.6084/m9.figshare.12387083
title: Glacial and runoff distribution of the Qaidam basin

description: Glacial and runoff distribution of the Qaidam basin
DOI: 10.6084/m9.figshare.12387083.v2
title: Glacial and runoff distribution of the Qaidam basin

description: Glacial and runoff distribution of the Qaidam basin
DOI: 10.6084/m9.figshare.12387083.v1
title: Glacial and runoff distribution of the Qaidam basin

description: Glacial and runoff distribution of the Qaidam basin
DOI: 10.6084/m9.figshare.13046306.v2
title: Flight dates (.tif)

description: Please see the read me. txt file for description.<br><br>
DOI: 10.5439/1719099
title: ARM: CAMLPM

description: caminst
DOI: 10.5439/1719100
title: ARM: STEREOCAMBMOVIE

description: stereocam
DOI: 10.6084/m9.figshare.4763383.v4
title: Kalara - Making Seen, Revealing

description: A data set containing the diagrammatic graphic representation of the filmmakers process of working with Aboriginal communities in Australia, the cycles, the journey as communities decide their own development focus on Booroo - Nyikina Aboriginal term from the Kimberley region of Australia meaning 'country'. Content by Magali McDuffie, graphic design by Alexander Hayes.
DOI: 10.6084/m9.figshare.13269977
title: SCS_Picks

description: This file contains the magnetic picks and associated magnetic anomalies.
DOI: 10.6084/m9.figshare.13269977.v1
title: SCS_Picks

description: This file contains the magnetic picks and associated magnetic anomalies.
DOI: 10.6084/m9.figshare.12277919
title: SCS_Magnetic_Picks.dat

description: The file is a dataset of magnetic picks in the South China Sea.The file contains three columns: longitude, latitude and corresponding age.
DOI: 10.6084/m9.figshare.12277919.v4
title: SCS_Magnetic_Picks.dat

description: The file is a dataset of magnetic picks in the South China Sea.The file contains three columns: longitude, latitude and corresponding age.
DOI: 10.6084/m9.figshare.12277919.v3
title: SCS_Magnetic_Picks.dat

description: The file is a dataset of magnetic picks in the South China Sea.The file contains three columns: longitude, latitude and corresponding age.
DOI: 10.34740/kaggle/dsv/1666600
title: COVID-19 Indonesia Dataset
DOI: 10.21227/fgcf-cz74
title: Sea-land_segmentation_dataset

description: The dataset is a new high-quality dataset to advance sea-land segmentation with high-resolution remote sensing images. The dataset contains 1,726 hand-labeled and cropped Gaofen-1 images with an 8-meter spatial resolution and 4 bands, covering the various types of coastlines in Lianyungang, China.
DOI: 10.21227/v8sd-1t59
title: Sea-land_segmentation_dataset

description: The dataset is a new high-quality dataset to advance sea-land segmentation with high-resolution remote sensing images. The dataset contains 1,726 hand-labeled and cropped Gaofen-1 images with an 8-meter spatial resolution and 4 bands, covering the various types of coastlines in Lianyungang, China.
DOI: 10.6084/m9.figshare.13270025
title: magnetic

description: magnetic picks
DOI: 10.6084/m9.figshare.13270025.v1
title: magnetic

description: magnetic picks
DOI: 10.21227/ta8n-e319
title: OpenNebula Virtual Machine Profiling for Intrusion Detection System

description: Intrusion Detection System can be build for private cloud using OpenNebula. OpenNebula is a cloud computing platform for managing heterogenous distributed data center infrastructure. The database is generated using a private cloud setup using KVM and OpenNebula. OpenNebula provides API to monitor Virtual Machines (VMs) running on the infrastructure. Total 6 VMs were deployed on the infrastructure. The monitoring data was collected over 63 Hours. Attacks were simulated on few of the VMs for variable time duration. These data is tagged as Normal and Attack data based on the known attack scenario. The dataset can be used to profile VM behaviour based on OpenNebula monitoring features. A machine learning model can be trained for the same.
DOI: 10.5281/zenodo.4283255
title: A soil moisture-dependent model to simulate water table depth and proportions of surface and subsurface runoff and its validation at basin scale

description: The data is the simulations of the SMD-model, Sy-mdoel, adn Noah-MP in three basins in China and the USA. The vaiables are monthly water table depth, soil moisture, subsurface and total runoff.
DOI: 10.5281/zenodo.4283254
title: A soil moisture-dependent model to simulate water table depth and proportions of surface and subsurface runoff and its validation at basin scale

description: The data is the simulations of the SMD-model, Sy-mdoel, adn Noah-MP in three basins in China and the USA. The vaiables are monthly water table depth, soil moisture, subsurface and total runoff.
DOI: 10.6084/m9.figshare.13270037
title: RAW Data of DTF in Huangbizhuang Reservoir

description: All of these are database for research of Distributed Temperature.
DOI: 10.6084/m9.figshare.13270037.v1
title: RAW Data of DTF in Huangbizhuang Reservoir

description: All of these are database for research of Distributed Temperature.
DOI: 10.6084/m9.figshare.13049342
title: Supplementary_files

description: The dataset is the supplementary files for ASFV.
DOI: 10.6084/m9.figshare.13049342.v2
title: Supplementary_files

description: The dataset is the supplementary files for ASFV.
DOI: 10.6084/m9.figshare.13049342.v1
title: Supplementary_files

description: The dataset is the supplementary files for ASFV.
DOI: 10.5281/zenodo.4281476
title: Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics (Training Dataset)

description: This dataset consists of multiple files which contain bug prediction training data. The entries in the dataset are JavaScript functions either being buggy or non-buggy. Bug related information was obtained from the project EsLint contained in BugsJS (https://github.com/BugsJS/eslint). The buggy instances were collected throughout the lifetime of the project, however we added non-buggy entries from the latest version which is tagged as fix (entries which were previously included as buggy were not included as non-buggy later on). The dataset is based on hybrid call graphs which are constructed by https://github.com/sed-szeged/hcg-js-framework. The result of this tool is a call graph where the edges are associated with a confidence level which shows how likely the given edge is a valid call edge. We used different threshold values from which we considered the edges to be valid. The following threshold values were used: 0.00 0.05 0.20 0.30 The prefix in the dataset file names are coming from the used threshold. The the datasets include coupling metrics NII (Nubmer of Incoming Invocations) and NOI (Number of Outgoing Invocations) which were calculated by a static source code analyzer called SourceMeter. Hybrid counterparts of these metrics (HNII and HNOI) are based on the given threshold values. There are four variants for all of these datasets: Both static (NII, NOi) and hybrid (HNII, HNOI) coupling metrics are included with additional static source code metrics and information about the entries (file without any postfix). Column contained only in this dataset are: ID Name Longname Parent ID Component ID Path Line Column EndLine EndColumn Both static (NII, NOi) and hybrid (HNII, HNOI) coupling metrics are included with additional static source code metrics (file with '_h+s' postfix) Only static (NII, NOI) coupling metrics are included with additional static source code metrics (file with '_s' postfix) Only hybrid (HNII, HNOI) coupling metrics are included with additional static source code metrics (file with '_h' postfix) Static source code metrics which are contained in all dataset are the following: McCC - McCabe Cyclomatic Complexity NL - Nesting Level NLE - Nesting Level Else If CD - Comment Density CLOC - Comment Lines of Code DLOC - Documentation Lines of Code TCD - Total Comment Density (Comment Lines in an emedded function will be also considered) TCLOC - Total Comment Lines of Code (Comment Lines in an emedded function will be also considered) LLOC - Logical Lines of Code (Comment and empty lines not counted) LOC - Lines of Code (Comment and empty lines are counted) NOS - Number of Statements NUMPAR - Number of Parameters TLLOC - Logical Lines of Code (Lines in embedded functions are also counted) TLOC - Lines of Code (Lines in embedded functions are also counted) TNOS - Total Number of Statements (Statements in embedded functions are also counted)
DOI: 10.5281/zenodo.4281475
title: Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics (Training Dataset)

description: This dataset consists of multiple files which contain bug prediction training data. The entries in the dataset are JavaScript functions either being buggy or non-buggy. Bug related information was obtained from the project EsLint contained in BugsJS (https://github.com/BugsJS/eslint). The buggy instances were collected throughout the lifetime of the project, however we added non-buggy entries from the latest version which is tagged as fix (entries which were previously included as buggy were not included as non-buggy later on). The dataset is based on hybrid call graphs which are constructed by https://github.com/sed-szeged/hcg-js-framework. The result of this tool is a call graph where the edges are associated with a confidence level which shows how likely the given edge is a valid call edge. We used different threshold values from which we considered the edges to be valid. The following threshold values were used: 0.00 0.05 0.20 0.30 The prefix in the dataset file names are coming from the used threshold. The the datasets include coupling metrics NII (Nubmer of Incoming Invocations) and NOI (Number of Outgoing Invocations) which were calculated by a static source code analyzer called SourceMeter. Hybrid counterparts of these metrics (HNII and HNOI) are based on the given threshold values. There are four variants for all of these datasets: Both static (NII, NOi) and hybrid (HNII, HNOI) coupling metrics are included with additional static source code metrics and information about the entries (file without any postfix). Column contained only in this dataset are: ID Name Longname Parent ID Component ID Path Line Column EndLine EndColumn Both static (NII, NOi) and hybrid (HNII, HNOI) coupling metrics are included with additional static source code metrics (file with '_h+s' postfix) Only static (NII, NOI) coupling metrics are included with additional static source code metrics (file with '_s' postfix) Only hybrid (HNII, HNOI) coupling metrics are included with additional static source code metrics (file with '_h' postfix) Static source code metrics which are contained in all dataset are the following: McCC - McCabe Cyclomatic Complexity NL - Nesting Level NLE - Nesting Level Else If CD - Comment Density CLOC - Comment Lines of Code DLOC - Documentation Lines of Code TCD - Total Comment Density (Comment Lines in an emedded function will be also considered) TCLOC - Total Comment Lines of Code (Comment Lines in an emedded function will be also considered) LLOC - Logical Lines of Code (Comment and empty lines not counted) LOC - Lines of Code (Comment and empty lines are counted) NOS - Number of Statements NUMPAR - Number of Parameters TLLOC - Logical Lines of Code (Lines in embedded functions are also counted) TLOC - Lines of Code (Lines in embedded functions are also counted) TNOS - Total Number of Statements (Statements in embedded functions are also counted)
DOI: 10.5519/qd.6y7ulewf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (133 records)
DOI: 10.6084/m9.figshare.13211339
title: dataPONER2.zip

description: Raw data for PONE submission.
DOI: 10.6084/m9.figshare.13211339.v2
title: dataPONER2.zip

description: Raw data for PONE submission.
DOI: 10.6084/m9.figshare.13211339.v1
title: dataPONE.zip

description: Raw data for PONE submission.
DOI: 10.5281/zenodo.4283313
title: The TIEGCM simulation data, simulation codes, and analysis routines for NO cooling paper (2020JA027992 )

description: The TIEGCM simulation data, simulation codes, and analysis routines for the JGR paper (2020JA027992): Comments on "Poststorm Thermospheric NO Overcooling?" by Mikhailov and Perrone (2020)
DOI: 10.5281/zenodo.4283312
title: The TIEGCM simulation data, simulation codes, and analysis routines for NO cooling paper (2020JA027992 )

description: The TIEGCM simulation data, simulation codes, and analysis routines for the JGR paper (2020JA027992): Comments on "Poststorm Thermospheric NO Overcooling?" by Mikhailov and Perrone (2020)
DOI: 10.5519/qd.rr2rslf8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (646 records)
DOI: 10.21227/e4qc-zh67
title: kVA pfc 2

description: a
DOI: 10.15161/oar.it/73277
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.13139294.v2
title: Supporting Information

description: Figure S1-3. Geological maps of the Dexing, Shaxi, Tongshankou and Fengshandong porphyry Cu-Mo (Au) deposits. Figure S4. Photomicrographs. Figure S5-8. element and isotope diagrams and mixing modeling. Table S1. Mo and B isotopic compositions of the adakitic rocks from the Dexing and MLYR areas in central-eastern China. Table S2. Parameters for mixing calculation of the La/Yb ratios and REEs during melt–mantle interaction. Table S3. Comparison of measured δ98/95Mo values of the reference materials analyzed in this study to the literature values. Table S4. Comparison of measured δ11B values of the reference materials analyzed in this study to the literature values.
DOI: 10.5281/zenodo.4283337
title: Singularity container for CGO'21 artifact description: YaskSite -- Stencil Optimization Techniques Applied to Explicit ODE Methods on Modern Architectures

description: Singularity container for CGO'21 artifact description: YaskSite -- Stencil Optimization Techniques Applied to Explicit ODE Methods on Modern Architectures
description: https://github.com/seasite-project/CGO21_YaskSite_AD
DOI: 10.5281/zenodo.4283336
title: Singularity container for CGO'21 artifact description: YaskSite -- Stencil Optimization Techniques Applied to Explicit ODE Methods on Modern Architectures

description: Singularity container for CGO'21 artifact description: YaskSite -- Stencil Optimization Techniques Applied to Explicit ODE Methods on Modern Architectures
description: https://github.com/seasite-project/CGO21_YaskSite_AD
DOI: 10.21227/vcz0-3d33
title: Solar

description: c
DOI: 10.21227/1b2n-ge78
title: Solar

description: c
DOI: 10.17632/nsfyjsd7cc.1
title: Destination mascots (data)

description: Brief data overview for study on destination mascots. Keywords: word cloud, clusters, nodes, graphs, codes
DOI: 10.5517/ccdc.csd.cc24wdq5
title: CCDC 1992547: Experimental Crystal Structure Determination

description: Related Article: Yong-Sheng Wei, Liming Sun, Miao Wang, Jinhua Hong, Lianli Zou, Hongwen Liu, Yu Wang, Mei Zhang, Zheng Liu, Yinwei Li, Satoshi Horike, Kazu Suenaga, Qiang Xu|2020|Angew.Chem.,Int.Ed.|59|16013|doi:10.1002/anie.202007221
DOI: 10.5517/ccdc.csd.cc24wdr6
title: CCDC 1992548: Experimental Crystal Structure Determination

description: Related Article: Yong-Sheng Wei, Liming Sun, Miao Wang, Jinhua Hong, Lianli Zou, Hongwen Liu, Yu Wang, Mei Zhang, Zheng Liu, Yinwei Li, Satoshi Horike, Kazu Suenaga, Qiang Xu|2020|Angew.Chem.,Int.Ed.|59|16013|doi:10.1002/anie.202007221
DOI: 10.5517/ccdc.csd.cc250c7t
title: CCDC 1996345: Experimental Crystal Structure Determination

description: Related Article: Liang-Jing Zou, Qiang Pan, Cai-Yi Li, Ze-Ting Zhang, Xiao-Wei Zhang, Xiang-Guo Hu|2020|Org.Lett.|22|8302|doi:10.1021/acs.orglett.0c02949
DOI: 10.5517/ccdc.csd.cc250c8v
title: CCDC 1996346: Experimental Crystal Structure Determination

description: Related Article: Liang-Jing Zou, Qiang Pan, Cai-Yi Li, Ze-Ting Zhang, Xiao-Wei Zhang, Xiang-Guo Hu|2020|Org.Lett.|22|8302|doi:10.1021/acs.orglett.0c02949
DOI: 10.5517/ccdc.csd.cc254s15
title: CCDC 2000586: Experimental Crystal Structure Determination

description: Related Article: Ziren Chen, Weiwei Jin, Yu Xia, Yonghong Zhang, Mengwei Xie, Shangchao Ma, Chenjiang Liu|2020|Org.Lett.|22|8261|doi:10.1021/acs.orglett.0c02907
DOI: 10.5517/ccdc.csd.cc254s26
title: CCDC 2000587: Experimental Crystal Structure Determination

description: Related Article: Ziren Chen, Weiwei Jin, Yu Xia, Yonghong Zhang, Mengwei Xie, Shangchao Ma, Chenjiang Liu|2020|Org.Lett.|22|8261|doi:10.1021/acs.orglett.0c02907
DOI: 10.5517/ccdc.csd.cc254s48
title: CCDC 2000589: Experimental Crystal Structure Determination

description: Related Article: Ziren Chen, Weiwei Jin, Yu Xia, Yonghong Zhang, Mengwei Xie, Shangchao Ma, Chenjiang Liu|2020|Org.Lett.|22|8261|doi:10.1021/acs.orglett.0c02907
DOI: 10.5517/ccdc.csd.cc254s59
title: CCDC 2000590: Experimental Crystal Structure Determination

description: Related Article: Ziren Chen, Weiwei Jin, Yu Xia, Yonghong Zhang, Mengwei Xie, Shangchao Ma, Chenjiang Liu|2020|Org.Lett.|22|8261|doi:10.1021/acs.orglett.0c02907
DOI: 10.5517/ccdc.csd.cc254s6b
title: CCDC 2000591: Experimental Crystal Structure Determination

description: Related Article: Ziren Chen, Weiwei Jin, Yu Xia, Yonghong Zhang, Mengwei Xie, Shangchao Ma, Chenjiang Liu|2020|Org.Lett.|22|8261|doi:10.1021/acs.orglett.0c02907
DOI: 10.5517/ccdc.csd.cc25dwfx
title: CCDC 2008379: Experimental Crystal Structure Determination

description: Related Article: Shunya Sakurai, Akira Matsumoto, Taichi Kano, Keiji Maruoka|2020|J.Am.Chem.Soc.|142|19017|doi:10.1021/jacs.0c09008
DOI: 10.5517/ccdc.csd.cc25dwgy
title: CCDC 2008380: Experimental Crystal Structure Determination

description: Related Article: Shunya Sakurai, Akira Matsumoto, Taichi Kano, Keiji Maruoka|2020|J.Am.Chem.Soc.|142|19017|doi:10.1021/jacs.0c09008
DOI: 10.5517/ccdc.csd.cc25f9kh
title: CCDC 2008786: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wison, Joey Feld, Jose Manuel Goicoechea|2020|Angew.Chem.,Int.Ed.|59|20914|doi:10.1002/anie.202008207
DOI: 10.5517/ccdc.csd.cc25f9lj
title: CCDC 2008787: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wison, Joey Feld, Jose Manuel Goicoechea|2020|Angew.Chem.,Int.Ed.|59|20914|doi:10.1002/anie.202008207
DOI: 10.5517/ccdc.csd.cc25f9mk
title: CCDC 2008788: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wison, Joey Feld, Jose Manuel Goicoechea|2020|Angew.Chem.,Int.Ed.|59|20914|doi:10.1002/anie.202008207
DOI: 10.5517/ccdc.csd.cc25f9nl
title: CCDC 2008789: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wison, Joey Feld, Jose Manuel Goicoechea|2020|Angew.Chem.,Int.Ed.|59|20914|doi:10.1002/anie.202008207
DOI: 10.5517/ccdc.csd.cc25f9pm
title: CCDC 2008790: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wison, Joey Feld, Jose Manuel Goicoechea|2020|Angew.Chem.,Int.Ed.|59|20914|doi:10.1002/anie.202008207
DOI: 10.5517/ccdc.csd.cc1n3zb2
title: CCDC 1523164: Experimental Crystal Structure Determination

description: Related Article: Silas C. Böttger, Christina Poggel, Jörg Sundermeyer|2020|Organometallics|39|3789|doi:10.1021/acs.organomet.0c00458
DOI: 10.5517/ccdc.csd.cc25nl3k
title: CCDC 2015778: Experimental Crystal Structure Determination

description: Related Article: Christina Wegeberg, Adiran de Aguirre, Feliu Maseras, Christine J. McKenzie|2020|Inorg.Chem.|59|16281|doi:10.1021/acs.inorgchem.0c02063
DOI: 10.5517/ccdc.csd.cc25nl4l
title: CCDC 2015779: Experimental Crystal Structure Determination

description: Related Article: Christina Wegeberg, Adiran de Aguirre, Feliu Maseras, Christine J. McKenzie|2020|Inorg.Chem.|59|16281|doi:10.1021/acs.inorgchem.0c02063