cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7909736
title: EDS data of Notocupes spinosus (NIGP174673) and Notocupes daohugouensis (NIGP174675)

description: This dataset contains the raw energy dispersive X-ray spectroscopy (EDS) data for the holotype of Notocupes spinosus (NIGP174673) and Notocupes daohugouensis (NIGP174675) from the Jurassic Daohugou beds. This dataset is associated with the publication "New species of Notocupes from the Middle Jurassic Daohugou beds, with discussion on the circumscription of the genus" (DOI:10.11646/palaeoentomology.6.4.11).


EDS data were obtained with a TESCAN MAIA3 field emission scanning electron microscope. The original OIP project files are provided, which could be opened by the AZtec software. The exported elemental maps in TIF format are also provided.
DOI: 10.5281/zenodo.7909737
title: EDS data of Notocupes spinosus (NIGP174673) and Notocupes daohugouensis (NIGP174675)

description: This dataset contains the raw energy dispersive X-ray spectroscopy (EDS) data for the holotype of Notocupes spinosus (NIGP174673) and Notocupes daohugouensis (NIGP174675) from the Jurassic Daohugou beds. This dataset is associated with the publication "New species of Notocupes from the Middle Jurassic Daohugou beds, with discussion on the circumscription of the genus" (DOI:10.11646/palaeoentomology.6.4.11).


EDS data were obtained with a TESCAN MAIA3 field emission scanning electron microscope. The original OIP project files are provided, which could be opened by the AZtec software. The exported elemental maps in TIF format are also provided.
DOI: 10.5281/zenodo.10215305
title: Gaur
DOI: 10.5281/zenodo.10215306
title: Gaur
DOI: 10.6084/m9.figshare.24654486.v1
title: Supplemental file 1: Study Dataset (uncleaned)

description: Supplemental file 1: Study Dataset (uncleaned)
DOI: 10.6084/m9.figshare.24654486.v2
title: Supplemental file 2: Study Dataset (cleaned and weighted)

description: Supplemental file 2: Study Dataset (cleaned and weighted)
DOI: 10.6084/m9.figshare.24654486.v3
title: Supplemental file 3: Study’s Recommendations Codes Dataset

description: Supplemental file 3: Study’s Recommendations Codes Dataset
DOI: 10.6084/m9.figshare.13263881
title: How fast is Australia's broadband (vs Top Ten Trading Partners; Speedtest Global Index 2017-2023)?

description: This data collates an excerpt from Speedtest Global Index, over time (2018 - 2020), for Australia's Top Ten Trading Partners by imports and exports. Download speeds are in Mbps. Figures are rounded to nearest 5Mbps, except for % growth, and smallest observations.<br>Australia's Top 10 Trading Partners are sourced from:- Observatory of Economic Complexity (https://oec.world).<br>A version of this data (2018 - 19) was published in the Journal of Telecommunications and the Digital Economy (JTDE link below), Figure 3 (Ferrers 2020) in 2020, and presented at a Telsoc NBN Future Forum on Learning from International Experiences. Data from paper is at Figshare (link below).<br>File is provided in formats:- numbers with paper graph, and formulae- csv (for browsing)- png version of Figure 3 from JTDE paper.<br>This dataset is intended to be updated annually. Speedtest provides monthly updates.<br>NB: Switch to median speed per country from late 2021/2022.<br>Versions:v9 - Add data to 2023, India passes AU, add Top 10 AU Partners graph 2017 - 23.v8 - Add data to 2022, China passes US in speed. Add China/US graph at 2017-2022.v7 - NZ is twice as fast as AU. Pic and data excerpt.v6 - updated Dec 2020 figures. add graph 2018-2020.v5 - added link to Whirlpool, querying Australia's recent 40% jump in download vs ACCC Sept 2020 report - link belowv4 - simplified titlev3 - include graph image from JTDE paper (Figure 3) 2018 - 19.v2 - Amended title to include yearsv1 - Initial Load
DOI: 10.6084/m9.figshare.13263881.v8
title: How fast is Australia's broadband (vs Top Ten Trading Partners; Speedtest Global Index 2017-2020)?

description: This data collates an excerpt from Speedtest Global Index, over time (2018 - 2020), for Australia's Top Ten Trading Partners by imports and exports. Download speeds are in Mbps. Figures are rounded to nearest 5Mbps, except for % growth, and smallest observations. <br> Australia's Top 10 Trading Partners are sourced from: - Observatory of Economic Complexity (https://oec.world). <br> A version of this data (2018 - 19) was published in the Journal of Telecommunications and the Digital Economy (JTDE link below), Figure 3 (Ferrers 2020) in 2020, and presented at a Telsoc NBN Future Forum on Learning from International Experiences. Data from paper is at Figshare (link below). <br> File is provided in formats: - numbers with paper graph, and formulae - csv (for browsing) - png version of Figure 3 from JTDE paper. <br> This dataset is intended to be updated annually. Speedtest provides monthly updates. <br> NB: Switch to median speed per country from late 2021/2022. <br> Versions: v8 - Add data to 2022, China passes US in speed. Add China/US graph at 2017-2022. v7 - NZ is twice as fast as AU. Pic and data excerpt. v6 - updated Dec 2020 figures. add graph 2018-2020. v5 - added link to Whirlpool, querying Australia's recent 40% jump in download vs ACCC Sept 2020 report - link below v4 - simplified title v3 - include graph image from JTDE paper (Figure 3) 2018 - 19. v2 - Amended title to include years v1 - Initial Load
DOI: 10.6084/m9.figshare.24654855
title: Proteomics dataset for Membrane and Cytosolic proteins expression level from sheep with or without AFib

description: Proteomics raw data from sheep with or without AFib
DOI: 10.6084/m9.figshare.24654855.v1
title: Proteomics dataset for Membrane and Cytosolic proteins expression level from sheep with or without AFib

description: Proteomics raw data from sheep with or without AFib
DOI: 10.25984/1788084
title: City and County Energy Profiles

description: The City and County Energy Profiles lookup table provides modeled electricity and natural gas consumption and expenditures, on-road vehicle fuel consumption, vehicle miles traveled, and associated emissions for each U.S. city and county. Please note this data is modeled and more precise data may be available from regional, state, or other sources. The modeling approach for electricity and natural gas is described in Sector-Specific Methodologies for Subnational Energy Modeling: https://www.nrel.gov/docs/fy19osti/72748.pdf. This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and builds on Cities-LEAP energy modeling, available at the "EERE Cities-LEAP Page" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.
DOI: 10.25919/2eyt-sq35
title: Limits on prompt, dispersed radio pulses from gamma-ray bursts

description: This collection contains data from observations of known pulsars by the 12m antenna at Parkes, and were recorded as part of a survey to detect prompt radio emission from gamma-ray bursts. The collection contains data from observations of the following pulsars: B0203-40 B0403-76 B0531+21 B0538-75 B0736-40 B0833-45 B1641-45 B1737-30 J0437-4715 J0537-6910 J1107-5907 J1224-6407 J1359-6038 J1622-4950 J1634-5107 J1717-4054 J1832+0029
DOI: 10.21947/1959706
title: AWAKEN Site C1a - CU Profiling Lidar (Windcube v1) / Reviewed data

description: This dataset contains reviewed data from the AWAKEN Site C1a WindCube v1 Profiling Lidar from CU Boulder.
DOI: 10.26179/qdfe-ss46
title: Gravity and Snow Accumulation, Enderby Land 1975-76
DOI: 10.25345/c5n58cx2s
title: MassIVE MSV000093525 - H2Kb peptides from Taconic NASH mice
title: Isolated H2KB peptides from liver of control and NASH Taconic mice
DOI: 10.17608/k6.auckland.24654891
title: Additional Table 1

description: Additional table describing the vOTUs-representative UViGs identified in the participants in the Gut Bugs Trial, analysed in the manuscript "Phages modulate bacterial communities in the human gut following faecal transplantation". The UViGs have been described according to the latest MIUViG standards (November 10th 2023).
DOI: 10.17608/k6.auckland.24654891.v1
title: Additional Table 1

description: Additional table describing the vOTUs-representative UViGs identified in the participants in the Gut Bugs Trial, analysed in the manuscript "Phages modulate bacterial communities in the human gut following faecal transplantation". The UViGs have been described according to the latest MIUViG standards (November 10th 2023).
DOI: 10.21947/1999176
title: Site C1 UTD Sonic Anemometer / Reviewed Data

description: This dataset contains reviewed data from the AWAKEN Site C1 UTD Sonic Anemometer.
DOI: 10.21947/2205734
title: AWAKEN Site A1 - NREL Profiling Lidar (Windcube v2.1) / Raw Data

description: This dataset contains raw data from NREL's profiling lidar (Windcube v2.1) at AWAKEN site A1. Two data types are included here: 1) STA files, which have 10-minute average data, and 2) RTD files, which have real time data, at about 1 Hz resolution.
DOI: 10.21947/2222455
title: AWAKEN Site A2 Profiling Lidar (Windcube v2.1) / Raw Data

description: This dataset contains raw data from the profiling lidar (Windcube v2.1) at AWAKEN site A2. Two data types are included here: 1) STA files, which have 10-minute average data, and 2) RTD files, which have real time data, at about 1 Hz resolution.
DOI: 10.21947/2222456
title: AWAKEN Site H HALO XR Lidar / Raw Data

description: These data are scanning Doppler lidar measurements from the deployment of a HALO XR at AWAKEN site H. The measurements include calibrated beam azimuth angles, radial velocity, backscatter, signal to noise ratio per each line of sight, and range-gate.
DOI: 10.5281/zenodo.10215073
title: Dataset for TransBind

description: The Dataset contains the following data:
DNA binding Protein datasets:

PDB 1075 (Raw data)
PDB 1075 (ProtTrans features)
PDB 186 (Raw data)
PDB 186 (ProtTrans features)
Best Model for protein level task
DNA binding Amino Acid datasets:

PDNA 224 (Raw data and ProtTrans Features)
PDNA 316 (Raw data and ProtTrans Features)
PDNA 543 (Raw data and ProtTrans Features)
PDNA 41 (Raw data and ProtTrans Features)
Best model for residue level task
DOI: 10.5281/zenodo.10215072
title: Dataset for TransBind

description: The Dataset contains the following data:
DNA binding Protein datasets:

PDB 1075 (Raw data)
PDB 1075 (ProtTrans features)
PDB 186 (Raw data)
PDB 186 (ProtTrans features)
Best Model for protein level task
DNA binding Amino Acid datasets:

PDNA 224 (Raw data and ProtTrans Features)
PDNA 316 (Raw data and ProtTrans Features)
PDNA 543 (Raw data and ProtTrans Features)
PDNA 41 (Raw data and ProtTrans Features)
Best model for residue level task
DOI: 10.5281/zenodo.10215291
title: H-κ-c results in central-southern Tibetan Plateau and receiver functions from GANSSER, Butan Pilot Array, and 5 INDEPTH IV stations
DOI: 10.5281/zenodo.10215292
title: H-κ-c results in central-southern Tibetan Plateau and receiver functions from GANSSER, Butan Pilot Array, and 5 INDEPTH IV stations
DOI: 10.25442/hku.24634710
title: <i>Supporting data for “Theorising ‘arts tech’: Mediations between art objects, people and policy in Hong Kong’s creative industry”</i>

description: This research draws on a year of ethnographic research in a Hong Kong cross-media creative studio, where I participated in the planning and creation of numerous arts tech projects, complemented by interviewing studio members and their project collaborators. By focusing on the artefacts created through these projects, my research uncovers the productive tensions existing between the policymakers, commercial marketers and creative practitioners from objectives to practices in applying technologies to arts productions in Hong Kong. Existing studies of the cultural and creative industries or creative workers in both Western and Asian contexts mainly focus upon and theorise with inter-human relationships. Material objects have primarily been classed as ‘tools’ or ‘media’ in analysis. In this research, I offer another approach to studying the cultural and creative industries and creative workers by putting the significance of material objects in the foreground, using case studies of arts tech development in recent Hong Kong.This dataset contains: 1) the fieldnotes of my participant observation at the studied creative studio, during which I recorded the behaviours of the studio employees and all my interactions with them. 2) Metadata of individual interviews. I agreed with all interviewees at the written consent form that the interview content cannot be shared with any third party. The demographic and occupation information and interview dates are recorded in this metadata. 3) Metadata of photos and videos that I took during my participant observation. Record format, date of taking and short description of photos and videos are recorded in this metadata file.
DOI: 10.25442/hku.24634710.v1
title: <i>Supporting data for “Theorising ‘arts tech’: Mediations between art objects, people and policy in Hong Kong’s creative industry”</i>

description: This research draws on a year of ethnographic research in a Hong Kong cross-media creative studio, where I participated in the planning and creation of numerous arts tech projects, complemented by interviewing studio members and their project collaborators. By focusing on the artefacts created through these projects, my research uncovers the productive tensions existing between the policymakers, commercial marketers and creative practitioners from objectives to practices in applying technologies to arts productions in Hong Kong. Existing studies of the cultural and creative industries or creative workers in both Western and Asian contexts mainly focus upon and theorise with inter-human relationships. Material objects have primarily been classed as ‘tools’ or ‘media’ in analysis. In this research, I offer another approach to studying the cultural and creative industries and creative workers by putting the significance of material objects in the foreground, using case studies of arts tech development in recent Hong Kong.This dataset contains: 1) the fieldnotes of my participant observation at the studied creative studio, during which I recorded the behaviours of the studio employees and all my interactions with them. 2) Metadata of individual interviews. I agreed with all interviewees at the written consent form that the interview content cannot be shared with any third party. The demographic and occupation information and interview dates are recorded in this metadata. 3) Metadata of photos and videos that I took during my participant observation. Record format, date of taking and short description of photos and videos are recorded in this metadata file.
DOI: 10.21227/tjgg-5p81
title: Bibliographic Analysis Data of Privacy Protection in AI Environment (1994 - 2023)

description: This paper conducts a systematic bibliometric analysis in the Artificial Intelligence (AI) domain to explore privacy protection research as AI technologies integrate and data privacy concerns rise. Understanding evolutionary patterns and current trends in this research is crucial. Leveraging bibliometric techniques, the authors analyze 8,322 papers from the Web of Science (WoS) database, spanning 1990 to 2023. The analysis highlights IEEE Transactions on Knowledge and Data Engineering and IEEE Access journals as highly influential, the former being an early contributor and the latter emerging as a pivotal source. The study demonstrates substantial disparities in scientific productivity across countries. Specifically, the top 10 countries collectively accounted for 74.8% of the articles, with China and the USA making up nearly half of the total contribution (46.1%). In contrast, regions in Africa and South America exhibited lower scientific production. The evolution of privacy preservation research is reflected, shifting from an algorithm-oriented approach to a focus on data orientation, and subsequently, to privacy solutions centered around Cloud Computing. In recent years, there has been a shift towards embracing Federated Learning and Differential Privacy. The analysis brings to light emerging themes and identifies research gaps, notably a global disparity in research output and a lag in ethical and legal inquiry. In detail, it asserts that enhanced interdisciplinary collaboration is imperative to formulate comprehensive privacy solutions for AI. Specifically, the paper imparts invaluable insights that are pivotal for effectively addressing the evolving privacy concerns in the era of AI and big data.
DOI: 10.5281/zenodo.10215457
title: Results of coccolith assemblage and reconstructed primary productivity over the Holocene of marine sediment cores MD77-191 and MD98-2152
DOI: 10.5517/ccdc.csd.cc2dmpc3
title: CCDC 2223455: Experimental Crystal Structure Determination

description: Related Article: Jeremy Demarteau, Benjamin Cousineau, Zilong Wang, Baishakhi Bose, Seokjung Cheong, Guangxu Lan, Nawa R. Baral, Simon J. Teat, Corinne D. Scown, Jay D. Keasling, Brett A. Helms|2023|Nature Sustainability|6|1426|doi:10.1038/s41893-023-01160-2
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.cc2dmpd4
title: CCDC 2223456: Experimental Crystal Structure Determination

description: Related Article: Jeremy Demarteau, Benjamin Cousineau, Zilong Wang, Baishakhi Bose, Seokjung Cheong, Guangxu Lan, Nawa R. Baral, Simon J. Teat, Corinne D. Scown, Jay D. Keasling, Brett A. Helms|2023|Nature Sustainability|6|1426|doi:10.1038/s41893-023-01160-2
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.cc2dmpf5
title: CCDC 2223457: Experimental Crystal Structure Determination

description: Related Article: Jeremy Demarteau, Benjamin Cousineau, Zilong Wang, Baishakhi Bose, Seokjung Cheong, Guangxu Lan, Nawa R. Baral, Simon J. Teat, Corinne D. Scown, Jay D. Keasling, Brett A. Helms|2023|Nature Sustainability|6|1426|doi:10.1038/s41893-023-01160-2
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: 10.25612/837.e3q0oklg5687
title: Housing Cost Burden by Community Tabulation Area

description: Cost of housing as a percentage of household income by CTA. Different measures distinguish between renter-occupied and owner-occupied households.
DOI: 10.6084/m9.figshare.24655320
title: <b>Pretreatment with inflammatory factors TNF-α</b><b> and IFN-γ</b><b> </b><b>altered the gene expression profile of human amniotic epithelial cells and their secretome</b>

description: Human amniotic epithelial cells (hAECs) are novel and promising therapeutic agents for patients suffering from degenerative diseases. Studies have demonstrated that the therapeutic effects of hAECs mainly depend on their paracrine components. Appropriate pretreatment is a widely confirmed strategy for enhancing the repair potential of stem cells; however, the effect of proinflammatory factor pretreatment on hAECs and their secretome is still unclear.In this study, we used the well-characterized proinflammatory factors tumor necrosis factor alpha (TNF-α) and interferon gamma (IFN-γ) to stimulate hAECs and analyzed the effect of TNF-α and IFN-γ on hAECs, including gene expression profile, paracrine proteins and miRNAs in exosomes. Results showed that TNF-α and IFN-γ pretreatment improved the viability of hAECs, but inhibited the proliferation of hAECs. TNF-α and IFN-γ pretreatment altered the gene expression profile of hAECs, and upregulated differentially expressed genes (DEGs) were predominantly enriched in biological adhesion, antioxidant activity and response to IFN-beta. In addition, TNF-α and IFN-γ pretreatment enhanced the paracrine secretion of cytokines by hAECs. The upregulated differentially expressed proteins (DEPs) were mainly enriched in tissue remodeling proteins and cytokine-cytokine receptor. Notably, the expression of miRNAs in exosomes from hAECs was changed by TNF-α and IFN-γ pretreatment. The target genes of upregulated exosomal miRNAs substantially contributed to the response to stimulus, metabolic pathways and PI3K-Akt signaling pathway.Our findings improve our understanding of the biological characteristics of hAECs after proinflammatory factor pretreatment and provide novel insights to strengthen and optimize the therapeutic potential of hAECs and their secretome in regenerative medicine.
DOI: 10.6084/m9.figshare.24655320.v1
title: <b>Pretreatment with inflammatory factors TNF-α</b><b> and IFN-γ</b><b> </b><b>altered the gene expression profile of human amniotic epithelial cells and their secretome</b>

description: Human amniotic epithelial cells (hAECs) are novel and promising therapeutic agents for patients suffering from degenerative diseases. Studies have demonstrated that the therapeutic effects of hAECs mainly depend on their paracrine components. Appropriate pretreatment is a widely confirmed strategy for enhancing the repair potential of stem cells; however, the effect of proinflammatory factor pretreatment on hAECs and their secretome is still unclear.In this study, we used the well-characterized proinflammatory factors tumor necrosis factor alpha (TNF-α) and interferon gamma (IFN-γ) to stimulate hAECs and analyzed the effect of TNF-α and IFN-γ on hAECs, including gene expression profile, paracrine proteins and miRNAs in exosomes. Results showed that TNF-α and IFN-γ pretreatment improved the viability of hAECs, but inhibited the proliferation of hAECs. TNF-α and IFN-γ pretreatment altered the gene expression profile of hAECs, and upregulated differentially expressed genes (DEGs) were predominantly enriched in biological adhesion, antioxidant activity and response to IFN-beta. In addition, TNF-α and IFN-γ pretreatment enhanced the paracrine secretion of cytokines by hAECs. The upregulated differentially expressed proteins (DEPs) were mainly enriched in tissue remodeling proteins and cytokine-cytokine receptor. Notably, the expression of miRNAs in exosomes from hAECs was changed by TNF-α and IFN-γ pretreatment. The target genes of upregulated exosomal miRNAs substantially contributed to the response to stimulus, metabolic pathways and PI3K-Akt signaling pathway.Our findings improve our understanding of the biological characteristics of hAECs after proinflammatory factor pretreatment and provide novel insights to strengthen and optimize the therapeutic potential of hAECs and their secretome in regenerative medicine.