cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.21639791
title: Supporting data for "Rethinking the Social and Cultural Geographies of Innovation: A Case Study of Maker Movement in Shenzhen, China"

description: This dataset includes first-hand data about the ecologies of the local maker movement collected in Shenzhen, China. Audio recordings of interviews with 50 interviewees (i.e. makerspaces staff members, makers, and other key players in the ecosystem of "making") together with their corresponding transcripts are included. Photos from observation in the two renowned makerspaces "CHAIHUO" and "HAX" as well as other supply chain businesses are also contained.
DOI: 10.25442/hku.21639791.v1
title: Supporting data for "Rethinking the Social and Cultural Geographies of Innovation: A Case Study of Maker Movement in Shenzhen, China"

description: This dataset includes first-hand data about the ecologies of the local maker movement collected in Shenzhen, China. Audio recordings of interviews with 50 interviewees (i.e. makerspaces staff members, makers, and other key players in the ecosystem of "making") together with their corresponding transcripts are included. Photos from observation in the two renowned makerspaces "CHAIHUO" and "HAX" as well as other supply chain businesses are also contained.
DOI: 10.25442/hku.21640133
title: Supporting data for “Globular Clusters Constributing to the Nuclear Star Cluster and Galaxy Center Gamma Ray Excess”

description: This is the dataset containing the evolution results of globular clusters (GCs) and their deposition, with a README instruction. These data were used to plot the distribution of GC properties at z=0 in validification of the GC evolution model proposed in this study, and to generate corresponding nuclear star cluster and gamma ray excess predictions for comparison with observations.
DOI: 10.25442/hku.21640133.v1
title: Supporting data for “Globular Clusters Constributing to the Nuclear Star Cluster and Galaxy Center Gamma Ray Excess”

description: This is the dataset containing the evolution results of globular clusters (GCs) and their deposition, with a README instruction. These data were used to plot the distribution of GC properties at z=0 in validification of the GC evolution model proposed in this study, and to generate corresponding nuclear star cluster and gamma ray excess predictions for comparison with observations.
DOI: 10.25442/hku.21646610
title: Supplementary data for 'Fear of COVID-19 in Hong Kong and its sociodemographic and personal and family psycho-behavioural correlates'

description: This dataset includes data collected from the Family Amidst COVID-19 online survey in May 2020, by the Hong Kong Jockey Club SMART Family-Link Project.
DOI: 10.25442/hku.21646610.v1
title: Supplementary data for 'Fear of COVID-19 in Hong Kong and its sociodemographic and personal and family psycho-behavioural correlates'

description: This dataset includes data collected from the Family Amidst COVID-19 online survey in May 2020, by the Hong Kong Jockey Club SMART Family-Link Project.
DOI: 10.25442/hku.21669593
title: Supporting data for the study of extracellular vesicles derived from virus-infected Talaromyces marneffei

description: The dataset contains data files illustrating the results found for the study discussed expanding the current knowledge on the extracellular vesicles derived from virus-infected <em>Talaromyces marneffei</em>. Both qualitative and quantitative data are generated from various experiments and analyzed by a range of software. The results are presented in different formats and categorized into subfolders.
DOI: 10.25442/hku.21669593.v1
title: Supporting data for the study of extracellular vesicles derived from virus-infected Talaromyces marneffei

description: The dataset contains data files illustrating the results found for the study discussed expanding the current knowledge on the extracellular vesicles derived from virus-infected <em>Talaromyces marneffei</em>. Both qualitative and quantitative data are generated from various experiments and analyzed by a range of software. The results are presented in different formats and categorized into subfolders.
DOI: 10.25442/hku.21670358
title: Supporting data for Development of a novel enrichment panel for sequencing and a tailored data analysis pipeline for molecular diagnosis of primary immunodeficiencies

description: This EXCEL file contains two sheets. The first sheet contains the metadata of the molecular diagnosis result from a batch of primary immunodeficiency patients. The content is confidential and contains information about patients. <br> The second sheet contains a link and a path to the filesystem of the HKU CPOS HPCF2 server. Both direct to a repository containing all the source code used to perform molecular diagnosis of the patients recorded in the first sheet. The repository is currently not publicly available since the source code used to perform molecular diagnosis may be further used for future publications
DOI: 10.25442/hku.21670358.v1
title: Supporting data for Development of a novel enrichment panel for sequencing and a tailored data analysis pipeline for molecular diagnosis of primary immunodeficiencies

description: This EXCEL file contains two sheets. The first sheet contains the metadata of the molecular diagnosis result from a batch of primary immunodeficiency patients. The content is confidential and contains information about patients. <br> The second sheet contains a link and a path to the filesystem of the HKU CPOS HPCF2 server. Both direct to a repository containing all the source code used to perform molecular diagnosis of the patients recorded in the first sheet. The repository is currently not publicly available since the source code used to perform molecular diagnosis may be further used for future publications
DOI: 10.25982/88325.84/1855758
title: DRAM example narrative

description: DRAM example narrative DRAM on KBase let's anyone run annotations using DRAM in the cloud. DRAM is an annotation tool that can annotate bacterial, archaeal and viral genomes and distills those annotatios into represetations of the functional genomic potential of those organisms. If you want to read more about DRAM you can check out the GitHub, wiki and journal article. DRAM annotate assemblies In KBase Assembly objects contain nucleotide sequences from genomes or metagenomes. DRAM can predict genes and annotate their function from KBase Assembly objects which may be microbial isolate genomes, metagenome assembled genomes or metagenomes. This is done with the Annotate and Distill Assemblies with DRAM app. This app can also anntoate AssemblySet objects which contain collection of Assembly objects. It also generates a Genome object and a GenomeSet object which can be used for further analysis with other KBase apps. The full annotations and other DRAM files are also available for download in the app.
DOI: 10.6084/m9.figshare.21498600.v1
title: A device blueprint of the nanobeam cavity design

description: A device blueprint of the nanobeam cavity design with a 6 nm bridge width and one wavelength design domain size. Comma separated values are listed as x-coordinates, y-coordinates and design variables. For the design variables, zeros represent the void and ones represent the solid structure. The complete structure can be obtained by extruding 2D design into 3D design.
DOI: 10.6084/m9.figshare.20217611
title: The productive performance of intercropping

description: This repository provides access to the dataset used to conduct the meta-analysis on the productive performance of intercropping published in PNAS (DOI: 10.1073/pnas.2201886120). Three files are provided, named as “Dataset.csv,” “Variables in the dataset.xlsx”, and “R script.R”. The file “Dataset.csv” includes 934 data records collected from 226 field experiments on intercropping, described in 132 publications (see the Materials and Methods of the paper). Each row of this dataset corresponds to one record. The record descriptors are presented in 50 columns, providing information on the publication (title, year and authors), species combination, the yields and N fertilizer rates of both sole crops and intercrops, intercropping design, intercropping pattern, number of replicates and so on. The file named “Variables in the dataset.xlsx” includes the meta-data and define all the variables (columns) included in the file “Dataset.csv”. The file “R script.R” includes the R scripts used to analyze the data and generate the figures presented in the paper.
DOI: 10.5281/zenodo.7435275
title: Supplemental Information in Support of "Moment tensor event identification for collapses"

description: Supplemental Information in support of manuscript "Moment tensor event identification for collapses". File 00_Collapse_MT_Table.csv is a summary of moment tensor solutions for all of the collapses in this manuscript. A Jupyter notebook (file 00_Collapse_MT_Table.ipynb) is provided which loads the information from the provided table and creates an example plot of one of the full moment tensor solutions and plots all the solutions on a global map. The notebook creates two PNG images mt.png and map.png which are also provided. Directories (e.g., 1980-06-12_Southern_Nevada) contain figures showing waveform fits for the collapses. For each event, the waveforms to the left show displacement data (black) and synthetics (red - used in inversion, blue - predicted only) for the vertical, radial, and transverse components. Detailed information about the event and the moment tensor solution are provided on the right-hand side of the last figure.
DOI: 10.5281/zenodo.7435274
title: Supplemental Information in Support of "Moment tensor event identification for collapses"

description: Supplemental Information in support of manuscript "Moment tensor event identification for collapses". File 00_Collapse_MT_Table.csv is a summary of moment tensor solutions for all of the collapses in this manuscript. A Jupyter notebook (file 00_Collapse_MT_Table.ipynb) is provided which loads the information from the provided table and creates an example plot of one of the full moment tensor solutions and plots all the solutions on a global map. The notebook creates two PNG images mt.png and map.png which are also provided. Directories (e.g., 1980-06-12_Southern_Nevada) contain figures showing waveform fits for the collapses. For each event, the waveforms to the left show displacement data (black) and synthetics (red - used in inversion, blue - predicted only) for the vertical, radial, and transverse components. Detailed information about the event and the moment tensor solution are provided on the right-hand side of the last figure.
DOI: 10.25451/flinders.19130732.v1
title: Mapping brain regions processing colorectal nociception

description: Extrinsic nerves innervating the colon are important to the regulation and integration of autonomic (i.e. motility) and sensory (i.e. pain) functions. This study aimed to identify the brain circuits into which extrinsic nerves from the distal colon convey nociceptive information in the mouse. Anterograde trans-neuronal tracing with herpes simplex virus 1 expressing EGFP (HSV-H129-EGFP) was used from the colorectum to map the neuronal expression of EGFP in the CNS in a time dependent manner (ANS 2019 poster attached). To identify brain regions engaged by colonic nociceptive stimuli the number of neurons activated by noxious in vivo colorectal distension was compared to that evoked by no distension (2021 Global Connectome poster attached). Male and female mice allowed for sex comparisons in how colorectal pain processing may be differentially processed within central pathways.
DOI: 10.25451/flinders.19130732
title: Mapping brain regions processing colorectal nociception

description: Extrinsic nerves innervating the colon are important to the regulation and integration of autonomic (i.e. motility) and sensory (i.e. pain) functions. This study aimed to identify the brain circuits into which extrinsic nerves from the distal colon convey nociceptive information in the mouse. Anterograde trans-neuronal tracing with herpes simplex virus 1 expressing EGFP (HSV-H129-EGFP) was used from the colorectum to map the neuronal expression of EGFP in the CNS in a time dependent manner (ANS 2019 poster attached). To identify brain regions engaged by colonic nociceptive stimuli the number of neurons activated by noxious in vivo colorectal distension was compared to that evoked by no distension (2021 Global Connectome poster attached). Male and female mice allowed for sex comparisons in how colorectal pain processing may be differentially processed within central pathways.
DOI: 10.6084/m9.figshare.21721436
title: C-iTRACE SALT Ocean

description: Ocean salinity from an isotope enabled coarse resolution (3˚), ocean-only simulation run from the LGM (22ka) to present day using iPOP2. Reprocessed original netcdf3 file to netcdf4 using Xarray
DOI: 10.6084/m9.figshare.21721436.v1
title: C-iTRACE SALT Ocean

description: Ocean salinity from an isotope enabled coarse resolution (3˚), ocean-only simulation run from the LGM (22ka) to present day using iPOP2. Reprocessed original netcdf3 file to netcdf4 using Xarray
DOI: 10.5517/ccdc.csd.cc2861yh
title: CCDC 2091196: Experimental Crystal Structure Determination

description: Related Article: Lidong Shan, Hongchen Li, Weiping Zheng, Xingyong Wang, Xinyan Wang, Yuefei Hu|2022|Org.Lett.|24|8806|doi:10.1021/acs.orglett.2c03565
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.cc2862bx
title: CCDC 2091208: Experimental Crystal Structure Determination

description: Related Article: Lidong Shan, Hongchen Li, Weiping Zheng, Xingyong Wang, Xinyan Wang, Yuefei Hu|2022|Org.Lett.|24|8806|doi:10.1021/acs.orglett.2c03565
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.cc28lmcw
title: CCDC 2103268: Experimental Crystal Structure Determination

description: Related Article: Quanzhong Wang, Hui Wang, Xin Hu, Zhiming Fan, Yingyue Wang, Pengtao Ma, Jingyang Niu, Jingping Wang|2022|Inorg.Chem.|61|19764|doi:10.1021/acs.inorgchem.2c02817
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: 10.26188/19978076.v3
title: Supp_Tables

description: Supplementary tables
DOI: 10.26180/21533760
title: Spatial Monitoring and Insect Behavioural Analysis Dataset

description: Insects are the most important global pollinator of crops and play a key role in maintaining the sustainability of natural ecosystems. Insect pollination monitoring and management are therefore essential for improving crop production and food security. Computer vision-facilitated pollinator monitoring can intensify data collection over what is feasible using manual approaches. We introduce a novel system to facilitate markerless data capture for insect counting, insect motion tracking, behaviour analysis and pollination prediction across large agricultural areas. Our system is comprised of edge computing multi-point video recording, offline automated multi-species insect counting, tracking and behavioural analysis. We implement and test our system on a commercial berry farm to demonstrate its capabilities. This dataset contains movement tracks for four insect varieties and flowers recorded across nine monitoring stations within polytunnels in a strawberry farm. Insect tracks include details on flower visits, recorded locations and sighted times. Insect varieties included in the dataset are honeybees (1805 tracks), Syrphidae (85 tracks), Lepidoptera (100 tracks) and Vespids (345 tracks). This upload also consists of software to analyse pollination and visualise insect trajectories. In addition, it contains an annotated dataset of images from the four classes for YOLOv4 object detection model training and testing and a dataset of ten videos used for the system evaluation. <br>
DOI: 10.26180/21533760.v1
title: Spatial Monitoring and Insect Behavioural Analysis Dataset

description: Insects are the most important global pollinator of crops and play a key role in maintaining the sustainability of natural ecosystems. Insect pollination monitoring and management are therefore essential for improving crop production and food security. Computer vision-facilitated pollinator monitoring can intensify data collection over what is feasible using manual approaches. We introduce a novel system to facilitate markerless data capture for insect counting, insect motion tracking, behaviour analysis and pollination prediction across large agricultural areas. Our system is comprised of edge computing multi-point video recording, offline automated multi-species insect counting, tracking and behavioural analysis. We implement and test our system on a commercial berry farm to demonstrate its capabilities. This dataset contains movement tracks for four insect varieties and flowers recorded across nine monitoring stations within polytunnels in a strawberry farm. Insect tracks include details on flower visits, recorded locations and sighted times. Insect varieties included in the dataset are honeybees (1805 tracks), Syrphidae (85 tracks), Lepidoptera (100 tracks) and Vespids (345 tracks). This upload also consists of software to analyse pollination and visualise insect trajectories. In addition, it contains an annotated dataset of images from the four classes for YOLOv4 object detection model training and testing and a dataset of ten videos used for the system evaluation. <br>
DOI: 10.5281/zenodo.7430812
title: Test Landsat data of RaBET

description: A test dataset of Landsat images from collection 1 level 2 and collection 2 level 1 in the area of MLRA 41
DOI: 10.5281/zenodo.7430811
title: Test Landsat data of RaBET

description: A test dataset of Landsat images from collection 1 level 2 and collection 2 level 1 in the area of MLRA 41
DOI: 10.18112/openneuro.ds001787.v1.1.0
title: EEG meditation study
DOI: 10.5517/ccdc.csd.cc29xp97
title: CCDC 2142729: Experimental Crystal Structure Determination

description: Related Article: Lauren E. Wenger, Nicholas M. Shawver, William W. Brennessel, Brian K. Long, Timothy P. Hanusa|2022|Organometallics|41|3718|doi:10.1021/acs.organomet.2c00482
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.cc29xpb8
title: CCDC 2142730: Experimental Crystal Structure Determination

description: Related Article: Lauren E. Wenger, Nicholas M. Shawver, William W. Brennessel, Brian K. Long, Timothy P. Hanusa|2022|Organometallics|41|3718|doi:10.1021/acs.organomet.2c00482
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.cc2b6vdt
title: CCDC 2151536: Experimental Crystal Structure Determination

description: Related Article: Lidong Shan, Hongchen Li, Weiping Zheng, Xingyong Wang, Xinyan Wang, Yuefei Hu|2022|Org.Lett.|24|8806|doi:10.1021/acs.orglett.2c03565
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.cc2b6vfv
title: CCDC 2151537: Experimental Crystal Structure Determination

description: Related Article: Lidong Shan, Hongchen Li, Weiping Zheng, Xingyong Wang, Xinyan Wang, Yuefei Hu|2022|Org.Lett.|24|8806|doi:10.1021/acs.orglett.2c03565
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.cc2clykh
title: CCDC 2192957: Experimental Crystal Structure Determination

description: Related Article: Dan Gao, Tao Ding, Wei-Wei Yan, Li-Na Zheng, Ke-Feng Xie, Zi-Wei Gao|2022|Inorg.Chem.|61|20026|doi:10.1021/acs.inorgchem.2c03319
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.cc2cnfwc
title: CCDC 2194393: Experimental Crystal Structure Determination

description: Related Article: Bao G. Tran, Veronica Carta, Maren Pink, Kenneth G. Caulton, Jeremy M. Smith|2022|Inorg.Chem.|61|19800|doi:10.1021/acs.inorgchem.2c02931
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.cc2cnfxd
title: CCDC 2194394: Experimental Crystal Structure Determination

description: Related Article: Bao G. Tran, Veronica Carta, Maren Pink, Kenneth G. Caulton, Jeremy M. Smith|2022|Inorg.Chem.|61|19800|doi:10.1021/acs.inorgchem.2c02931
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.cc2cnfyf
title: CCDC 2194395: Experimental Crystal Structure Determination

description: Related Article: Bao G. Tran, Veronica Carta, Maren Pink, Kenneth G. Caulton, Jeremy M. Smith|2022|Inorg.Chem.|61|19800|doi:10.1021/acs.inorgchem.2c02931
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.