cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12965538
title: Additional file 15 of A non-photosynthetic green alga illuminates the reductive evolution of plastid electron transport systems

description: Additional file 15. Table S6. Parameters of the Q3 product ion scan in the positive ion mode of the mass spectrometer used in the present study.
DOI: 10.6084/m9.figshare.12965562
title: Additional file 8 of A non-photosynthetic green alga illuminates the reductive evolution of plastid electron transport systems

description: Additional file 8. Table S3. Detected sequences for electron transport systems in non-photosynthetic species of algal and plant lineages.
DOI: 10.6084/m9.figshare.12965562.v1
title: Additional file 8 of A non-photosynthetic green alga illuminates the reductive evolution of plastid electron transport systems

description: Additional file 8. Table S3. Detected sequences for electron transport systems in non-photosynthetic species of algal and plant lineages.
DOI: 10.6084/m9.figshare.12965565
title: Additional file 9 of A non-photosynthetic green alga illuminates the reductive evolution of plastid electron transport systems

description: Additional file 9. Table S4. Detected sequences for representative plastid metabolic functions in the non-photosynthetic eudicot plant Monotropa hypopytis.
DOI: 10.6084/m9.figshare.12965574
title: Additional file 3 of NAUTICA: classifying transcription factor interactions by positional and protein-protein interaction information

description: Additional file 3: Table ST2. List of manually validated and novel NAUTICA predictions with highest N_12
DOI: 10.6084/m9.figshare.12965577
title: Additional file 4 of NAUTICA: classifying transcription factor interactions by positional and protein-protein interaction information

description: Additional file 4: Table ST3. χ2 and P values according to bins for COOP versus NINT relative risk / odds ratio analysis.
DOI: 10.6084/m9.figshare.12965574.v1
title: Additional file 3 of NAUTICA: classifying transcription factor interactions by positional and protein-protein interaction information

description: Additional file 3: Table ST2. List of manually validated and novel NAUTICA predictions with highest N_12
DOI: 10.6084/m9.figshare.12965577.v1
title: Additional file 4 of NAUTICA: classifying transcription factor interactions by positional and protein-protein interaction information

description: Additional file 4: Table ST3. χ2 and P values according to bins for COOP versus NINT relative risk / odds ratio analysis.
DOI: 10.6084/m9.figshare.12965571.v1
title: Additional file 2 of NAUTICA: classifying transcription factor interactions by positional and protein-protein interaction information

description: Additional file 2: Table ST1. Listing of datasets TR and TS
DOI: 10.6084/m9.figshare.12965571
title: Additional file 2 of NAUTICA: classifying transcription factor interactions by positional and protein-protein interaction information

description: Additional file 2: Table ST1. Listing of datasets TR and TS
DOI: 10.6084/m9.figshare.12965750.v1
title: Additional file 24 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 24: Table S7. Dissimilatory sulfate reduction sequences (dsrAB) identified in microbial dark matter MAGs in this study.
DOI: 10.6084/m9.figshare.12965747.v1
title: Additional file 23 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 23: Table S6. Relative abundance of the archaeal community in Shark Bay microbial mats. Green boxes indicate archaea affiliated with microbial dark matter.
DOI: 10.6084/m9.figshare.12965747
title: Additional file 23 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 23: Table S6. Relative abundance of the archaeal community in Shark Bay microbial mats. Green boxes indicate archaea affiliated with microbial dark matter.
DOI: 10.6084/m9.figshare.12965729
title: Additional file 18 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 18: Table S1. Genome statistics of 24 high quality MDM MAGs and 91 medium quality MDM MAGs.
DOI: 10.6084/m9.figshare.12965753
title: Additional file 25 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 25: Table S8. Reductive dehalogenase sequences identified in microbial dark matter MAGs in this study.
DOI: 10.6084/m9.figshare.12965729.v1
title: Additional file 18 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 18: Table S1. Genome statistics of 24 high quality MDM MAGs and 91 medium quality MDM MAGs.
DOI: 10.6084/m9.figshare.12965732
title: Additional file 19 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 19: Table S2. Rhodopsin sequences, BLAST results and reference rhodopsin sequences used in Additional file 2: Figure S1.
DOI: 10.6084/m9.figshare.12965738
title: Additional file 20 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 20: Table S3. Table indicating the presence and absence of a wide range of genes involved in different metabolic pathways. Green boxes indicate presence of genes while white boxes indicate absence of genes.
DOI: 10.6084/m9.figshare.12965741.v1
title: Additional file 21 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 21: Table S4. RuBisCo sequences, BLAST results and reference RuBisCo sequences used in Fig. 5.
DOI: 10.6084/m9.figshare.12965738.v1
title: Additional file 20 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 20: Table S3. Table indicating the presence and absence of a wide range of genes involved in different metabolic pathways. Green boxes indicate presence of genes while white boxes indicate absence of genes.
DOI: 10.6084/m9.figshare.12965741
title: Additional file 21 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 21: Table S4. RuBisCo sequences, BLAST results and reference RuBisCo sequences used in Fig. 5.
DOI: 10.6084/m9.figshare.12965753.v1
title: Additional file 25 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 25: Table S8. Reductive dehalogenase sequences identified in microbial dark matter MAGs in this study.
DOI: 10.6084/m9.figshare.12965744
title: Additional file 22 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 22: Table S5. Relative abundance of the bacterial community in Shark Bay microbial mats. Green boxes indicate bacteria affiliated with microbial dark matter.
DOI: 10.6084/m9.figshare.12965750
title: Additional file 24 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 24: Table S7. Dissimilatory sulfate reduction sequences (dsrAB) identified in microbial dark matter MAGs in this study.
DOI: 10.6084/m9.figshare.12965744.v1
title: Additional file 22 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 22: Table S5. Relative abundance of the bacterial community in Shark Bay microbial mats. Green boxes indicate bacteria affiliated with microbial dark matter.
DOI: 10.6084/m9.figshare.12965786.v1
title: Additional file 2 of miRTissue ce: extending miRTissue web service with the analysis of ceRNA-ceRNA interactions

description: Additional file 2 Full list of enriched genes according to BP, MF, CC categories, and pathway analysis.
DOI: 10.6084/m9.figshare.12965786
title: Additional file 2 of miRTissue ce: extending miRTissue web service with the analysis of ceRNA-ceRNA interactions

description: Additional file 2 Full list of enriched genes according to BP, MF, CC categories, and pathway analysis.
DOI: 10.6084/m9.figshare.12965732.v1
title: Additional file 19 of Microbial dark matter filling the niche in hypersaline microbial mats

description: Additional file 19: Table S2. Rhodopsin sequences, BLAST results and reference rhodopsin sequences used in Additional file 2: Figure S1.
DOI: 10.6084/m9.figshare.12965802.v1
title: Additional file 3 of Multi-model seascape genomics identifies distinct environmental drivers of selection among sympatric marine species

description: Additional file 3. The seascape features considered in the gene-environment association analyses, shown as values per sample site, as well as the Spearman’s R coefficients and p-values between variables.
DOI: 10.6084/m9.figshare.12965805.v1
title: Additional file 4 of Multi-model seascape genomics identifies distinct environmental drivers of selection among sympatric marine species

description: Additional file 4. BLAST results against NCBI non-redundant protein sequences, including the species, contig ID and length, protein match, E-value, and mean percent identical. The Gene Ontology (GO) terms from Blast2GO are also shown.
DOI: 10.6084/m9.figshare.12965799.v1
title: Additional file 2 of Multi-model seascape genomics identifies distinct environmental drivers of selection among sympatric marine species

description: Additional file 2. Per species pairwise Weir and Cockerham’s FST and Nei's genetic distance values.
DOI: 10.6084/m9.figshare.12965799
title: Additional file 2 of Multi-model seascape genomics identifies distinct environmental drivers of selection among sympatric marine species

description: Additional file 2. Per species pairwise Weir and Cockerham’s FST and Nei's genetic distance values.
DOI: 10.6084/m9.figshare.12965805
title: Additional file 4 of Multi-model seascape genomics identifies distinct environmental drivers of selection among sympatric marine species

description: Additional file 4. BLAST results against NCBI non-redundant protein sequences, including the species, contig ID and length, protein match, E-value, and mean percent identical. The Gene Ontology (GO) terms from Blast2GO are also shown.
DOI: 10.6084/m9.figshare.12965802
title: Additional file 3 of Multi-model seascape genomics identifies distinct environmental drivers of selection among sympatric marine species

description: Additional file 3. The seascape features considered in the gene-environment association analyses, shown as values per sample site, as well as the Spearman’s R coefficients and p-values between variables.
DOI: 10.6084/m9.figshare.7093703
title: Interview -Tarmo Toikkanen

description: This dataset 'Interview - Tarmo Toikkanen’ 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'. <br>The full thesis can be accessed at https://ro.uow.edu.au/theses1/853<br>This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT), 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 socioethical 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 transdisciplinary 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 agency 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.
DOI: 10.6084/m9.figshare.7093703.v1
title: Interview -Tarmo Toikkanen

description: This dataset 'Interview - Tarmo Toikkanen’ 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'. <br>The full thesis can be accessed at https://ro.uow.edu.au/theses1/853<br>This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT), 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 socioethical 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 transdisciplinary 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 agency 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.
DOI: 10.6084/m9.figshare.7092095
title: Interview - Teemu Leinonen

description: This dataset 'Interview - Teemu Leinonen’ 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'. <br>The full thesis can be accessed at https://ro.uow.edu.au/theses1/853<br>This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT), 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 socioethical 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 transdisciplinary 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 agency 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.
DOI: 10.6084/m9.figshare.7092095.v1
title: Interview - Teemu Leinonen

description: This dataset 'Interview - Teemu Leinonen’ 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'. <br>The full thesis can be accessed at https://ro.uow.edu.au/theses1/853<br>This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT), 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 socioethical 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 transdisciplinary 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 agency 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.
DOI: 10.6084/m9.figshare.12966314
title: Raw data for the study titled 'Substance use and effectiveness of interventions at an opioid de-addiction clinic in Western Kenya'

description: This data set contains data on: <br><br>1. Socio-demographic information on study participants<br>2. Factors influencing substance use in the study area<br>3. Opioid utilization in the study area<br>4. Factors associated with attendance of the methadone program by study participants<br>
DOI: 10.6084/m9.figshare.12966314.v1
title: Raw data for the study titled 'Substance use and effectiveness of interventions at an opioid de-addiction clinic in Western Kenya'

description: This data set contains data on: <br><br>1. Socio-demographic information on study participants<br>2. Factors influencing substance use in the study area<br>3. Opioid utilization in the study area<br>4. Factors associated with attendance of the methadone program by study participants<br>
DOI: 10.6084/m9.figshare.7120787
title: Interview - Geoff Lubich

description: This dataset 'Interview - Geoff Lubich’ 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'. <br>The full thesis can be accessed at https://ro.uow.edu.au/theses1/853<br>This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT), 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 socioethical 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 transdisciplinary 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 agency 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.
DOI: 10.6084/m9.figshare.7120787.v1
title: Interview - Geoff Lubich

description: This dataset 'Interview - Geoff Lubich’ 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'. <br>The full thesis can be accessed at https://ro.uow.edu.au/theses1/853<br>This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT), 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 socioethical 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 transdisciplinary 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 agency 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.
DOI: 10.7910/dvn/muvmii/hubv9j
title: LV_SRTM_Mosaic_DEM_metadata.pdf
DOI: 10.13145/bacdive138045.20180622.3
title: Weissella confusa

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.7097846
title: Interview - Deitmer Ludger

description: This dataset 'Interview - Deitmer Ludger’ 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'. <br>The full thesis can be accessed at https://ro.uow.edu.au/theses1/853<br>This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT), 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 socioethical 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 transdisciplinary 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 agency 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.