cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12555794.v1
title: SLA_7_28_17

description: This dataset (SLA in the BoB for 7/28/17) is compared against the SLA data I have for 2018, looking to see if SLA field grows less intense over the course of the summer as it does in 2018.
DOI: 10.6084/m9.figshare.12555776
title: SLA_5_04_17

description: This dataset (SLA in the BoB for 5/4/17) is compared against the SLA data I have for 2018, looking to see if SLA field grows less intense over the course of the summer as it does in 2018.
DOI: 10.6084/m9.figshare.12555776.v1
title: SLA_5_04_17

description: This dataset (SLA in the BoB for 5/4/17) is compared against the SLA data I have for 2018, looking to see if SLA field grows less intense over the course of the summer as it does in 2018.
DOI: 10.17870/bathspa.12555512
title: Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region - Supplementary Research Data 2b

description: <b>Project Summary</b>: ‘<i>Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region’ </i>brings research evidence from the ‘Pathways to Resilience’ project (Kullu District, Himachal Pradesh, India) into dialogue with current disaster risk reduction policy-practice debates, to provide forward recommendations.<b>Item Description</b>: Pathways to Resilience Project, Phase 1 (April 2018), Phojal Nalla catchment, community baseline knowledge questionnaire survey locations (.pdf format of Google Earth imagery with inset GPS waypoints)<br><b>This item is in copyright and can only be used in accordance with Google's Attribution Guidelines. </b>
DOI: 10.17870/bathspa.12555533
title: Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region - Supplementary Research Data 3

description: <b>Project Summary</b>: ‘<i>Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region’ </i>brings research evidence from the ‘Pathways to Resilience’ project (Kullu District, Himachal Pradesh, India) into dialogue with current disaster risk reduction policy-practice debates, to provide forward recommendations.<b>Item Description</b>: Pathways to Resilience Project, Phase 2 (June 2018), Kullu workshop questionnaire. Selected data: non-academic respondents (.xlsx format)<br>
DOI: 10.17870/bathspa.12555533.v1
title: Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region - Supplementary Research Data 3

description: <b>Project Summary</b>: ‘<i>Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region’ </i>brings research evidence from the ‘Pathways to Resilience’ project (Kullu District, Himachal Pradesh, India) into dialogue with current disaster risk reduction policy-practice debates, to provide forward recommendations.<b>Item Description</b>: Pathways to Resilience Project, Phase 2 (June 2018), Kullu workshop questionnaire. Selected data: non-academic respondents (.xlsx format)<br>
DOI: 10.17870/bathspa.12555494
title: Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region - Supplementary Research Data 2a

description: <b>Project Summary</b>: ‘<i>Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region’ </i>brings research evidence from the ‘Pathways to Resilience’ project (Kullu District, Himachal Pradesh, India) into dialogue with current disaster risk reduction policy-practice debates, to provide forward recommendations.<b>Item Description</b>: Pathways to Resilience Project, Phase 1 (April 2018), Phojal Nalla catchment, community baseline knowledge questionnaire. Selected data (.xlsx format)
DOI: 10.17870/bathspa.12555461
title: Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region - Supplementary Research Data 1

description: <b>Project Summary</b>: ‘<i>Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region’ </i>brings research evidence from the ‘Pathways to Resilience’ project (Kullu District, Himachal Pradesh, India) into dialogue with current disaster risk reduction policy-practice debates, to provide forward recommendations.<b>Item Description</b>: A synthesis of international/ Indian disaster risk reduction policy positions on local knowledge, local governance and inclusion (.pdf format)<br>
DOI: 10.17870/bathspa.12555512.v1
title: Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region - Supplementary Research Data 2b

description: <b>Project Summary</b>: ‘<i>Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region’ </i>brings research evidence from the ‘Pathways to Resilience’ project (Kullu District, Himachal Pradesh, India) into dialogue with current disaster risk reduction policy-practice debates, to provide forward recommendations.<b>Item Description</b>: Pathways to Resilience Project, Phase 1 (April 2018), Phojal Nalla catchment, community baseline knowledge questionnaire survey locations (.pdf format of Google Earth imagery with inset GPS waypoints)<br><b>This item is in copyright and can only be used in accordance with Google's Attribution Guidelines. </b>
DOI: 10.17870/bathspa.12555461.v1
title: Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region - Supplementary Research Data 1

description: <b>Project Summary</b>: ‘<i>Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region’ </i>brings research evidence from the ‘Pathways to Resilience’ project (Kullu District, Himachal Pradesh, India) into dialogue with current disaster risk reduction policy-practice debates, to provide forward recommendations.<b>Item Description</b>: A synthesis of international/ Indian disaster risk reduction policy positions on local knowledge, local governance and inclusion (.pdf format)<br>
DOI: 10.17870/bathspa.12555494.v1
title: Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region - Supplementary Research Data 2a

description: <b>Project Summary</b>: ‘<i>Accelerating Change: Engaging Local Communities in Disaster Risk Reduction in the Indian Himalayan Region’ </i>brings research evidence from the ‘Pathways to Resilience’ project (Kullu District, Himachal Pradesh, India) into dialogue with current disaster risk reduction policy-practice debates, to provide forward recommendations.<b>Item Description</b>: Pathways to Resilience Project, Phase 1 (April 2018), Phojal Nalla catchment, community baseline knowledge questionnaire. Selected data (.xlsx format)
DOI: 10.6084/m9.figshare.12555431
title: Encuesta sobre hábitos 2017 - Diseño y Sociedad

description: Datos obtenidos en una encuesta online realizada como parte de la asignatura Diseño y Sociedad del grado Diseño de Producto de la Universidad Camilo José Cela, impartido en ESNE.237 respuestas sobre consumo, actividades de ocio, uso de redes sociales, prácticas de reciclaje, tiempo en el hogar y similares.Se utilizaron estos datos para aprender a analizar hábitos y proponer varios diseños de productos adaptados a los requisitos de los diferentes grupos sociales identificados.
DOI: 10.6084/m9.figshare.12555431.v1
title: Encuesta sobre hábitos 2017 - Diseño y Sociedad

description: Datos obtenidos en una encuesta online realizada como parte de la asignatura Diseño y Sociedad del grado Diseño de Producto de la Universidad Camilo José Cela, impartido en ESNE.237 respuestas sobre consumo, actividades de ocio, uso de redes sociales, prácticas de reciclaje, tiempo en el hogar y similares.Se utilizaron estos datos para aprender a analizar hábitos y proponer varios diseños de productos adaptados a los requisitos de los diferentes grupos sociales identificados.
DOI: 10.6084/m9.figshare.12555425
title: uniprot-database_(type_eggnog).27.09.2019.tab.rar

description: The current database was downloaded on 27.09.2019 and has the data fields (columns) as described below:# 1 Entry# 2 Entry name# 3 Status# 4 Protein names# 5 Gene names# 6 Organism# 7 Length# 8 Cross-reference (KO)# 9 Taxonomic lineage (PHYLUM)# 10 Taxonomic lineage (SPECIES) # This field carries current and old* taxonomic classifications.# 11 Taxonomic lineage (GENUS)# 12 Taxonomic lineage (KINGDOM)# 13 Taxonomic lineage (SUPERKINGDOM)# 14 Cross-reference (OrthoDB)# 15 Cross-reference (eggNOG)*Details about the classification used in UNIPROT can be found at the link: https://www.uniprot.org/help/taxonomy
DOI: 10.6084/m9.figshare.12555425.v1
title: uniprot-database_(type_eggnog).27.09.2019.tab.rar

description: The current database was downloaded on 27.09.2019 and has the data fields (columns) as described below:# 1 Entry# 2 Entry name# 3 Status# 4 Protein names# 5 Gene names# 6 Organism# 7 Length# 8 Cross-reference (KO)# 9 Taxonomic lineage (PHYLUM)# 10 Taxonomic lineage (SPECIES) # This field carries current and old* taxonomic classifications.# 11 Taxonomic lineage (GENUS)# 12 Taxonomic lineage (KINGDOM)# 13 Taxonomic lineage (SUPERKINGDOM)# 14 Cross-reference (OrthoDB)# 15 Cross-reference (eggNOG)*Details about the classification used in UNIPROT can be found at the link: https://www.uniprot.org/help/taxonomy
DOI: 10.6084/m9.figshare.12555422
title: uniprot-database_(type_ko).27.09.2019.tab.rar

description: The current database was downloaded on 27.09.2019 and has the data fields (columns) as described below:# 1 Entry# 2 Entry name# 3 Status# 4 Protein names# 5 Gene names# 6 Organism# 7 Length# 8 Cross-reference (KO)# 9 Taxonomic lineage (PHYLUM)# 10 Taxonomic lineage (SPECIES) # This field carries current and old* taxonomic classifications.# 11 Taxonomic lineage (GENUS)# 12 Taxonomic lineage (KINGDOM)# 13 Taxonomic lineage (SUPERKINGDOM)# 14 Cross-reference (OrthoDB)# 15 Cross-reference (eggNOG)*Details about the classification used in UNIPROT can be found at the link: https://www.uniprot.org/help/taxonomy
DOI: 10.6084/m9.figshare.12555353
title: Appendix A, B and C

description: Flow cytometry-, conventional- and LC OCD-data, Appendix A, Appendix B and Appendix C, respectively.
DOI: 10.6084/m9.figshare.12555353.v1
title: Appendix A, B and C

description: Flow cytometry-, conventional- and LC OCD-data, Appendix A, Appendix B and Appendix C, respectively.
DOI: 10.6084/m9.figshare.12555422.v1
title: uniprot-database_(type_ko).27.09.2019.tab.rar

description: The current database was downloaded on 27.09.2019 and has the data fields (columns) as described below:# 1 Entry# 2 Entry name# 3 Status# 4 Protein names# 5 Gene names# 6 Organism# 7 Length# 8 Cross-reference (KO)# 9 Taxonomic lineage (PHYLUM)# 10 Taxonomic lineage (SPECIES) # This field carries current and old* taxonomic classifications.# 11 Taxonomic lineage (GENUS)# 12 Taxonomic lineage (KINGDOM)# 13 Taxonomic lineage (SUPERKINGDOM)# 14 Cross-reference (OrthoDB)# 15 Cross-reference (eggNOG)*Details about the classification used in UNIPROT can be found at the link: https://www.uniprot.org/help/taxonomy
DOI: 10.6084/m9.figshare.12555290
title: Uncertainty and prior assumptions, rather than innate logarithmic encoding, explain non-linear number-to-space mapping

description: Raw data and analyses code
DOI: 10.6084/m9.figshare.12555284
title: Supplementary Material for: Clinical Phenotype of <b><i>LRRK2</i></b> R1441C in 2 Chinese Sisters

description: Pathogenic and risk variants in the <i>LRRK2</i> gene are among the main genetic contributors to Parkinson’s disease (PD) worldwide, and LRRK2-targeted therapies for patients with PARK-<i>LRRK2</i>are now entering clinical trials. However, in contrast to the <i>LRRK2</i> G2019S mutation commonly found in Caucasians, North-African Arabs, and Ashkenazi Jews, relatively little is known about other causative <i>LRRK2</i> mutations, and data on genotype-phenotype correlations are largely lacking. This report is from an ongoing multicentre study in which next-generation sequencing-based PD gene panel testing has so far been conducted on 499 PD patients of various ethnicities from Malaysia. We describe 2 sisters of Chinese ancestry with PD who carry the R1441C mutation in <i>LRRK2</i> (which in Asians has been reported in only 2 Chinese patients previously), and highlight interesting clinical observations made over a decade of close follow-up. We further explored the feasibility of using a brief, expert-administered rating scale (the Clinical Impression of Severity Index; CISI-PD) to capture data on global disease severity in a large (<i>n</i> = 820) unselected cohort of PD patients, including severely disabled individuals typically excluded from research studies. All patients in this study were managed and evaluated by the same PD neurologist, and these data were used to make broad comparisons between the monogenic PD cases versus the overall “real world” PD cohort. This report contributes to the scarce literature on R1441C PARK-<i>LRRK2</i>, offering insights into natural history and epidemiological aspects, and provides support for the application of a simple and reliable clinical tool that can improve the inclusion of under-represented patient groups in PD research.
DOI: 10.6084/m9.figshare.12555281
title: O'Connell_et_al.2020_RBZ_Supp_Info-Table_S3_2010_Netting_effort_and_captures_per_metre_hour

description: Capture rates of birds mist-netted on the Wakatobi Islands in 2010, given by birds captures per metres hour of netting. Metre hours of netting, i.e. number of metres of net length used multiplied by hours of use, so a 12 metres net used for three hours would be 36 mh of netting effort. All birds were released immediately after processing.
DOI: 10.6084/m9.figshare.12555281.v1
title: O'Connell_et_al.2020_RBZ_Supp_Info-Table_S3_2010_Netting_effort_and_captures_per_metre_hour

description: Capture rates of birds mist-netted on the Wakatobi Islands in 2010, given by birds captures per metres hour of netting. Metre hours of netting, i.e. number of metres of net length used multiplied by hours of use, so a 12 metres net used for three hours would be 36 mh of netting effort. All birds were released immediately after processing.
DOI: 10.6084/m9.figshare.12555284.v1
title: Supplementary Material for: Clinical Phenotype of <b><i>LRRK2</i></b> R1441C in 2 Chinese Sisters

description: Pathogenic and risk variants in the <i>LRRK2</i> gene are among the main genetic contributors to Parkinson’s disease (PD) worldwide, and LRRK2-targeted therapies for patients with PARK-<i>LRRK2</i>are now entering clinical trials. However, in contrast to the <i>LRRK2</i> G2019S mutation commonly found in Caucasians, North-African Arabs, and Ashkenazi Jews, relatively little is known about other causative <i>LRRK2</i> mutations, and data on genotype-phenotype correlations are largely lacking. This report is from an ongoing multicentre study in which next-generation sequencing-based PD gene panel testing has so far been conducted on 499 PD patients of various ethnicities from Malaysia. We describe 2 sisters of Chinese ancestry with PD who carry the R1441C mutation in <i>LRRK2</i> (which in Asians has been reported in only 2 Chinese patients previously), and highlight interesting clinical observations made over a decade of close follow-up. We further explored the feasibility of using a brief, expert-administered rating scale (the Clinical Impression of Severity Index; CISI-PD) to capture data on global disease severity in a large (<i>n</i> = 820) unselected cohort of PD patients, including severely disabled individuals typically excluded from research studies. All patients in this study were managed and evaluated by the same PD neurologist, and these data were used to make broad comparisons between the monogenic PD cases versus the overall “real world” PD cohort. This report contributes to the scarce literature on R1441C PARK-<i>LRRK2</i>, offering insights into natural history and epidemiological aspects, and provides support for the application of a simple and reliable clinical tool that can improve the inclusion of under-represented patient groups in PD research.
DOI: 10.6084/m9.figshare.12555290.v1
title: Uncertainty and prior assumptions, rather than innate logarithmic encoding, explain non-linear number-to-space mapping

description: Raw data and analyses code
DOI: 10.6084/m9.figshare.12555248
title: O'Connell_et_al.2020_RBZ_Supp_Info-Table_S1_All_bird_records_per_island_and _expedition

description: All records of birds taken from the Wakatobi Islands between 1999 and 2019, including relative abundance estimates and expedition details.
DOI: 10.6084/m9.figshare.12555269
title: O'Connell_et_al.2020_RBZ_Supp_Info-Table_S2_All_netting_captures

description: A list of all bird captured for sampling by mist net on the Wakatobi Islands. All birds released immediately after measuring and the collection of a small flank feather sample.
DOI: 10.6084/m9.figshare.12555263
title: Artifact and instructions to generate experimental results for EuroPar 2020 paper "A Comparison of the Scalability of OpenMP Implementations"

description: (See the Readme in the Archive)<br>
DOI: 10.6084/m9.figshare.12555236
title: Hippocampal tissue level case-control differential expression analysis (n=15 major depressive disorder cases versus n=15 unaffected matched controls)

description: A set of genes that were putatively differentially expressed in post mortem human hippocampal tissue (comparing n=15 cases and n=15 controls from the Stanley Neuropathology Consortium). RNAseq reads were aligned to reference index using kallisto (https://pachterlab.github.io/kallisto/about) and analysed for differential expression (https://pachterlab.github.io/sleuth/about). No transcripts were differentially expressed after Benjamini-Hochberg control for false discovery rate &lt; 5%. So data shown are significant at nominal p&lt;0.05 (FDR &gt; 0.05, Benjamini-Hocherg control for false discovery rate)
DOI: 10.6084/m9.figshare.12555248.v1
title: O'Connell_et_al.2020_RBZ_Supp_Info-Table_S1_All_bird_records_per_island_and _expedition

description: All records of birds taken from the Wakatobi Islands between 1999 and 2019, including relative abundance estimates and expedition details.
DOI: 10.6084/m9.figshare.12555269.v1
title: O'Connell_et_al.2020_RBZ_Supp_Info-Table_S2_All_netting_captures

description: A list of all bird captured for sampling by mist net on the Wakatobi Islands. All birds released immediately after measuring and the collection of a small flank feather sample.
DOI: 10.6084/m9.figshare.12555263.v1
title: Artifact and instructions to generate experimental results for EuroPar 2020 paper "A Comparison of the Scalability of OpenMP Implementations"

description: (See the Readme in the Archive)<br>
DOI: 10.6084/m9.figshare.12555236.v1
title: Set of genes differentially expressed a nominal p&lt;0.05 (FDR &gt; 0.05, Benjamini-Hocherg control for false discovery rate)

description: A set of genes that were putatively differentially expressed in post mortem human hippocampal tissue (comparing n=15 cases and n=15 controls from the Stanley Neuropathology Consortium). RNAseq reads were aligned to reference index using kallisto (https://pachterlab.github.io/kallisto/about) and analysed for differential expression (https://pachterlab.github.io/sleuth/about). No transcripts were differentially expressed after Benjamini-Hochberg control for false discovery rate &lt; 5%.
DOI: 10.6084/m9.figshare.12555170
title: Continent Polygons

description: Shapefiles for each conttinent, subset of publicly available shapefile from ESRI.
DOI: 10.6084/m9.figshare.12555236.v3
title: Hippocampal tissue level case-control differential expression analysis (n=15 major depressive disorder cases versus n=15 unaffected matched controls)

description: A set of genes that were putatively differentially expressed in post mortem human hippocampal tissue (comparing n=15 cases and n=15 controls from the Stanley Neuropathology Consortium). RNAseq reads were aligned to reference index using kallisto (https://pachterlab.github.io/kallisto/about) and analysed for differential expression (https://pachterlab.github.io/sleuth/about). No transcripts were differentially expressed after Benjamini-Hochberg control for false discovery rate &lt; 5%. So data shown are significant at nominal p&lt;0.05 (FDR &gt; 0.05, Benjamini-Hocherg control for false discovery rate)
DOI: 10.6084/m9.figshare.12555236.v2
title: Hippocampal tissue level case-control differential expression analysis (n=15 major depressive disorder cases versus n=15 unaffected matched controls)

description: A set of genes that were putatively differentially expressed in post mortem human hippocampal tissue (comparing n=15 cases and n=15 controls from the Stanley Neuropathology Consortium). RNAseq reads were aligned to reference index using kallisto (https://pachterlab.github.io/kallisto/about) and analysed for differential expression (https://pachterlab.github.io/sleuth/about). No transcripts were differentially expressed after Benjamini-Hochberg control for false discovery rate &lt; 5%. So data shown are significant at nominal p&lt;0.05 (FDR &gt; 0.05, Benjamini-Hocherg control for false discovery rate)
DOI: 10.6084/m9.figshare.12555116
title: Data and Code for HTN Pulmenoary ADE Reports

description: The data used in this study have been curated from multiple publicly available data sources for hypertensive patients, including the FDA’s Adverse Event Reporting System (FAERS), which houses all ADEs reported to the FDA by pharmaceutical companies, healthcare providers, and consumers. The data, including the hypertension dataset, is updated quarterly by the FDA and currently includes reports submitted from the first quarter of 2004 to the last quarter of 2019. This dataset focuses on drugs and their ADEs but includes additional data such as disease, drug, and demographic information as well as information related to patient outcome.
DOI: 10.6084/m9.figshare.12555170.v1
title: Continent Polygons

description: Shapefiles for each conttinent, subset of publicly available shapefile from ESRI.
DOI: 10.6084/m9.figshare.12555116.v1
title: Data for HTN Pulmenoary ADE Reports

description: The data used in this study have been curated from multiple publicly available data sources for hypertensive patients, including the FDA’s Adverse Event Reporting System (FAERS), which houses all ADEs reported to the FDA by pharmaceutical companies, healthcare providers, and consumers. The data, including the hypertension dataset, is updated quarterly by the FDA and currently includes reports submitted from the first quarter of 2004 to the last quarter of 2019. This dataset focuses on drugs and their ADEs but includes additional data such as disease, drug, and demographic information as well as information related to patient outcome.
DOI: 10.6084/m9.figshare.12555059
title: A interval 3D model

description: Object file of a 3D model from a selected interval (recorded in Supplementary File 1). This can be used for printing or virtual reality applications.
DOI: 10.6084/m9.figshare.12555062
title: B interval short video

description: Short video from a processed interval.
DOI: 10.6084/m9.figshare.12555065
title: A interval short video

description: Short video from a processed interval.
DOI: 10.6084/m9.figshare.12555071
title: Dataset of search trends-based analysis of public attention in the early outbreak of COVID-19 in China

description: Statistics results of Baidu index and Google trends on keywords related to the epidemic from January 10 to February 28
DOI: 10.6084/m9.figshare.12555170.v2
title: Continent Polygons

description: Shapefiles for each conttinent, subset of publicly available shapefile from ESRI.
DOI: 10.6084/m9.figshare.12555056
title: B interval 3D model

description: Object file of a 3D model from a selected interval (recorded in Supplementary File 2). This can be used for printing or virtual reality applications.
DOI: 10.6084/m9.figshare.12555065.v1
title: A interval short video

description: Short video from a processed interval.