cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5286/ukerc.edc.000555
title: Home Energy Management System (HEMS) ICT Market Study - HEMS ICT Market Forecast Tool

description: The ETI commissioned the HEMS & ICT Market project to undertake an in depth study and assessment of HEMS along with data, processes and controls and potential additional services enabled via a linked ICT system.The project delivers key insights and findings in terms of potential future offerings and capabilities of these products along with market assessment information.The aim of the project was to characterise the existing market for HEMS and ICT systems and to quantify the market/commercial opportunities for future HEMS and ICT propositions for both consumer and business.<br><br>Our main report identified an opportunity for the ETI to lead the Advanced ESCo scenario through 3 key business propositionsESCOs ‘right-size’ heating solutions then provide supply contracts with price guaranteesHEMS enable optimised ToU tariffs and DR benefits via local storageHybrid heat pump driving arbitrage opportunities in the homeThe HEMS ICT Market Forecast Tool is an excel work book that provides the user with a UK market forecast for Home Energy Management Systems and related ICT hardware. Users are able to vary various control parameters and create market forecasts to meet individual needs. This model is not intended as a final answer but rather provides a flexible forecast tool to inform a forward view of households that could potentially take up any of the 3 Advanced ESCo HEMS propositions set out in the main report.<br><br>The report was initially published in November 2014. Some details and analysis may be out of date with current thinking.
DOI: 10.5286/ukerc.edc.000532
title: List of projects for the ETI Nuclear (NUC) Programme

description: Spreadsheet containing a list of projects making up the Nuclear programme
DOI: 10.5286/ukerc.edc.000475
title: Refining Estimates of Land for Biomass - Case Study - <em>Miscanthus</em>, Friars Farm

description: Refining Estimates of Land for Biomass (RELB) was a project commissioned and funded by the ETI. As part of the RELB project,The ETI commissioned the project team to complete three case studies of farms growing bioenergy crops. This workbook consists of the data and calculations for the Friars Farm <em>Miscanthus </em>case study and should be read alongside the other case studies and the rest of the RELB documentation.
DOI: 10.5286/ukerc.edc.000476
title: Refining Estimates of Land for Biomass - Case Study - Abbey Farm, <em>Miscanthus</em>

description: Refining Estimates of Land for Biomass (RELB) was a project commissioned and funded by the ETI. As part of the RELB project,The ETI commissioned the project team to complete three case studies of farms growing bioenergy crops. This workbook consists of the data and calculations for the Abbey Farm <em>Miscanthus </em>case study and should be read alongside the other case studies and the rest of the RELB documentation.
DOI: 10.5286/ukerc.edc.000473
title: Refining Estimates of Land for Biomass - Case Study - SRC Willow at Brackenthwaite Farm

description: Refining Estimates of Land for Biomass (RELB) was a project commissioned and funded by the ETI. As part of the RELB project,The ETI commissioned the project team to complete three case studies of farms growing bioenergy crops. This workbook covers the data and calculations for the Brackenthwaite Farm SRC Willow case study
DOI: 10.5286/ukerc.edc.000470
title: Refining Estimates of Land for Biomass - Field Survey

description: The data collection form used during the field survey
DOI: 10.25574/41877
title: Chandra X-ray Observatory ObsId 41877
DOI: 10.5286/ukerc.edc.000468
title: Refining Estimates of Land for Biomass - Field survey results

description: Results from the field survey carried out to validate the provisional constraint mask developed during the desk study
DOI: 10.5286/ukerc.edc.000467
title: Refining Estimates of Land for Biomass - Data on the job implications of establishing a bioenergy market - data supporting charts in Appendices to main report

description: Refining Estimates of Land for Biomass (RELB) was a project commissioned and funded by the ETI. This workbook includes the data for the charts displayed in Appendix 1 of the report, Job implications of establishing a bioenergy market.
DOI: 10.5286/ukerc.edc.000465
title: Public Perceptions of Bioenergy: Survey Data from YouGov 2017

description: To complement its existing analysis of the bioenergy sector,The ETI wanted to find out more about current public opinion of bioenergy in the UK and the potential drivers behind those opinions. To do this the ETI developed a survey which was carried out by YouGov in 2015. An extended version of the survey was repeated in 2016.<br><br>This workbook contains the results of a survey on public perceptions of bioenergy carried out by YouGov for the ETI from 15th – 18th August 2017.The total sample size was 3,232 GB (Great Britain) adults and the figures in this document have been weighted and are representative of all GB adults (aged 18+).The survey found that there is strong public support for producing bioenergy in the UK from both biomass and waste, with 80% of respondents in favour of bioenergy playing a bigger part in the UK energy mix. Readers should note that any percentages calculated based on fewer than 50 respondents do not represent a wide enough cross-section of the target population to be considered statistically reliable.The questionnaire was developed by the ETI and reviewed by specialists in social science research.<br><br>An insights paper, ‘Public Perceptions of Bioenergy’, based on the findings from the 2015 and 2016 surveys is available on the ETI website: http://www.eti.co.uk/library/public-perceptions-of-bioenergy-in-the-uk-1 <br>A shorter perspective on the results from all three surveys is available here: http://www.eti.co.uk/library/an-eti-perspective-public-perceptions-of-bioenergy
DOI: 10.5286/ukerc.edc.000463
title: Public Perceptions of Bioenergy: Survey Data from YouGov 2015

description: To complement its existing analysis of the bioenergy sector,The ETI wanted to find out more about current public opinion of bioenergy in the UK and the potential drivers behind those opinions. To do this the ETI developed a survey which was carried out by YouGov in 2015. An extended version of the survey was repeated in 2016.<br><br>This workbook contains the results of a survey on public perceptions of bioenergy carried out by YouGov for the ETI from 21st – 24th August 2015.The total sample size was 3,105 GB (Great Britain) adults and the figures in this document have been weighted and are representative of all GB adults (aged 18+).The survey found that there is strong public support for producing bioenergy in the UK from both biomass and waste, with 80% of respondents in favour of bioenergy playing a bigger part in the UK energy mix. Readers should note that any percentages calculated based on fewer than 50 respondents do not represent a wide enough cross-section of the target population to be considered statistically reliable.The questionnaire was developed by the ETI and reviewed by specialists in social science research.<br><br>An insights paper, ‘Public Perceptions of Bioenergy’, based on the findings from the 2015 and 2016 surveys is available on the ETI website: http://www.eti.co.uk/library/public-perceptions-of-bioenergy-in-the-uk-1 <br>A shorter perspective on the results from all three surveys is available here: http://www.eti.co.uk/library/an-eti-perspective-public-perceptions-of-bioenergy
DOI: 10.5286/ukerc.edc.000464
title: Public Perceptions of Bioenergy: Survey Data from YouGov 2016

description: To complement its existing analysis of the bioenergy sector,The ETI wanted to find out more about current public opinion of bioenergy in the UK and the potential drivers behind those opinions. To do this the ETI developed a survey which was carried out by YouGov in 2015. An extended version of the survey was repeated in 2016.<br><br>This workbook contains the results of a survey on public perceptions of bioenergy carried out by YouGov for the ETI from 7th – 12th September 2016.The total sample size was 5,307 GB (Great Britain) adults and the figures in this document have been weighted and are representative of all GB adults (aged 18+).The survey found that there is strong public support for producing bioenergy in the UK from both biomass and waste, with 80% of respondents in favour of bioenergy playing a bigger part in the UK energy mix. Readers should note that any percentagescalculated based on fewer than 50 respondents do not represent a wide enough cross-section of the target population to be considered statistically reliable.The questionnaire was developed by the ETI and reviewed by specialists in social science research.<br><br>An insights paper, ‘Public Perceptions of Bioenergy’, based on the findings from the 2015 and 2016 surveys is available on the ETI website: http://www.eti.co.uk/library/public-perceptions-of-bioenergy-in-the-uk-1 <br>A shorter perspective on the results from all three surveys is available here: http://www.eti.co.uk/library/an-eti-perspective-public-perceptions-of-bioenergy
DOI: 10.15468/dl.rmpjad
title: Occurrence Download

description: A dataset containing 31883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Vanessa atalanta",
 "Year 2009-2009"
 ]
}

 The dataset includes 31883 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053662-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/ukerc.edc.000432
title: Techno-Economic Assessment of Biomass Pre-Processing (TEABPP) - Initial techno-economic results - Spreadsheet tool

description: The techno-economic project will provide a greater understanding of the options available to modify or improve the physical and chemical characteristics of different types of UK-derived 2nd generation energy biomass feedstocks, that may otherwise reduce the cost-effective performance of conversion technologies<br><br>This Excel tool presents techno-economic assessments of a library of representative biomass value chains producing heat, power, combined heat and power, or syngas. Costs are present day (projected future costs not considered), and prices or profits are not be considered.The tool does not consider uncertainty ranges, feedstock characteristics or sensitivity analyses. This Excel tool is a pre-cursor to the more sophisticated gPROMS model produced later in the project. <br><br>Note:This workbook is very large, and reliant on the interaction between thousands of different input parameters and formulaeIn particular, the “Chain choice” tab contains a Data table with over a large number of rows and 3 columns, which is computationally heavy, and often leads to cycling between chains/volatile values changingIt is therefore a very strong recommendation for the user to configure your Excel to NOT automatically update all formulaeTo do this, go to File &gt; Options &gt; Formulas &gt; and select “Automatic except for data tables”.You can then use the Excel safely, and if you want to refresh the Data table results, hit “F9” and wait about 2 minutes.The Data table will be refreshed when the “Data Table: 1” status at the bottom right of the Excel window disappears. If you hit “F9”Then move to another cell or tab, the table will not have updated.Youmay also find that you cannot have any other spreadsheet open at the same time.
DOI: 10.5286/ukerc.edc.000429
title: The Role For Bioenergy in Decarbonising the UK Energy System: Findings from the ETI Bioenergy Programme - Appendix 8.7

description: In its Insights report, “The Role For Bioenergy in Decarbonising the UK Energy System: Findings from the ETI Bioenergy Programme”, the ETI reviews its 10 year bioenergy programme and recommends an increase in biomass production and the creation of the right environment to advance bioenergy with carbon capture and storage (BECCS) as a core component in a push to a low and net zero carbon UK. This Insights report is available for download from the ETI’s website.<br><br>This workbook prevents the full set of ESME results charts for the five scenarios examined in the main report:Base CaseReduced Biomass and biofuel feedstock availabilityNo CCSNo biomass gasificationNo biomass gasification + no CSSThere are two worksheets for each scenarioCore Charts - a single worksheet with key charts from each scenario, with aggregated categories for easier interpretationN. (Scenario) - Detail - All charts produced for the scenario, including a more detailed category breakdownAll scenarios were run using version 4.3 of ESME
DOI: 10.15468/dl.92f6qn
title: Occurrence Download

description: A dataset containing 20533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "Country is one of (Tanzania, United Republic of, Kenya, Congo, Democratic Republic of the, Zambia, Namibia, South Africa, Botswana, Uganda)",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Tragelaphus"
 ]
}

 The dataset includes 20533 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053663-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3n5cut
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Gabon",
 "TaxonKey is Osteolaemus tetraspis"
 ]
}

 The dataset includes 58 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053664-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.psykwy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-5.69978 36.06256,-5.68585 36.0702,-5.69423 36.07908,-5.70899 36.07001,-5.69978 36.06256))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC",
 "TaxonKey is Quercus suber"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053665-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30885181
title: Genome-wide Identification of conditionally essential genes supporting <i>Streptococcus suis</i> growth in serum and cerebrospinal fluid

description: <i>Streptococcus suis</i> is a major cause of sepsis and meningitis in pigs, and zoonosis through the emergence of disease-associated lineages. The ability of <i>S. suis</i> to adapt and survive in host environments, such as blood and cerebrospinal fluid (CSF), is important for pathogenesis. Here, we used Transposon Sequencing (Tn-seq) coupled with Nanopore sequencing to identify conditionally essential genes (CEGs) for the growth of <i>S. suis</i> P1/7 in active porcine serum (APS) and CSF derived from choroid plexus organoids. To our knowledge, this is the first successful application of ONT to Tn-library screening, enabling rapid local runs and a publicly available analysis pipeline. Through comparative fitness analyses, we identified 33 CEGs that support growth in APS and 25 CEGs in CSF. These genes highlight the importance of pathways related to amino acid transport, nucleotide metabolism, and cell envelope integrity. Notably, the LiaFSR regulatory system and multiple ABC transporters were important for proliferation. We also identified several genes of unknown function as essential for growth, pointing to previously unrecognized genetic factors involved in <i>S. suis</i> adaptation during infection. These findings provide new insights into the genetic requirements for <i>S. suis</i> survival in host-like environments and a deeper understanding of its ability to adapt to distinct physiological niches.
DOI: 10.6084/m9.figshare.30885181.v1
title: Genome-wide Identification of conditionally essential genes supporting <i>Streptococcus suis</i> growth in serum and cerebrospinal fluid

description: <i>Streptococcus suis</i> is a major cause of sepsis and meningitis in pigs, and zoonosis through the emergence of disease-associated lineages. The ability of <i>S. suis</i> to adapt and survive in host environments, such as blood and cerebrospinal fluid (CSF), is important for pathogenesis. Here, we used Transposon Sequencing (Tn-seq) coupled with Nanopore sequencing to identify conditionally essential genes (CEGs) for the growth of <i>S. suis</i> P1/7 in active porcine serum (APS) and CSF derived from choroid plexus organoids. To our knowledge, this is the first successful application of ONT to Tn-library screening, enabling rapid local runs and a publicly available analysis pipeline. Through comparative fitness analyses, we identified 33 CEGs that support growth in APS and 25 CEGs in CSF. These genes highlight the importance of pathways related to amino acid transport, nucleotide metabolism, and cell envelope integrity. Notably, the LiaFSR regulatory system and multiple ABC transporters were important for proliferation. We also identified several genes of unknown function as essential for growth, pointing to previously unrecognized genetic factors involved in <i>S. suis</i> adaptation during infection. These findings provide new insights into the genetic requirements for <i>S. suis</i> survival in host-like environments and a deeper understanding of its ability to adapt to distinct physiological niches.
DOI: 10.6084/m9.figshare.29099143
title: Dissecting the shared molecular mechanisms underlying polycystic ovary syndrome and schizophrenia etiology: a translational integrative approach

description: Recent evidence suggests that individuals with polycystic ovary syndrome (PCOS) have an increased risk of developing mental health disorders and comorbidities linked to nervous system dysfunction. Interestingly, patients with schizophrenia (SCZ) often exhibit PCOS symptoms, indicating a possible connection between the two conditions. However, the underlying molecular links between these diseases remain poorly understood. We employed a comprehensive <i>in-silico</i> approach, utilizing publicly available datasets to investigate shared biomarkers candidates and key regulators involved in the development of PCOS and SCZ. We retrieved the datasets from the NCBI GEO database and differentially expressed genes (DEGs) were identified for each dataset. Common DEGs (cDEGs) were determined, and transcription factors (TFs) and miRNA targeting cDEGs were examined using the mirDIP portal and TRRUST database, respectively. We also assessed the TF-miRNA interactions by TransmiR database and constructed a regulatory network including TFs-microRNAs-cDEGs. Our analysis identified a total of 15 cDEGs that are regulated by 15 TFs and 8 mRNAs. Among our findings, we prioritized RELA as a potential TF regulator for both diseases, demonstrating synergistic interaction with four cDEGs (<i>EGR1</i>, <i>CXCL8</i>, <i>IL1RN</i>, <i>IL1B</i>) and seven microRNAs (hsa-miR-580, hsa-miR-5695, hsa-miR-936, hsa-miR-3675, hsa-miR-634, hsa-miR-603, hsa-miR-222) that target these genes. Our data highlights potential common biomarkers for PCOS and SCZ, presenting a novel regulatory network that elucidates the molecular mechanisms underlying both conditions. This emphasizes the importance of further research to explore new translational approaches, which may ultimately lead to improved diagnostic and therapeutic strategies for affected individuals.
DOI: 10.6084/m9.figshare.29099143.v1
title: Dissecting the shared molecular mechanisms underlying polycystic ovary syndrome and schizophrenia etiology: a translational integrative approach

description: Recent evidence suggests that individuals with polycystic ovary syndrome (PCOS) have an increased risk of developing mental health disorders and comorbidities linked to nervous system dysfunction. Interestingly, patients with schizophrenia (SCZ) often exhibit PCOS symptoms, indicating a possible connection between the two conditions. However, the underlying molecular links between these diseases remain poorly understood. We employed a comprehensive <i>in-silico</i> approach, utilizing publicly available datasets to investigate shared biomarkers candidates and key regulators involved in the development of PCOS and SCZ. We retrieved the datasets from the NCBI GEO database and differentially expressed genes (DEGs) were identified for each dataset. Common DEGs (cDEGs) were determined, and transcription factors (TFs) and miRNA targeting cDEGs were examined using the mirDIP portal and TRRUST database, respectively. We also assessed the TF-miRNA interactions by TransmiR database and constructed a regulatory network including TFs-microRNAs-cDEGs. Our analysis identified a total of 15 cDEGs that are regulated by 15 TFs and 8 mRNAs. Among our findings, we prioritized RELA as a potential TF regulator for both diseases, demonstrating synergistic interaction with four cDEGs (<i>EGR1</i>, <i>CXCL8</i>, <i>IL1RN</i>, <i>IL1B</i>) and seven microRNAs (hsa-miR-580, hsa-miR-5695, hsa-miR-936, hsa-miR-3675, hsa-miR-634, hsa-miR-603, hsa-miR-222) that target these genes. Our data highlights potential common biomarkers for PCOS and SCZ, presenting a novel regulatory network that elucidates the molecular mechanisms underlying both conditions. This emphasizes the importance of further research to explore new translational approaches, which may ultimately lead to improved diagnostic and therapeutic strategies for affected individuals.
DOI: 10.6084/m9.figshare.28280149
title: Unveiling the role of miRNAs in Diminished Ovarian Reserve: an in silico network approach

description: MicroRNAs (miRNAs) have acquired an increased recognition to unravel the complex molecular mechanisms underlying Diminished Ovarian Reserve (DOR), one of the main responsible for infertility. To investigate the impact of miRNA profiles in granulosa cells and follicular fluid, crucial players in follicle development, this study employed a computational network theory approach to reconstruct potential pathways regulated by miRNAs in granulosa cells and follicular fluid of women suffering from DOR. Available data from published research were collected to create the FGC_MiRNome_MC, a representation of miRNA target genes and their interactions. 365 hubs were identified within the network, representing potential key regulators, and 210 nodes that act as both hubs and bottlenecks (H&BN nodes), suggesting that they may control the information flow within the network. GO enrichment analysis of the 210 H&BN nodes revealed their involvement in fundamental cellular processes relevant to ovarian function. In particular, the cluster analysis identified several shared pathways between cluster 1 and cluster 2 involved in the RAS/MAPK pathway, which plays a critical role in cell proliferation, differentiation and survival. These findings suggest that miRNAs play a significant role in DOR and highlight the potential of the RAS/MAPK pathway as a target for further investigation. Additionally, the genes identified as both hubs and bottlenecks revealed interesting connections to reproductive health in KO mice models. This <i>in silico</i> approach provides valuable insights into potential biomarkers and therapeutic targets for age-related reproductive disorders.