cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24541357.v1
title: Regulating <i>PCCA</i> gene expression by modulation of pseudoexon splicing patterns to rescue enzyme activity in propionic acidemia - metabolomics data

description: Metabolmics dataAbstract Pseudoexons are nonfunctional intronic sequences that can be activated by deep intronic sequence variation. Activation increases pseudoexon inclusion in mRNA and interferes with normal gene expression. The <i>PCCA </i>c.1285-1416A&gt;G variation activates a pseudoexon and causes the severe metabolic disorder, propionic acidemia, by deficiency of the propionyl-CoA carboxylase enzyme encoded by <i>PCCA </i>and <i>PCCB</i>. We characterized this pathogenic pseudoexon activation event in detail and identified hnRNP A1 to be important for normal repression. The <i>PCCA </i>c.1285-1416A&gt;G variation disrupts an hnRNP A1-binding splicing silencer and simultaneously creates a splicing enhancer. We demonstrate that blocking this region of regulation with splice-switching antisense oligonucleotides restores normal splicing and rescues enzyme activity in patient fibroblasts and in a cellular model created by CRISPR gene editing. The <i>PCCA </i>pseudoexon can be exploited as a gene-regulatory switch, as healthy tissues show relatively high levels of inclusion. By blocking inclusion of the non-activated wild type pseudoexon, we increase both PCCA and PCCB protein levels, which increases the activity of the heterododecameric enzyme. Surprisingly, we can increase enzyme activity from residual levels not only in patient fibroblasts harboring <i>PCCA</i> missense variants, but also those harboring <i>PCCB </i>missense variants. This could be a potential treatment strategy for propionic acidemia.
DOI: 10.57841/casdc.0003113
title: 温度对Cu-12.5Ni-5Sn-石墨自润滑复合材料摩擦学性能的影响
DOI: 10.5519/qd.pna9qqwg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5349661 records)
DOI: 10.5255/ukda-sn-856717
title: Exploring Children’s Responses to Contemporary Biographies About Women, 2020

description: These data were generated as part of an ESRC-funded PhD research project undertaken by Louise Couceiro at the University of Glasgow. The project sought to explore how eight children (aged 7-10) in the UK responded to and engaged with four biographical compendiums about women published between 2016 and 2020. Research was undertaken in two phases. Four participants engaged in the first phase and four engaged in the second. In each phase, participants took part in individual interviews and group reading sessions. The transcripts comprise online Zoom interviews with participants (n=7) and group reading sessions with participants from the first phase (n = 2). As part of the consent procedure, participants chose whether to grant permission for their de-identified data to be included in this archive.
DOI: 10.6096/4004
title: Sea2Cloud - Tangaroa - SSA - CPC - Level 0

description: Sea spray was continuously generated with a plunging jet system, as described in detail in Sellegri et al. (2023) and previously used in Schwier et al. 2015 and 2017, Trueblood et al. 2021, Freney et al. 2021 and Sellegri et al. 2021. The 10 L tank was operated with a 10 cm seawater depth, so jet and film drops did not interact with the tank’s top locate 15 cm above the seawater level. Eight plunging jets were created by flushing seawater through 1 micrometer orifices that were equally spaced along a ¼” stainless steal tube, located at 5 cm below the tank’s top in the chamber diagonal. Jets penetrate the seawater volume at a depth of 7 cm, and therefore do not interact with the chamber bottom. The sea-spray generation system was operated at near constant jet flow rate, and reproduces sea-spray size distributions of similar shape to those reported for other plunging jet devices (Fuentes et al. 2010). The system was fed continuously with seawater sampled from a depth of ~6 m by the underway seawater supply. Once a day, the flow-through seawater system of the plunging jet system was switched from seawater directly coming from the ship underway seawater system to cooled seawater that had been stored in a 50 L temperature-controlled reservoir immediately before the temperature experiments start (filling time less than 5 min, Figure 1).  Temperature gradients between 2°C and 15°C were applied to the seawater over approximately 1 hour, with an initial decreasing temperature ramp, followed by an increasing temperature ramp. The experiments were stopped when the temperature-controlled reservoir had emptied. Temperature experiments were performed every morning around 11 am from 18/03/20 to 26/03/20, with an additional experiment in the afternoon of 26/03/20.

Submicron particles generated by the SSA generator were taken through a ¼ inch stainless steel line to a 1-m long silica gel diffusion drier followed by an impactor with PM1 diameter cutoff. Particle total concentration for Dp> 4 nm was measured using a Condensation Particle Counter (CPC) model MAGIC. Relative humidity at the inlet was monitored, and kept below 35% at all times.
DOI: 10.7488/ds/7539
title: Classifying Gender Biased Language in University of Edinburgh Heritage Collections Archival Metadata Descriptions

description: These datasets were used to create discriminative text classification models to identify potentially gender biased language. There are datasets for three types of classification models: multilabel document classifiers, multiclass sequence classifiers, and multilabel token classifiers. The data source is the Archives catalog of the University of Edinburgh's Heritage Collections. The archival metadata descriptions extracted from the catalog were labeled according to the Taxonomy of Gendered and Gender Biased Language (published in Havens et al., 2021, linked to as a related paper). Details of the datasets' creation and contents are documented in the Ph.D. thesis by Lucy Havens titled, "Recalibrating Machine Learning for Social Biases: Demonstrating a New Methodology through a Case Study Classifying Gender Biases in Archival Documentation," as well as the related papers and GitHub repositories linked to this record.
description: inventory.txt
DOI: 10.7488/ds/7540
title: Manually Annotating Gender Biased Language in University of Edinburgh Heritage Collections Archival Metadata Descriptions

description: These datasets contains metadata descriptions extracted from the University of Edinburgh's Heritage Collections (HC) Archives' catalogue in to create an annotated dataset for training text classification models to detect gender biased language. Four descriptive metadata fields were extracted for all collections, subcollections, and items in the HC Archives' online catalog. The ``Title'' field is the name of the archival record, which either documents a single or group of archival material. The ``Biographical / Historical'' field contains information about the people, time period, and places associated with the collection, subcollection, or item being described. The ``Scope and Contents'' field summarizes the contents of the collection, subcollection, or item to which the field belongs. Though not all records include the ``Processing Information'' field, those that do typically record the person who wrote the description for the collection, subcollection, or item's descriptive metadata fields, and the date the description was written. The datasets were manually annotated by five annotators according to the Taxonomy of Gendered and Gender Biased Language. The annotated datasets include the annotated text span, the description in which that text span appears, the label with which the text span was annotated, and a note explaining an annotator's rationale for applying the label to the text span. Please refer to the datasets' associated GitHub repositories and papers for further details on their creation and contents.
description: inventory.txt
DOI: 10.6084/m9.figshare.23497235
title: Direct shear tests for natural fractures with different normal stress and surface roughness in sandstone

description: This is the experimental data for the manuscript entitled <b><i>Temporal evolution of shear-induced dilatancy of rock fractures: Controls from surface roughness and normal stress</i></b>, which has been submitted for consideration for publication in <i>Geophysical Journal International</i>.The data includes the normal load, normal piston position, normal displacement, shear load, slip displacement, normal stress, and shear stress monitored in the 16 direct shear experiments in the Microsoft Excel file, as well as the topography data of the four surfaces with different joint roughness coefficient (JRC) in the four text files. The three columns in the text files indicates the x, y, and z coordinates of the surface asperities.
DOI: 10.6084/m9.figshare.23497235.v2
title: Direct shear tests for natural fractures with different normal stress and surface roughness in sandstone

description: This is the experimental data for the manuscript entitled <b><i>Temporal evolution of shear-induced dilatancy of rock fractures: Controls from surface roughness and normal stress</i></b>, which has been submitted for consideration for publication in <i>Geophysical Journal International</i>.The data includes the normal load, normal piston position, normal displacement, shear load, slip displacement, normal stress, and shear stress monitored in the 16 direct shear experiments in the Microsoft Excel file, as well as the topography data of the four surfaces with different joint roughness coefficient (JRC) in the four text files. The three columns in the text files indicates the x, y, and z coordinates of the surface asperities.
DOI: 10.6084/m9.figshare.23497235.v1
title: Direct shear tests for natural fractures with different normal stress and surface roughness in sandstone

description: This is the experimental data for the manuscript entitled <em><strong>Constraining temporal evolution of shear-induced dilatancy of rock fractures</strong></em>, which has been submitted for consideration for publication in Geophysical Research Letters.
DOI: 10.6084/m9.figshare.24541612
title: Inter-individual variability filter

description: Script, data and results to analyze inter-individual variability in WT and KO individuals for Janati-Idrissi et al 2023.
DOI: 10.6084/m9.figshare.24541612.v1
title: Inter-individual variability filter

description: Script, data and results to analyze inter-individual variability in WT and KO individuals for Janati-Idrissi et al 2023.
DOI: 10.6096/4005
title: Sea2Cloud - Seawater - Tangaroa - SSA - Aqualog Sea Surface Temperature - Level 0

description: Sea spray was continuously generated with a plunging jet system, as described in detail in Sellegri et al. (2023) and previously used in Schwier et al. 2015 and 2017, Trueblood et al. 2021, Freney et al. 2021 and Sellegri et al. 2021. The 10 L tank was operated with a 10 cm seawater depth, so jet and film drops did not interact with the tank’s top locate 15 cm above the seawater level. Eight plunging jets were created by flushing seawater through 1 micrometer orifices that were equally spaced along a ¼” stainless steal tube, located at 5 cm below the tank’s top in the chamber diagonal. Jets penetrate the seawater volume at a depth of 7 cm, and therefore do not interact with the chamber bottom. The sea-spray generation system was operated at near constant jet flow rate, and reproduces sea-spray size distributions of similar shape to those reported for other plunging jet devices (Fuentes et al. 2010). The system was fed continuously with seawater sampled from a depth of ~6 m by the underway seawater supply. Once a day, the flow-through seawater system of the plunging jet system was switched from seawater directly coming from the ship underway seawater system to cooled seawater that had been stored in a 50 L temperature-controlled reservoir immediately before the temperature experiments start (filling time less than 5 min, Figure 1).  Temperature gradients between 2°C and 15°C were applied to the seawater over approximately 1 hour, with an initial decreasing temperature ramp, followed by an increasing temperature ramp. The experiments were stopped when the temperature-controlled reservoir had emptied. Temperature experiments were performed every morning around 11 am from 18/03/20 to 26/03/20, with an additional experiment in the afternoon of 26/03/20.

Temperature of the seawater was measured in line at the entrance of the SSA generator using an aqualog sensor.
DOI: 10.6096/4006
title: Sea2Cloud - Seawater - Tangaroa - SSA - Aqualog Flow Rate - Level 0

description: Sea spray was continuously generated with a plunging jet system, as described in detail in Sellegri et al. (2023) and previously used in Schwier et al. 2015 and 2017, Trueblood et al. 2021, Freney et al. 2021 and Sellegri et al. 2021. The 10 L tank was operated with a 10 cm seawater depth, so jet and film drops did not interact with the tank’s top locate 15 cm above the seawater level. Eight plunging jets were created by flushing seawater through 1 micrometer orifices that were equally spaced along a ¼” stainless steal tube, located at 5 cm below the tank’s top in the chamber diagonal. Jets penetrate the seawater volume at a depth of 7 cm, and therefore do not interact with the chamber bottom. The sea-spray generation system was operated at near constant jet flow rate, and reproduces sea-spray size distributions of similar shape to those reported for other plunging jet devices (Fuentes et al. 2010). The system was fed continuously with seawater sampled from a depth of ~6 m by the underway seawater supply. Once a day, the flow-through seawater system of the plunging jet system was switched from seawater directly coming from the ship underway seawater system to cooled seawater that had been stored in a 50 L temperature-controlled reservoir immediately before the temperature experiments start (filling time less than 5 min, Figure 1).  Temperature gradients between 2°C and 15°C were applied to the seawater over approximately 1 hour, with an initial decreasing temperature ramp, followed by an increasing temperature ramp. The experiments were stopped when the temperature-controlled reservoir had emptied. Temperature experiments were performed every morning around 11 am from 18/03/20 to 26/03/20, with an additional experiment in the afternoon of 26/03/20.

Flowrate of the seawater was measured in line at the entrance of the SSA generator using an aqualog sensor.
DOI: 10.6096/4007
title: Sea2Cloud - Seawater - Tangaroa - ASIT - Flowcam - Level 2

description: ASITs (Air-Sea Interface Tanks) are an experimental set-up consisting of two 1.83m3 chambers half filled with seawater from the Chatham Rise area. Three experiment of two days each were lead with three different seawaters : Subtropical, Subantarctic and frontal seawater. Clean marine air was continuously flushed in the chambers and analyzed at the outlet, resulting in a 40 minutes residence time. A single gases and aerosols instrument set was used for both ASITs, ambient and flushing air through a four-port entrance electrovalve switching every 20 minutes. The full set-up is described in Sellegri et al. 2023, Rocco et al. 2021 and Chamba et al. 2023.
DOI: 10.6096/4008
title: Sea2Cloud - Seawater - Tangaroa - ASIT - Flow Cytometry - Level 2

description: ASITs (Air-Sea Interface Tanks) are an experimental set-up consisting of two 1.83m3 chambers half filled with seawater from the Chatham Rise area. Three experiment of two days each were lead with three different seawaters : Subtropical, Subantarctic and frontal seawater. Clean marine air was continuously flushed in the chambers and analyzed at the outlet, resulting in a 40 minutes residence time. A single gases and aerosols instrument set was used for both ASITs, ambient and flushing air through a four-port entrance electrovalve switching every 20 minutes. The full set-up is described in Sellegri et al. 2023, Rocco et al. 2021 and Chamba et al. 2023.
DOI: 10.5255/ukda-sn-856757
title: Universal Credit and Employers: Exploring the Demand Side of UK Active Labour Market Policy, 2021-2022

description: Active labour market policies (ALMPs) are government interventions traditionally focused on moving unemployed people into work. As those ultimately in control of the employment opportunities participants are seeking to access, employers are fundamental to ALMP outcomes. However, research and policy relating to ALMP has tended to ignore employers. Focusing on UK ALMP, as enacted through Universal Credit, this research helps to advance knowledge of this topic by focusing on employer perspectives of ALMP and the conditionality that underpins it for unemployed people and workers on a low income. The research explored how ALMP is understood and experienced by UK employers, how it impacts on how businesses are run, and how employment services can work more effectively with employers, leading to better outcomes for individuals and the wider economy. The UK's main vehicle for ALMP, and flagship policy of recent welfare reforms is Universal Credit (UC). UC is the new working age benefit for those who are either out of work or on a low income. Under UC, social security for unemployed people is conditional on claimants demonstrating work search and other work-related activities. This is underpinned by a 'Work First' approach, emphasising high volumes of applications and fast work re-entry. It also potentially involves the extension of conditionality to those in work, blurring the traditional distinction between social security claimants who are in and outside of the paid labour market . Aims and objectives The project had four main aims. Through qualitative semi-structured interviews with employers, policymakers and other key stakeholders, this research project: 1. explored how UK ALMP is understood and experienced by employers 2. identified how ALMP impacts UK businesses, including how they recruit, retain and progress their staff (including differences between sectors) 3. explored how the impact of ALMP on employers varies in different low pay sectors 4. explored how the public employment service can work effectively with employers to lead to better employment outcomes for claimants The final project report is available via Related Resources.
DOI: 10.21227/yvvz-x719
title: Can we run our Ethereum nodes at home?

description: Scalability is a common issue among the most used permissionless blockchains, and several approaches have been proposed to solve this issue. Tackling scalability while preserving the security and decentralization of the network is a significant challenge. To deliver effective scaling solutions, Ethereum achieved a major protocol improvement, including a change in the consensus mechanism towards Proof of Stake. This improvement aimed a vast reduction of the hardware requirements to run a node, leading to significant sustainability benefits with a lower network energy consumption. This work analyzes the resource usage behavior of different clients running as Ethereum consensus nodes, comparing their performance under different configurations and analyzing their differences. Our results show higher requirements than claimed initially and how different clients react to network perturbations. Furthermore, we discuss the differences between the consensus clients, including their strong points and limitations.
DOI: 10.23634/mmu.00630878
title: Manchester Voices

description: Manchester Voices is a sociolinguistics project exploring the accents, dialects and identities of people across the ten boroughs of Greater Manchester. It generated the following sets of data: (1) Video and audio recordings from The Accent Van – a mobile recording studio in which people reflected on the way they speak and what it means to them. (2) Audio recordings from the Virtual Van – an online version of the Accent Van. (3) Audio recordings from a pronunciation task. (4) Maps and associated labels from an online ‘draw a map’ task.
DOI: 10.6084/m9.figshare.21363106
title: Nano-read-across predictions of toxicity of metal oxide engineered nanoparticles (MeOx ENPS) used in nanopesticides to BEAS-2B and RAW 264.7 cells

description: The demand for nutrients and new technologies has increased with population growth. The agro-technological revolution with metal oxide engineered nanoparticles (MeOx ENPs) has the potential to reform the resilient agricultural system while maintaining the security of food. When utilized extensively, MeOx ENPs may have unintended toxicological effects on both target and non-targeted species. Since limited information about nanopesticides’ pernicious effects is available, <i>in silico</i> modeling can be done to explore these issues. Hence, in the present work, we have applied computational modeling to explore the influence of metal oxide nanoparticles on the toxicity of bronchial epithelial (BEAS-2B) and murine myeloid (RAW 264.7) cells to bridge the data gap relating to the toxicity of MeOx NPs. Initially, partial least squares (PLS) regression models were developed applying the Small Dataset Modeler software (http://teqip.jdvu.ac.in/QSAR_Tools/DTCLab/) using four datasets having effective concentration (EC<sub>50</sub>%) as the endpoints and employing only periodic table descriptors. To further explore the predictions, we applied a read-across approach using the descriptors selected in the QSAR models. Also, the inter-endpoint cytotoxicity relationship modeling (quantitative toxicity-toxicity relationship or QTTR) was conducted. It was found that the result obtained by nano-read-across provided a similar level of accuracy as provided by QSAR. The information derived from the PLS models of both the cell lines suggested that metal cation formation, and bond-forming capacity influence the toxicity whereas the presence of metal has an influential impact on the ecotoxicological effects. Thus, it is feasible to design safe nanopesticides that could be more effective than conventional analogs.
DOI: 10.6084/m9.figshare.21363106.v1
title: Nano-read-across predictions of toxicity of metal oxide engineered nanoparticles (MeOx ENPS) used in nanopesticides to BEAS-2B and RAW 264.7 cells

description: The demand for nutrients and new technologies has increased with population growth. The agro-technological revolution with metal oxide engineered nanoparticles (MeOx ENPs) has the potential to reform the resilient agricultural system while maintaining the security of food. When utilized extensively, MeOx ENPs may have unintended toxicological effects on both target and non-targeted species. Since limited information about nanopesticides’ pernicious effects is available, <i>in silico</i> modeling can be done to explore these issues. Hence, in the present work, we have applied computational modeling to explore the influence of metal oxide nanoparticles on the toxicity of bronchial epithelial (BEAS-2B) and murine myeloid (RAW 264.7) cells to bridge the data gap relating to the toxicity of MeOx NPs. Initially, partial least squares (PLS) regression models were developed applying the Small Dataset Modeler software (http://teqip.jdvu.ac.in/QSAR_Tools/DTCLab/) using four datasets having effective concentration (EC<sub>50</sub>%) as the endpoints and employing only periodic table descriptors. To further explore the predictions, we applied a read-across approach using the descriptors selected in the QSAR models. Also, the inter-endpoint cytotoxicity relationship modeling (quantitative toxicity-toxicity relationship or QTTR) was conducted. It was found that the result obtained by nano-read-across provided a similar level of accuracy as provided by QSAR. The information derived from the PLS models of both the cell lines suggested that metal cation formation, and bond-forming capacity influence the toxicity whereas the presence of metal has an influential impact on the ecotoxicological effects. Thus, it is feasible to design safe nanopesticides that could be more effective than conventional analogs.