cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48597/fpf8-zrye
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/ggrc-s3hu
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/gu4s-57ja
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/h2ty-rftu
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/h2x3-zek7
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/h3e3-ufpt
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/h8f6-4dee
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/hg94-nzrh
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/j8zn-rmkx
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/jakj-m4pu
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/jtww-cgqq
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/k2rr-dsrq
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/kbnd-n6hm
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/kccd-va3k
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/khwh-vkme
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/mq6m-xf5s
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/nbqv-qr9r
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/ndxd-8pxq
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/nufw-4mpj
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/pnyt-y624
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/q5tm-ep2u
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/qdtf-2grv
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/qszh-yjqh
title: Ozone at Giordan Lighthouse

description: Measurement of Ozone at Giordan Lighthouse
DOI: 10.48597/qwc3-9edg
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/qzrn-rsnq
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/r634-xhe4
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/rb8q-hru9
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/rfpa-jywm
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/rfx7-hsjm
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/rgua-hdnu
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.6084/m9.figshare.13611695
title: Targeted urine proteomics in lupus nephritis – a meta-analysis

description: Proteomic approaches are central in biomarker discovery. While mass-spectrometry-based techniques are widely used, novel targeted proteomic platforms have enabled the high-throughput detection of low-abundance proteins in an affinity-based manner. Urine has gained growing attention as an ideal biofluid for monitoring renal disease including lupus nephritis (LN). Pubmed was screened for targeted proteomic studies of LN urine interrogating ≥1000 proteins. Data from the primary studies were combined and a meta-analysis was performed. Shared proteins elevated in active LN across studies were identified, and relevant pathways were elucidated using ingenuity pathway and gene ontology analysis. Urine proteomic data was cross-referenced against renal single-cell RNAseq data from LN kidneys. Two high-throughput targeted proteomic platforms with capacity to interrogate ≥1000 proteins have been used to investigate LN urine. Twenty-three urine proteins were significantly elevated in both studies, including 10 chemokines, and proteins implicated in angiogenesis, and extracellular matrix turnover. Of these, Cathepsin S, CXCL10, FasL, ferritin, macrophage migration inhibitory factor (MIF), and resistin were also significantly elevated within LN kidneys. Targeted urinary proteomics have uncovered multiple novel biomarkers for LN. Further validation in prospective cohorts and mechanistic studies are warranted to establish their clinical utility.
DOI: 10.25573/serc.24916407
title: Sea Level-Driven Marsh Migration Results in Rapid Net Loss of Carbon

description: Sea level rise alters coastal carbon cycling by driving the rapid migration of coastal ecosystems, salinization of freshwater systems, and replacement of terrestrial forests with tidal wetlands. Wetland soils accumulate carbon (C) at faster rates than terrestrial soils, implying that sea level rise may lead to enhanced carbon accumulation. Here, we show that carbon stored in tree biomass greatly exceeds carbon stored in adjacent marsh soils so that marsh migration reduces total carbon stocks by ∼50% in less than 100 years. Continued marsh soil carbon accumulation may eventually offset forest carbon loss, but we estimate that the time for replacement is similar to estimates of marsh survival (i.e., centuries), which suggests that forest C may never be replaced. These findings reveal a critical C source not included in coastal C budgets driven by migrating ecosystems and rapidly shifting allocations between carbon stored in soils and biomass.
DOI: 10.25573/serc.24916407.v1
title: Sea Level-Driven Marsh Migration Results in Rapid Net Loss of Carbon

description: Sea level rise alters coastal carbon cycling by driving the rapid migration of coastal ecosystems, salinization of freshwater systems, and replacement of terrestrial forests with tidal wetlands. Wetland soils accumulate carbon (C) at faster rates than terrestrial soils, implying that sea level rise may lead to enhanced carbon accumulation. Here, we show that carbon stored in tree biomass greatly exceeds carbon stored in adjacent marsh soils so that marsh migration reduces total carbon stocks by ∼50% in less than 100 years. Continued marsh soil carbon accumulation may eventually offset forest carbon loss, but we estimate that the time for replacement is similar to estimates of marsh survival (i.e., centuries), which suggests that forest C may never be replaced. These findings reveal a critical C source not included in coastal C budgets driven by migrating ecosystems and rapidly shifting allocations between carbon stored in soils and biomass.
DOI: 10.5255/ukda-sn-856029
title: Exploring the Impacts of COVID-19 on the Youth Justice System, 2021-2022

description: However, for those in the youth justice system, the impacts were likely to be exceptional. A disproportionate number of these children had complex needs, were from BAME backgrounds, had experienced school exclusions, and many came from groups with generally worse outcomes than average, including those with exposure to adverse childhood experiences (Bateman, 2017). The youth justice system faced a strange hiatus; on the one hand, criminal trials were delayed and arrests were down, while on the other, existing issues of BAME disproportionality, mental health, domestic abuse, and school engagement were areas of acute risk for justice-involved children. There was an urgent need to develop a clear understanding of the impact of the pandemic on these children and those who worked with them. Indeed, there had been a lack of focus on this group both from a political and media perspective.

We did know that the pandemic had had unprecedented implications and consequences for the youth justice system, from how professionals had to adapt to remote working, the delay of criminal trials, and the safety of children in custodial settings. Liaising with our youth justice colleagues, we knew that each stage of the youth justice system responded differently. This project brought together statutory partners, third sector organisations, senior national policy/decision-makers, and children with lived experiences. It provided a unique opportunity to gather insight and to produce impactful recommendations. By involving and working with children in our project, we addressed the usual top-down research hierarchies inherent in youth justice research and ensured that children's voices were prioritised.

The project collected data from a number of stakeholders. Aggregate data is made available from Wales and England, and redacted individual level data from England.
DOI: 10.3886/sdce-ge17
title: Georgia Compact - Samtskhe-Javakheti Roads: Final Analysis Report
DOI: 10.3886/tsj5-p958
title: Georgia Compact - Samtskhe-Javakheti Roads: Final Analysis Report
DOI: 10.6084/m9.figshare.12038031
title: Additional file 4 of Characterisation of the gut microbial community of rhesus macaques in high-altitude environments

description: Additional file 4.
DOI: 10.25573/serc.25222124
title: Dataset: Soil organic matter in fringing and meadow salt marshes in Great Bay, New Hampshire and southern Maine

description: This study compared the functions and values of fringing salt marshes to those of meadow marshes along the southern Maine/New Hampshire coast. Differences included soil organic matter content, plant species richness, and percent cover of high and low-marsh species. More sediment was trapped per unit area in fringing marshes than in meadow marshes, but this difference was not significant. Similarities included aboveground and belowground peak season biomass and the ability to dampen wave energy. Both marsh types reduced the height of waves coming onto the marsh surface by 63% only 7 m into the marsh. Fringing marshes are diverse in terms of their physical characteristics (width, length, slope, elevation, soils). Despite their small size, they are valuable components of estuaries, performing many ecological functions to the same degree as nearby meadow marshes. More effort should be made to include them in regional efforts to conserve and restore coastal habitats.
DOI: 10.25573/serc.25222124.v1
title: Dataset: Soil organic matter in fringing and meadow salt marshes in Great Bay, New Hampshire and southern Maine

description: This study compared the functions and values of fringing salt marshes to those of meadow marshes along the southern Maine/New Hampshire coast. Differences included soil organic matter content, plant species richness, and percent cover of high and low-marsh species. More sediment was trapped per unit area in fringing marshes than in meadow marshes, but this difference was not significant. Similarities included aboveground and belowground peak season biomass and the ability to dampen wave energy. Both marsh types reduced the height of waves coming onto the marsh surface by 63% only 7 m into the marsh. Fringing marshes are diverse in terms of their physical characteristics (width, length, slope, elevation, soils). Despite their small size, they are valuable components of estuaries, performing many ecological functions to the same degree as nearby meadow marshes. More effort should be made to include them in regional efforts to conserve and restore coastal habitats.
DOI: 10.6084/m9.figshare.15184676
title: Additional file 2 of Time-dependent effect of 1,6-hexanediol on biomolecular condensates and 3D chromatin organization

description: Additional file 2: Table S1. Primers for ChIP-qPCR assays in Fig. S1E and 3C-qPCR assays in Fig. 4F and Fig. S7G-H.
DOI: 10.12770/c9011630-a7f5-11dc-bb52-000086f6a62e
title: Communes françaises (version SIH)

description: La commune est la plus petite subdivision administrative française mais aussi la plus ancienne. Pour chaque commune, un code INSEE (unique) est associé.
DOI: 10.6084/m9.figshare.15184677
title: Additional file 2 of Dysregulated long noncoding RNAs in the brainstem of the DBA/1 mouse model of SUDEP

description: Additional file 2. Details of the corresponding probe and region of each lincRNA
DOI: 10.6084/m9.figshare.15184677.v1
title: Additional file 2 of Dysregulated long noncoding RNAs in the brainstem of the DBA/1 mouse model of SUDEP

description: Additional file 2. Details of the corresponding probe and region of each lincRNA
DOI: 10.6084/m9.figshare.7320374
title: Additional file 1: of Cow-to-mouse fecal transplantations suggest intestinal microbiome as one cause of mastitis

description: Table S1. General information of the FMT donors (cow) and recipients (mouse). (XLSX 12 kb)
DOI: 10.6084/m9.figshare.7320374.v1
title: Additional file 1: of Cow-to-mouse fecal transplantations suggest intestinal microbiome as one cause of mastitis

description: Table S1. General information of the FMT donors (cow) and recipients (mouse). (XLSX 12 kb)
DOI: 10.34740/kaggle/dsv/7738455
title: MosquitoFusion Dataset
DOI: 10.6084/m9.figshare.7320380.v1
title: Additional file 2: of Cow-to-mouse fecal transplantations suggest intestinal microbiome as one cause of mastitis

description: Table S2. A. Differential OTUs between mastitis and healthy cows. B. Differential OTUs between Group H and Group M in mice. C. Differential OTUs between Group M and Group P in mice. (XLSX 19 kb)
DOI: 10.6084/m9.figshare.7320392
title: Additional file 3: of Cow-to-mouse fecal transplantations suggest intestinal microbiome as one cause of mastitis

description: Table S3. A. Relative abundance of identified KOs in cows. B. Relative abundance of identified KOs in mice. C. Differential KOs between mastitis and healthy cows. D. Differential KOs between Group H and Group M in mice. E. Differential KOs between Group M and Group P in mice. F. Enriched pathways between mastitis and healthy cows. G. Enriched pathways between Group H and Group M in mice. H. Enriched pathways between Group M and Group P in mice. (XLSX 2986 kb)
DOI: 10.6084/m9.figshare.7320392.v1
title: Additional file 3: of Cow-to-mouse fecal transplantations suggest intestinal microbiome as one cause of mastitis

description: Table S3. A. Relative abundance of identified KOs in cows. B. Relative abundance of identified KOs in mice. C. Differential KOs between mastitis and healthy cows. D. Differential KOs between Group H and Group M in mice. E. Differential KOs between Group M and Group P in mice. F. Enriched pathways between mastitis and healthy cows. G. Enriched pathways between Group H and Group M in mice. H. Enriched pathways between Group M and Group P in mice. (XLSX 2986 kb)
DOI: 10.6084/m9.figshare.7320404.v1
title: Additional file 4: of Cow-to-mouse fecal transplantations suggest intestinal microbiome as one cause of mastitis

description: Table S4. A. Spearman coefficients between differential OTUs and KOs in cows. B. Spearman coefficients between differential OTUs and KOs in mice. (XLSX 51 kb)
DOI: 10.6084/m9.figshare.12038118.v1
title: Additional file 1 of Anti-colorectal cancer effects of scutellarin revealed by genomic and proteomic analysis

description: Additional file 1. The original IC50 data of RKO cells calculated by Graphpad Prism.
DOI: 10.48597/rzzq-nywx
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/sac8-nh9r
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/sr85-2mkp
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.6084/m9.figshare.7320422
title: Additional file 6: of Cow-to-mouse fecal transplantations suggest intestinal microbiome as one cause of mastitis

description: Table S5. Level of inflammatory cytokines in various mouse tissues as measured by ELISA. (XLSX 10 kb)
DOI: 10.48597/t7j5-4a63
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/t8pj-s8rm
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.6084/m9.figshare.7320422.v1
title: Additional file 6: of Cow-to-mouse fecal transplantations suggest intestinal microbiome as one cause of mastitis

description: Table S5. Level of inflammatory cytokines in various mouse tissues as measured by ELISA. (XLSX 10 kb)
DOI: 10.48597/t9y3-r7e4
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/tbwh-rszw
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/tey6-8w46
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/tuxy-uzwh
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/u52t-54pd
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/u7un-k8xz
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.6084/m9.figshare.7320404
title: Additional file 4: of Cow-to-mouse fecal transplantations suggest intestinal microbiome as one cause of mastitis

description: Table S4. A. Spearman coefficients between differential OTUs and KOs in cows. B. Spearman coefficients between differential OTUs and KOs in mice. (XLSX 51 kb)
DOI: 10.48597/u7wb-r3fa
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/u889-hhag
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/uuvy-z86k
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/uz6w-6pxf
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.5255/ukda-sn-857054
title: Using Positive Simulation Training to Improve Predictions about the Future in Depression, 2019-2023

description: Previous research has shown that depression is associated with a negative thinking style, whereby individuals hold negative views about themselves, the world, and the future. Moreover, it has been argued that holding negative views about the future is a key factor in causing and maintaining depressive episodes (Roepke & Seligman, 2015). The research conducted within this project builds on our lab’s previous findings (Boland et al, 2018) that views about the future can be made less negative by "Positive Simulation Training" (PST), whereby individuals repeatedly engage in positive episodic simulations about potential future events. This research found that PST led to improvements in participants' expectations about the future events, compared to a neutral visualisation task. Positive future events were rated as more likely to occur and negative events less likely, and individuals rated themselves as having more control over both positive and negative future events. These effects were observed in individuals with and without elevated levels of depressive symptomatology. Across six experiments, the project extended our preliminary findings with further explorations of the effects of PST: 

Experiments 1a and 1b compared the effects of four different versions of PST, relative to a neutral visualisation task, on future event expectancies (likelihood of occurrence, controllability, importance, anticipated happiness, anticipated disappointment). The core aim of these two experiments was to establish whether any one form of Positive Simulation Training modifies future event expectancies more than others.

Experiments 2 and 3 extended this to investigate the impact of PST on expectancies for personally relevant vs. irrelevant events (Exp. 2) and for personal goals (Exp. 3). The aims of these experiments were to establish whether PST lead to more positive views about future events that are personally important. 

Experiments 4 and 5 investigated the impact of PST on dispositional optimism, by exploring whether the effects of PST extend beyond material that is explicitly related to that simulated during training. Experiment 4 explored whether PST modified responses on an implicit measure of future expectancies whilst Experiment 5 examined the effects of PST on anticipated emotions/affective forecasts within a laboratory game of chance involving monetary wins/losses.
DOI: 10.48597/v5hy-cf99
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/v9d4-wqvu
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/vcw4-rnu9
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/vmqv-xks4
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/vyv4-h9tn
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/wgux-3mh2
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/wrrs-rrkc
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)
DOI: 10.48597/xmk3-m2uq
title: Particle_number_size_distribution at Kosetice (NOAK)

description: Measurement of Particle_number_size_distribution at Kosetice (NOAK)