cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8272789
title: Identifying GPCRs involved in adipose tissue function using the innovative RNA-seq database FATTLAS

description: G protein-coupled receptors (GPCRs) modulate the function of adipose tissue (AT) in general and of adipocytes, specifically. Although it is well-established that GPCRs are widely expressed in AT, their repertoire as well as their regulation and function in (patho)physiological conditions (e.g., obesity) is not fully resolved. Here, we established FATTLAS, an interactive public database, for improved access and analysis of RNA-seq data of mouse and human AT. After extracting the GPCRome of non-obese and obese individuals, highly expressed and regulated GPCRs were identified. Exemplarily, we describe four receptors (MRGPRF, GPR146, FZD5, PTGER2) and analyzed their functions in a (pre)adipocyte cell model. Besides all receptors being involved in adipogenesis, MRGPRF is essential for adipocyte viability and regulates cAMP levels, while GPR146 modulates adipocyte lipolysis via constitutive activation of Gi proteins. Taken together, by implementing and using FATTLAS we describe four hitherto unrecognized GPCRs associated with AT function and adipogenesis.
DOI: 10.5281/zenodo.7755311
title: Dataset for manuscript "Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning"

description: Dataset for the github repository containing the code for the manuscript "Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning".
DOI: 10.5281/zenodo.7849347
title: Dataset for manuscript "Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning"

description: Dataset for the github repository containing the code for the manuscript "Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning".
DOI: 10.5281/zenodo.8214060
title: UAVVaste dataset

description: The UAVVaste dataset consists to date of 772 images and 3718 annotations. The main motivation for the creation of the dataset was the lack of domain-specific data. Therefore, this image set is recommended for object detection evaluation benchmarking but also for developing solutions related to UAVs, remote sensing, or even environmental cleaning.
DOI: 10.26106/882d-z169
title: Dane badawcze z projektu NCN "Analiza elementów kultury wizualnej późnej epoki brązu w egejskim kręgu kulturowym"

description: Zbiór zdjęć oraz filmów ze stanowisk archeologicznych oraz muzeów
DOI: 10.5519/qd.vt8x5fri
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc1m71jf
title: CCDC 1496324: Experimental Crystal Structure Determination

description: Related Article: Matin RoshanZamir, Reza Rooydell, Sanjaya Brahma, Ruey-Chi Wang, Chuan-Pu Liu|2016|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24167178
title: Genome assembly of <i>Zeugodacus </i><i>tau</i>

description: Fasta file of genome assembly for the Genome assembly of <i>Zeugodacus </i><i>tau</i>
DOI: 10.6084/m9.figshare.24167178.v2
title: Genome assembly of <i>Zeugodacus </i><i>tau</i>

description: Fasta file of genome assembly for the Genome assembly of <i>Zeugodacus </i><i>tau</i>
DOI: 10.6084/m9.figshare.24167178.v1
title: Genome assembly of <i>Zeugodacus </i><i>tau</i>

description: Fasta file of genome assembly for the Genome assembly of <i>Zeugodacus </i><i>tau</i>
DOI: 10.7910/dvn/t9sdew/d0qhzh
title: COLDAT_dyads.tab

description: COLDAT (by colony-colonizer dyad)
DOI: 10.7910/dvn/t9sdew/fytvwa
title: COLDAT_colonies.tab

description: COLDAT (by colony)
DOI: 10.26106/rm6y-ck54
title: Pilotage data on the unified test of metaphor, humor, and irony comprehension (MCFLCT)

description: Artur Daren - techniczne opracowanie danych badawczych. Data on Multiple Choice Figurative Language Comprehension Test (MCFLCT) on 54 healthy controls and 54 schizophrenia individuals, including socio-demographic, clinical (PANSS), cognitive skills (ACE-III) data.
DOI: 10.5281/zenodo.8233989
title: Developers Talking About Code Quality: study design and dataset

description: <strong>Electronic supplement for the article <em>Developers Talking About Code Quality</em></strong> Please refer to the following paper when you cite/use this data: J. Börstler, K.E. Bennin, S. Hooshangi, J. Jeuring, H. Keuning, C. Kleiner, B. MacKellar, R. Duran, H. Störrle, D. Toll, J van Assema. Developers Talking About Code Quality. <em>Empirical Software Engineering</em>, 2023.<br> https://link.springer.com/article/10.1007/s10664-023-10381-0 <strong>Overview of the electronic supplement</strong> (sorted according to file names) The data data_all-except-Q4.xlsx<br> The original cleaned data for Questions Q1-Q3 and Q5-Q11. data_Q4 assertions.xlsx<br> The "assertions" which are based on the transcripts of Q4. The information provided to study participants participants_consent-form_EN.pdf<br> The consent form the participants signed (English version, interviewees received a copy on request). participants_interview-info.pdf<br> The information sheet that was handed out for recruiting interview participants (they could keep this form). The study design and guidelines study-design_coding-guide_birds-eye-summaries.pdf<br> The guidelines for coding the transcripts of Q4 into "assertions" (which we call "birds-eye summaries" in these guidelines). study-design_main.pdf<br> The main study guide comprising (among others) a <strong>detailed interview script</strong>. study-design_transcription.pdf<br> The guidelines used for transcribing Q4.
DOI: 10.5281/zenodo.8233988
title: Developers Talking About Code Quality: study design and dataset

description: <strong>Electronic supplement for the article <em>Developers Talking About Code Quality</em></strong> Please refer to the following paper when you cite/use this data: J. Börstler, K.E. Bennin, S. Hooshangi, J. Jeuring, H. Keuning, C. Kleiner, B. MacKellar, R. Duran, H. Störrle, D. Toll, J van Assema. Developers Talking About Code Quality. <em>Empirical Software Engineering</em>, 2023.<br> https://link.springer.com/article/10.1007/s10664-023-10381-0 <strong>Overview of the electronic supplement</strong> (sorted according to file names) The data data_all-except-Q4.xlsx<br> The original cleaned data for Questions Q1-Q3 and Q5-Q11. data_Q4 assertions.xlsx<br> The "assertions" which are based on the transcripts of Q4. The information provided to study participants participants_consent-form_EN.pdf<br> The consent form the participants signed (English version, interviewees received a copy on request). participants_interview-info.pdf<br> The information sheet that was handed out for recruiting interview participants (they could keep this form). The study design and guidelines study-design_coding-guide_birds-eye-summaries.pdf<br> The guidelines for coding the transcripts of Q4 into "assertions" (which we call "birds-eye summaries" in these guidelines). study-design_main.pdf<br> The main study guide comprising (among others) a <strong>detailed interview script</strong>. study-design_transcription.pdf<br> The guidelines used for transcribing Q4.
DOI: 10.5281/zenodo.7908728
title: THRawS

description: THRawS is a new dataset of raw Sentinel-2 (S-2) satellite data containing warm temperature hotspots such as wildfires and volcanic eruptions from around the world. The dataset aims to promote the development of energy-efficient pre-processing algorithms and AI models for onboard-satellite applications. A custom methodology was designed to identify events in raw data using corresponding Level-1C (L1C) products and a lightweight coarse coregistration and georeferencing strategy was employed to deal with unprocessed data. The dataset comprises over 100 samples, including wildfire, volcanic eruption, and event-free volcanic areas, to enable warm-events detection and general classification applications. Finally, the performances of the proposed coarse spatial coregistration technique and the SuperGlue Deep Neural Network method were compared to highlight different constraints in terms of timing and quality of spatial registration to minimize spatial displacement error for a specific scene.<br> <br> Github Repo: https://github.com/ESA-PhiLab/PyRawS
description: - The json file includes the corresponding L1C files. - Github Repo:https://github.com/ESA-PhiLab/PyRawS
DOI: 10.5281/zenodo.7908727
title: THRawS

description: THRawS is a new dataset of raw Sentinel-2 (S-2) satellite data containing warm temperature hotspots such as wildfires and volcanic eruptions from around the world. The dataset aims to promote the development of energy-efficient pre-processing algorithms and AI models for onboard-satellite applications. A custom methodology was designed to identify events in raw data using corresponding Level-1C (L1C) products and a lightweight coarse coregistration and georeferencing strategy was employed to deal with unprocessed data. The dataset comprises over 100 samples, including wildfire, volcanic eruption, and event-free volcanic areas, to enable warm-events detection and general classification applications. Finally, the performances of the proposed coarse spatial coregistration technique and the SuperGlue Deep Neural Network method were compared to highlight different constraints in terms of timing and quality of spatial registration to minimize spatial displacement error for a specific scene.<br> <br> Github Repo: https://github.com/ESA-PhiLab/PyRawS
description: - The json file includes the corresponding L1C files. - Github Repo:https://github.com/ESA-PhiLab/PyRawS
DOI: 10.5281/zenodo.8367083
title: THRawS

description: THRawS is a new dataset of raw Sentinel-2 (S-2) satellite data containing warm temperature hotspots such as wildfires and volcanic eruptions from around the world. The dataset aims to promote the development of energy-efficient pre-processing algorithms and AI models for onboard-satellite applications. A custom methodology was designed to identify events in raw data using corresponding Level-1C (L1C) products and a lightweight coarse coregistration and georeferencing strategy was employed to deal with unprocessed data. The dataset comprises over 100 samples, including wildfire, volcanic eruption, and event-free volcanic areas, to enable warm-events detection and general classification applications. Finally, the performances of the proposed coarse spatial coregistration technique and the SuperGlue Deep Neural Network method were compared to highlight different constraints in terms of timing and quality of spatial registration to minimize spatial displacement error for a specific scene.<br> <br> Github Repo: https://github.com/ESA-PhiLab/PyRawS
description: - The json file includes the corresponding L1C files. - Github Repo:https://github.com/ESA-PhiLab/PyRawS
DOI: 10.5281/zenodo.8367052
title: Dataset for manuscript "Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning"

description: Dataset for the github repository containing the code for the manuscript "Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning".
DOI: 10.5281/zenodo.7755310
title: Dataset for manuscript "Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning"

description: Dataset for the github repository containing the code for the manuscript "Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning".
DOI: 10.6084/m9.figshare.23977797.v1
title: Supplementary Material for: Liver enzymes and the risk of stroke among the general Japanese population: a prospective cohort study

description: Background: Stroke is a major cause of morbidity and mortality. Liver enzymes, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl transpeptidase (GGT), are markers of liver diseases with potential cardiovascular implications. Objective: This study aimed to investigate the prospective association between liver enzymes and stroke risk. Methods: We analyzed data from 3,379 men and 4,007 women without cardiovascular disease and registered in the Suita Study; a Japanese population-based prospective cohort study. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) of stroke risk were estimated per quintiles of ALT, AST, and GGT in men and women. Results: Within a median follow-up period of 16.7 years, 438 incident stroke events were diagnosed. In men, compared to the second quintiles, the fifth (highest) quintiles of liver enzymes showed increased stroke risks: HRs (95% CIs) = 2.07 (1.35, 3.18) in ALT, 1.66 (1.10, 2.53) in AST, and 1.76 (1.11, 2.81) in GGT. The associations did not change with cerebral infarction risk: HRs (95% CIs) = 2.09 (1.24, 3.50) in ALT, 1.84 (1.11, 3.06) in AST, and 1.74 (1.00, 3.04) in GGT, respectively. The lowest ALT, AST, and GGT quintiles tended to show increased stroke and cerebral infarction risks, yet these associations were statistically insignificant. No such associations were shown in women. Conclusion: Elevated ALT, AST, and GGT levels were associated with increased stroke and cerebral infarction risks among Japanese men.
DOI: 10.6084/m9.figshare.23993490
title: Supplementary Material for: Associations between antiepileptic use and hypogammaglobulinaemia: Findings from a population-based case-control study using data linkage.

description: Background and objectives Increased mortality in epilepsy due to infections (other than pneumonia) has been demonstrated. Small case series of people on antiepileptic drugs (AEDs) have described hypogammaglobulinaemia, which may predispose to infections. It is unclear whether hypogammaglobulinaemia is more frequent in people on AEDs, what AEDs it is associated with, or what clinical impact it has. In this population-based study, we aimed to determine whether AEDs were associated with hypogammaglobulinaemia, which AEDs were associated, and whether the associations may be causal. Methods We conducted an unmatched case-control study using data linkage of routinely-collected biochemistry, prescribing, and morbidity datasets in North-East Scotland from 2009-2021. Cases were participants with immunoglobulin levels less than the reference range. Controls were those with normal/high immunoglobulin levels. Logistic regression was used to investigate associations between AED exposure and any hypogammaglobulinaemia, adjusting for age, sex and comorbidity. We also analysed low IgA, IgM and IgG separately. We analysed 'any AED' exposure and common individual drugs separately. Cumulative exposure data were used to determine whether an exposure-response relationship was present. Results 18,666 cases and 127,157 controls were identified. Use of any AED was associated with increased risk of hypogammaglobulinaemia (adjusted odds ratio [aOR] 1.20 [95% CI 1.15-1.25]). Phenytoin use was strongly associated with low IgA (aOR 5.90 [95% CI 3.04, 10.43]). Carbamazepine and lamotrigine were also associated with low IgA. Apart from topiramate, which was associated with a non-significant decrease in odds of hypogammaglobulinaemia, there was a consistent increase in odds of hypogammaglobulinaemia across most AEDs studied. Panhypogammaglobulinaemia was associated with any AED use, carbamazepine, lamotrigine, gabapentin and multiple AED use. There was evidence of an exposure-response relationship between any AED use and any hypogammaglobulinaemia, low IgA and low IgG. Carbamazepine and probably lamotrigine also had an exposure-response relationship with any hypogammaglobulinaemia. Discussion AEDs may increase hypogammaglobulinaemia risk. Specific classes of immunoglobulins are differentially affected, and the exposure-response analysis suggests this may be causal. Further work should investigate the clinical impact of these findings. Clinicians should check immunoglobulin levels if unusual or recurrent infections occur in patients treated with AEDs.
DOI: 10.6084/m9.figshare.23993490.v1
title: Supplementary Material for: Associations between antiepileptic use and hypogammaglobulinaemia: Findings from a population-based case-control study using data linkage.

description: Background and objectives Increased mortality in epilepsy due to infections (other than pneumonia) has been demonstrated. Small case series of people on antiepileptic drugs (AEDs) have described hypogammaglobulinaemia, which may predispose to infections. It is unclear whether hypogammaglobulinaemia is more frequent in people on AEDs, what AEDs it is associated with, or what clinical impact it has. In this population-based study, we aimed to determine whether AEDs were associated with hypogammaglobulinaemia, which AEDs were associated, and whether the associations may be causal. Methods We conducted an unmatched case-control study using data linkage of routinely-collected biochemistry, prescribing, and morbidity datasets in North-East Scotland from 2009-2021. Cases were participants with immunoglobulin levels less than the reference range. Controls were those with normal/high immunoglobulin levels. Logistic regression was used to investigate associations between AED exposure and any hypogammaglobulinaemia, adjusting for age, sex and comorbidity. We also analysed low IgA, IgM and IgG separately. We analysed 'any AED' exposure and common individual drugs separately. Cumulative exposure data were used to determine whether an exposure-response relationship was present. Results 18,666 cases and 127,157 controls were identified. Use of any AED was associated with increased risk of hypogammaglobulinaemia (adjusted odds ratio [aOR] 1.20 [95% CI 1.15-1.25]). Phenytoin use was strongly associated with low IgA (aOR 5.90 [95% CI 3.04, 10.43]). Carbamazepine and lamotrigine were also associated with low IgA. Apart from topiramate, which was associated with a non-significant decrease in odds of hypogammaglobulinaemia, there was a consistent increase in odds of hypogammaglobulinaemia across most AEDs studied. Panhypogammaglobulinaemia was associated with any AED use, carbamazepine, lamotrigine, gabapentin and multiple AED use. There was evidence of an exposure-response relationship between any AED use and any hypogammaglobulinaemia, low IgA and low IgG. Carbamazepine and probably lamotrigine also had an exposure-response relationship with any hypogammaglobulinaemia. Discussion AEDs may increase hypogammaglobulinaemia risk. Specific classes of immunoglobulins are differentially affected, and the exposure-response analysis suggests this may be causal. Further work should investigate the clinical impact of these findings. Clinicians should check immunoglobulin levels if unusual or recurrent infections occur in patients treated with AEDs.
DOI: 10.5281/zenodo.8365706
title: sat

description: sat
DOI: 10.5281/zenodo.8365705
title: sat

description: sat
DOI: 10.6084/m9.figshare.23998353.v1
title: Supplementary Material for: The global prevalence and severity of dental caries among racially minoritized children: A systematic review and meta-analysis

description: Racially minoritized children often bear a greater burden of dental caries, but the overall magnitude of racial gaps in oral health and their underlying factors are unknown. A systematic review and meta-analysis were conducted to fill these knowledge gaps. We compared racially minoritized (E) children aged 5 to 11 years (P) with same-age privileged groups (C) to determine the magnitude and correlates of racial inequities in dental caries (O) in observational studies (S). Using the PICOS selection criteria, a targeted search was performed from inception to December 1st, 2021, in nine major electronic databases and an online web search for additional grey literature. The primary outcome measures were caries severity, as assessed by mean decayed, missing, and filled teeth (dmft) among children and untreated dental caries prevalence (% d&gt;0). The meta-analysis used the random-effects model to calculate standardized mean differences (SMD) and 95% confidence intervals (95% CI). Subgroup analysis, tests for heterogeneity (I2, Galbraith plot), leave-one-out sensitivity analysis, cumulative analysis, and publication bias (Egger’s test and funnel plots) tests were carried out. The New Castle Ottawa scale was used to assess risk of bias. This review was registered with PROSPERO, CRD42021282771. A total of 75 publications were included in the descriptive analysis. The SMD of dmft score was higher by 2.30 (95% CI: 0.45, 4.15), and the prevalence of untreated dental caries was 23% (95% CI: 16, 31) higher among racially minoritized children, compared to privileged groups. Cumulative analysis showed worsening caries outcomes for racially marginalized children over time and larger inequities in dmft among high-income countries. Our study highlights the high caries burden among minoritized children globally by estimating overall trends and comparing against factors including time, country, and world income. The large magnitude of these inequities, combined with empirical evidence on the oral health impacts of racism and other forms of oppression, reinforce that oral health equity can only be achieved with social and political changes at a global level.
DOI: 10.34636/dmportal/5g5da5
title: TRACE-RICE: physico-chemical_data_INIAV

description: Within the scope of the TRACE-RICE project, this study performed at INIAV research institute (Portugal) aims to characterize and discriminate between 22 rice varieties, which are mostly commercialized within the Mediterranean region. With this purpose, quality data was obtained from 22 samples of different rice varieties (originated from Portugal, Spain, France, Italy, Pakistan and Egypt).
DOI: 10.34636/dmportal/5g5da5/0dq4ii
title: Dados.tab

description: :unav
DOI: 10.34636/dmportal/5g5da5/xb5i48
title: Dados.tab

description: :unav
DOI: 10.34636/dmportal/5g5da5/xc5gjf
title: Dados.tab

description: :unav