cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27247296
title: Supplementary Material for: Bidirectional Impact of Varying Severity of Acute Kidney Injury on Calcium Oxalate Stone Formation

description: Introduction: Acute Kidney Injury (AKI) is a prevalent renal disorder. The occurrence of AKI may promote the formation of renal calcium oxalate stones by exerting continuous effects on renal tubular epithelial cells. We aimed to delineate the molecular interplay between AKI and nephrolithiasis.
Methods: A mild (20 min) and severe (30 min) renal ischemia-reperfusion injury model was established in mice. Seven days after injury, calcium oxalate stones were induced using glyoxylate (Gly) to evaluate the impact of AKI on the formation of kidney stones. Transcriptome sequencing was performed on tubular epithelial cells (TECs) to elucidate the relationship between AKI severity and kidney stones. Key transcription factors (TF) regulating differential gene transcription levels were identified using motif analysis, and pioglitazone, ginkgetin, and fludarabine were used for targeted therapy to validate key transcription factors as potential targets for kidney stone treatment.
Results: Severe AKI led to increased deposition of calcium oxalate crystals in renal, impaired kidney function, and upregulation of kidney stone-related gene expression. In contrast, mild AKI was associated with decreased crystal deposition, preserved kidney function, and downregulation of similar gene expression. Transcriptomic analysis revealed that genes associated with inflammation and cell adhesion pathways were significantly upregulated after severe AKI, while genes related to energy metabolism pathways were significantly upregulated after mild AKI. An integrative bioinformatic analysis uncovered a TF regulatory network within TECs, pinpointing that PKNOX1 was involved in the upregulation of inflammation-related genes after severe AKI, and inhibiting PKNOX1 function with Pioglitazone could simultaneously reduce the increase of calcium oxalate crystals after severe AKI in kidney. On the other hand, motif analysis also revealed the protective role of STAT1 in the kidneys after mild AKI, enhancing the function of STAT1 with Ginkgetin could reduce kidney stone formation, while the specific inhibitor of STAT1, Fludarabine, could eliminate the therapeutic effects of mild AKI on kidney stones.
Conclusion: Inadequate repair of tubular epithelial cells after severe AKI increases the risk of kidney stone formation, with the upregulation of inflammation-related genes regulated by PKNOX1 playing a role in this process. Inhibiting PKNOX1 function can reduce kidney stone formation. Conversely, after mild AKI, effective cell repair through upregulation of STAT1 expression can protect TEC function, reduce stone formation, and activating STAT1 function can also achieve the goal of treating kidney stones.
DOI: 10.6084/m9.figshare.27684762
title: Supplementary Material for: Comprehensive analysis of radiologic cancer-free (rCF) status through various treatment approaches in advanced-stage hepatocellular carcinoma

description: Introduction
In the realm of oncology, the pinnacle of therapeutic success is achieving a state where the patient is entirely free of cancer, i.e. ‘cancer-free’. This benchmark should not only apply to early-stage malignancies but should also be the standard aim for advanced-stage diseases, including hepatocellular carcinoma (HCC). However, there is a glaring gap in the research landscape concerning the understanding of what cancer-free status truly means for advanced-stage HCC. Our study sheds light on the profound implications of reaching a cancer-free by radiological assessments in patients with advanced-stage HCC.
Methods
We established a database tracking the full clinical course of all patients with HCC (from 2003–2022). We identified the initial instances of macrovascular invasion or extrahepatic spread. We defined radiologic cancer-free (rCF) as cases in which no recurrence was observed for at least 2 months following curative treatment or complete response to systemic therapies. The frequency of achieving rCF status was investigated, categorised by patients’ background.
Results
We identified 795 patients with advanced-stage HCC. The rCF rate was 8.7%. Patients who achieved rCF status had significantly better prognoses compared to those who did not (p &lt; 0.001). In the decision tree analysis, the number of tumors ≥8 was the strongest factor making it difficult to achieve rCF status. Analysis of stage progression patterns revealed varying background characteristics at the time of advanced-stage diagnosis, with discrepancies in rCF rates.
Conclusions
Despite the low rate of achieving rCF status, the prognostic impact was significant. Patients with certain tumor characteristics had a higher likelihood of achieving rCF status. The distribution of tumor conditions varies based on the pattern of progression, which affects the likelihood of achieving a rCF status.
DOI: 10.58142/swps-ins-ap-01.11.24
title: Displaced Ukrainian Youth in Poland: lived experiences two years on
DOI: 10.11583/dtu.24168960.v1
title: Roenne Aa Survey, Sweden

description: The Rønne Å survey is part of the EU Horizon project UAWOS. All datasets belonging to the UAWOS project can be accessed here. The Rønne Å survey in Southern Sweden survey was carried out in August/September 2023. The primary purpose was to validate the new UAWOS hydrometry payloads against in-situ ground truth and legacy UAS hydrometry payloads. The datatset contains water surface elevation, bathymetry, land elevation and water surface velocity datasets collected using different drone-borne and in-situ sensors. Data is shared at three processing levels: The raw data (Level 1), processed point data (Level 2), and point data referenced to a reference river centerline / reference cross section lines (Level 3). Specialized software is required to process most Level 1 data, while Level 2/3 data comes in standard comma-separated ASCII files. More details about the different datasets and processing levels are included in the dataset readme file and the readme files belonging to the individual datasets.
DOI: 10.18120/cq9c-d057
title: Chronic adaptive deep brain stimulation is superior to conventional stimulation in Parkinson's disease
DOI: 10.24432/c55s3h
title: Default of Credit Card Clients
DOI: 10.24432/c5rk6v
title: Activity recognition using wearable physiological measurements
DOI: 10.26050/wdcc/ar6.c6spmou0
title: IPCC DDC: MOHC UKESM1.0-LL model output prepared for CMIP6 ScenarioMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.MOHC.UKESM1-0-LL' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.48436/hv20e-zzb35
title: MSDv1: Manufacturing Sound Dataset for Classification of Work-related Actions and their Sound

description: Currently, a dataset that contains sounds specific to manufacturing and/or assembly environment is not available. Within the Master's thesis "Sound is Context: Acoustic Work Step Classification using Deep Learning", a suitable dataset was created and open-sourced to public and research. The dataset contains a selection of typical production activities, which can be classified based only on their typical sounds. The recordings were performed in the Pilot Factory of the Vienna University of Technology.
The chosen production activities/sounds are:

Grabing screws from a box
Sanding
Filing
Hammer
Cordless screwdriver
Press drill
Bench grinder
The recording devices were the built-in microphone of a iPhone 13 Mini Smartphone and the Apple AUX-Headset microphone on a ASUS ZenBook 14 UM433I laptop. As smartphone recording applications, the standard Voice Memos App from Apple and the Voice Recorder & Memos Pro App from Linfei Ltd. were used, and on the laptop the standard Windows Voice Recorder was used. The different recording positions were 80cm away from the noise source, close (meaning 0-30cm), at the chest pocket, on a shelve above, reverse (meaning microphone was facing away or had an obstacle in between), or mixed (which means a variety of the before mentioned positions). To produce the sounds, the tempo, the intensity, the movement pattern, the rhythm, the hand, etc. were changed regularly, furthermore, due to the current work operation in the pilot factory, a wide variety of background noises were also recorded, which additionally increases the variance.
The recordings are available raw, without any pre-processing. Please refer to the thesis for information about pre-processing and the classification model.
DOI: 10.5281/zenodo.13794520
title: Data for: Vertical and diel niches modulate thermal selection by rainforest frogs (Klinges et al. 2024, Proc B)

description: paper published in Proceedings of the Royal Society B

DOI: 10.1098/rspb.2024.1497
DOI: 10.6084/m9.figshare.27613305
title: <b>Consumption-based Emission of African Countries: An Analysis of Decoupling Dynamics and Drivers</b>

description: Here we uploaded the results developed in the manuscript: "<b>Consumption-based emissions of </b><b>African Countries: An Analysis of Decoupling Dynamics and Drivers</b>". The results contained Production-based CO2 emissions in African economies from 2015 to 2019, and Consumption-based CO2 emissions in African economies from 2015 to 2019.
DOI: 10.6084/m9.figshare.27685851
title: Supplementary Material for: Comparative Efficacy and Safety of Anesthetic and Sedative Regimens for Endoscopic Retrograde Cholangiopancreatography: A Network Meta-analysis

description: Introduction: This study evaluates the efficacy and safety of various anesthetic and sedative regimens for Endoscopic Retrograde Cholangiopancreatography (ERCP) procedures.
Methods: A systematic search was conducted across PubMed, Web of Science, Scopus, and Embase to identify randomized controlled trials (RCTs) published until March 2024. Primary outcomes included procedure time, patient satisfaction, oxygen saturation (SpO2), incidence of SpO2 below 90%, and adverse events. The analysis was performed using R software, analyzing continuous outcomes with mean differences and dichotomous outcomes with risk ratios.
Results: 42 RCTs were included. Combination therapies such as remifentanil plus tramadol and propofol plus midazolam plus pethidine demonstrated significantly shorter procedure times. Propofol plus oxycodone yielded higher patient satisfaction. Oxygenation results indicated that propofol plus fentanyl, oxycodone, and ketamine improved SpO2. Propofol plus oxycodone (RR&lt;0.01), dexmedetomidine plus fentanyl (RR&lt;0.01), propofol plus nalbuphine (RR=0.01), Mg sulfate plus propofol (RR=0.01), and propofol plus fentanyl (RR=0.02), showed a significant lower rate of patients with SpO2 below 90% compared to propofol. Midazolam plus pethidine plus dexmedetomidine (RR=0.01), propofol plus oxycodone (RR=0.09), and dexmedetomidine plus fentanyl (RR=0.2) exhibited lower rates of adverse events compared to propofol.
Conclusion: This study provides comprehensive evidence to guide clinical decision-making and optimize anesthetic management for ERCP procedures.
DOI: 10.5281/zenodo.6941289
title: Adapting the Harmonized Data Quality Framework for Ontology Quality Assessment

description: Ontologies play an important role in the representation, standardization, and integration of biomedical data, but are known to have data quality (DQ) issues. We aimed to understand if the Harmonized Data Quality Framework (HDQF), developed to standardize electronic health record DQ assessment strategies, could be used to improve ontology quality assessment. A novel set of 14 ontology checks was developed. These DQ checks were aligned to the HDQF and examined by HDQF developers. The ontology checks were evaluated using 11 Open Biomedical Ontology Foundry ontologies. 85.7% of the ontology checks were successfully aligned to at least 1 HDQF category. Accommodating the unmapped DQ checks (n=2), required modifying an original HDQF category and adding a new Data Dependency category. While all of the ontology checks were mapped to an HDQF category, not all HDQF categories were represented by an ontology check presenting opportunities to strategically develop new ontology checks. The HDQF is a valuable resource and this work demonstrates its ability to categorize ontology quality assessment strategies.
DOI: 10.15468/dl.duyhkp
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (DEU.10.41_1, DEU.10.24_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Athene F.Boie, 1822, Athene noctua (Scopoli, 1769))",
 "Year 2014-2024"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021510-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8t3dqm
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nymphoides minima (F.Muell.) Kuntze"
 ]
}

 The dataset includes 296 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021511-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbvy2z
title: Occurrence Download

description: A dataset containing 468 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nymphoides ×montana Aston"
 ]
}

 The dataset includes 468 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021513-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8r7m9
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.6_1, CHN.MAC, CHN.HKG)",
 "TaxonKey is Gallicrex cinerea (Gmelin, 1789)",
 "Year 2014-2024"
 ]
}

 The dataset includes 58 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021512-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5uy4zb
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nymphoides planosperma Aston"
 ]
}

 The dataset includes 30 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021514-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6k6zs3
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (DEU.10.41_1, DEU.10.24_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Riparia riparia (Linnaeus, 1758)",
 "Year 2014-2024"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021515-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.26788084
title: Sin tax and sugar tax impact on the wine industry in South Africa

description: The South African wine industry contributes more than R55 billion to the country’s gross domestic product (GDP) and creates employment for more than 269,000 people across the wine production value chain. The wine industry is influenced by various tax types, which can either help or hinder the growth and sustainability of this industry. This study aimed to analyse the impact of sugar tax and sin tax policies on the wine industry in South Africa, focusing on the wine farmers and the consumers of wine.
A qualitative research approach was employed in this study using a cross-sectional design. The primary data was collected through semi-structured interviews with wine farmers and consumers of wine and similar products, after which a thematic analysis was conducted to identify themes that suitably narrate the primary data that was collected. The researcher also collected secondary data through existing literature, after which an extensive review was performed on sugar tax and sin tax in South Africa.
The research revealed that the imposition of sin tax and sugar tax on the South African wine industry affects production costs to a certain extent. Furthermore, the sin tax and sugar tax and the annual increases thereof have encouraged illicit trade, especially during the COVID-19 pandemic when lockdown restrictions were implemented in South Africa. Insofar as the impact of the aforementioned taxes are concerned with consumption behaviours, research revealed that the implementation of sin tax and sugar tax has resulted in limited to no impact on consumer demand. The researcher discovered that enhanced awareness on the aforementioned taxes is important to ensure that all of the role players in the wine production value chain are well-informed about the objectives and implications of sin tax and sugar tax on the wine industry.
DOI: 10.25403/upresearchdata.26788084.v1
title: Sin tax and sugar tax impact on the wine industry in South Africa

description: The South African wine industry contributes more than R55 billion to the country’s gross domestic product (GDP) and creates employment for more than 269,000 people across the wine production value chain. The wine industry is influenced by various tax types, which can either help or hinder the growth and sustainability of this industry. This study aimed to analyse the impact of sugar tax and sin tax policies on the wine industry in South Africa, focusing on the wine farmers and the consumers of wine.
A qualitative research approach was employed in this study using a cross-sectional design. The primary data was collected through semi-structured interviews with wine farmers and consumers of wine and similar products, after which a thematic analysis was conducted to identify themes that suitably narrate the primary data that was collected. The researcher also collected secondary data through existing literature, after which an extensive review was performed on sugar tax and sin tax in South Africa.
The research revealed that the imposition of sin tax and sugar tax on the South African wine industry affects production costs to a certain extent. Furthermore, the sin tax and sugar tax and the annual increases thereof have encouraged illicit trade, especially during the COVID-19 pandemic when lockdown restrictions were implemented in South Africa. Insofar as the impact of the aforementioned taxes are concerned with consumption behaviours, research revealed that the implementation of sin tax and sugar tax has resulted in limited to no impact on consumer demand. The researcher discovered that enhanced awareness on the aforementioned taxes is important to ensure that all of the role players in the wine production value chain are well-informed about the objectives and implications of sin tax and sugar tax on the wine industry.
DOI: 10.15468/dl.999h6h
title: Occurrence Download

description: A dataset containing 2498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China)",
 "TaxonKey is Pomacea canaliculata (Lamarck, 1822)"
 ]
}

 The dataset includes 2498 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021516-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ysmys
title: Occurrence Download

description: A dataset containing 262250 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aedes vexans (Meigen, 1830)"
 ]
}

 The dataset includes 262250 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021450-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ecbgau
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nymphoides quadriloba Aston"
 ]
}

 The dataset includes 208 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021517-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tmxqj
title: Occurrence Download

description: A dataset containing 124459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes albopictus (Skuse, 1894)"
 ]
}

 The dataset includes 124459 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021447-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.