cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mtb85bm9x6.1
title: Seasonality and latitude as linked environmental factors in Giant Cell Arteritis incidence: A systematic review and meta-analysis

description: Giant Cell Arteritis (GCA) incidence is influenced by various unexplained factors. Over the past 60 years, studies have investigated seasonal influence on GCA incidence, yielding contradictory results. This systematic review and meta-analysis aim to determine whether there is a pooled seasonal influence on GCA incidence and if it is modulated by latitude. PubMed and Scopus databases were searched for studies on seasonal influence on GCA incidence without date restriction. Articles reporting incidence and describing seasonal or monthly proportions of GCA were considered for inclusion. The primary outcome measured was the Seasonal Incidence Risk Ratio (SIRR) defined as the incidence of GCA in warm seasons (Spring and Summer) over GCA incidence in cold seasons (Autumn and Winter). Meta-analysis of GCA incidence variations with season was performed on the pooled SIRR. Nineteen articles describing GCA incidence and seasonal variations in 39829 patients were included, 10 studies reported a significant seasonal pattern in the incidence of GCA with seven studies reporting a warm seasonal pattern and three studies reporting a cold seasonal while 9 studies did not report a significant seasonal pattern. The pooled SIRR estimate in this meta-analysis was 1.08 (95% CI [0.99-1.17]). We observed a significant reverse correlation between SIRR and the studies’ location latitude r= -0.595 (p=0.015), additionally, we observed an inflexion latitude line in Lyon, France (45.8), all studies performed southern to that line reported higher proportion of warm seasons cases. The pooled SIRR of studies performed southern to the inflexion line was 1.18 (95% CI [1.09-1.28]). this meta-analysis shows a global pooled trend towards a warm seasonal pattern, mainly driven by southern locations of the included studies, linking two largely discussed environmental factors in GCA, in this case, latitude and seasonal influence which should encourage epidemiological research in southern regions of the globe in order to display globally representative data.
DOI: 10.15468/dl.e4uejg
title: Occurrence Download

description: A dataset containing 22475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "DatasetKey is one of (EOD – eBird Observation Dataset, National Biodiversity Data Bank. Observation records, 1900-2014, Global Raptor Impact Network (GRIN) data on raptor observations in Kenya for the period 2013-2021)",
 "TaxonKey is Polemaetus bellicosus (Daudin, 1800)"
 ]
}

 The dataset includes 22475 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036507-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b6wxf6sr8b.1
title: Complete set of 79 Association-Rules extracted by FP-Growth using RapidMiner V10.2 (Association Rule & MS-OAP Research)

description: Complete set of 79 Association-Rules extracted by FP-Growth using RapidMiner V10.2 in the research about Association Rule & MS-OAP Research
DOI: 10.17632/vstnx7swt2.1
title: Dataset of 100 Purchase Records from the Manufacturer's Database (Association Rule & MS-OAP Research)

description: This Dataset present an extraction of 100 Purchase Records from the Manufacturer's Database in the research about the use of Association Rule Unsupervised Learning for MS-OAP
DOI: 10.17632/vmf6xnhhzm.1
title: Zer e lab Safiya Akhtar ki ek Sargoshi Jo Goonj Uthu

description: This research paper is based on the letter collection of Safiya Akhtar , which are written by Safiya Akhtar to Jan Nisar Akhtar
DOI: 10.17632/gsffrt9sx2.1
title: Turbulent structures at the bottom of the Gobi desert boundary layer and their impact on aeolian sand transport and dust emission

description: This dataset was designed to examine the behavior of turbulent flow structures over gobi surfaces and the impact of these structures on the sand transport rate and dust emission flux. Synchronous high-frequency measurements of two time series of 3-D wind speed(1Hz), PM10 concentration(1Hz) and saltating particle count rate (1Hz) over a gobi surface (40.04°N, 94.79°E) in two transport events (10:27 to 14:23 on May 12, 2021, and 14:12 to 16:30 on May 21, 2021) have been presented. Wind velocity was measured by a RM Young 81000 Ultrasonic anemometer, situated at the height of 0.4 m above the gobi surface at a time interval of 1 s, recorded by a Campbell CR 1000 datalogger. The profile of saltating grain number was measured by two piezoelectric impact sensors (H11-LIN, Sensit) at heights of 0.01and 0.05 m above the gobi surface with a measurement frequency of 1 Hz, also recorded by a Campbell CR 1000 datalogger. The PM10 concentration was measured using the U.S. handheld 3016 laser particle counter at heights of 0.05and 0.3 m above the gobi surface. The particle size monitoring range was 0.3~25μm, and the data collecting interval was set to 1s. Aeolian saltation flux profiles over gobi were measured by a sand traps deployed at heights of 0-0.025 m and 0.025-0.05m. Sand transport rate at 1 Hz can be obtained based on high-frequency time series of Sensit particle counts and low-frequency flux measurements of sand traps.
DOI: 10.17632/hgp8htm3k5.1
title: Weather impact on pig carcass condemnation - Silva et al

description: Dataset of Conditions of condemnation carcass - Article: Weather impact on pig carcass condemnation 
Authors: FR Caldara, IA Nääs, DD Salgado, AM Odakura, FC Serpa, CC Ouros
DOI: 10.17632/sfww9zgvmp.1
title: research data for article "C1QC controls metabolic reprogramming and immunosuppression of tumor-associated macrophages in gastric cancer"

description: Original data and images from the research paper "C1QC controls metabolic reprogramming and immunosuppression of tumor-associated macrophages in gastric cancer".
DOI: 10.17632/j8bw86mc5h.1
title: A gut microbiota-associated hepatic c-kit+ type 1 classical dendritic cell subset: a pivotal contributor to the pathogenesis of metabolic dysfunction-associated steatohepatitis (MASH)

description: The fecal microbiome data of "A gut microbiota-associated hepatic c-kit+ type 1 classical dendritic cell subset: a pivotal contributor to the pathogenesis of metabolic dysfunction-associated steatohepatitis (MASH)" Nature Communication (2024).
DOI: 10.17632/82d5g6ks98.1
title: Dataset - Mental skills of coaches

description: The dataset consists of the results from the study on esports and conventional sports coaches mental skills, mental techniques, as well as quality of the relationship between coach and athlete
DOI: 10.15468/dl.sduur7
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Specimen, Material citation, Material sample, Occurrence evidence, Living Specimen)",
 "Country is Spain",
 "Geometry POLYGON((-3.79533 40.25913,-3.79533 40.22249,-3.76486 40.22501,-3.75631 40.25954,-3.79533 40.25913))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 131 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036509-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/eszyzd
title: PlvitX1_02_05_24.recode.vcf.gz

description: :unav
DOI: 10.57745/4boydq
title: PlvitX2_02_05_24.recode.vcf.gz

description: :unav
DOI: 10.57745/4zykdh
title: PlvitLinkageMaps_23_06_24.tab

description: Plvit Linkage Maps
DOI: 10.57745/mcdtwa
title: Plvit_seq_Allegro_probes_with_IDs.fasta

description: Allegro probes sequences
DOI: 10.17632/pwvb3zrf8f.1
title: Primers used for validation of NGS sequences from pooled pumpkin leaf samples

description: The primers used for RT-PCR validation of NGS sequences assembled using the Genome detective virus tool
DOI: 10.17632/2xzwppwxrw.2
title: Double-Double Laminate Finder

description: The Double-Double Laminate Finder is a computer tool developed based on Classical Lamination Theory (CLT) to find Double-Double (DD) composite layups that are equivalent in in-plane stiffness [A] or flexural stiffness [D] to conventional quadriaxial (QUAD) layups. This tool can also be used to evaluate material homogenization conditions, determine the optimal DD stacking sequence for homogenization, and indicate the QUAD and DD layups in the in-plane and flexural design range plots.

The code is written in Python and runs on computers using the Windows operating system.

Link to GitHub repository of this tool: 
https://github.com/Lich-NRC/DoubleDoubleCompDesign
DOI: 10.17632/b8chnr3nx3.1
title: Recombination analysis results

description: The recombination analysis of the RT-PCR partial coat protein gene against all the MWMV genome isolates in GenBank revealed that one sequence isolate is a recombinant.
DOI: 10.6084/m9.figshare.27143334
title: Code and Data

description: Data and code for my manuscript entitled "Study on the positive temperature anomalies in East Antarctica during the winter of 2018". Data is the processed data at ZS station from 1989 to 2023 used in Figure 1, and includes both AWS data and ERA5 reanalysis. The uploaded code encompasses the scripts necessary for generating all figures.
DOI: 10.15468/dl.2y6sat
title: Occurrence Download

description: A dataset containing 1880 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oryctes rhinoceros (Linnaeus, 1758)"
 ]
}

 The dataset includes 1880 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036510-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/r48x4bmx7g.1
title: Data on tuning phase crystal of boron-doped manganese oxide and activation in removal of formaldehyde

description: The data contain:
1. Elemental composition achieved from the ICP-MS analysis.
2. XRD patterns of three samples.
3. SEM images and size distribution of synthesized samples.
4. Formaldehyde conversion over cryptomelane boron-modified via hydrothermal method at 100 degree C .
DOI: 10.17632/r48x4bmx7g.2
title: Data on tuning phase crystal of boron-doped manganese oxide and activation in removal of formaldehyde

description: The data contain:
1. Elemental composition achieved from the ICP-MS analysis.
2. XRD patterns of three samples.
3. SEM images and size distribution of synthesized samples.
4. Formaldehyde conversion over cryptomelane boron-modified via hydrothermal method at 100 degree C .
DOI: 10.6084/m9.figshare.27143415
title: Data used in "Individually Addressed Entangling Gates in a Two-Dimensional Ion Crystal"

description: Data of 5 figures in the main text and supplementary information for Nature Communications manuscript "Individually Addressed Entangling Gates in a Two-Dimensional Ion Crystal"
DOI: 10.6084/m9.figshare.27143415.v1
title: Data used in "Individually Addressed Entangling Gates in a Two-Dimensional Ion Crystal"

description: Data of 5 figures in the main text and supplementary information for Nature Communications manuscript "Individually Addressed Entangling Gates in a Two-Dimensional Ion Crystal"
DOI: 10.17632/ndr4sky2m6.1
title: Democracy-CSR calibrated dataset

description: Calibrated dataset created for set-theoretic analysis of the relations between Democracy, Rule of Law, Internationalisation, Corporate Governance, and GNIpc in producing the outcome of CSR adoption.
DOI: 10.17632/84kcny5mc7.1
title: Raw data of Platelets promote metastasis of intrahepatic cholangiocarcinoma through activation of TGF-β/Smad2 pathway

description: Raw data of Platelets promote metastasis of intrahepatic cholangiocarcinoma through activation of TGF-β/Smad2 pathway, containing Full WB, original images, and raw data collected, to facilitate review and reading.
DOI: 10.15468/dl.tzmpke
title: Occurrence Download

description: A dataset containing 1754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudochorthippus curtipennis (Harris, 1835)",
 "HasCoordinate is true",
 "MediaType is one of (Image)"
 ]
}

 The dataset includes 1754 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036511-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27143277
title: <b>PRISMA-P checklist for Effect of immediate dentin sealing on the fracture strength of indirect posterior restorations: Systematic review and meta-analysis Protocol.</b>

description: Background:Immediate Dentin Sealing (IDS) is a technique that applies an adhesive layer immediately after tooth preparation, prior to the placement of indirect restorations. This method is gaining attention due to its potential to improve the bond strength and mechanical properties of restorations, particularly in the posterior region where restorations endure significant masticatory forces. The objectifaim of this systematic review and meta-analysis is to evaluate the effect of IDS on the fracture strength of indirect posterior restorations. Methods:Following PRISMA guidelines, a comprehensive literature search was conducted in four databases: Web of Science, Scopus, Cochrane Library, and PubMed. Inclusion criteria focused on in vitro studies involving human teeth with indirect posterior restorations, published between 2014 and 2023. Studies using IDS were compared to those using conventional methods. The risk of bias was assessed using the Cochrane Collaboration’s tool, and a meta-analysis was performed with a random-effects model. The standard mean difference and 95% confidence intervals were The Cochrane Collaboration’s tool was used to assess the risk of bias, and meta-analysis was performed using a random-effects model. The standard mean difference (SMD) and 95% confidence intervals were calculated to compare fracture strength, with I² statistics assessing heterogeneity. Forest and funnel plots were employed to visualize results and publication bias, respectively.Discussion:The results indicate that IDS generally enhances the fracture strength of indirect posterior restorations, particularly with ceramic materials like lithium disilicate. However, the effectiveness of IDS varies depending on the material and restoration type. While some studies demonstrated improved fracture resistance with IDS, others showed minimal benefit, especially with composite restorations. Additionally, IDS improved marginal adaptation and internal fit but increased the risk of severe failures, such as root fractures. Systematic review registrationPROSPERO: CRD42024584545 (Registered on 08/09/2024).<br>
DOI: 10.5281/zenodo.13847671
title: eCAPE energy crisis interviews

description: This dataset contains transcripts from 30 semi-structured qualitative interviews, conducted as part of a sub-project to the research project eCAPE (New Energy Consumer Roles and Technologies – Actors, Practices and Equality), running from 2018-2024. eCAPE is financed by the European Research Council (ERC) under the European Union´s Horizon 2020 research and innovation program (grant agreement number 786643). The project is led by Professor Kirsten Gram-Hanssen from Department of the Built Environment, Aalborg University.

This sub-project examined how Danish households handled the energy crisis and what changes in their heating and other energy practices the crisis led to. The interviews were conducted in 2022-23 and different types of households were interviewed about their everyday life during the crisis. The interviews were conducted by Kirsten Gram-Hanssen, Line Valdorff Madsen and Line Kryger Aagaard from Department of the Built Environment, Aalborg University. Interviews were transcribed by student assistants. The interviews were coded and analysed in Nvivo by Kirsten Gram-Hanssen, Line Valdorff Madsen and Rikke Skovgaard Nielsen. The recruitment process and interview method are further described in the related peer-reviewed publications.

All names are removed in transcripts and participants’ age, occupation and other personal data have in some cases been altered and in some cases paragraphs have been removed, all to ensure anonymity. Alterations are marked with brackets, where anoymised words or sections are indicated with [anonymised].

Participants received written and oral information on the research purpose and handling of their personal data and gave their written or oral consent to participate. The interviews were conducted in the participants’ homes, except for two telephone interviews and one interview conducted in a language school which the participant attended. Photos were taken during the interviews with participants’ consent, but these photos are not published in the dataset due to the protection of the anonymity of participants. Apart from the interview transcripts this dataset contains the interview guide (Danish and English version).
DOI: 10.5281/zenodo.13847672
title: eCAPE energy crisis interviews

description: This dataset contains transcripts from 30 semi-structured qualitative interviews, conducted as part of a sub-project to the research project eCAPE (New Energy Consumer Roles and Technologies – Actors, Practices and Equality), running from 2018-2024. eCAPE is financed by the European Research Council (ERC) under the European Union´s Horizon 2020 research and innovation program (grant agreement number 786643). The project is led by Professor Kirsten Gram-Hanssen from Department of the Built Environment, Aalborg University.

This sub-project examined how Danish households handled the energy crisis and what changes in their heating and other energy practices the crisis led to. The interviews were conducted in 2022-23 and different types of households were interviewed about their everyday life during the crisis. The interviews were conducted by Kirsten Gram-Hanssen, Line Valdorff Madsen and Line Kryger Aagaard from Department of the Built Environment, Aalborg University. Interviews were transcribed by student assistants. The interviews were coded and analysed in Nvivo by Kirsten Gram-Hanssen, Line Valdorff Madsen and Rikke Skovgaard Nielsen. The recruitment process and interview method are further described in the related peer-reviewed publications.

All names are removed in transcripts and participants’ age, occupation and other personal data have in some cases been altered and in some cases paragraphs have been removed, all to ensure anonymity. Alterations are marked with brackets, where anoymised words or sections are indicated with [anonymised].

Participants received written and oral information on the research purpose and handling of their personal data and gave their written or oral consent to participate. The interviews were conducted in the participants’ homes, except for two telephone interviews and one interview conducted in a language school which the participant attended. Photos were taken during the interviews with participants’ consent, but these photos are not published in the dataset due to the protection of the anonymity of participants. Apart from the interview transcripts this dataset contains the interview guide (Danish and English version).
DOI: 10.17632/7gskp92yx6.1
title: Congo Basin land cover layers and spatial predictors

description: The data presented here constitutes Land use and land cover datasets (LULC) generated for the years 1990-2020, as well as spatial predictor layers used in future projections, under three climate change scenarios. Google Earth Engine codes used in producing the LULC data are attached as a txt file named GEE_codes_YGY. The LULC datasets have been downscaled to a 1km spatial resolution as a means of reducing file size, and staying within the 10GB limits provided by the Mendeley repository. Population density datasets have also been created at a 1km spatial resolution in order to reduce data size. Climatic datasets have been created at a 30km spatial resolution to respond to similar disk space storage problems, while datasets on landscape topography, forest logging, and distance to built-up areas have been created at a 10km spatial resolution respectively. However, 30m resolution datasets for all spatial layers are available upon request, due to storage limits. 
The LULC datasets have been used in mapping and quantifying LULCC for the Congo Basin for the periods 1990-2020, with the generated detected changes projected to the year 2050, under the influence of the uploaded spatial predictor layers, using the Idrissi Land change modeler from TerrSet.
DOI: 10.17632/7gskp92yx6.2
title: Congo Basin land cover layers and spatial predictors

description: The data presented here constitutes Land use and land cover datasets (LULC) generated for the years 1990-2020, as well as spatial predictor layers used in future projections, under three climate change scenarios. Google Earth Engine codes used in producing the LULC data are attached as a txt file named GEE_codes_YGY. The LULC datasets have been downscaled to a 1km spatial resolution as a means of reducing file size, and staying within the 10GB limits provided by the Mendeley repository. Population density datasets have also been created at a 1km spatial resolution in order to reduce data size. Climatic datasets have been created at a 30km spatial resolution to respond to similar disk space storage problems, while datasets on landscape topography, forest logging, and distance to built-up areas have been created at a 10km spatial resolution respectively. However, 30m resolution datasets for all spatial layers are available upon request, due to storage limits. 
The LULC datasets have been used in mapping and quantifying LULCC for the Congo Basin for the periods 1990-2020, with the generated detected changes projected to the year 2050, under the influence of the uploaded spatial predictor layers, using the Idrissi Land change modeler from TerrSet.
DOI: 10.5281/zenodo.6816127
title: Characterizing Measures for the Assessment of Cluster Analysis and Community Detection

description: Description. The dataset is constituted of:



`figs.zip`: an archive containing the plot files;

`data&results.zip`: an archive containing the necessary data to perform our analysis, as well as result files.


These are the resources used in the following articles:



N. Arınık, V. Labatut and R. Figueiredo, "Characterizing measures for the assessment of cluster analysis and community detection", Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques (MARAMI), 2020. ⟨hal-02993542⟩

N. Arınık, R. Figueiredo, and V. Labatut, “Characterizing and comparing external measures for the assessment of cluster analysis and community detection,” IEEE Access 9:20255–20276, 2021. DOI: 10.1109/access.2021.3054621 ⟨hal-03124118⟩


Source code. The associated source code is available on GitHub: https://github.com/CompNet/ExtMeasEval

Citation. If you use these data, please cite the paper [2].

@Article{Arinik2021,  author    = {Arınık, Nejat and Figueiredo, Rosa and Labatut, Vincent},  title     = {Characterizing and Comparing External Measures for the Assessment of Cluster Analysis and Community Detection},  journal   = {IEEE Access},  year      = {2021},  volume    = {9},  pages     = {20255-20276},  doi       = {10.1109/access.2021.3054621},}