cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-x3p-camy
title: Dataset_Drought_HSDS_Dev_Zut_Moerman_2022

description: This dataset contains the results of a recent survey of historical drought years for the Dutch cities of Deventer and Zutphen between 1500 and 1795. It is the first long-term historical survey of drought years for these cities during the early modern period, and is part of the project: Coping with drought. An environmental history of drinking water and climate adaptation (NWO 406.18.HW.015). The primary aim of this project and the dataset is to provide insights into the severity of droughts in the early modern eastern Netherlands based on their impact. The drought years are ranked for both cities according to the Historical Severity Drought Scale (HSDS), developed by Garnier (2014) with values from -1 (ninsufficient qualitative and quantitative information but the event is kept in the chronological reconstruction), 1 (absence of rainfall: rogations, evidences in texts), 2 (local low-water in rivers, first effects on vegetation), 3 (general low-water (difficulties for navigation) and water reserves), 4 (severe low-water mark: navigation impossible, lay-off of wheatmills, search for new springs, forest fires, death of cattle), 5 (exceptional drought: no possible supply, shortage, sanitary problems, very high prices of wheat, forest fires).
DOI: 10.17632/758t7h48m7.1
title: Data for: Hierarchical Complexity of the Adult Human Structural Connectome

description: The zip file contains MATLAB algorithms and variables used in our article entitled 'Hierarchical Complexity of the Adult Human Structural Connectome'. For any queries, email: k.smith@ed.ac.uk
DOI: 10.25548/16-wm8c
title: Androgen-independent luminal epithelia of the proximal prostatic ducts are extensions of urethra in the mouse and human

description: Images and sequencing data relating to the in preparation publication: 'Urethral hillock epithelia are the proximal androgen-independent luminal cells of the human and mouse prostate'
DOI: 10.4121/17c8452a-a937-46a5-9693-f8212655779f.v1
title: Campus of the Future Project FAIR Datasets

description: The Campus of the Future project proposes to develop evidence-based decision-making strategies to match supply and demand for the future campus. The two datasets presented in this folder are the outputs of the Campus of the Future project and they provide decision-makers and researchers with the most relevant and up-to-date campus management data: (1) University building data from Archdaily; (2) Corona-related campus news from Flipboard. These FAIR datasets also encourage campus decision-makers to provide open data on campus buildings in the future years, which will support decision-makers of individual universities with management information in making the right decisions for their future campus. Please check the “README [.txt]” and “campus.of.the.future.project.FAIR.datasets_codebook [.pdf]” files for more information.
DOI: 10.5281/zenodo.3635510
title: Occurrence cubes for non-native taxa in Belgium and Europe

description: <strong>Description</strong> This package contains aggregated occurrence data ("occurrence cubes") for non-native taxa in Belgium and Europe. These occurrence cubes were generated by grouping species occurrence data from the Global Biodiversity Information Facility (GBIF) by year (<code>year</code>), 1x1km spatial EEA reference grid cell (<code>eea_cell_code</code>) and taxon (<code>taxonKey</code> or <code>classKey</code>). For each grouping, the number of occurrences found in GBIF (<code>n</code>) and the minimum coordinateUncertaintyInMeters (<code>min_coord_uncertainty</code>) are provided. The provided coordinateUncertaintyInMeters of an occurrence is taken into account when assigning it to a grid cell (see this code). The occurrence cubes are used as input data for indicators and risk modelling/mapping for the Tracking Invasive Alien Species (TrIAS) project. The occurrence cubes are built on open science principles and intended to be completely reproducible: The input data are publicly available on GBIF, with the download DOIs listed in the related identifiers of this package. The code to process the data to cubes is publicly available on GitHub at https://github.com/trias-project/occ-cube-alien (version 20200204). <strong>Files</strong> <strong>be_alientaxa_cube.csv</strong>: occurrence cube of alien taxa listed by the Global Register of Introduced and Invasive Species - Belgium (Desmet et al. 2019) and limited to occurrences in Belgium (<code>country=BE</code>). <strong>be_alientaxa_info.csv</strong>: taxonomic information for taxa in <code>be_alientaxa_cube.csv</code>. <strong>be_classes_cube.csv</strong>: occurrence cube of all classes found in Belgium (<code>country=BE</code>), used to assess sampling effort bias in <code>be_alientaxa_cube.csv</code>. <strong>eu_modellingtaxa_cube.csv</strong>: occurrence cube of selected modelling species in Europe (bounding box). <strong>eu_modellingtaxa_info.csv</strong>: taxonomic information for taxa in <code>eu_modellingtaxa_cube.csv</code>.
description: This work has been funded under the Belgian Science Policies Brain program (BelSPO BR/165/A1/TrIAS).
description: {"references": ["Desmet P, Reyserhove L, Oldoni D, Groom Q, Adriaens T, Vanderhoeven S, Pagad S (2019). Global Register of Introduced and Invasive Species - Belgium. Invasive Species Specialist Group ISSG. Checklist dataset https://doi.org/10.15468/xoidmd"]}
DOI: 10.5281/zenodo.3637911
title: Occurrence cubes at species level for European countries

description: This package contains aggregated occurrence data ("occurrence cubes") at species level for European countries. These occurrence cubes were generated by grouping species occurrence data from the Global Biodiversity Information Facility (GBIF) by year (<code>year</code>), 1x1km spatial EEA reference grid cell (<code>eea_cell_code</code>) and species (<code>speciesKey</code>). For each grouping, the number of occurrences found in GBIF (<code>n</code>) and the minimum coordinateUncertaintyInMeters (<code>min_coord_uncertainty</code>) are provided. The provided coordinateUncertaintyInMeters of an occurrence is taken into account when assigning it to a grid cell (see this code). The occurrence cubes can be used as input data for indicators, mapping and species distribution modelling. The occurrence cubes are built on open science principles and intended to be completely reproducible: The input data are publicly available on GBIF, with the download DOIs listed in the related identifiers of this package. The code to process the data to cubes is publicly available on GitHub at https://github.com/trias-project/occ-cube (version 20200205). <strong>Files</strong> <strong>Occurrence cubes at species level per country</strong>: filename format <code>countrycode_species_cube.csv</code>. <strong>Taxonomic information for species in a cube</strong>: filename format <code>countrycode_species_info.csv</code>. <strong>Included countries</strong> <strong>Belgium</strong> (BE): based on https://doi.org/10.15468/dl.apwtzv <strong>Italy</strong> (IT): based on https://doi.org/10.15468/dl.oztfun Occurrence cubes are added on demand. To include occurrence cubes for other European countries, leave an issue or contact the main author, or generate your own cube using the code in this repository.
description: This work has been funded under the Belgian Science Policies Brain program (BelSPO BR/165/A1/TrIAS).
DOI: 10.5281/zenodo.7849873
title: Travelling or jiggling: dataset

description: This repository provides trajectory data needed to necessary to reproduce the findings of the manuscript "Travelling or jiggling: particle motion modes and their relative contribution to bed-load variables" submitted to the Journal of Geophysical Research - Earth Surface. 

We include 3 matlab files:



RUN_1: experiment at u*/u*c=1.11

RUN_1: experiment at u*/u*c=1.22

RUN_1: experiment at u*/u*c=1.30


In each file, the following variables are included (-1 values separate different trajectories):



data.t: time 

data.x: streamwise position

data.y: transversal position

data.d: particle diameter 

data.frame_rate: frame rate
DOI: 10.6084/m9.figshare.25116602
title: Supplementary Material for: Sex and Socioeconomic Disparities in Dementia Risk: A Population Attributable Fractions Analysis in Argentina

description: INTRODUCTION, twelve modifiable risk factors (RF) account for 40% of dementia cases worldwide. However, limited data exists on such factors in middle- and low-income countries. We aimed to estimate the population-attributable fractions (PAFs) for the 12 RF in Argentina, assessing changes over a decade, and exploring socioeconomic and sex influences.
METHODS, we conducted cross-sectional analyses of the 12 RF from Argentinian surveys conducted in 2009, 2015, and 2018, including 96,321 people. We calculated PAFs, and stratified estimates based on sex and income. 
RESULTS, we estimated an overall PAF of 59.6%(95%CI=58.9%-60.3%). The largest PAFs were hypertension=9.3%(8.7%-9.9%), physical inactivity=7.4%(6.8%-8.2%), and obesity=7.4%(6.8%-7.9%). Men were more impacted by excessive alcohol, while women by isolation and smoking. Lower income linked to higher PAFs in education, hypertension, and obesity.
DISCUSSION, Argentina has a higher PAF for dementia than the world population, with distinct RF distribution. PAF varied by sex and economic status, advocating tailored prevention strategies.
DOI: 10.6084/m9.figshare.5936881
title: Data set for Auto-focusing

description: domain data part 1 &2 and channel data for "Multi-domain deep learning for single-frame rapid autofocusing in whole slide imaging".<br><br>Please note: The training data have a 4-pixel to 1-pixel binning pre-processing (pixel size is doubled). For testing data, please do binning first.
DOI: 10.7946/p2v888
title: Genomes To Fields 2014
DOI: 10.15468/dl.9tjkyc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Archisepsis diversiformis (Ozerov, 1993)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088473-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzecrs
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Episyron gallicum",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088474-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbm3an
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pristimantis phragmipleuron (Rivero & Serna, 1988))",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088475-240626123714530/datasets/export for details.
DOI: 10.15468/dl.q92yfz
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Archisepsis armata (Schiner, 1868)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 58 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088476-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyfyy9
title: Occurrence Download

description: A dataset containing 6324 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Auplopus carbonarius (Scopoli, 1763)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 6324 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088477-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8f3vb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eleutherodactylus poolei Cochran, 1938)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088478-240626123714530/datasets/export for details.
DOI: 10.15468/dl.gdazgz
title: Occurrence Download

description: A dataset containing 2309 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Agriotes sputator (Linnaeus, 1758)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2309 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088479-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7srev7
title: Occurrence Download

description: A dataset containing 3356852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((38.000 85.000, -27.000 85.000, -27.000 56.000, 38.000 56.000, 38.000 85.000))",
 "Year 1960-1969"
 ]
}

 The dataset includes 3356852 records from 838 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088444-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn92kt
title: Occurrence Download

description: A dataset containing 1884245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((38.000 85.000, -27.000 85.000, -27.000 56.000, 38.000 56.000, 38.000 85.000))",
 "Year 1950-1959"
 ]
}

 The dataset includes 1884245 records from 720 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088445-240626123714530/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.5125444
title: Supplementary Material for: Mutations in the VEGFR3 Signaling Pathway Explain 36% of Familial Lymphedema

description: Lymphedema is caused by dysfunction of lymphatic vessels, leading to disabling swelling that occurs mostly on the extremities. Lymphedema can be either primary (congenital) or secondary (acquired). Familial primary lymphedema commonly segregates in an autosomal dominant or recessive manner. It can also occur in combination with other clinical features. Nine mutated genes have been identified in different isolated or syndromic forms of lymphedema. However, the prevalence of primary lymphedema that can be explained by these genetic alterations is unknown. In this study, we investigated 7 of these putative genes. We screened 78 index patients from families with inherited lymphedema for mutations in <i>FLT4, GJC2, FOXC2, SOX18, GATA2, CCBE1</i>, and <i>PTPN14</i>. Altogether, we discovered 28 mutations explaining 36% of the cases. Additionally, 149 patients with sporadic primary lymphedema were screened for <i>FLT4, FOXC2, SOX18,</i><i>CCBE1</i>, and <i>PTPN14</i>. Twelve mutations were found that explain 8% of the cases. Still unidentified is the genetic cause of primary lymphedema in 64% of patients with a family history and 92% of sporadic cases. Identification of those genes is important for understanding of etiopathogenesis, stratification of treatments and generation of disease models. Interestingly, most of the proteins that are encoded by the genes mutated in primary lymphedema seem to act in a single functional pathway involving VEGFR3 signaling. This underscores the important role this pathway plays in lymphatic development and function and suggests that the unknown genes also have a role.
DOI: 10.6084/m9.figshare.5125450
title: Supplementary Material for: Numerical Modelling of Tooth Enamel Subsurface Lesion Formation Induced by Dental Plaque

description: Using a one-dimensional mathematical model that couples tooth demineralisation and remineralisation with metabolic processes occurring in the dental plaque, two mechanisms for subsurface lesion formation were evaluated. It was found that a subsurface lesion can develop only as the result of alternating periods of demineralisation (acid attack during sugar consumption) and remineralisation (resting period) in tooth enamel with uniform mineral composition. It was also shown that a minimum plaque thickness that can induce an enamel lesion exists. The subsurface lesion formation can also be explained by assuming the existence of a fluoride-containing layer at the tooth surface that decreases enamel solubility. A nearly constant thickness of the surface layer was obtained with both proposed mechanisms. Sensitivity analysis showed that surface layer formation is strongly dependent on the length of remineralisation and demineralisation cycles. The restoration period is very important and the numerical simulations support the observation that often consumption of sugars is a key factor in caries formation. The calculated profiles of mineral content in enamel are similar to those observed experimentally. Most probably, both studied mechanisms interact in vivo in the process of caries development, but the simplest explanation for subsurface lesion formation remains the alternation between demineralisation and remineralisation cycles without any pre-imposed gradients.
DOI: 10.6084/m9.figshare.5125456
title: Supplementary Material for: Preoperative Protective Stenting of the Internal Carotid Artery in the Management of Complex Head and Neck Paragangliomas: Long-Term Results

description: <b><i>Objectives:</i></b> To investigate the long-term results of preoperative stenting of the internal carotid artery (ICA) in complex head and neck paragangliomas (HNP) as well as to report on indications and technical details of the procedure. <b><i>Method:</i></b> A comprehensive retrospective review of patients affected by HNP, consecutively operated on and preoperatively treated with stenting of the ICA in a quaternary referral skull base center, was performed. <b><i>Results:</i></b> Nineteen patients affected by complex HNP were identified, on whom 21 preoperative stenting procedures were performed. The mean follow-up period after stent insertion was 53.8 months; the patients' age ranged from 33 to 56 years. Fourteen patients were affected by tympanojugular paragangliomas, 4 by vagal paragangliomas and 1 by bilateral carotid body tumors. Five patients presented with recurrent tumors, while 7 presented with multiple or bilateral HNP. There were no complications associated with endovascular procedures. Total tumor removal was accomplished in 52.4% of the cases with 1 recurrence. An advanced stage was the main factor conditioning total removal. Clinical control was obtained in 80% of the patients with residual disease. Total tumor removal from and around the ICA was obtained in 95.2% of the cases. Long-term stent patency was evident in 20 of 21 cases. <b><i>Conclusions:</i></b> Preoperative stenting of the ICA represents a safe and effective procedure in selected cases, obviating the need for balloon occlusion or bypass procedures and reducing the risk of intraoperative vascular injury.
DOI: 10.6084/m9.figshare.5125444.v1
title: Supplementary Material for: Mutations in the VEGFR3 Signaling Pathway Explain 36% of Familial Lymphedema

description: Lymphedema is caused by dysfunction of lymphatic vessels, leading to disabling swelling that occurs mostly on the extremities. Lymphedema can be either primary (congenital) or secondary (acquired). Familial primary lymphedema commonly segregates in an autosomal dominant or recessive manner. It can also occur in combination with other clinical features. Nine mutated genes have been identified in different isolated or syndromic forms of lymphedema. However, the prevalence of primary lymphedema that can be explained by these genetic alterations is unknown. In this study, we investigated 7 of these putative genes. We screened 78 index patients from families with inherited lymphedema for mutations in <i>FLT4, GJC2, FOXC2, SOX18, GATA2, CCBE1</i>, and <i>PTPN14</i>. Altogether, we discovered 28 mutations explaining 36% of the cases. Additionally, 149 patients with sporadic primary lymphedema were screened for <i>FLT4, FOXC2, SOX18,</i><i>CCBE1</i>, and <i>PTPN14</i>. Twelve mutations were found that explain 8% of the cases. Still unidentified is the genetic cause of primary lymphedema in 64% of patients with a family history and 92% of sporadic cases. Identification of those genes is important for understanding of etiopathogenesis, stratification of treatments and generation of disease models. Interestingly, most of the proteins that are encoded by the genes mutated in primary lymphedema seem to act in a single functional pathway involving VEGFR3 signaling. This underscores the important role this pathway plays in lymphatic development and function and suggests that the unknown genes also have a role.