cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34894/mdk32b
title: Surgical or Medical treatment of Endometrioma (SOMA trial)

description: The SOMA-trial (Surgery or Medication for women with endometrioMA) was designed as a multicentre, open-label, randomized controlled trial (RCT) along with a prospective cohort. Patients who were willing to participate in the clinical trial but declined randomization were treated according to their preference and participated in the prospective cohort, which followed the same study protocol. This study was carried out in 28 university- and teaching hospitals in the Netherlands and patients were recruited from May 2019 till May 2023. The RCT stopped in June 2021 before the target sample size was reached, mostly because of a strong patient preference for one of the treatment options. Recruitment continued in the prospective cohort. Patients were eligible if they had an ovarian endometrioma with a cyst diameter ≥3 cm (measured by transvaginal ultrasound or MRI). Furthermore, they had to be premenopausal, aged ≥18 years and they had to report at least one of the endometriosis related pain symptoms: dysmenorrhea, pelvic pain or dyspareunia. Patients were excluded if there were signs of deep infiltrating endometriosis (i.e. endometriosis that extends beneath the peritoneum and may affect the uterosacral ligaments, pelvic sidewalls, rectovaginal septum, vagina, bowel, bladder or ureter2) by physical examination and transvaginal ultrasound or MRI), were not able to read, write and understand Dutch or English, and were not able or willing to provide written informed consent. Patients who were assigned or had chosen surgery, received surgical treatment by a gynaecologist according to the technical description and recommendations by the Working Group of the ESHRE, ESGE and WES. Surgical treatment could include: cystectomy, cyst drainage, laser ablation, plasma energy ablation, coagulation, (salpingo)oophorectomy. Unexpected findings during surgery, as well as the performance of adhesiolysis and/or removal of peritoneal tissue or incidental deep infiltrating endometriosis, were also systematically recorded. Treatment with medication could include analgesics and/or hormonal therapy.
description: SOMA_participant_data_spss_2025_08_28-13_04_00
description: SOMA_tm6maanden_werkbestanden
description: spss, 29
description: Files are being made available here
DOI: 10.3886/e237522v1
title: Morocco USAID Education Data

description: One USAID-funded Moroccan project is included in this folder. Morocco's Reading for Success Small Scale Experimentation (RFS-SSE) covers research conducted from 2015 to 2017. Across the project, the folder contains the following files and their corresponding numbers: codebooks (10), consent forms (5), data (14), instruments (3), and reports (5).
DOI: 10.3886/e237522
title: Morocco USAID Education Data

description: One USAID-funded Moroccan project is included in this folder. Morocco's Reading for Success Small Scale Experimentation (RFS-SSE) covers research conducted from 2015 to 2017. Across the project, the folder contains the following files and their corresponding numbers: codebooks (10), consent forms (5), data (14), instruments (3), and reports (5).
DOI: 10.3886/e237522v2
title: Morocco USAID Education Data

description: One USAID-funded Moroccan project is included in this folder. Morocco's Reading for Success Small Scale Experimentation (RFS-SSE) covers research conducted from 2015 to 2017. Across the project, the folder contains the following files and their corresponding numbers: codebooks (10), consent forms (5), data (14), instruments (3), and reports (5).
DOI: 10.7910/dvn/bxdxuf
title: Replication Data for: "ARIMA PARAMETER ESTIMATION METHODS: A COMPARATIVE ANALYSIS OF FORECAST ACCURACY AND COMPUTATIONAL EFFICIENCY"

description: File contains time series generator, generator config and M4 competition IDs
DOI: 10.5519/qd.gp67784q
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.16960890
title: Data GIZ in maternity care: Needs assessment, Process and Effect evauation

description: This object contains data from the Zonmw study, led by TNO, GIZ method for parents-to-be: a shared decision-making method for the assessment of care needs in the first 1000 days.

 

Data are collected in a needs assessment and a process and effect evaluation.
DOI: 10.5281/zenodo.16960891
title: Data GIZ in maternity care: Needs assessment, Process and Effect evauation

description: This object contains data from the Zonmw study, led by TNO, GIZ method for parents-to-be: a shared decision-making method for the assessment of care needs in the first 1000 days.

 

Data are collected in a needs assessment and a process and effect evaluation.
DOI: 10.6084/m9.figshare.30010120
title: Supplementary Material for: Trends and potential risk factors of lower extremity peripheral arterial disease: results from the Global Burden of Disease Study 2021

description: Background: Lower extremity peripheral arterial disease (LEPAD), causing reduced limb blood flow and significant morbidity, is a major global health concern. Understanding its burden and attributable risk factors is crucial for public health planning.
Aim: To quantify the global, regional, and national burden of LEPAD and disability-adjusted life-years (DALYs) lost attributable to key risk factors from 1990 to 2021.
Design & Methods: This analysis utilized data from the Global Burden of Disease Study 2021. It employed multi-source data and advanced statistical modeling to estimate LEPAD prevalence, incidence, mortality, DALYs, and risk factor attribution across 204 countries and territories.
Results: In 2021, there were 113.7 million LEPAD survivors and 10.0 million new cases globally, with females comprising 67.0% of prevalent cases. LEPAD caused 67,000 deaths and 1.5 million DALYs. Six key risk factors accounted for most attributable DALYs: high fasting plasma glucose (36.06%), kidney dysfunction (28.64%), smoking (25.04%), hypertension (21.72%), lead exposure (15.05%), and high body-mass index (BMI, 8.75%). Low- and middle-income countries bore a disproportionate burden (68.8% of incident cases, 60.9% of DALYs). While global incidence and mortality modestly declined since 1990, increases occurred in lower-middle and low Socio-Demographic Index regions. 
Conclusions: LEPAD imposes a substantial global burden, disproportionately affecting females and populations in low-resource settings. Modifiable metabolic (glucose, kidney function, BMI, hypertension) and behavioral (smoking) risks dominate. Targeted interventions, especially in high-burden regions experiencing increasing trends, are urgently needed to mitigate LEPAD-related morbidity and mortality. Future research should focus on effective interventions and healthcare access barriers.
DOI: 10.6084/m9.figshare.30010120.v1
title: Supplementary Material for: Trends and potential risk factors of lower extremity peripheral arterial disease: results from the Global Burden of Disease Study 2021

description: Background: Lower extremity peripheral arterial disease (LEPAD), causing reduced limb blood flow and significant morbidity, is a major global health concern. Understanding its burden and attributable risk factors is crucial for public health planning.
Aim: To quantify the global, regional, and national burden of LEPAD and disability-adjusted life-years (DALYs) lost attributable to key risk factors from 1990 to 2021.
Design & Methods: This analysis utilized data from the Global Burden of Disease Study 2021. It employed multi-source data and advanced statistical modeling to estimate LEPAD prevalence, incidence, mortality, DALYs, and risk factor attribution across 204 countries and territories.
Results: In 2021, there were 113.7 million LEPAD survivors and 10.0 million new cases globally, with females comprising 67.0% of prevalent cases. LEPAD caused 67,000 deaths and 1.5 million DALYs. Six key risk factors accounted for most attributable DALYs: high fasting plasma glucose (36.06%), kidney dysfunction (28.64%), smoking (25.04%), hypertension (21.72%), lead exposure (15.05%), and high body-mass index (BMI, 8.75%). Low- and middle-income countries bore a disproportionate burden (68.8% of incident cases, 60.9% of DALYs). While global incidence and mortality modestly declined since 1990, increases occurred in lower-middle and low Socio-Demographic Index regions. 
Conclusions: LEPAD imposes a substantial global burden, disproportionately affecting females and populations in low-resource settings. Modifiable metabolic (glucose, kidney function, BMI, hypertension) and behavioral (smoking) risks dominate. Targeted interventions, especially in high-burden regions experiencing increasing trends, are urgently needed to mitigate LEPAD-related morbidity and mortality. Future research should focus on effective interventions and healthcare access barriers.
DOI: 10.5281/zenodo.16986854
title: Technical Note: DACNO2 – A Multi-Constraint Deep Learning Framework for High-Resolution 3D NO2 Field Estimation

description: The data generated for "Technical Note: DACNO2 – A Multi-Constraint Deep Learning Framework for High-Resolution 3D NO2 Field Estimation"

Contact: Wenfu Sun (wenfu.sun[at]aeronomie.be)
DOI: 10.5281/zenodo.16986855
title: Technical Note: DACNO2 – A Multi-Constraint Deep Learning Framework for High-Resolution 3D NO2 Field Estimation

description: The data generated for "Technical Note: DACNO2 – A Multi-Constraint Deep Learning Framework for High-Resolution 3D NO2 Field Estimation"

Contact: Wenfu Sun (wenfu.sun[at]aeronomie.be)
DOI: 10.6084/m9.figshare.29383088
title: <b>PixlMap: a generalisable pixel classifier for cellular phenotyping in multiplex immunofluorescence images</b>

description: We introduce an alternative approach to cellular phenotyping, inspired by the observation that human experts can reliably assign cell phenotypes without precisely delineating cell boundaries. Our method is a user-friendly, deep learning–based phenotyping technique that mimics this human capability by accurately classifying cells using only nuclear segmentation.To develop this approach, we used human-annotated cellular regions as ground truth and implemented a classifier based on the U-Net architecture within a commercially available deep learning image analysis platform, Visiopharm—though the concept is easily adaptable to any deep learning framework. Importantly, the training process requires just a single example of each type of compartmental stain (nuclear, cytoplasmic, and membranous). The resulting model can assign phenotypic classes to nuclear labels, without the need to reconstruct full cell boundaries.This method is both highly novel and broadly generalisable. It delivers accuracy on par with pathologist-level annotations, and out-performs traditional intensity-based phenotyping techniques, offering a robust solution that bypasses the limitations of inaccurate cellular segmentation while maintaining reliable phenotype classification.
DOI: 10.6084/m9.figshare.29383088.v1
title: <b>PixlMap: a generalisable pixel classifier for cellular phenotyping in multiplex immunofluorescence images</b>

description: We introduce an alternative approach to cellular phenotyping, inspired by the observation that human experts can reliably assign cell phenotypes without precisely delineating cell boundaries. Our method is a user-friendly, deep learning–based phenotyping technique that mimics this human capability by accurately classifying cells using only nuclear segmentation.To develop this approach, we used human-annotated cellular regions as ground truth and implemented a classifier based on the U-Net architecture within a commercially available deep learning image analysis platform, Visiopharm—though the concept is easily adaptable to any deep learning framework. Importantly, the training process requires just a single example of each type of compartmental stain (nuclear, cytoplasmic, and membranous). The resulting model can assign phenotypic classes to nuclear labels, without the need to reconstruct full cell boundaries.This method is both highly novel and broadly generalisable. It delivers accuracy on par with pathologist-level annotations, and out-performs traditional intensity-based phenotyping techniques, offering a robust solution that bypasses the limitations of inaccurate cellular segmentation while maintaining reliable phenotype classification.
DOI: 10.5281/zenodo.16992754
title: OSM Boundaries

description: OSM-Boundaries was created to enable users to easily extract boundaries such as country borders, state borders, and equivalents from the OpenStreetMap databases

 

More information can be found at the source here
DOI: 10.5281/zenodo.16992755
title: OSM Boundaries

description: OSM-Boundaries was created to enable users to easily extract boundaries such as country borders, state borders, and equivalents from the OpenStreetMap databases

 

More information can be found at the source here
DOI: 10.15493/dea.mims.26500019
title: Carbonate chemistry time-series from discrete sampling at thirteen sites in Algoa Bay, South Africa, 2018 - 2020

description: Coastal ocean acidification and global change monitoring
description: Coastal monthly carbonate chemistry data and other associated physico-chemical parameters from Algoa Bay, on the temperate south coast of South Africa. Eight offshore and five inshore sites were sampled. Temperature, salinity and dissolved oxygen were measured at each offshore site, and temperature was measured at each inshore site. At each offshore and inshore site, a single sea water sample was collected at the surface for later analysis of pH and total alkalinity (TA) in the laboratory. Remaining parameters of the carbonate system (including pCO2) were calculated in the software program CO2SYS (Lewis and Wallace, 1998) using pH and TA as input parameters. Temperature, salinity, silicate and phosphate concentrations were included in the calculations as supplemental data which may influence carbonate speciation.
description: These data were collected using primary monitoring of eight offshore (~ 30m depth) and five inshore intertidal (<1m depth) sites in Algoa Bay, South Africa. The sites were sampled monthly (weather dependent). The offshore sites were accessed by boat and at each site the temperature, salinity and DO were measured using a CTD (Seabird SBE 19plus). The inshore sites were accessed on foot by wading into the surf and at these sites temperature and salinity were measured manually using a hand-held thermometer and refractometer, respectively. At each offshore and inshore site, a single seawater sample was collected at the surface for later analysis of pH and TA in the laboratory (within 24 hours of sample collection when possible). pH was determined to the nearest 0.01 pH unit on the total scale using a spectrophotometric pH determination (as described in the standard operating procedures of Dickson et al., 2007, SOP 6b) and corrected to in situ temperature using CO2SYS. Total alkalinity (TA) was determined using a manual open cell titration (as described in the standard operating procedures of Dickson et al., 2007, SOP 3b). All laboratory analyses of pH and TA were conducted using the GOA-ON OA-in-a-box-kit (for details see http://www.goa-on.org/resources/kits.php). Remaining parameters of the carbonate system (including pCO2) were calculated in the software program CO2SYS (Lewis and Wallace, 1998) using pH and TA as input parameters. Temperature, salinity, silicate and phosphate (measured from triplicate surface samples using an auto-analyser Multitest MT19, Seal Analytical) concentration were included in the calculations as supplemental data which may influence carbonate speciation. The calculations used equilibrium constants from Merbach et al. (2973), refit by Dickson and Millero (1987) and KSO4 from Dickson (1990). Due to limited access to Certified Reference Materials (CRM's) no data quality control was possible. All data shown here should therefore be considered as raw measurements having undergone no quality control processing.
DOI: 10.6084/m9.figshare.30010159
title: Individual CMJ Kinetic metrics (figure 3) from Sex performance difference in vertical and horizontal jumping

description: Supplementary data_figure3.xlsx
DOI: 10.6084/m9.figshare.30010159.v1
title: Individual CMJ Kinetic metrics (figure 3) from Sex performance difference in vertical and horizontal jumping

description: Supplementary data_figure3.xlsx
DOI: 10.6084/m9.figshare.30010165
title: Supplementary Material from Genomic and morphological analysis reveals long-term mammoth hybridization in British Columbia, Canada

description: Dehasque2025_BL_R1_Supplementary_tables.xlsx
DOI: 10.6084/m9.figshare.30010165.v1
title: Supplementary Material from Genomic and morphological analysis reveals long-term mammoth hybridization in British Columbia, Canada

description: Dehasque2025_BL_R1_Supplementary_tables.xlsx
DOI: 10.5255/ukda-sn-858016
title: Austerity Redux: The Post‐Pandemic Wave of Budget Cuts and The Future of Global Public Health, 2021-2024

description: The convergence of health, economic and social crises over the past 1.5 years has posed profound questions over the direction of travel for the world after COVID-19. The narrative emerging out of major international organizations like the International Monetary Fund stresses avoiding a ‘divergent recovery’, whereby some countries steam ahead with high growth rates underpinned by robust government interventions and others fall further behind. In this account, crisis aftermath should not witness budget cuts, but investment in employment and human capital formation. So, is austerity a thing of the past? In this article, we review available evidence, focusing on public spending projections by the IMF and the precise content of IMF lending arrangements. Overall, we find that abandonment of the austerity argument is partially true right now, and questionable in the medium-term. Our analysis of public expenditure projections reveals that by 2023, 83 out of 189 countries will face contractions in government spending compared to their 2010s average, thereby exposing a cumulative total of 2.3 billion people to the socio-economic consequences of budget cuts. Most of the contracting countries will be middle-income, while public spending in low-income countries is expected to stagnate at low levels. Further, the IMF's lending arrangements reveal the return of extensive austerity measures and structural reforms, reminiscent of the organization's past policy advice. Drawing on these findings, we elaborate on how this will likely impact global public health.
DOI: 10.60893/figshare.jcp.29849000
title: Supplemental Information

description: MD simulation details (number of molecules, box volume), densities (MD and experimental), self-diffusion coefficients (MD and experimental), radial distribution functions, lithium coordination numbers, Li-anion network, equations for discussed quantities, ionicities (MD and experimental).
DOI: 10.60893/figshare.jcp.29849000.v1
title: Supplemental Information

description: MD simulation details (number of molecules, box volume), densities (MD and experimental), self-diffusion coefficients (MD and experimental), radial distribution functions, lithium coordination numbers, Li-anion network, equations for discussed quantities, ionicities (MD and experimental).
DOI: 10.7910/dvn/qjm0ws
title: Replication Data for: The Autocracy Bias: Evaluating Democratic Citizens’ Perception of Human Rights Violations in Policy Proposals Abroad

description: Datasets and R script to reproduce the results in the paper.
DOI: 10.5281/zenodo.16164680
title: A new route to tune the electrical properties of graphene oxide: a simultaneous, one-step N-doping and reduction as a tool for its structural transformation

description: Collection of data for the manuscript entitled

"A new route to tune the electrical properties of graphene oxide: a simultaneous, one-step N-doping and reduction as a tool for its structural transformation".

The dataset for samples named GO-500, GO-800, HOPG-500, and HOPG-800, depending on the starting materials and annealing temperatures. Samples were obtained using the procedure explained in the manuscript.
DOI: 10.5281/zenodo.16164681
title: A new route to tune the electrical properties of graphene oxide: a simultaneous, one-step N-doping and reduction as a tool for its structural transformation

description: Collection of data for the manuscript entitled

"A new route to tune the electrical properties of graphene oxide: a simultaneous, one-step N-doping and reduction as a tool for its structural transformation".

The dataset for samples named GO-500, GO-800, HOPG-500, and HOPG-800, depending on the starting materials and annealing temperatures. Samples were obtained using the procedure explained in the manuscript.
DOI: 10.5281/zenodo.16993947
title: The mediating role of fungal microbiome in the relation between crop health and soil nutrients - data

description: The dataset for: The mediating role of fungal microbiome in the relation between crop health and soil nutrients paper.

 

1) The abiotic data: measuring soil conditions, climate variables, and the NDVI response value per sample site

2)  OTU taxa table: measuring Operational taxonomic counts per class at different level
DOI: 10.5281/zenodo.16993946
title: The mediating role of fungal microbiome in the relation between crop health and soil nutrients - data

description: The dataset for: The mediating role of fungal microbiome in the relation between crop health and soil nutrients paper.

 

1) The abiotic data: measuring soil conditions, climate variables, and the NDVI response value per sample site

2)  OTU taxa table: measuring Operational taxonomic counts per class at different level
DOI: 10.12751/g-node.y6xp8z
title: Cerebrovascular MRI in women with Polycystic Ovary Syndrome: influence of condition, hyperandrogenism and insulin resistance

description: This imaging dataset comprises of in-vivo brain data from fifteen patients with PCOS (age 32.0±7.4 years body mass index (BMI) 31.8±5.7 kg/m2) and twelve healthy controls (age 30.7±6.4 years BMI 30.2±5.8 kg/m2). This includes 3 Tesla (3T) magnetic resonance imaging (MRI) data, together with bloods data (testosterone and HOMA2-IR).
description: IsSupplementTo: Wright ME, Richards CT, Davies S, Lord RN, Rees DA, Murphy K: Cerebrovascular MRI in women with Polycystic Ovary Syndrome: influence of condition, hyperandrogenism and insulin resistance. Clinical Endocrinology, submitted.
DOI: 10.60893/figshare.pof.29867294
title: supplementary material

description: supplementary material
DOI: 10.60893/figshare.pof.29867294.v1
title: supplementary material

description: supplementary material