cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zw2x3pyptj.1
title: Analysis of Mechanical Behavior of Cement-Lime-Based Rendering Mortar Exposed to High Temperatures Considering Different Specimen Geometries

description: This dataset refers to a research on the mechanical behavior of cement-lime-based rendering mortar exposed to high temperatures, considering different specimen geometries. It contains excel files (.xlsx) with results from compressive, splitting tensile and flexural tests, along with results from dynamic elastic modulus tests and mass loss of cement-lime-based rendering mortar. Also, the origin file (.opju) contains the results from the statistical analysis (one-way ANOVA and Tukey test) between different specimens of mortar in each target temperature, the regression for determining the formulation to predict the residual compressive and tensile strengths, and the other graphs used to evaluate the results from the research.
DOI: 10.17632/xhxv57nkt9.1
title: Verifying the physiological significance of the preference for low facial temperature in humans

description: data of this project
DOI: 10.6084/m9.figshare.28714784
title: Dissertation Client Master Analysis Raw Data Sheet

description: This contains the raw data, used during the creation of my thesis. Each participants full data set has been included with chronotype listed. The following metrics for each participants were included:Mean VO2, VO2 max, Mean VE, Mean RF, Mean TV, Mean FeO2, Mean RF, Avg HR and Predicted 70% MHR as well as Chronotype values
DOI: 10.6084/m9.figshare.28714784.v1
title: Dissertation Client Master Analysis Raw Data Sheet

description: This contains the raw data, used during the creation of my thesis. Each participants full data set has been included with chronotype listed. The following metrics for each participants were included:Mean VO2, VO2 max, Mean VE, Mean RF, Mean TV, Mean FeO2, Mean RF, Avg HR and Predicted 70% MHR as well as Chronotype values
DOI: 10.17632/v6p5r5dmdy.1
title: Dataset for "Measurement report: Investigation of Optical Properties of Different Fuels Diesel Exhaust by an Atmospheric Simulation Chamber experiment"

description: This study examines optical properties and the variability of the mass absorption coefficient of carbonaceous aerosols produced by the combustion of different fuels. Experiments, conducted in an atmospheric simulation chamber, tested different methods of sampling and analyzing carbonaceous aerosols, with a focus on workplace environments. The dataset includes:
• Continuous monitoring data of temperature, pressure, and humidity in ChAMBRe during each experiment.
• Particle concentration and size distribution measured inside ChAMBRe using an SMPS.
• Soot particle absorption coefficients (babs) at 870 nm from online measurements using a PAX from Droplet Measurement Technologies.
• Soot particle absorption coefficients (babs) at 635 nm from online measurements using a Giano_BC1 from Dadolab srl.
• Soot particle absorption coefficients (babs) from offline MWAA analysis at 635 and 850 nm on sampled filters.
• EC and OC mass concentrations determined by TOT analysis using a Sunset EC/OC analyzer and the NIOSH 5040 protocol.
DOI: 10.17632/79y7bht7tf.1
title: Processed Multiplexed Ion Beam Imaging (MIBI) of tumor microenvironments of 54 melanoma samples following immunotherapy

description: This is a processed dataset of MIBI data from 54 patients with melanoma who received immunotherapy. 29 protein expression levels are measured (denoised and normalized) in tumor microenvironment T-cells, of which there are hundreds of samples for each patient. Spatial data for each T-cell (x and y-coordinates and estimated area) and some basic (non-identifying) patient characteristics are also included.
DOI: 10.17632/79y7bht7tf.2
title: Processed Multiplexed Ion Beam Imaging (MIBI) of tumor microenvironments of 54 melanoma samples following immunotherapy

description: This dataset consists of processed results from a MIBI (Multiplexed Ion Beam Imaging) study of 54 patients with melanoma who received immunotherapy. MIBI is a highly multiplexed imaging technique that enables the simultaneous, quantitative detection of dozens of protein markers within tissue samples at sub-cellular resolution. It combines antibody-based staining with time-of-flight secondary ion mass spectrometry (ToF-SIMS) to analyze the tumor microenvironment. The 29-protein panel used in this MIBI study included markers for broad cell typing (e.g., CD45, SOX10), myeloid subsets (CD68, CD163), lymphocyte subsets (CD3, CD8), immune checkpoints (PD-1, PD-L1, LAG-3, TIM-3), and other markers (e.g., proliferation, structural markers).

After imaging on field of view (FOV) for each patient sample, the arcsinh-transformed values of the panel proteins were used in conjunction with a deep learning-based object-detection model (trained on previously segmented MIBI studies) to localize and classify the cell types within each FOV. The 'scaled_mibi_data_w_cell_gating.csv' file contains these results, where each row is for one cell identified in an FOV. This table includes cells' spatial information (x and y-coordinates and estimated area), their 29 arcsinh-transformed protein intensity measurements, and boolean columns for their cell typing. Note that these cell types are hierarchical, falling under four main categories: tumor cells, fibroblasts, smooth muscle/myofibroblasts, and immune cells.

In addition, the 'patient_info.csv' file contains some basic (non-identifying) patient characteristics (age tertile at diagnosis within the 54 patient sample, and Roman numeral stage at diagnosis), along with two clinical outcome variables: 'response_binary' and 'response_multi'. Specifically, a value of 1 in the 'response_binary' variable indicates whether the patient showed stable disease, a partial response, or remission after immunotherapy (0 then represents progressive disease); the 'response_multi' variable encodes their more granular outcome (CR = complete response, PR = partial response, SD = stable disease, PD = progressive disease).
DOI: 10.17632/8rt86dzcxc.1
title: Supplementary fig 2. Receiver operating characteristic (ROC) curves for inflammatory markers in predicting disease-specific survival (DSS) of 85 patients with Extramammary Paget's disease

description: Supplementary Fig 2. Receiver operating characteristic (ROC) curves for inflammatory markers in predicting disease-specific survival (DSS): (a) neutrophil-to-lymphocyte ratio (NLR); (b) platelet-to-lymphocyte ratio (PLR); (c) lymphocyte-to-monocyte ratio (LMR); (d) platelet-to-neutrophil ratio (PNR). Key metrics, including area under the curve (AUC), best cutoffs, sensitivity, and specificity, are shown within the plots.
DOI: 10.17632/6kb6wxfrvy
title: Supplementary fig 1. Receiver operating characteristic (ROC) curves for inflammatory markers in predicting overall survival (OS) of 85 patients with Extramammary Paget's disease

description: Supplementary Fig 1. Receiver operating characteristic (ROC) curves for inflammatory markers in predicting overall survival (OS): (a) neutrophil-to-lymphocyte ratio (NLR); (b) platelet-to-lymphocyte ratio (PLR); (c) lymphocyte-to-monocyte ratio (LMR); (d) platelet-to-neutrophil ratio (PNR). Key metrics, including area under the curve (AUC), best cutoffs, sensitivity, and specificity, are shown within the plots.
DOI: 10.17632/6kb6wxfrvy.1
title: Supplementary fig 1. Receiver operating characteristic (ROC) curves for inflammatory markers in predicting overall survival (OS) of 85 patients with Extramammary Paget's disease

description: Supplementary Fig 1. Receiver operating characteristic (ROC) curves for inflammatory markers in predicting overall survival (OS): (a) neutrophil-to-lymphocyte ratio (NLR); (b) platelet-to-lymphocyte ratio (PLR); (c) lymphocyte-to-monocyte ratio (LMR); (d) platelet-to-neutrophil ratio (PNR). Key metrics, including area under the curve (AUC), best cutoffs, sensitivity, and specificity, are shown within the plots.
DOI: 10.17632/swh6p4sgnm
title: Dataset for "Managing Connection Queues in Distribution Networks with Flexible Connection Agreements"

description: The data provided here was used in the research for the paper "Managing Connection Queues in Distribution Networks with Flexible Connection Agreements." It includes five .xlsx files. From the original dataset P1200_households_kW_hourly.csv, three dimensionless profiles have been obtained as representative for low, medium and high consumption patterns (the profiles have been normalized in per unit). The original dataset is obtained from the open web tool StROBe (Stochastic Residential Occupancy Behaviour). 
Finally, the generation profile for PVs was obtained from PVGIS web application.
DOI: 10.17632/swh6p4sgnm.1
title: Dataset for "Managing Connection Queues in Distribution Networks with Flexible Connection Agreements"

description: The data provided here was used in the research for the paper "Managing Connection Queues in Distribution Networks with Flexible Connection Agreements." It includes five .xlsx files. From the original dataset P1200_households_kW_hourly.csv, three dimensionless profiles have been obtained as representative for low, medium and high consumption patterns (the profiles have been normalized in per unit). The original dataset is obtained from the open web tool StROBe (Stochastic Residential Occupancy Behaviour). 
Finally, the generation profile for PVs was obtained from PVGIS web application.
DOI: 10.17632/37ry9sxh7n.1
title: Supplementary fig 2. Receiver operating characteristic (ROC) curves for inflammatory markers in predicting disease-specific survival (DSS) of 85 patients with Extramammary Paget's disease

description: Supplementary Fig 2. Receiver operating characteristic (ROC) curves for inflammatory markers in predicting disease-specific survival survival (DSS): (2A) neutrophil-to-lymphocyte ratio (NLR); (2B) platelet-to-lymphocyte ratio (PLR); (2C) lymphocyte-to-monocyte ratio (LMR); (2D) platelet-to-neutrophil ratio (PNR). Key metrics, including area under the curve (AUC), best cutoffs, sensitivity, and specificity, are shown within the plots.
DOI: 10.17632/4zhdfxrdkc.1
title: Supplementary fig 1. Receiver operating characteristic (ROC) curves for inflammatory markers in predicting overall survival (OS) of 85 patients with Extramammary Paget's disease

description: Supplementary Fig 1. Receiver operating characteristic (ROC) curves for inflammatory markers in predicting overall survival (OS): (1A) neutrophil-to-lymphocyte ratio (NLR); (1B) platelet-to-lymphocyte ratio (PLR); (1C) lymphocyte-to-monocyte ratio (LMR); (1D) platelet-to-neutrophil ratio (PNR). Key metrics, including area under the curve (AUC), best cutoffs, sensitivity, and specificity, are shown within the plots.
DOI: 10.17632/3x9f7ffxnz.1
title: Fe_Photox_EPSL_Supplement

description: Spreadsheet with photochemical and actinometric experimental data.
DOI: 10.17632/3x9f7ffxnz
title: Vergeli et al., 2025 Supplement

description: Spreadsheet with photochemical and actinometric experimental data.
DOI: 10.17632/3x9f7ffxnz.2
title: Vergeli et al., 2025 Supplement

description: Spreadsheet with photochemical and actinometric experimental data.
DOI: 10.17632/62rp4p75cr.1
title: Data sets for Evolution of Wolbachia male-killing mechanism within a host species

description: The datasets are associated with the article 'Evolution of Wolbachia male-killing mechanism within a host species' by Arai et al. (2025) Current Biology.
More detailed descriptions can be found in Overall.descriptions.of.files.txt.
DOI: 10.15468/dl.m5x9d3
title: Occurrence Download

description: A dataset containing 25686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthozoa"
 ]
}

 The dataset includes 25686 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000015-250402095845217/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dstpngdsff.1
title: Artificial Intelligence for Early Detection and Prognosis Prediction of Diabetic Retinopathy

description: This review explores the transformative role of artificial intelligence (AI) in the early detection and prognosis prediction of diabetic retinopathy (DR), a leading cause of vision loss in diabetic patients. AI, particularly deep learning and convolutional neural networks (CNNs), has demonstrated remarkable accuracy in analyzing retinal images, identifying early-stage DR with high sensitivity and specificity. These advancements address critical challenges such as intergrader variability in manual screening and the limited availability of specialists, especially in underserved regions. The integration of AI with telemedicine has further enhanced accessibility, enabling remote screening through portable devices and smartphone-based imaging. Economically, AI-based systems reduce healthcare costs by optimizing resource allocation and minimizing unnecessary referrals. Key findings highlight the dominance of Medicine (819 documents) and Computer Science (613 documents) in research output, reflecting the interdisciplinary nature of this field. Geographically, China, the United States, and India lead in contributions, underscoring global efforts to combat DR. Despite these successes, challenges such as algorithmic bias, data privacy, and the need for explainable AI (XAI) remain. Future research should focus on multi-center validation, diverse AI methodologies, and clinician-friendly tools to ensure equitable adoption. By addressing these gaps, AI can revolutionize DR management, reducing the global burden of diabetes-related blindness through early intervention and scalable solutions.
DOI: 10.15468/dl.u3v4zn
title: Occurrence Download

description: A dataset containing 765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "GadmGid is CHN.21_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco tinnunculus Linnaeus, 1758",
 "Year 2000-2024"
 ]
}

 The dataset includes 765 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000018-250402095845217/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6mr6t
title: Occurrence Download

description: A dataset containing 28011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Acer opalus Mill.",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 28011 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000016-250402095845217/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26186/150050
title: AusBathyTopo (Australia) 250m 2024 - A national-scale depth model (20240011C)

description: The AusBathyTopo 250m (Australia) 2024 Grid is a national-scale depth model for Australia that replaces the AusBathyTopo 250m (Australia) 2023 Grid.<br>This publication is the result of a collaborative partnership between Geoscience Australia, the Australian Hydrographic Office, James Cook University, and the University of Sydney. It has been compiled using 1456 unique data sources from multibeam echosounders, single-beam echosounders, LiDAR, 3D seismic first returns, Electronic Navigation Charts and satellite derived bathymetry alongside higher-resolution regional compilations. In particular, the map incorporates new innovations such as the use of earth observation data (satellite based) produced by Digital Earth Australia to improve shallow coastal depth modelling to present a seamless transition between land and sea. All source bathymetry data were extensively edited as 3D point clouds to remove noise, given a consistent WGS84 horizontal datum, and where possible, an approximate MSL vertical datum. This new continental-scale grid represents decades of data collection, analysis, investment and collaboration from Australia’s seabed mapping community and is a significant improvement on the 2009 and 2023 compilations.<br>The data extends across a vast area from 92°E to 172° E and 8°S to 60° S. This includes areas adjacent to the Australian continent and Tasmania, and surrounding Macquarie Island and the Australian Territories of Norfolk Island, Christmas Island, and Cocos (Keeling) Islands. Australia's marine jurisdiction offshore from the territory of Heard and McDonald Islands and the Australian Antarctic Territory are not included.<br>Acknowledgements: * CSIRO Marine National Facility (https://ror.org/01mae9353 ) in undertaking this research. The datasets used were collected by the Marine National Facility on 81 voyages (see Lineage for identification).* Australian Hydrographic Office. Over 840 datasets contributed to this compilation<br>This dataset is not to be used for navigational purposes.
DOI: 10.21227/zdfm-kp95
title: Cognitive Fatigue Assessment Using Physiological Sensors during Human-Robot Interaction for Activities of Daily Living

description: A multimodal dataset is presented for the cognitive fatigue assessment of physiological minimally invasive sensory data of Electrocardiography (ECG) and Electrodermal Activity (EDA) and self-reporting scores of cognitive fatigue during HRI. Data were collected from 16 non-STEM participants, up to three visits each, during which the subjects interacted with a robot to prepare a meal and get ready for work. For some of the visits, a well-established cognitive test was used to induce cognitive fatigue. The developed cognitive fatigue assessment framework filtered noise from the raw signals, extracted relevant features, and applied machine learning regression algorithms, such as Support Vector Regression (SVR), Gradient Boosting Machine (GBM), and Random Forest Regressor (RFR) for estimating the Cognitive Fatigue (CF) level.
DOI: 10.15468/dl.9d6bvr
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Australian National Insect Collection, Queensland Museum provider for OZCAM, Museums Victoria provider for OZCAM, Entomological Collections (NHRS), Swedish Museum of Natural History (NRM), NSW DPI Biosecurity Collections, Texas A&M University Insect Collection, Australian Museum provider for OZCAM, Earth Guardians Weekly Feed, Lund University Biological Museum - Insect collections Inventory)",
 "TaxonKey is Anoplognathus abnormis MacLeay, 1873"
 ]
}

 The dataset includes 109 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032595-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q85nh5
title: Occurrence Download

description: A dataset containing 989 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corallus ruschenbergerii (Cope, 1875)"
 ]
}

 The dataset includes 989 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032596-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48436/7e8mm-4d725
title: Tetraethylammonium Salts as Solid, Easy to Handle Ethylene Precursors and Their Application in Mizoroki–Heck Coupling

description: Analytical Data and Compound Numbering (in paper numbering vs. ELN entries) for the Publication entitled:"Tetraethylammonium Salts as Solid, Easy to Handle Ethylene Precursors and Their Application in Mizoroki−Heck Coupling"

The paper was published on 2024-03-11 in The Journal Organic Chemistry

J. Org. Chem. 2024, 89, 5126−5133

DOI: 10.1021/acs.joc.3c02867

Authors: Eleni Papaplioura, Maëva Mercier, Michael E. Muratore, Tobias Biberger, Soufyan Jerhaoui, Michael Schnürch

This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie, Grant Agreement No. 860762.

Context and methodology

In this study, we introduce a convenient Heck vinylation protocol that eliminates the requirement for ethylene gas as a coupling partner. In contrast to traditional methodologies, quaternary ammonium salts can serve as solid olefin precursors under ambient atmosphere conditions. The practicality of this method, distinguished by its convenience and safety in a one-pot reaction, renders it appealing for applications in research and discovery context.

The publication and its Supporting Information can be found as open-access files on the publisher's website (see DOI above).

All detailed files containing the analytical raw data, for all compounds given in the Supporting Information of the manuscript are uploaded. An additional PDF file named J. Org. Chem. 2024 compound number list.docx is uploaded, that should clearly link the compound number given in the paper to the respective entry in the ELN (jotempl) and the respective analytical data files. 

Technical details

The files uploaded contain the FIDs of NMR spectra recorded by an in-house Bruker Spectrometer. A software to display NMR-spectra is needed, such as MestreNova or Topspin).

HRMS data is uploaded too and has to be processed via MassHunter software.
DOI: 10.48436/t4nvy-a1k47
title: Tetraethylammonium Salts as Solid, Easy to Handle Ethylene Precursors and Their Application in Mizoroki–Heck Coupling

description: Analytical Data and Compound Numbering (in paper numbering vs. ELN entries) for the Publication entitled:"Tetraethylammonium Salts as Solid, Easy to Handle Ethylene Precursors and Their Application in Mizoroki−Heck Coupling"

The paper was published on 2024-03-11 in The Journal Organic Chemistry

J. Org. Chem. 2024, 89, 5126−5133

DOI: 10.1021/acs.joc.3c02867

Authors: Eleni Papaplioura, Maëva Mercier, Michael E. Muratore, Tobias Biberger, Soufyan Jerhaoui, Michael Schnürch

This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie, Grant Agreement No. 860762.

Context and methodology

In this study, we introduce a convenient Heck vinylation protocol that eliminates the requirement for ethylene gas as a coupling partner. In contrast to traditional methodologies, quaternary ammonium salts can serve as solid olefin precursors under ambient atmosphere conditions. The practicality of this method, distinguished by its convenience and safety in a one-pot reaction, renders it appealing for applications in research and discovery context.

The publication and its Supporting Information can be found as open-access files on the publisher's website (see DOI above).

All detailed files containing the analytical raw data, for all compounds given in the Supporting Information of the manuscript are uploaded. An additional PDF file named J. Org. Chem. 2024 compound number list.docx is uploaded, that should clearly link the compound number given in the paper to the respective entry in the ELN (jotempl) and the respective analytical data files. 

Technical details

The files uploaded contain the FIDs of NMR spectra recorded by an in-house Bruker Spectrometer. A software to display NMR-spectra is needed, such as MestreNova or Topspin).

HRMS data is uploaded too and has to be processed via MassHunter software.
DOI: 10.15468/dl.m4ppe6
title: Occurrence Download

description: A dataset containing 557 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trogoderma granarium Everts, 1898"
 ]
}

 The dataset includes 557 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032598-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.