cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8277281
title: Elevation data for On the More Complex Wavelength Dependency of Airy Isostasy in Icy Shells of Ocean Worlds

description: Elevations for surface and root topographies of simulated displacements.
DOI: 10.25835/1vw3grou
title: Files for the simulation of camera-based object detection

description: This dataset contains files for the simulation of camera-based object detection. It consits of the settings for camera and headlamp control as well as the measured data of a headlamp of an Audi A6. Furthermore, the dataset contains the simulated Lightlab at the IPeG.
DOI: 10.18465/4165b048-728f-429c-9bc8-6fdc8f08cce2
title: MNS Bernerie 2022

description: Modèle Numérique de Surface obtenu par LiDAR sur la côte ligérienne au niveau de la Bernerie
DOI: 10.18465/476524ed-4e63-43a5-a5ad-ed5d920c1a43
title: MNT Bernerie 2022

description: Modèle Numérique de Terrain obtenu par LiDAR sur la côte ligérienne au niveau de la Bernerie
DOI: 10.21942/uva.24631050.v1
title: Behavioral data

description: This dataset contains the raw behavioral data of the spatial attention task. The zip-file containts .csv files for each participant and experimental session. Each file shows parameters (columns) for each trial (rows), including direction of the cue ('cue'), location of the target stimulus ('location'), orientation of the target stimulus ('orientation').
DOI: 10.6084/m9.figshare.21647123
title: Controls on stable isotopes in monsoonal precipitation across the Bay of Bengal: atmosphere and surface analysis

description: Modeled stable isotope data of precipitation and water vapor from IsoGSM2 Observed precipitation stable isotope data at Darjeeling and Tezpur
DOI: 10.6084/m9.figshare.21647123.v3
title: Controls on stable isotopes in monsoonal precipitation across the Bay of Bengal: atmosphere and surface analysis

description: Modeled stable isotope data of precipitation and water vapor from IsoGSM2 Observed precipitation stable isotope data at Darjeeling and Tezpur
DOI: 10.22029/jlupub-1
title: Bibliothek aus Sicht der Nutzerinnen und Nutzer

description: Erläuterungen zum Datensatz finden sich in der Publikation: Dippelhofer, Sebastian (2014). Das Bibliothekssystem der Universität Gießen: Erwartungen und Wünsche ihrer Besucher/innen; eine quantitativ-empirische Bestandsaufnahme (urn:nbn:de:hebis:26-opus-109749). Es handelt sich um eine csv.-Datei, die bspw. in SPSS einlesbar ist.
DOI: 10.6084/m9.figshare.24591306
title: Supplementary Material for: Comparing Protein and Gene Expression Signature between Nasal Polyps and Nasal Fluids in Chronic Rhinosinusitis

description: Introduction: Chronic rhinosinusitis with nasal polyps (CRSwNP) is a serious inflammatory condition. Nasal fluids (NFs) present a non-invasive alternative to nasal biopsy for studying CRSwNP pathogenesis. We aimed to compare the protein and mRNA inflammation signature between nasal polyps (NPs) and NFs. Method: The performance of polyvinyl alcohol (PVA) sponges and NFs absorbable device (NFAD) for collecting NFs from 20 patients with CRSwNP was compared using the Luminex assay. The other group consisted of four healthy controls and an additional 21 CRSwNP patients (including eosinophilic CRSwNP [ECRSwNP] and non-eosinophilic CRSwNP [NECRSwNP]) for protein quantification by Olink platform and gene expression evaluation by RNA-sequencing. Spearman’s analysis was performed to detect correlations between protein expression levels in NFs and clinical assessment variables. Results: NFAD-collected NFs contained at least a 2-fold higher concentration of cytokines than that obtained using PVA sponge, and these cytokines levels are significantly associated with NPs (ρ &gt; 0.45, P &lt; 0.05). Differentially expressed proteins between NFs and NPs were significantly correlated in the ECRSwNP subgroup compared with controls (ρ = 0.41, P &lt; 0.01). Levels of Th2/IL-13, MCP4, and CCL4, characteristic of eosinophilic infiltration, were increased in ECRSwNP patients. A significant correlation between gene and protein expression was observed (ρ = 0.34, P &lt; 0.01). PDL2 levels in NFs were positively correlated with ECRSwNP postoperative recurrence, the nasal VAS and SNOT-22 scores (ρ &gt; 0.68, P &lt; 0.05 for all). Conclusion: Our study revealed similarities and discrepancies in inflammatory signatures between NPs and NFs in the same CRSwNP patient.
DOI: 10.6084/m9.figshare.24591306.v1
title: Supplementary Material for: Comparing Protein and Gene Expression Signature between Nasal Polyps and Nasal Fluids in Chronic Rhinosinusitis

description: Introduction: Chronic rhinosinusitis with nasal polyps (CRSwNP) is a serious inflammatory condition. Nasal fluids (NFs) present a non-invasive alternative to nasal biopsy for studying CRSwNP pathogenesis. We aimed to compare the protein and mRNA inflammation signature between nasal polyps (NPs) and NFs. Method: The performance of polyvinyl alcohol (PVA) sponges and NFs absorbable device (NFAD) for collecting NFs from 20 patients with CRSwNP was compared using the Luminex assay. The other group consisted of four healthy controls and an additional 21 CRSwNP patients (including eosinophilic CRSwNP [ECRSwNP] and non-eosinophilic CRSwNP [NECRSwNP]) for protein quantification by Olink platform and gene expression evaluation by RNA-sequencing. Spearman’s analysis was performed to detect correlations between protein expression levels in NFs and clinical assessment variables. Results: NFAD-collected NFs contained at least a 2-fold higher concentration of cytokines than that obtained using PVA sponge, and these cytokines levels are significantly associated with NPs (ρ &gt; 0.45, P &lt; 0.05). Differentially expressed proteins between NFs and NPs were significantly correlated in the ECRSwNP subgroup compared with controls (ρ = 0.41, P &lt; 0.01). Levels of Th2/IL-13, MCP4, and CCL4, characteristic of eosinophilic infiltration, were increased in ECRSwNP patients. A significant correlation between gene and protein expression was observed (ρ = 0.34, P &lt; 0.01). PDL2 levels in NFs were positively correlated with ECRSwNP postoperative recurrence, the nasal VAS and SNOT-22 scores (ρ &gt; 0.68, P &lt; 0.05 for all). Conclusion: Our study revealed similarities and discrepancies in inflammatory signatures between NPs and NFs in the same CRSwNP patient.
DOI: 10.21942/uva.24624318
title: Physiological and subjective experience data

description: This dataset contains four files. Below is a description of these files. <br> - physiology.csv Contains physiological measurements of each experimental session and on three points in time during a session. Specifically, heart rate and blood pressure were measured 1) before ingestion of the first pill, 2) ~4hrs after ingestion of the first pill (right before onset of 1st behavioral task), and 3) ~7hrs after ingestion of the first pill (at the end of the experimental session). <br> - VAS.csv This file contains data from the Visual Analogue Scale, in which several subjective states are recorded. This questionaire was filled in at the same time as the physiological measurements (thus 3 times per experimental session. <br> - task_order.xlsx Shows order of behavioral tasks for each participant. Note that participants 21 en 28 did not complete all sessions of the experiment and have thus been excluded from all analyses. <br> - drug_order.xlsx Shows order of drug administration for each participant. <br> <br> edit 29-11-2023: task_order.xlsx and drug_order.xlsx added. <br>
DOI: 10.21942/uva.24624318.v2
title: Physiological and subjective experience data

description: This dataset contains four files. Below is a description of these files. <br> - physiology.csv Contains physiological measurements of each experimental session and on three points in time during a session. Specifically, heart rate and blood pressure were measured 1) before ingestion of the first pill, 2) ~4hrs after ingestion of the first pill (right before onset of 1st behavioral task), and 3) ~7hrs after ingestion of the first pill (at the end of the experimental session). <br> - VAS.csv This file contains data from the Visual Analogue Scale, in which several subjective states are recorded. This questionaire was filled in at the same time as the physiological measurements (thus 3 times per experimental session. <br> - task_order.xlsx Shows order of behavioral tasks for each participant. Note that participants 21 en 28 did not complete all sessions of the experiment and have thus been excluded from all analyses. <br> - drug_order.xlsx Shows order of drug administration for each participant. <br> <br> edit 29-11-2023: task_order.xlsx and drug_order.xlsx added. <br>
DOI: 10.21942/uva.24624318.v1
title: Physiological and subjective experience data

description: This dataset contains two files. The first contains physiological measurements of each experimental session and on three points in time during a session. Specifically, heart rate and blood pressure were measured 1) before ingestion of the first pill, 2) ~4hrs after ingestion of the first pill (right before onset of 1st behavioral task), and 3) ~7hrs after ingestion of the first pill (at the end of the experimental session). The other file contains data from the Visual Analogue Scale, in which several subjective states are recorded. This questionaire was filled in at the same time as the physiological measurements (thus 3 times per experimental session.
DOI: 10.18465/4c0bc1a7-77b5-49ba-96dd-d0b9095ff28e
title: MNT Guérinière 2022

description: Modèle Numérique de Terrain obtenu par LiDAR sur la côte vendéenne au niveau de la Guérinière
DOI: 10.5281/zenodo.10215986
title: Bias Corrected and Gap Filled Sentinel-1 and University of Arizona Snow Depth Data
DOI: 10.5281/zenodo.10215985
title: Bias Corrected and Gap Filled Sentinel-1 and University of Arizona Snow Depth Data
DOI: 10.18465/b95f21c9-67ae-46bf-8612-72335a2c97ca
title: MNS Guérinière 2022

description: Modèle Numérique de Surface obtenu par LiDAR sur la côte vendéenne au niveau de la Guérinière
DOI: 10.21227/x2qg-xe37
title: Anonymized_COCO

description: This dataset has been specially curated to demonstrate various image anonymization techniques for protecting privacy-sensitive areas. Gaussian blurring is used to selectively blur parts of the image, creating a blend of the original and blurred visuals. The pixelation process reduces the image to small pixel blocks and then resizes them back to their original dimensions, creating a pixelated appearance in designated areas. Distortion is implemented through elastic deformation, adding displacement fields generated by combining a Gaussian filter with a uniform random field to the image. Finally, the mask-out technique replaces critical privacy areas with a white mask, effectively erasing those parts of the image. These methods are particularly applied to the vehicle and person classes in the COCO dataset, underscoring their significance in the field of image-based privacy protection.
DOI: 10.5519/qd.orrjjpak
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (16 records)
DOI: 10.5281/zenodo.10216197
title: Ship-to-Shore Artificial Instances

description: This data set contains artificial instances for the Ship-to-Shore problem.
The output files contain the best found solutions found in:"Exact and Heuristic Approaches for the Ship-to-Shore Problem" by Mette Wagenvoort, Paul Bouman, Martijn van Ee, Tim Lamballais-Tessensohn, and Krzysztof Postek.
DOI: 10.5281/zenodo.10216198
title: Ship-to-Shore Artificial Instances

description: This data set contains artificial instances for the Ship-to-Shore problem.
The output files contain the best found solutions found in:"Exact and Heuristic Approaches for the Ship-to-Shore Problem" by Mette Wagenvoort, Paul Bouman, Martijn van Ee, Tim Lamballais-Tessensohn, and Krzysztof Postek.
DOI: 10.22029/jlupub-47
title: Supplemental Material for "Single-step GBLUP genetic parameter estimations and genome-wide associations for milk fatty acid profiles, interval from calving to first insemination and ketosis in Holstein cattle"

description: The dataset includes supplementary table S1 and figures S1-S2 for the manuscript "Single-step GBLUP genetic parameter estimations and genome-wide associations for milk fatty acid profiles, interval from calving to first insemination and ketosis in Holstein cattle" accepted for publication in the Journal of Dairy Science.
DOI: 10.22029/jlupub-73
title: Raw Genotype Data for "Unravelling Admixture, Inbreeding and Recent Selection Signatures in West-African Indigenous Cattle Populations in Benin"
title: Sèyi Fridaïus Ulrich Vanvanhossou

description: The data presented here are genotype data generated and exploited for different analyses in our study entitled "Unravelling Admixture, Inbreeding and Recent Selection Signatures in West-African Indigenous Cattle Populations in Benin" The folders are organized from 1. to 4. following the order in which the data were generated (from our own data to the extended datasets). In each folder, a README file provides an extensive description of the dataset, the number of variants and animals, the breeds, the statistical analyses and further references.
DOI: 10.22029/jlupub-39
title: Data for "The µDose-system: determination of environmental dose rates by combined alpha and beta counting – performance tests and practical experiences"
DOI: 10.22029/jlupub-52
title: Identification of candidate genes on the basis of SNP by time-lagged heat stress interactions for milk production traits in German Holstein cattle

description: lact_yield_1lact_275.dat: the file contains lactation production traits (first row shows the column names) cowproduction_geno_blupf90.dat: the file contains test-day production traits and somatic cell score (first row shows the column names) KUHL_genotypen1612.txt_clean: genotypes Kuhl_blupf90.map_clean: map file of the SNP
DOI: 10.22029/jlupub-486
title: Supplemental Figures for "Genome-wide associations for heat stress response infer potential candidate genes underlying milk fatty acid composition in dairy cattle"
title: Genome-wide association studies for milk fatty acid traits in dairy cattle

description: The data are supplementary materials for the research article "Genome-wide associations for heat stress response infer potential candidate genes underlying milk fatty acid composition in dairy cattle" The objective of this study was to define FA heat stress indicators, considering FA breeding values in response to temperature-humidity index (THI) alterations. Genome-wide association studies (GWAS) were conducted to annotate potential candidate genes for FA traits under different climate conditions. The phenotypic dataset consisted of 39,600 test-day milk FA records from 5,757 first-lactation Holstein dairy cows. The FA traits were C18:0, poly-unsaturated fatty acids (PUFA), saturated fatty acids (SFA) and unsaturated fatty acids (UFA). Meteorological data from the weather station in closest herd distance were used for the calculation of maximum hourly daily THI. The Supplementary Materials include two Figures: Figure S1. Manhattan plot of -log10 P-values of the tested SNP markers for C18:0 (A), poly-unsaturated fatty acids (B), saturated fatty acids (C) and unsaturated fatty acids (D) in different lactation stages under thermoneutral conditions (TNC), under heat stress conditions (HSC) and for heat stress response (HSR). The red dashed line is the significance threshold for the Bonferroni correction. Genomic estimated breeding values were used as pseudo-phenotypes. Figure S2. Supplemental Figure S2. Venn diagrams for the number of significant SNP markers and genes associated with heat stress response overlapping across FA traits (A), associated with heat stress response for FA traits overlapping across lactation stages (B) and associated with FA traits overlapping across environmental conditions (C). Genomic estimated breeding values were used as pseudo-phenotypes. FA traits are C18:0, poly-unsaturated fatty acids (PUFA), saturated fatty acids (SFA) and unsaturated fatty acids (UFA). Lactation stages are the first (S1), the second (S2) and the third (S3) stages. Environmental conditions are thermoneutral conditions (TNC), heat stress conditions (HSC) and heat stress response (HSR).
DOI: 10.26165/juelich-data/lgrhuh
title: Spectroscopy Data and Model Parameters for: Observation of Josephson Harmonics in Tunnel Junctions

description: This repository contains the spectroscopy data and the model parameters along with a Jupyter notebook that demonstrates how to diagonalize the transmon-resonator Hamiltonians using tensorflow, verify the model parameters, and reproduce some of the figures from the corresponding paper.
DOI: 10.18465/41cd9ed0-3566-4d1b-bcd9-0d376de3e810
title: MNT Guérinière 2022

description: Modèle Numérique de Terrain obtenu par LiDAR sur la côte vendéenne au niveau de la Guérinière
DOI: 10.5281/zenodo.10117707
title: Identifying Spatial Co-occurrence in Healthy and InflAmed tissues (ISCHIA)

description: Integrated IBD scRNASeq reference: Seurat object and cell type markers. 
Molecular Cartography (Resolve) data data of human colon samples. 6 ulcerative colitis colon resections: 3 inflamed, 3 non-inflamed areas (4 patients in total). Segmented object (Seurat), and imaging data used for figures: B2-1 and C1-2 (healthy samples), C2-1 and C1-4 (inflamed samples) 
Visium (10X) spatial transcriptomics data of human colon samples. 4 ulcerative colitis colon resections: 2 inflamed, 2 non-inflamed areas (3 patients in total). 
Supplementary Table 1: positively co-occurring ligands and receptors in composition class 5.
DOI: 10.5281/zenodo.7636442
title: Identifying Spatial Co-occurrence in Healthy and InflAmed tissues (ISCHIA)

description: Integrated IBD scRNASeq reference: Seurat object and cell type markers. Molecular Cartography (Resolve) data data of human colon samples. 6 ulcerative colitis colon resections: 3 inflamed, 3 non-inflamed areas (4 patients in total). Segmented object (Seurat). Visium (10X) spatial transcriptomics data of human colon samples. 4 ulcerative colitis colon resections: 2 inflamed, 2 non-inflamed areas (3 patients in total). Supplementary Table 1: positively co-occurring lignads and receptors in composition class 5.
DOI: 10.18465/20c3d613-fc6a-466f-9733-84c9c8c55a7c
title: MNS Guérinière 2022

description: Modèle Numérique de Surface obtenu par LiDAR sur la côte vendéenne au niveau de la Guérinière
DOI: 10.5281/zenodo.7589581
title: Identifying Spatial Co-occurrence in Healthy and InflAmed tissues (ISCHIA)

description: Integrated IBD scRNASeq reference: Seurat object and cell type markers. 
Molecular Cartography (Resolve) data data of human colon samples. 6 ulcerative colitis colon resections: 3 inflamed, 3 non-inflamed areas (4 patients in total). Segmented object (Seurat), and imaging data used for figures: B2-1 and C1-2 (healthy samples), C2-1 and C1-4 (inflamed samples) 
Visium (10X) spatial transcriptomics data of human colon samples. 4 ulcerative colitis colon resections: 2 inflamed, 2 non-inflamed areas (3 patients in total). 
Supplementary Table 1: positively co-occurring ligands and receptors in composition class 5.
DOI: 10.5281/zenodo.7589582
title: Identifying Spatial Co-occurrence in Healthy and InflAmed tissues (ISCHIA)

description: Integrated IBD scRNASeq reference: Seurat object and cell type markers. Molecular Cartography (Resolve) data data of human colon samples. 6 ulcerative colitis colon resections: 3 inflamed, 3 non-inflamed areas (4 patients in total). Segmented object (Seurat). Visium (10X) spatial transcriptomics data of human colon samples. 4 ulcerative colitis colon resections: 2 inflamed, 2 non-inflamed areas (3 patients in total). Supplementary Table 1: positively co-occurring lignads and receptors in composition class 5.
DOI: 10.5281/zenodo.10216470
title: Dataset from publication "Predicting context-sensitive urban green space quality to support urban green infrastructure planning"

description: Data Description:
This dataset presents the spatial outcome of an analysis modelling perceived green space quality across the city of Espoo, Finland. The analysis relies on data gathered through the My Espoo on the Map survey (Mun Espoo kartalla) in the autumn of 2020 as part of the NordForsk-funded research project NORDGREEN. A comprehensive account of the analytical process and potential applications of the dataset is available in the associated publication, "Predicting context-sensitive urban green space quality to support urban green infrastructure planning" (open access: https://doi.org/10.1016/j.landurbplan.2023.104952).
Data Processing:
This dataset results from an analysis that integrates both primary and secondary sources of geospatial data. The primary data were collected with an online public participation GIS (PPGIS) survey directed for the adult inhabitants of Espoo. The data collection took place in September-October 2020 and was executed in collaboration with Aalto University and the City of Espoo. For a detailed overview of the data collection process, please refer to the related publication.
Data characteristics:
Format: Shapefile (50m x 50m grid)
Geographical area: Espoo, Finland
Spatial reference: EUREF FIN TM35FIN
Note: Only grid cells intersecting with greenspace have been included in the dataset. For the employed definition of green areas, please consult the related publication.
Data attributes and their descriptions:
"P_PROB": Probability (P), positive perceived quality
"N_PROB": Probability (P), negative perceived quality
Funding: 
This research was funded by NordForsk, Sustainable Urban Development and Smart Cities Programme, Project Smart Planning for Healthy and Green and Nordic Cities – NORDGREEN, under Grant Number: 95322.
DOI: 10.5281/zenodo.10216469
title: Dataset from publication "Predicting context-sensitive urban green space quality to support urban green infrastructure planning"

description: Data Description:
This dataset presents the spatial outcome of an analysis modelling perceived green space quality across the city of Espoo, Finland. The analysis relies on data gathered through the My Espoo on the Map survey (Mun Espoo kartalla) in the autumn of 2020 as part of the NordForsk-funded research project NORDGREEN. A comprehensive account of the analytical process and potential applications of the dataset is available in the associated publication, "Predicting context-sensitive urban green space quality to support urban green infrastructure planning" (open access: https://doi.org/10.1016/j.landurbplan.2023.104952).
Data Processing:
This dataset results from an analysis that integrates both primary and secondary sources of geospatial data. The primary data were collected with an online public participation GIS (PPGIS) survey directed for the adult inhabitants of Espoo. The data collection took place in September-October 2020 and was executed in collaboration with Aalto University and the City of Espoo. For a detailed overview of the data collection process, please refer to the related publication.
Data characteristics:
Format: Shapefile (50m x 50m grid)
Geographical area: Espoo, Finland
Spatial reference: EUREF FIN TM35FIN
Note: Only grid cells intersecting with greenspace have been included in the dataset. For the employed definition of green areas, please consult the related publication.
Data attributes and their descriptions:
"P_PROB": Probability (P), positive perceived quality
"N_PROB": Probability (P), negative perceived quality
Funding: 
This research was funded by NordForsk, Sustainable Urban Development and Smart Cities Programme, Project Smart Planning for Healthy and Green and Nordic Cities – NORDGREEN, under Grant Number: 95322.
DOI: 10.25597/vk4j-g435
title: Replication material for:  Nachtwey, O., & Seidl, T. (2023). The Solutionist Ethic and the Spirit of Digital Capitalism. Theory, Culture & Society, 0(0). https://doi.org/10.1177/02632764231196829
DOI: 10.18465/11ef0791-b59f-491e-ac27-ad58cdeceac7
title: MNT Noirmoutier en l'Ile 2022

description: Modèle Numérique de Terrain obtenu par LiDAR sur la côte vendéenne au niveau de Noirmoutier en l'Ile