cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5205514
title: seNorge/RR: daily total precipitation amounts over Norway

description: seNorge_2018 is a collection of observational gridded datasets for several near surface variables. This is the dataset of daily total precipitation amount (RR and RRa) for the 66-year period 1957-2022. RR is the daily total amount of precipitation (precipitation day definition: yesterday at 06 UTC / today at 06 UTC). RRa is the daily total amount of precipitation without adjustment for the wind undercatch. The grid spacing is 1 km. The data sources are: the Norwegian Meteorological Institute Climate Database, the Swedish Meteorological and Hydrological Institute Open Data API, the Finnish Meteorological Institute open data API and the European Climate Assessment & Dataset (www.ecad.eu). See also: https://github.com/metno/seNorge_docs/wiki/seNorge_2018
description: MET Norway open data are licensed under Norwegian Licence for Open Government Data (NLOD) or a Creative Commons Attribution 4.0 International License at your preference. Credit should be given to The Norwegian Meteorological institute, shortened "MET Norway", as the source of data. License https://www.met.no/en/free-meteorological-data/Licensing-and-crediting
DOI: 10.5281/zenodo.10101446
title: GP ensemble of neutron star equations of state

description: GP ensemble of neutron star equations of state used in arXiv:2303.11356
DOI: 10.5281/zenodo.10101447
title: GP ensemble of neutron star equations of state

description: GP ensemble of neutron star equations of state used in arXiv:2303.11356
DOI: 10.6084/m9.figshare.24297112
title: Supplementary Material for: Correlation of Neuroendocrine Differentiation with A Distinctively Suppressive Immune Microenvironment in Gastric Cancer

description: Introduction Neuroendocrine neoplasms (NENs) harbored significantly suppressive tumor immune microenvironments (TIMEs). However, the immunological effects of neuroendocrine differentiation (NED) on non-NE neoplasms, such as gastric cancer (GC), were unknown. Methods Between pure gastric cancer (PGC) and GC-NED, TIME features were scored based on expression data and validated on serial whole-tissue sections of surgical samples, with tertiary lymphoid structures (TLSs) and the extra-TLS zone evaluated independently using multi-marker immunohistochemical staining. Risk analyses of TIME features on tumor behaviors were performed in GC-NED. The universal immunological effects of NED were explored preliminarily in adenocarcinomas arising in other organs. Results Based on over 11,500 annotated TLSs and 2,700 extra-TLS zones, compared with PGC, GC-NED harbored a distinctively more suppressive TIME characterized by increased but immature TLSs, with higher naïve B cell and follicular regulatory T cell densities and downregulated TLS maturation-related cell ratios inside TLSs; increased naïve B cell and regulatory T cell densities and a high proportion of exhausted T cells in the extra-TLS zone. The upregulated tumor PD-L1 expression and its close correlations with TLS formation and maturation were remarkable exclusively in GC-NED. TIME features, especially those regarding TLSs, were significantly correlated with tumor growth and invasion. The desynchrony between TLS formation and maturation and increased naïve or regulatory immune cell infiltration was observed in adenocarcinomas of the colorectum, pancreas, lung, and prostate. Conclusion NED highlighted a distinct GC entity with more suppressive TIME features correlated with tumor behaviors, indicating a cohort that would benefit more from immunotherapies.
DOI: 10.6084/m9.figshare.24297112.v1
title: Supplementary Material for: Correlation of Neuroendocrine Differentiation with A Distinctively Suppressive Immune Microenvironment in Gastric Cancer

description: Introduction Neuroendocrine neoplasms (NENs) harbored significantly suppressive tumor immune microenvironments (TIMEs). However, the immunological effects of neuroendocrine differentiation (NED) on non-NE neoplasms, such as gastric cancer (GC), were unknown. Methods Between pure gastric cancer (PGC) and GC-NED, TIME features were scored based on expression data and validated on serial whole-tissue sections of surgical samples, with tertiary lymphoid structures (TLSs) and the extra-TLS zone evaluated independently using multi-marker immunohistochemical staining. Risk analyses of TIME features on tumor behaviors were performed in GC-NED. The universal immunological effects of NED were explored preliminarily in adenocarcinomas arising in other organs. Results Based on over 11,500 annotated TLSs and 2,700 extra-TLS zones, compared with PGC, GC-NED harbored a distinctively more suppressive TIME characterized by increased but immature TLSs, with higher naïve B cell and follicular regulatory T cell densities and downregulated TLS maturation-related cell ratios inside TLSs; increased naïve B cell and regulatory T cell densities and a high proportion of exhausted T cells in the extra-TLS zone. The upregulated tumor PD-L1 expression and its close correlations with TLS formation and maturation were remarkable exclusively in GC-NED. TIME features, especially those regarding TLSs, were significantly correlated with tumor growth and invasion. The desynchrony between TLS formation and maturation and increased naïve or regulatory immune cell infiltration was observed in adenocarcinomas of the colorectum, pancreas, lung, and prostate. Conclusion NED highlighted a distinct GC entity with more suppressive TIME features correlated with tumor behaviors, indicating a cohort that would benefit more from immunotherapies.
DOI: 10.6084/m9.figshare.24487915
title: Supplementary Material for: Biomarkers of Autologous Whole Blood Injection Efficacy in Patients with Chronic Spontaneous Urticaria with Autoreactivity: A Preliminary Study

description: Introduction: Chronic Spontaneous urticaria (CSU) with autoreactivity is often resistant to antihistamines. Autologous whole blood injection (AWBI) has shown potential efficacy in the treatment of this disease, but it is controversial. It is necessary to screen patients who are suitable for this therapy in advance. This study aimed to identify biomarkers that predict the efficacy of AWBI treatment in CSU patients with autoreactivity. Methods: A total of 30 patients with autologous serum skin test (ASST) -positive CSU treated with AWBI were included in this study, Urticaria activity score (UAS7) was recorded and the treatment response was judged based on it. Levels of total serum IgE, anti-high-affinity IgE receptor (FcεRI) IgG, and basophils CD63 and FcεRI expressions, and D-dimer of all patients were determined and analysed. Results: Baseline levels of total IgE, D-dimer, basophil FcεRI and CD63 expressions showed good correlations with UAS7 variations. D-dimer, basophil FcεRI and CD63 expressions changed significantly before and after AWBI treatment in AWBI responders, and the basophil FcεRI and CD63 expressions consistently and dynamically decreased in AWBI responders during the treatment. Baseline levels total IgE, D-dimer, basophil FcεRI and CD63 expressions showed certain predictive values for AWBI response. Conclusions: Baseline levels of total IgE, D-dimer, basophil FcεRI and CD63 expressions could be biomarkers of predicting AWBI efficacy in patients with CSU with autoreactivity.
DOI: 10.5281/zenodo.10089786
title: Offshore wind farms low-trophic aquaculture multi-use potential: Spatial data
DOI: 10.5281/zenodo.10089785
title: Offshore wind farms low-trophic aquaculture multi-use potential: Figure data
DOI: 10.5281/zenodo.10103863
title: Offshore wind farms low-trophic aquaculture multi-use potential: Figure data
DOI: 10.25502/jvcf-jq21/d
title: Genotypic data for 216 maize inbred lines for diversity studies

description: Genotypic data for 216 early, extra-early, intermediate and late maturing  maize inbred lines for diversity studies.
DOI: 10.25502/cjg0-3519/d
title: Genotypic data for 282 early maturing maize inbred lines for diversity studies

description: Genotypic data for  282 early maturing maize inbred lines for diversity studies.
DOI: 10.25502/pyng-x395/d
title: Genotypic data for 439 early and extra-early maturing maize lines for diversity studies

description: Genotypic data for 439 early and extra-early maturing maize lines for diversity.
DOI: 10.34740/kaggle/dsv/6938309
title: Temperature and humidity
DOI: 10.5258/soton/d2676
title: Dataset supporting the University of Southampton Doctoral Thesis "Identification of the mechanical behaviour of bone using digital image correlation and the virtual fields method".

description: This dataset is supporting the University of Southampton Doctoral Thesis "Identification of the mechanical behaviour of bone using digital image correlation and the virtual fields method". This dataset contains: -The Folder 'GF' - contains images captured from the two cameras (C0, C1) during experiments on glass-fibre epoxy composites. The images are processed with MatchID software. The processing options are stored in the files 'C0.mti' and 'C1.mti', for the cameras C0 and C1, respectively. The file 'image.csv' contains the name of each pair of images, the time they were collected and the respective force at that time. (Chapter 5). - The Folder 'Bone' - contains images captured from the two cameras (C0, C1) during experiments on human cortical bone samples. The images are processed with MatchID software. The processing options are stored in the files 'C0.mti' and 'C1.mti', for the cameras C0 and C1, respectively. The file 'image.csv' contains the name of each pair of images, the time they were collected and the respective force at that time. (Chapter 6) -The file 'OffAxis_VFM.m' - contains the MatLab VFM code, which is used in Chapters 4-6.
DOI: 10.5281/zenodo.10069579
title: Pathogen Transmission Ontology: October 2022 Release

description: This release includes a minor update identifying the ontology root term. The 32 pathogen transmission terms, all with definitions, remain unchanged.
DOI: 10.5281/zenodo.10069580
title: Pathogen Transmission Ontology: October 2022 Release

description: This release includes a minor update identifying the ontology root term. The 32 pathogen transmission terms, all with definitions, remain unchanged.
DOI: 10.6084/m9.figshare.24542725
title: Data from the study from Cellular and molecular signatures of motherhood in the adult and ageing rat brain

description: Data used for this publication
DOI: 10.6084/m9.figshare.24542725.v1
title: Data from the study from Cellular and molecular signatures of motherhood in the adult and ageing rat brain

description: Data used for this publication
DOI: 10.57995/d025-gj18
title: Adult females sampling

description: Seals accumulate large amount of fat in the subcutaneous adipose tissue, which undergoes massive changes during their breeding season. Morphometric data were collected from grey seal mothers at early and late lactation.   

The data were collected as part of the PhD project "Characterising fat tissue structure and function in response to hypoxia in grey seals, an animal model of extreme fat deposition and mobilisation, using novel in vivo and in vitro approaches".
DOI: 10.5281/zenodo.10103986
title: Catálogo de Normativa IEC Publicada desde el 01-01-2015 hasta el 10-11-2023

description: Catálogo completo de normas vigentes de la IEC desde el periodo de tiempo escogido del 01/01/2015 hasta el 10/11/2023 fecha que se ejecuto el script para la práctica.
DOI: 10.5281/zenodo.10103985
title: Catálogo de Normativa IEC Publicada desde el 01-01-2015 hasta el 10-11-2023

description: Catálogo completo de normas vigentes de la IEC desde el periodo de tiempo escogido del 01/01/2015 hasta el 10/11/2023 fecha que se ejecuto el script para la práctica.
DOI: 10.5281/zenodo.10103355
title: Comparing plasma and skin imprint metabolic profiles in COVID-19 diagnosis and severity assessment_dataset

description: As SARS-CoV-2 continues to produce new variants, the demand for diagnostics and a better understanding of COVID-19 remain key topics in healthcare. Skin manifestations have been widely reported in cases of COVID-19, but the mechanisms and markers of these symptoms are poorly described. In this cross-sectional study, 101 patients (64 COVID-19 positive patients and 37 controls) were enrolled between April and June 2020, during the first wave of COVID-19, in São Paulo, Brazil. Enrolled patients had skin imprints sampled non-invasively using silica plates; plasma samples were also collected. Samples were used for untargeted lipidomics/metabolomics through high-resolution mass spectrometry. We identified 558 molecular ions, with lipids comprising most of them. We found 245 plasma ions that were significant for COVID-19 diagnosis, compared to 61 from the skin imprints. Plasma samples outperformed skin imprints in distinguishing patients with COVID-19 from controls, with F1-scores of 91.9% and 84.3%, respectively. Skin imprints were excellent for assessing disease severity, exhibiting an F1-score of 93.5% when discriminating between patient hospitalization and home care statuses. Specifically, oleamide and linoleamide were the most discriminative biomarkers for identifying hospitalized patients through skin imprinting, and palmitic amides and N-acylethanolamine 18:0 were also identified as significant biomarkers. These observations underscore the importance of primary fatty acid amides and N-acylethanolamines in immunomodulatory processes and metabolic disorders. These findings confirm the potential utility of skin imprinting as a valuable non-invasive sampling method for COVID-19 screening; a method that may also be applied in the evaluation of other medical conditions.
Journal of Molecular Medicine https://doi.org/10.1007/s00109-023-02396-3
DOI: 10.5281/zenodo.10103356
title: Comparing plasma and skin imprint metabolic profiles in COVID-19 diagnosis and severity assessment_dataset

description: As SARS-CoV-2 continues to produce new variants, the demand for diagnostics and a better understanding of COVID-19 remain key topics in healthcare. Skin manifestations have been widely reported in cases of COVID-19, but the mechanisms and markers of these symptoms are poorly described. In this cross-sectional study, 101 patients (64 COVID-19 positive patients and 37 controls) were enrolled between April and June 2020, during the first wave of COVID-19, in São Paulo, Brazil. Enrolled patients had skin imprints sampled non-invasively using silica plates; plasma samples were also collected. Samples were used for untargeted lipidomics/metabolomics through high-resolution mass spectrometry. We identified 558 molecular ions, with lipids comprising most of them. We found 245 plasma ions that were significant for COVID-19 diagnosis, compared to 61 from the skin imprints. Plasma samples outperformed skin imprints in distinguishing patients with COVID-19 from controls, with F1-scores of 91.9% and 84.3%, respectively. Skin imprints were excellent for assessing disease severity, exhibiting an F1-score of 93.5% when discriminating between patient hospitalization and home care statuses. Specifically, oleamide and linoleamide were the most discriminative biomarkers for identifying hospitalized patients through skin imprinting, and palmitic amides and N-acylethanolamine 18:0 were also identified as significant biomarkers. These observations underscore the importance of primary fatty acid amides and N-acylethanolamines in immunomodulatory processes and metabolic disorders. These findings confirm the potential utility of skin imprinting as a valuable non-invasive sampling method for COVID-19 screening; a method that may also be applied in the evaluation of other medical conditions.
Journal of Molecular Medicine https://doi.org/10.1007/s00109-023-02396-3
DOI: 10.5281/zenodo.10103471
title: Sampling framework for the common breeding bird survey in Flanders, Belgium

description: The sampling framework is based on 1 x 1 km UTM squares in Flanders. We determined the landscape composition of every square at the start of the survey in 2007. The Biological Valuation Map (Vriens et al., 2011) served as the basis for the landscape composition.
The file contains the following fields

`UTM`: the UTM code of the square
`Stratum`: the stratum assigned to the square
`Oppervlakte`: the surface area of the square (in km²) contained within Flanders.
`Landbouw`: the fraction of aggriculture land use within `Oppervlakte`.
`Urbaan`: the fraction of urban land use within `Oppervlakte`.
`Bos`: the fraction of forest land use within `Oppervlakte`.
`Suburbaan`: the fraction of suburban land use within `Oppervlakte`.
`HeideDuin`: the fraction of heather or dunes land use within `Oppervlakte`.
`MoerasWater`: the fraction of heather or dunes land use within `Oppervlakte`.
We distinguish six different strata based on the rules below.

`Landbouw`: at least 80% `Landbouw`.
`Urbaan`: at least 80% `Urbaan`.
`Bos`: at least 80% `Bos`.
`Suburbaan`: at least 80% `Suburbaan`.
`Heide en duin`: at least 20% `HeideDuin`.
`Moeras en water`: at least 20% `MoerasWater`.
References
Vriens L., Bosch H., De Knijf G., De Saeger S., Guelinckx R., Oosterlynck P., Van Hove M. & Paelinckx D. (2011). De biologische waarderingskaart: biotopen en hun verspreiding in vlaanderen en het Brussels Hoofdstedelijk Gewest. Mededelingen van het Instituut voor Natuur- en Bosonderzoek, Nr. INBO.M.2011.1. Instituut voor Natuur- en Bosonderzoek, België.
DOI: 10.5281/zenodo.10103472
title: Sampling framework for the common breeding bird survey in Flanders, Belgium

description: The sampling framework is based on 1 x 1 km UTM squares in Flanders. We determined the landscape composition of every square at the start of the survey in 2007. The Biological Valuation Map (Vriens et al., 2011) served as the basis for the landscape composition.
The file contains the following fields

`UTM`: the UTM code of the square
`Stratum`: the stratum assigned to the square
`Oppervlakte`: the surface area of the square (in km²) contained within Flanders.
`Landbouw`: the fraction of aggriculture land use within `Oppervlakte`.
`Urbaan`: the fraction of urban land use within `Oppervlakte`.
`Bos`: the fraction of forest land use within `Oppervlakte`.
`Suburbaan`: the fraction of suburban land use within `Oppervlakte`.
`HeideDuin`: the fraction of heather or dunes land use within `Oppervlakte`.
`MoerasWater`: the fraction of heather or dunes land use within `Oppervlakte`.
We distinguish six different strata based on the rules below.

`Landbouw`: at least 80% `Landbouw`.
`Urbaan`: at least 80% `Urbaan`.
`Bos`: at least 80% `Bos`.
`Suburbaan`: at least 80% `Suburbaan`.
`Heide en duin`: at least 20% `HeideDuin`.
`Moeras en water`: at least 20% `MoerasWater`.
References
Vriens L., Bosch H., De Knijf G., De Saeger S., Guelinckx R., Oosterlynck P., Van Hove M. & Paelinckx D. (2011). De biologische waarderingskaart: biotopen en hun verspreiding in vlaanderen en het Brussels Hoofdstedelijk Gewest. Mededelingen van het Instituut voor Natuur- en Bosonderzoek, Nr. INBO.M.2011.1. Instituut voor Natuur- en Bosonderzoek, België.
DOI: 10.4121/13007474.v4
title: First version of an Impact Aware Manipulation (I.AM.) archive

description: Update of the first version of an I.AM. archive. Changes with respect to the previous version are the file structure, metadata structure, and license.<br>This archive contains recordings of experiments that are executed under the scenario of TOSS. In these recordings, a UR10 robot is used to toss boxes on a conveyor belt. Thepurpose of these experiments is to validate a modeling framework. This modeling framework is used within the H2020 I.AM. project (www.i-am-project.eu) to predict the end pose of a certain box on a conveyor belt, after it is tossed.This means that the involved contact transitions are between the object and the environment, which in these recordings is a box and a conveyor. All the recordings in the archive were performed at the Innovation Lab of Vanderlande, located within the TU/e campus.
DOI: 10.57995/xrae-4541
title: Pups sampling and morphometric data

description: Seals accumulate large amount of fat in the subcutaneous adipose tissue, which undergoes massive changes during their breeding season. Morphometric data was collected from pups at early suckling, late suckling and early weaning.
DOI: 10.6084/m9.figshare.24542896
title: 20231111_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24542896.v1
title: 20231111_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24542767
title: IJGIS

description: Data for IJGIS
DOI: 10.6084/m9.figshare.24542767.v1
title: IJGIS

description: Data for IJGIS
DOI: 10.6084/m9.figshare.22572694.v1
title: PBMC scRNAseq Kang 2018, RDS dgCMatrix

description: RDS files contain "dgCMatrix" class objects for sparse raw counts of the downsampled datasets: GSE96583 (Kang et al, Nature Biotechnology, 2018) <br> These datasets are prepared primarily for the use of presenting LIGER integration method.
DOI: 10.34740/kaggle/dsv/6938503
title: Temperature and humidity
DOI: 10.5517/ccdc.csd.cc20nrgx
title: CCDC 1866989: Experimental Crystal Structure Determination

description: Related Article: Shivaji Narayan Khadake, Mosim Amin Pathan, Faiz Ahmed Khan|2023|Tetrahedron|148|133687|doi:10.1016/j.tet.2023.133687
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc23966v
title: CCDC 1945256: Experimental Crystal Structure Determination

description: Related Article: Shivaji Narayan Khadake, Mosim Amin Pathan, Faiz Ahmed Khan|2023|Tetrahedron|148|133687|doi:10.1016/j.tet.2023.133687
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20pv8v
title: CCDC 1868037: Experimental Crystal Structure Determination

description: Related Article: Shivaji Narayan Khadake, Mosim Amin Pathan, Faiz Ahmed Khan|2023|Tetrahedron|148|133687|doi:10.1016/j.tet.2023.133687
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29fcjn
title: CCDC 2128011: Experimental Crystal Structure Determination

description: Related Article: Shivaji Narayan Khadake, Mosim Amin Pathan, Faiz Ahmed Khan|2023|Tetrahedron|148|133687|doi:10.1016/j.tet.2023.133687
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b5f21
title: CCDC 2150162: Experimental Crystal Structure Determination

description: Related Article: Lothar Fink|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.