cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7962742
title: Trained CNN for analysis of melanoma whole slide images to automatically assess the infiltration of TILs

description: The file is the trained convolutional neural network (CNN) developed in "Ugolini F et al.Tumor infiltrating lymphocytes recognition in primary melanoma by deep learning convolutional neural network" submitted to American Journal of Pathology (2023). The CNN is based on a a pre-trained Inception-ResNet-v2 to automatically to recognize areas in the tumor region containing TILs and area without TILs in histopathological digitalized slides of primary melanoma. The file is in a Matlab format (.mat).
DOI: 10.5281/zenodo.7962741
title: Trained CNN for analysis of melanoma whole slide images to automatically assess the infiltration of TILs

description: The file is the trained convolutional neural network (CNN) developed in "Ugolini F et al.Tumor infiltrating lymphocytes recognition in primary melanoma by deep learning convolutional neural network" submitted to American Journal of Pathology (2023). The CNN is based on a a pre-trained Inception-ResNet-v2 to automatically to recognize areas in the tumor region containing TILs and area without TILs in histopathological digitalized slides of primary melanoma. The file is in a Matlab format (.mat).
DOI: 10.34740/kaggle/dsv/5753245
title: Weather Data of Pune,Maharashtra,India.(2008-2022)
DOI: 10.6084/m9.figshare.22692553.v1
title: Supplementary Material for: IL-1β derived Th17 immune responses are a critical factor for neutrophilic-eosinophilic airway inflammation on psychological stress-induced immune tolerance breakdown in mice

description: Introduction: Asthma is an inflammatory reaction mediated by type 2 helper T (Th2) cells and is known to increase eosinophil levels. Our previous study showed that stress-related asthma can cause neutrophilic and eosinophilic airway inflammation by suppressing immune tolerance. However, the mechanism of stress-induced neutrophilic and eosinophilic airway inflammation remains unclear. Therefore, to elucidate the cause of neutrophilic and eosinophilic inflammation, we investigated the immune response during the induction of airway inflammation. In addition, we focused on the relationship between immune response modulation immediately after stress exposure and the development of airway inflammation. Methods: Asthmatic mice were induced by three phases using Female BALB/c mice. During the first phase, the mice were made to inhale ovalbumin (OVA) to induce immune tolerance before sensitization. Some mice were exposed to restraint stress during the induction of immune tolerance. In the second phase, the mice were sensitized with OVA/alum intraperitoneal injections. In the final phase, onset of asthma was induced through OVA exposure. Asthma development was evaluated based on airway inflammation and T-cell differentiation. Microarray and qPCR analyses were used to enumerate candidate factors to investigate the starting point of immunological modification immediately after stress exposure. Furthermore, we focused on interleukin-1β (IL-1β), which initiates these immune modifications, and performed experiments using its receptor blocker interleukin-1 receptor antagonist (IL-1RA). Results: Stress exposure during immune tolerance induction increased eosinophil and neutrophil airway infiltration. This inflammation was associated with decreased T regulatory cell levels and increased Th2 and Th17 levels in bronchial lymph node cells. Microarray and qPCR analyses showed that the initiation of Th17 differentiation might be triggered by stress exposure during tolerance induction. IL-1RA administration during stress exposure suppressed neutrophilic and eosinophilic airway inflammation via Th17 reduction and Treg increase. Discussion/Conclusions: Our results show that psychological stress causes both eosinophilic and neutrophilic inflammatory responses due to the breakdown of immune tolerance. Furthermore, stress-induced inflammation can be abolished using IL-1RA.
DOI: 10.5281/zenodo.7962781
title: membrna data

description: raw data rna-only simulation
DOI: 10.5281/zenodo.7962780
title: membrna data

description: raw data rna-only simulation
DOI: 10.6092/1a4f994d-ec80-46fe-9e28-f27cca4a1006
title: European beach litter standardized, harmonized and validated datasets 2001/2018 v2019

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The dataset contains standardized, harmonized and validated data collections from beach litter (official monitoring and other sources). Datasets concerning beach and seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators. For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter data, including 6396 CDI records, in which 6199 refer monitoring data and 197 to other sources (cleaning and research). The temporal range for monitoring data is from 2001-01-01 to 2018-07-26 and include data from 350 beaches. For data from other sources, the temporal range is from 2014-05-10 to 2017-05-12 and include 189 beaches. EMODnet beach litter data and databases are hosted and maintained by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC) from Italy. Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: http://www.emodnet-chemistry.eu/documents/projectdocuments. The updated lists of admitted values are available in http://www.emodnet-chemistry.eu/lists/beach. The harmonized datasets can be downloaded as EMODnet Beach litter data format Version 1.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter. The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.13120/q6t1-2r39
title: European floating micro-litter standardized, harmonized and validated datasets 2011/2020 v2021

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. These datasets contain standardized, harmonized and validated data collections of floating micro-litter.<br> For floating micro-litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on floating micro-litter data, including 907 CDI records. The temporal range covered is from 2011-06-14 to 2020-12-02. Data was harmonized by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)’ from Italy.<br> Data is formatted following Guidelines and formats for gathering and management of micro-litter data sets on a European scale (floating and sediment micro-litter), which can be found at: https://www.emodnet-chemistry.eu/about/documents. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: https://vocab.seadatanet.org/p01-facet-search . Each measurement value has a quality flag indicator. The resulting data collections are harmonized, using ODV Software and following a common methodology for all Sea Regions.<br> Harmonization means that: (1) unit conversion is carried out to express variables with a limited set of measurement units and (2) merging of variables described by different “local names”, but corresponding exactly to the same concepts in BODC P01 vocabulary.<br> Version 1.1, updated on 2022-03-23.<br> The harmonized dataset can be downloaded as ODV collection and spreadsheet (TXT file), which is composed of a metadata header followed by tab separated values. Both formats can be opened with ODV Software for visualization (More information can be found at: https://www.seadatanet.org/Software/ODV ).<br> The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
DOI: 10.6092/dd00c70e-73be-4faa-aab0-0d5f7a438d5e
title: European seafloor litter standardized, harmonized and validated datasets 2006/2018 v2019

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The datasets contain standardized, harmonized and validated data collections from seafloor litter. Datasets concerning seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators. EMODnet seafloor litter data and database are hosted and maintained by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)’ from Italy. For seafloor litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on seafloor litter data, including 12438 CDI records. The temporal range covered is from 2006-10-01 to 2018-08-16. Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: http://www.emodnet-chemistry.eu/documents/projectdocuments. The harmonized datasets can be downloaded as EMODnet Sea-floor litter data format Version 1.0, which is a csv file, tab separated values. The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6084/m9.figshare.19164370
title: Automated external defibrillator and emergency action plan preparedness amongst masters athletes

description: Sudden cardiac arrest/death (SCA/D) is the leading medical cause of death in athletes. Masters athletes (≥35 years old) are increasing in numbers and are responsible for the vast majority of sport-related SCDs. Automated external defibrillators (AEDs) and emergency action plans (EAPs) have been shown to unequivocally reduce SCD, however, their prevalence in masters athletics remains unknown. We sought to identify the perceived AED accessibility and EAP preparedness amongst a group of masters athletes. A 40-item survey was sent to 735 master athletes identified through the Masters Athlete Screening Study. Participants were athletes with no known significant cardiac history. The survey inquired on the availability and location of AEDs within exercise settings, the presence of EAPs, and participants’ cardiac concerns. Sixty-eight percent of athletes completed the survey. Ninety-seven percent and 99% of athletes believed CPR and AEDs were effective at saving lives, respectively. Thirty-eight percent of athletes were aware of an AED in proximity to where they exercise, with 40% aware of one available during competition events, and 28% during training events. Only 10% of athletes were aware of an EAP active in their place of exercise. Half of the athletes perceive their risk of cardiac arrest during exercise to be ≤0.5 in 100,000. These findings indicate that nearly all athletes believe CPR and AED are effective at saving lives, but only a minority are aware of an AED near their place of exercise, with even fewer aware of an active EAP. Master athletes underestimate their own risk for exercise-related cardiac events, affirming the importance of educating masters athletes on their increased cardiac risk and the importance of EAPs.
DOI: 10.6084/m9.figshare.19164370.v1
title: Automated external defibrillator and emergency action plan preparedness amongst masters athletes

description: Sudden cardiac arrest/death (SCA/D) is the leading medical cause of death in athletes. Masters athletes (≥35 years old) are increasing in numbers and are responsible for the vast majority of sport-related SCDs. Automated external defibrillators (AEDs) and emergency action plans (EAPs) have been shown to unequivocally reduce SCD, however, their prevalence in masters athletics remains unknown. We sought to identify the perceived AED accessibility and EAP preparedness amongst a group of masters athletes. A 40-item survey was sent to 735 master athletes identified through the Masters Athlete Screening Study. Participants were athletes with no known significant cardiac history. The survey inquired on the availability and location of AEDs within exercise settings, the presence of EAPs, and participants’ cardiac concerns. Sixty-eight percent of athletes completed the survey. Ninety-seven percent and 99% of athletes believed CPR and AEDs were effective at saving lives, respectively. Thirty-eight percent of athletes were aware of an AED in proximity to where they exercise, with 40% aware of one available during competition events, and 28% during training events. Only 10% of athletes were aware of an EAP active in their place of exercise. Half of the athletes perceive their risk of cardiac arrest during exercise to be ≤0.5 in 100,000. These findings indicate that nearly all athletes believe CPR and AED are effective at saving lives, but only a minority are aware of an AED near their place of exercise, with even fewer aware of an active EAP. Master athletes underestimate their own risk for exercise-related cardiac events, affirming the importance of educating masters athletes on their increased cardiac risk and the importance of EAPs.
DOI: 10.13120/wgyh-sc94
title: European seafloor litter standardized, harmonized and validated datasets 2006/2021 v2021

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The datasets contain standardized, harmonized and validated data collections from seafloor litter.<br> Datasets concerning seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators.<br> EMODnet seafloor litter data and database are hosted and maintained by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)’ from Italy.<br> For seafloor litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on seafloor litter data, including 20877 CDI records. The temporal range covered is from 2006-10-01 to 2021-03-16.<br> Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://www.emodnet-chemistry.eu/about/documents. The updated vocabularies of admitted values are available at https://vocab.seadatanet.org/search or at https://vocab.ices.dk/ .<br> The harmonized datasets can be downloaded as EMODnet Sea-floor litter data format Version 1.0, which is a csv file, tab separated values.<br> The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
DOI: 10.6084/m9.figshare.23099054
title: IV-CV-PL-UPS-UVVIS raw data NM.7z

description: Current voltage characteristics of electron-only devices Cyclic Voltammetry data of organic compounds Photoluminescence and UV-VIS spectra UPS data of organic compounds
DOI: 10.6084/m9.figshare.23099054.v1
title: IV-CV-PL-UPS-UVVIS raw data NM.7z

description: Force fields used in density of states calculation
DOI: 10.6092/av67-qz53
title: European seas - DIVAnd 4D monthly analysis of Water body chlorophyll-a 1960/2020 v2021

description: Water body chlorophyll-a - Monthly Climatology for the European Seas for the period 1960-2020 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North.<br> Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.2, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length and vertical correlation length vary spatially depending on the topography and domain.<br> Depth range: 0.0, 5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 55.0, 60.0, 65.0, 70.0, 75.0, 80.0, 85.0, 90.0, 95.0, 100.0, 125.0, 150.0, 175.0, 200.0, 225.0, 250.0, 275.0, 300.0, 325.0, 350.0, 375.0, 400.0, 425.0, 450.0, 475.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0, 1450.0, 1500.0, 1550.0, 1600.0, 1650.0, 1700.0, 1750.0, 1800.0, 1850.0, 1900.0, 1950.0, 2000.0, 2100.0, 2200.0, 2300.0, 2400.0, 2500.0, 2600.0, 2700.0, 2800.0, 2900.0, 3000.0, 3100.0, 3200.0, 3300.0, 3400.0, 3500.0, 3600.0, 3700.0, 3800.0, 3900.0, 4000.0, 4100.0, 4200.0, 4300.0, 4400.0, 4500.0, 4600.0, 4700.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5300.0, 5400.0, 5500.0 m.<br> Units: mg/m3.<br> The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.
DOI: 10.6092/xjj3-7d14
title: European seas - DIVAnd 4D monthly analysis of Water body dissolved inorganic nitrogen (DIN) 1960/2020 v2021

description: Water body dissolved inorganic nitrogen (DIN) - Monthly Climatology for the European Seas for the period 1960-2020 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North.<br> Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.2, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length and vertical correlation length vary spatially depending on the topography and domain.<br> Depth range: 0.0, 5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 55.0, 60.0, 65.0, 70.0, 75.0, 80.0, 85.0, 90.0, 95.0, 100.0, 125.0, 150.0, 175.0, 200.0, 225.0, 250.0, 275.0, 300.0, 325.0, 350.0, 375.0, 400.0, 425.0, 450.0, 475.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0, 1450.0, 1500.0, 1550.0, 1600.0, 1650.0, 1700.0, 1750.0, 1800.0, 1850.0, 1900.0, 1950.0, 2000.0, 2100.0, 2200.0, 2300.0, 2400.0, 2500.0, 2600.0, 2700.0, 2800.0, 2900.0, 3000.0, 3100.0, 3200.0, 3300.0, 3400.0, 3500.0, 3600.0, 3700.0, 3800.0, 3900.0, 4000.0, 4100.0, 4200.0, 4300.0, 4400.0, 4500.0, 4600.0, 4700.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5300.0, 5400.0, 5500.0 m.<br> Units: umol/l.<br> The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.
DOI: 10.5281/zenodo.7962627
title: metabolism data

description: Sixty-one patients were enrolled from Xinqiao Hospital and Children’s Hospital of Chongqing Medical University (Feb. 2015 -Apr. 2022).
DOI: 10.5281/zenodo.7962626
title: metabolism data

description: Sixty-one patients were enrolled from Xinqiao Hospital and Children’s Hospital of Chongqing Medical University (Feb. 2015 -Apr. 2022).
DOI: 10.5519/qd.y963zdgy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1652 records)
DOI: 10.23728/b2share.50d7e4e6a7e44a988db3b2aa9bd73450
title: Gesäuse-Johnsbachtal - Austria, Nomenclature of territorial units for statistics

description: Nomenclature of territorial units for statistics of the Gesäuse-Johnsbachtal site
DOI: 10.6092/yepr-1a13
title: European seas - DIVAnd 4D monthly analysis of Water body dissolved oxygen concentration 1960/2020 v2021

description: Water body dissolved oxygen concentration - Monthly Climatology for the European Seas for the period 1960-2020 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North.<br> Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.2, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length and vertical correlation length vary spatially depending on the topography and domain.<br> Depth range: 0.0, 5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 55.0, 60.0, 65.0, 70.0, 75.0, 80.0, 85.0, 90.0, 95.0, 100.0, 125.0, 150.0, 175.0, 200.0, 225.0, 250.0, 275.0, 300.0, 325.0, 350.0, 375.0, 400.0, 425.0, 450.0, 475.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0, 1450.0, 1500.0, 1550.0, 1600.0, 1650.0, 1700.0, 1750.0, 1800.0, 1850.0, 1900.0, 1950.0, 2000.0, 2100.0, 2200.0, 2300.0, 2400.0, 2500.0, 2600.0, 2700.0, 2800.0, 2900.0, 3000.0, 3100.0, 3200.0, 3300.0, 3400.0, 3500.0, 3600.0, 3700.0, 3800.0, 3900.0, 4000.0, 4100.0, 4200.0, 4300.0, 4400.0, 4500.0, 4600.0, 4700.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5300.0, 5400.0, 5500.0 m.<br> Units: umol/l.<br> The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.
DOI: 10.5281/zenodo.7962820
title: Research data supporting: "TimeSOAP: Tracking high-dimensional fluctuations in complex molecular systems via time variations of SOAP spectra"

description: This repository contains the set of data shown in the paper <strong>"<em>Time</em>SOAP: Tracking high-dimensional fluctuations in complex molecular systems via time variations of SOAP spectra"</strong>, published on The Journal of Chemical Physics (DOI: 10.1063/5.0147025).
DOI: 10.5281/zenodo.7962819
title: Research data supporting: "TimeSOAP: Tracking high-dimensional fluctuations in complex molecular systems via time variations of SOAP spectra"

description: This repository contains the set of data shown in the paper <strong>"<em>Time</em>SOAP: Tracking high-dimensional fluctuations in complex molecular systems via time variations of SOAP spectra"</strong>, published on The Journal of Chemical Physics (DOI: 10.1063/5.0147025).