cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/cr6_eu6
title: Regional Reanalysis COSMO-REA6 - Standardised Parameters

description: Project: COSMO-REA6 Regional Reanalysis - The high-resolution reanalysis system COSMO-REA6 has been developed based on the NWP model COSMO in a cooperation between Hans-Ertel-Centre for Weather Research (HErZ) and the German Meteorological Service (DWD). Initially, COSMO-REA6 was produced for 1995-2014 at University of Bonn (https://reanalysis.meteo.uni-bonn.de/), Hans-Ertel-Centre for Weather Research (HErZ), see https://www.herz.uni-bonn.de/wordpress/. It was extended from 2015 onwards by DWD.

The DWD provides selected COSMO-REA6 output under https://opendata.dwd.de/climate_environment/REA/. The data provided via ESGF and WDCC underwent an additional CMIP/CORDEX-like standardisation ("CMORisation"), conducted in a cooperation between DKRZ and DWD within the OcMOD (Observations closer to MOdel Data) NFDI4Earth Pilot, and also comprises a different selection of parameters that was determined through a community survey (https://c6dreq.dkrz.de/files/ocmod_dreq.php). The CMORisation efforts within the NFDI4Earth Pilot were funded by the Deutsche Forschungsgemeinschaft (DFG - project number: 460036893).
Summary: The regional reanalysis system for Continental Europe matches the domain of the CORDEX EURO-11 specifications, albeit at a higher spatial resolution, i.e., 0.055° (6 km) instead of 0.11° (12 km). It comprises the assimilation of observational data using the existing nudging scheme of COSMO complemented by snow, SST and soil moisture analysis modules and uses ERA‐Interim data as lateral boundary conditions. The reanalysis data set covers the period 1995 to August 2019. Due to the end of production of the forcing global reanalysis ERA-Interim, COSMO-REA6 has also been discontinued. A second version of COSMO-REA6, labeled "R6G2", that uses the data of the global reanalysis ERA5 as lateral boundary conditions, is currently under development at DWD.
DOI: 10.25824/redu/qbljgh
title: Contribuir_com_arquivos_da_pandemia_questionário_redu_11.02.24.xlsx

description: :unav
DOI: 10.25824/redu/46ulo7
title: Contribuindo com arquivos da pandemia de COVID-19 na América Latina no Instagram (questionário)

description: A base de dados "Contribuindo com arquivos da pandemia de COVID-19 na América Latina no Instagram (questionário)" consiste nas respostas ao questionário "Contribuindo com arquivos da pandemia de COVID-19 na América Latina no Instagram". O questionário foi aplicado digitalmente para contribuidores de arquivos digitais da pandemia de COVID-19 latino-americanos encontrados na base de dados Coronarchive database (Disponível no Redu em: https://doi.org/10.25824/redu/TKYHCZ) sediados na plataforma Instagram entre 2023 e 2024. Todas as questões foram facultativas.
DOI: 10.6084/m9.figshare.16650176
title: Additional file 3 of Trophic level drives the host microbiome of soil invertebrates at a continental scale

description: Additional file 2. The detailed information for each sample (e.g. geographic location, sampling date, host classification), and the description of how our soil fauna samples correspond to each of the five fauna samples collected per site.
DOI: 10.6084/m9.figshare.16650176.v1
title: Additional file 3 of Trophic level drives the host microbiome of soil invertebrates at a continental scale

description: Additional file 2. The detailed information for each sample (e.g. geographic location, sampling date, host classification), and the description of how our soil fauna samples correspond to each of the five fauna samples collected per site.
DOI: 10.5517/ccdc.csd.cc2d1q7f
title: CCDC 2206184: Experimental Crystal Structure Determination

description: Related Article: Hiroki Tanikubo, Takumi Matsuo, Shotaro Hayashi|2024|J.Cryst.Growth|631|127595|doi:10.1016/j.jcrysgro.2024.127595
description: Related Article: Hiroki Tanikubo, Takumi Matsuo, Shotaro Hayashi|2023|Bull.Chem.Soc.Jpn.|96|178|doi:10.1246/bcsj.20220322
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: 10.5519/qd.8ef904ar
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.16650239.v1
title: Additional file 2 of RNA m6A demethylase FTO-mediated epigenetic up-regulation of LINC00022 promotes tumorigenesis in esophageal squamous cell carcinoma

description: Additional file 2: Suppl. Fig. 2 Pan-cancer analysis based on GEPIA database reveals the expression landscape of LINC00022 in human cancers. The comprehensive cancer database GEPIA was employed to investigate the expression landscape of LINC00022 in 28 types of cancer. (A) LINC00022 was significantly increased in cervical squamous carcinoma (CESC, 13 N vs. 306 T), lymphoid neoplasm diffused large B-cell lymphoma (DLBC, 337 N vs. 47 T), glioblastoma (GBM, 207 N vs. 163 T), skin cutaneous melanoma (SKCM, 558 N vs. 461 T), stomach adenocarcinoma (STAD, 211 N vs. 408 T) and thymoma (THYM, 339 N vs. 118 T), while decreased in testicular germ cell tumor (TGCT, 165 N vs. 137 T). (B-D) LINC00022 expression showed no significant differences between tumor samples and normal samples in adrenocortical carcinoma (ACC, 128 N vs. 77 T), bladder urothelial carcinoma (BLCA, 28 N vs. 404 T), breast cancer (BRCA, 291 N vs. 1085 T), cholangio carcinoma (CHOL, 9 N vs. 36 T), colon adenocarcinoma (COAD, 349 N vs. 275 T), head and neck squamous cell carcinoma (HNSC, 44 N vs. 519 T), kidney chromophobe (KICH, 53 N vs. 66 T), kidney renal clear cell carcinoma (KIRC, 100 N vs. 523 T), kidney renal papillary cell carcinoma (KIRP, 607 N vs. 286 T), acute myeloid leukemia (LAML, 707 N vs. 173 T), low grade glioma (LGG, 207 N vs. 518 T), liver hepatocellular carcinoma (LIHC, 160 N vs. 369 T), lung adenocarcinoma (LUAD, 347 N vs. 483 T), lung squamous cell carcinoma (LUSC, 338 N vs. 486 T), ovarian carcinoma (OV, 88 N vs. 426 T), pancreatic adenocarcinoma (PAAD, 171 N vs. 179 T), prostate adenocarcinoma (PRAD, 1521 N vs. 492 T), rectum adenocarcinoma (READ, 318 N vs. 92 T), thyroid carcinoma (THCA, 337 N vs. 512 T), uterine corpus rndometrial carcinoma (UCEC, 91 N vs. 174 T) and uterine carcinosarcoma (USC, 78 N vs. 57 T).
DOI: 10.34740/kaggle/dsv/7670387
title: Kenyan Recipes Dataset csv
DOI: 10.6084/m9.figshare.16650239
title: Additional file 2 of RNA m6A demethylase FTO-mediated epigenetic up-regulation of LINC00022 promotes tumorigenesis in esophageal squamous cell carcinoma

description: Additional file 2: Suppl. Fig. 2 Pan-cancer analysis based on GEPIA database reveals the expression landscape of LINC00022 in human cancers. The comprehensive cancer database GEPIA was employed to investigate the expression landscape of LINC00022 in 28 types of cancer. (A) LINC00022 was significantly increased in cervical squamous carcinoma (CESC, 13 N vs. 306 T), lymphoid neoplasm diffused large B-cell lymphoma (DLBC, 337 N vs. 47 T), glioblastoma (GBM, 207 N vs. 163 T), skin cutaneous melanoma (SKCM, 558 N vs. 461 T), stomach adenocarcinoma (STAD, 211 N vs. 408 T) and thymoma (THYM, 339 N vs. 118 T), while decreased in testicular germ cell tumor (TGCT, 165 N vs. 137 T). (B-D) LINC00022 expression showed no significant differences between tumor samples and normal samples in adrenocortical carcinoma (ACC, 128 N vs. 77 T), bladder urothelial carcinoma (BLCA, 28 N vs. 404 T), breast cancer (BRCA, 291 N vs. 1085 T), cholangio carcinoma (CHOL, 9 N vs. 36 T), colon adenocarcinoma (COAD, 349 N vs. 275 T), head and neck squamous cell carcinoma (HNSC, 44 N vs. 519 T), kidney chromophobe (KICH, 53 N vs. 66 T), kidney renal clear cell carcinoma (KIRC, 100 N vs. 523 T), kidney renal papillary cell carcinoma (KIRP, 607 N vs. 286 T), acute myeloid leukemia (LAML, 707 N vs. 173 T), low grade glioma (LGG, 207 N vs. 518 T), liver hepatocellular carcinoma (LIHC, 160 N vs. 369 T), lung adenocarcinoma (LUAD, 347 N vs. 483 T), lung squamous cell carcinoma (LUSC, 338 N vs. 486 T), ovarian carcinoma (OV, 88 N vs. 426 T), pancreatic adenocarcinoma (PAAD, 171 N vs. 179 T), prostate adenocarcinoma (PRAD, 1521 N vs. 492 T), rectum adenocarcinoma (READ, 318 N vs. 92 T), thyroid carcinoma (THCA, 337 N vs. 512 T), uterine corpus rndometrial carcinoma (UCEC, 91 N vs. 174 T) and uterine carcinosarcoma (USC, 78 N vs. 57 T).
DOI: 10.18742/25029173
title: Investigating parental perceptions of side effects following vaccination

description: Background: One of the major factors contributing to parental refusal of vaccinations is the perception that vaccines cause side effects. Although symptoms are commonly reported following vaccinations, their causes are not always straightforward. Although some may be directly attributable to the vaccine itself, others may reflect pre-existing or coincidental symptoms that are misattributed to the vaccine.Purpose: To investigate psychological factors associated with parental report of side effects following vaccination with the child influenza vaccine, parental intention to re-vaccinate one’s child the following year, and actual rates of re-vaccination.Methods: A prospective cohort study was run in primary care practices in London in the 2016–17 influenza season (ClinicalTrials.gov number NCT02909855). Two hundred seventy parents from 14 practices completed a questionnaire before their child’s vaccination. Follow-up questionnaires were completed 3 days after vaccination and one month after vaccination. Parental report of side effects and vaccination intention for the subsequent year were measured. Re-vaccination was measured at the end of the 2017-18 influenza season.Results: Parental report of side effects was strongly associated with pre-vaccination expectation of side effects. Suggestions received from the media, National Health Service (NHS) vaccination leaflet, and health care workers, as well as uncertainty-related beliefs, perceived sensitivity of the child to medicines, pessimism, and anxiety were also associated with reporting side effects. Side effect report was associated with lower vaccination intention for the following influenza season. Eighteen percent of children were not re-vaccinated for influenza in 2017/18. Parental report of severe side-effects three days after vaccination (<i>p</i> = .04) and worry about side-effects one month after vaccination (<i>p</i> = .05) were associated with not re-vaccinating.Conclusions: Side effect perception following vaccination is influenced by psychological factors, in particular expectations. Perceiving side effects reduces future vaccination intention. Future public health communications should aim to decrease unrealistic expectations of side effects to increase vaccine uptake.<br>Ethical approval for the study was granted by the NHS Research Ethics Committee (reference: IRAS ID: 192325, REC reference: 16/LO/1003). Following ethical approval, the dataset will be retained until 01/06/2027, then deleted.
DOI: 10.18742/25029173.v1
title: Investigating parental perceptions of side effects following vaccination

description: Background: One of the major factors contributing to parental refusal of vaccinations is the perception that vaccines cause side effects. Although symptoms are commonly reported following vaccinations, their causes are not always straightforward. Although some may be directly attributable to the vaccine itself, others may reflect pre-existing or coincidental symptoms that are misattributed to the vaccine.Purpose: To investigate psychological factors associated with parental report of side effects following vaccination with the child influenza vaccine, parental intention to re-vaccinate one’s child the following year, and actual rates of re-vaccination.Methods: A prospective cohort study was run in primary care practices in London in the 2016–17 influenza season (ClinicalTrials.gov number NCT02909855). Two hundred seventy parents from 14 practices completed a questionnaire before their child’s vaccination. Follow-up questionnaires were completed 3 days after vaccination and one month after vaccination. Parental report of side effects and vaccination intention for the subsequent year were measured. Re-vaccination was measured at the end of the 2017-18 influenza season.Results: Parental report of side effects was strongly associated with pre-vaccination expectation of side effects. Suggestions received from the media, National Health Service (NHS) vaccination leaflet, and health care workers, as well as uncertainty-related beliefs, perceived sensitivity of the child to medicines, pessimism, and anxiety were also associated with reporting side effects. Side effect report was associated with lower vaccination intention for the following influenza season. Eighteen percent of children were not re-vaccinated for influenza in 2017/18. Parental report of severe side-effects three days after vaccination (<i>p</i> = .04) and worry about side-effects one month after vaccination (<i>p</i> = .05) were associated with not re-vaccinating.Conclusions: Side effect perception following vaccination is influenced by psychological factors, in particular expectations. Perceiving side effects reduces future vaccination intention. Future public health communications should aim to decrease unrealistic expectations of side effects to increase vaccine uptake.<br>Ethical approval for the study was granted by the NHS Research Ethics Committee (reference: IRAS ID: 192325, REC reference: 16/LO/1003). Following ethical approval, the dataset will be retained until 01/06/2027, then deleted.
DOI: 10.25402/pme.25256842.v1
title: Five Genes Were Identified as Prognostic Markers for Colorectal Cancer through the Integration of GWAS and eQTL Data.- supplementary material

description: Table 1. Genes identified by SMR for colorectal cancer
DOI: 10.6084/m9.figshare.12980286
title: Additional file 5 of A novel signature of two long non-coding RNAs in BRCA mutant ovarian cancer to predict prognosis and efficiency of chemotherapy

description: Additional file 5: Table S4. Functional enrichment analysis of different mRNAs.
DOI: 10.6084/m9.figshare.12980286.v1
title: Additional file 5 of A novel signature of two long non-coding RNAs in BRCA mutant ovarian cancer to predict prognosis and efficiency of chemotherapy

description: Additional file 5: Table S4. Functional enrichment analysis of different mRNAs.
DOI: 10.17043/oden-ascos-2008-expedition-4
title: Data from expedition ASCOS, Arctic Ocean, 2008
DOI: 10.17043/oden-ao-2016-expedition-2
title: Data from expedition Arctic Ocean, 2016
DOI: 10.17043/oden-swerus-2014-expedition-3
title: Data from expedition SWERUS-C3, Arctic Ocean, 2014
DOI: 10.17043/oden-ao-2018-expedition-3
title: Data from expedition Arctic Ocean, 2018
DOI: 10.17043/oden-ryder-2019-expedition-5
title: Data from expedition Ryder, off North Greenland, 2019
DOI: 10.6084/m9.figshare.16650377
title: Additional file 2 of Genome-wide identification and expression profile under abiotic stress of the barley non-specific lipid transfer protein gene family and its Qingke Orthologues

description: Additional file 2: Table S2. Gene duplication events for the HvLTP genes in each barley chromosome.
DOI: 10.6084/m9.figshare.16650377.v1
title: Additional file 2 of Genome-wide identification and expression profile under abiotic stress of the barley non-specific lipid transfer protein gene family and its Qingke Orthologues

description: Additional file 2: Table S2. Gene duplication events for the HvLTP genes in each barley chromosome.
DOI: 10.6084/m9.figshare.25250560.v2
title: Table S9.xlsx

description: Table S3 includes results from Medini et al 2024 preprint
DOI: 10.25824/redu/vm6f36
title: FACCIO, Florencia_Entrevista concedida a Ian Marino_10-11-23.mp4

description: :unav
DOI: 10.5281/zenodo.10674082
title: [VISIR-2 ship weather routing model] intermediate products

description: VISIR-2 ship weather routing model intermediate products
This repository contains the intermediate data required to reproduce the results presented Geosci. Model Dev. Discussions manuscript titled "VISIR-2: ship weather routing in Python". The paper will be linked here as soon as available online.  
 
How to Use the Data
To reproduce the results from the manuscript, please follow these steps:
1. download this repository to your local machine.
2. download the Zenodo repository containing VISIR-2 source code from this link
3. run the Jupyter notebook contained in VISIR-2/_e_Visualizzazioni/notebooks
 
Contact
If you have any questions or need further assistance, please feel free to contact us:
- Mario Leonardo Salinas
- Email: mario.salinas@cmcc.it
 
description: VISIR-2 model documentation and results are provided in the manuscript: 
Mannarini, G., Salinas, M. L., Carelli, L., Petacco, N., and Orović, J.: VISIR-2: ship weather routing in Python, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2060, 2023.
DOI: 10.5281/zenodo.8233873
title: [VISIR-2 ship weather routing model] intermediate products

description: VISIR-2 ship weather routing model intermediate products
This repository contains the intermediate data required to reproduce the results presented Geosci. Model Dev. Discussions manuscript titled "VISIR-2: ship weather routing in Python". The paper will be linked here as soon as available online.  
 
How to Use the Data
To reproduce the results from the manuscript, please follow these steps:
1. download this repository to your local machine.
2. download the Zenodo repository containing VISIR-2 source code from this link
3. run the Jupyter notebook contained in VISIR-2/_e_Visualizzazioni/notebooks
 
Contact
If you have any questions or need further assistance, please feel free to contact us:
- Mario Leonardo Salinas
- Email: mario.salinas@cmcc.it
 
description: VISIR-2 model documentation and results are provided in the manuscript: 
Mannarini, G., Salinas, M. L., Carelli, L., Petacco, N., and Orović, J.: VISIR-2: ship weather routing in Python, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2060, 2023.
DOI: 10.5281/zenodo.8233874
title: [VISIR-2 ship weather routing model] intermediate products

description: VISIR-2 ship weather routing model intermediate products
This repository contains the intermediate data required to reproduce the results presented Geosci. Model Dev. Discussions manuscript titled "VISIR-2: ship weather routing in Python". The paper will be linked here as soon as available online.  
 
How to Use the Data
To reproduce the results from the manuscript, please follow these steps:
1. download this repository to your local machine.
2. download the Zenodo repository containing VISIR-2 source code from this link
3. run the Jupyter notebook contained in VISIR-2/_e_Visualizzazioni/notebooks
 
Contact
If you have any questions or need further assistance, please feel free to contact us:
- Mario Leonardo Salinas
- Email: mario.salinas@cmcc.it
 
description: VISIR-2 model documentation and results are provided in the manuscript: 
Mannarini, G., Salinas, M. L., Carelli, L., Petacco, N., and Orović, J.: VISIR-2: ship weather routing in Python, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2060, 2023.
DOI: 10.26255/heal.jly2-qyh3
title: Youtube Video Descriptions
DOI: 10.5281/zenodo.10687474
title: CHAQIRIQQACHA HARBIY TA'LIM KURSANTLARIDA KASBIY MADANIYATNI SHAKLLANTIRISH
DOI: 10.5281/zenodo.10687475
title: CHAQIRIQQACHA HARBIY TA'LIM KURSANTLARIDA KASBIY MADANIYATNI SHAKLLANTIRISH
DOI: 10.5281/zenodo.10687086
title: Dataset I (feral cat, other, blank). Dataset II (animal, blank) collected by camera trap prototype
DOI: 10.5281/zenodo.10687089
title: Dataset I (feral cat, other, blank). Dataset II (animal, blank) collected by camera trap prototype
DOI: 10.6084/m9.figshare.11932101
title: Code from Modelling stem cell ageing: a multi-compartment continuum approach

description: Matlab code for the simulations
DOI: 10.6084/m9.figshare.11932101.v1
title: Code from Modelling stem cell ageing: a multi-compartment continuum approach

description: Matlab code for the simulations
DOI: 10.18742/25041509.v1
title: Factors affecting whether parents send their child to school following closures due to COVID-19

description: In England (UK), at the start of the COVID-19 pandemic the public were required to reduce their physical contacts to slow the spread of COVID-19. We investigated the factors associated with children having: 1) close contact with family members from outside their household (‘non-adherent behaviour’); and 2) low well-being (Revised Child Anxiety and Depression Scale). We conducted an online cross-sectional survey, completed at any location of the participant’s choice between 8 and 11 June 2020 in parents (n = 2,010) who were aged eighteen years or over and had a school-aged child (4–18 years old). Parents reported that 15% (n = 309) of children had non-adherent contact and that 26% (n = 519) had low well-being. We used a series of binary logistic regressions to investigate associations between outcomes and child and parent characteristics. Children had higher odds of having non-household contact when they had special educational needs [adjusted odds ratio, 2.19 (95% CI, 1.47 to 3.27)], lower well-being [2.65 (95% CI, 2.03 to 3.46)], were vulnerable to COVID-19 [2.17 (95% CI, 1.45 to 3.25)], lived with someone who was over 70 years old [2.56 (95% CI, 1.55 to 4.24)] and their parent had low well-being [1.94 (95% CI, 1.45 to 2.58)]. Children had higher odds of lower well-being when they had special educational needs [4.13 (95% CI, 2.90 to 5.87)], were vulnerable to COVID-19 [3.06 (95% CI, 2.15 to 4.36)], lived with someone else who was vulnerable to COVID-19 [2.08 (95% CI, 1.64 to 2.64)], or lived with someone who was over 70 years old [2.41 (95% CI, 1.51 to 3.83)]. Many children came into contact with non-household family members, mainly for childcare. Factors relating to COVID-19, children’s well-being and education were also important. If school closures are needed in future, addressing these issues may help reduce contact.
DOI: 10.18742/25041509
title: Factors affecting whether parents send their child to school following closures due to COVID-19

description: In England (UK), at the start of the COVID-19 pandemic the public were required to reduce their physical contacts to slow the spread of COVID-19. We investigated the factors associated with children having: 1) close contact with family members from outside their household (‘non-adherent behaviour’); and 2) low well-being (Revised Child Anxiety and Depression Scale). We conducted an online cross-sectional survey, completed at any location of the participant’s choice between 8 and 11 June 2020 in parents (n = 2,010) who were aged eighteen years or over and had a school-aged child (4–18 years old). Parents reported that 15% (n = 309) of children had non-adherent contact and that 26% (n = 519) had low well-being. We used a series of binary logistic regressions to investigate associations between outcomes and child and parent characteristics. Children had higher odds of having non-household contact when they had special educational needs [adjusted odds ratio, 2.19 (95% CI, 1.47 to 3.27)], lower well-being [2.65 (95% CI, 2.03 to 3.46)], were vulnerable to COVID-19 [2.17 (95% CI, 1.45 to 3.25)], lived with someone who was over 70 years old [2.56 (95% CI, 1.55 to 4.24)] and their parent had low well-being [1.94 (95% CI, 1.45 to 2.58)]. Children had higher odds of lower well-being when they had special educational needs [4.13 (95% CI, 2.90 to 5.87)], were vulnerable to COVID-19 [3.06 (95% CI, 2.15 to 4.36)], lived with someone else who was vulnerable to COVID-19 [2.08 (95% CI, 1.64 to 2.64)], or lived with someone who was over 70 years old [2.41 (95% CI, 1.51 to 3.83)]. Many children came into contact with non-household family members, mainly for childcare. Factors relating to COVID-19, children’s well-being and education were also important. If school closures are needed in future, addressing these issues may help reduce contact.