cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19115387
title: PCR SARS2 BAHIA 2020 subset iii

description: Part of a collection from an academic publication.
DOI: 10.5286/isis.e.rb2210106
title: Solution structure and viscoelasticity of cellulose ethers in the presence of chaotropic nano-ions

description: Cellulose ethers, such as hydroxypropyl cellulose (HPC) are widely-used commcercial viscosifying agents due to their high molecular stiffness, in comparison to classical synthetic polymers like PS , and their tendency to self-aggregate in solution. In this research project we study the effects of chaotropic (water structure-breaking) and hydrophobic nanometric ions on the solution structure and rheology of HPC. We observed that the chaotropic nano-ion induced stronger effects on HPC rheology - a drastic viscosity increase towards gelation at millimolar concentrations - than the corresponding ionic surfactant (SDS)/polymer system. Interestingly, upon heating the viscosity of the nano-ion/HPC-complex was found to decrease drastically, which is uncommon for HPC that gels upon heating. With this proposal we aim to correlate the temperature induced viscosity trend with the solution structure.
DOI: 10.5286/isis.e.rb2210106-1
title: Solution structure and viscoelasticity of cellulose ethers in the presence of chaotropic nano-ions

description: Cellulose ethers, such as hydroxypropyl cellulose (HPC) are widely-used commcercial viscosifying agents due to their high molecular stiffness, in comparison to classical synthetic polymers like PS , and their tendency to self-aggregate in solution. In this research project we study the effects of chaotropic (water structure-breaking) and hydrophobic nanometric ions on the solution structure and rheology of HPC. We observed that the chaotropic nano-ion induced stronger effects on HPC rheology - a drastic viscosity increase towards gelation at millimolar concentrations - than the corresponding ionic surfactant (SDS)/polymer system. Interestingly, upon heating the viscosity of the nano-ion/HPC-complex was found to decrease drastically, which is uncommon for HPC that gels upon heating. With this proposal we aim to correlate the temperature induced viscosity trend with the solution structure.
DOI: 10.34740/kaggle/dsv/3133956
title: COVID Vaccination in World (updated daily)
DOI: 10.5517/ccdc.csd.cc26z6w9
title: CCDC 2054831: Experimental Crystal Structure Determination

description: Related Article: Hassan Farhid, Mohammad Taghi Nazeri, Mohammad Mahdi Rostami, Ahmad Shaabani, Behrouz Notash|2021|Chem.Papers|76|987|doi:10.1007/s11696-021-01924-0
DOI: 10.5517/ccdc.csd.cc273jc8
title: CCDC 2058969: Experimental Crystal Structure Determination

description: Related Article: Monika Rzonsowska, Katarzyna Mituła, Julia Duszczak, Małgorzata Kasperkowiak, Rafał Januszewski, Anita Grześkiewicz, Maciej Kubicki, Daria Głowacka, Beata Dudziec|2022|Inorg.Chem.Front.|9|379|doi:10.1039/D1QI01363G
DOI: 10.5517/ccdc.csd.cc273jd9
title: CCDC 2058970: Experimental Crystal Structure Determination

description: Related Article: Monika Rzonsowska, Katarzyna Mituła, Julia Duszczak, Małgorzata Kasperkowiak, Rafał Januszewski, Anita Grześkiewicz, Maciej Kubicki, Daria Głowacka, Beata Dudziec|2022|Inorg.Chem.Front.|9|379|doi:10.1039/D1QI01363G
DOI: 10.5517/ccdc.csd.cc273qfj
title: CCDC 2059157: Experimental Crystal Structure Determination

description: Related Article: Shengxian Zhai, Shuxian Qiu, Shuai Yang, Bingyan Hua, Yongsheng Niu, Chuchu Han, Youzhu Yu, Yuchao Li, Hongbin Zhai|2022|Chin.Chem.Lett.|33|276|doi:10.1016/j.cclet.2021.06.081
DOI: 10.5517/ccdc.csd.cc273qgk
title: CCDC 2059158: Experimental Crystal Structure Determination

description: Related Article: Shengxian Zhai, Shuxian Qiu, Shuai Yang, Bingyan Hua, Yongsheng Niu, Chuchu Han, Youzhu Yu, Yuchao Li, Hongbin Zhai|2022|Chin.Chem.Lett.|33|276|doi:10.1016/j.cclet.2021.06.081
DOI: 10.17632/hf4m6x5x2j.1
title: Prevalence and risk factors of ellipsoid zone damage after pars plana vitrectomy for idiopathic epiretinal membrane

description: Prevalence and risk factors of ellipsoid zone damage after pars plana vitrectomy for idiopathic epiretinal membrane
 DOI: 10.1097/IAE.0000000000003321
DOI: 10.21942/uva.19115357
title: Meike Waaijers Thesis Materials

description: The Meike_data_raw.csv file is used to load the data in R. The Meike_Thesis_Code.R file is the R code to prepare the data and obtain the descriptive statistics.The Meike_data_for_Jasp.csv file is the (in R) prepared and cleaned data for the analyses in Jasp.<br>
DOI: 10.21942/uva.19115357.v2
title: Meike Waaijers Thesis Materials

description: The Meike_data_raw.csv file is used to load the data in R. The Meike_Thesis_Code.R file is the R code to prepare the data and obtain the descriptive statistics.The Meike_data_for_Jasp.csv file is the (in R) prepared and cleaned data for the analyses in Jasp.<br>
DOI: 10.21942/uva.19115357.v1
title: Thesis Materials Meike Waaijers

description: The data_raw.csv file is used to load the data in R. In the Thesis_Code.R file the data is prepared and the descriptive statistics are obtained. The data_Thesis_Jasp.csv file is the (in R) prepared and cleaned data for the analyses in Jasp.<br>
DOI: 10.17632/x48nygt56y.1
title: data fromPersistent or Recurrent Diabetic Macular Edema After Fluocinolone Acetonide 0.19 mg Implant: Risk Factors and Management.

description: data fromPersistent or Recurrent Diabetic Macular Edema After Fluocinolone Acetonide 0.19 mg Implant: Risk Factors and Management.
 DOI: 10.1016/j.ajo.2020.03.016
DOI: 10.5281/zenodo.5862277
title: Phenology and production of pollen, nectar and sugar in 1612 plant species from various environments

description: This dataset is related to the data paper published in Ecology: Filipiak et al, in press, <em>Phenology and production of pollen, nectar and sugar in 1612 plant species from various environments</em>; doi: to be provided when available. This paper must be always properly cited when using the database. Please use any scientific full citation format. <br> <br> <strong>Abstract</strong><br> To predict the quantity and quality of the food available for pollinators in various landscapes over time, it is necessary to collect detailed data on pollen, nectar, and sugar production per unit area and the flowering phenology of plants. Similar data are needed to estimate the contribution of plants to the functioning of food webs via the flow of energy and nutrients through the soil-plant-nectar/pollen-consumer pathway. Current knowledge on this topic is fragmented. This is the first database to compile data on the various food resources produced by 1612 different plant species, belonging to 755 genera and 133 families, including crops and wild plants, annuals and perennials, animal- and wind-pollinated plants, and weeds and trees growing in different ecosystems under various environmental conditions. The dataset consists of 103 parameters related to the traits of plant species, as well as to geographical and environmental factors, allowing for precise calculations of nectar, pollen and energy provided by plants and available to consumers in the considered flora or ecosystem on a daily basis throughout the year. These parameters, gathered by us and extracted from the available literature, describe pollen, nectar and sugar production (where applicable, in mass, volume and concentration units), honey yield, the timing and duration of flowering, flower longevity, numbers of plants and flowers per unit area, related weather conditions (temperature and precipitation), geographical location, landscape, and syntaxonomy. The data were obtained from various, mostly European, pedoclimatic zones, and the majority of the data were available for plant species and communities present in Central Europe, especially in Poland, where research on floral resources has a long tradition. These data are representative of the whole continent and may be used as a reference for plant communities occurring on continents other than Europe since the database allows the consideration of differences in the production of resources by a single plant species growing in different communities. This dataset provides a unique opportunity to test hypotheses related to the functioning of food webs, nutrient cycling, plant ecology, and pollinator ecology and conservation.
description: This dataset is related to the data paper published in Ecology: Filipiak et al, in press, Phenology and production of pollen, nectar and sugar in 1612 plant species from various environments; doi: to be provided when available. This paper must be always properly cited when using the database. Please use any scientific full citation format.
DOI: 10.5281/zenodo.5862276
title: Phenology and production of pollen, nectar and sugar in 1612 plant species from various environments

description: This dataset is related to the data paper published in Ecology: Filipiak et al, in press, <em>Phenology and production of pollen, nectar and sugar in 1612 plant species from various environments</em>; doi: to be provided when available. This paper must be always properly cited when using the database. Please use any scientific full citation format. <br> <br> <strong>Abstract</strong><br> To predict the quantity and quality of the food available for pollinators in various landscapes over time, it is necessary to collect detailed data on pollen, nectar, and sugar production per unit area and the flowering phenology of plants. Similar data are needed to estimate the contribution of plants to the functioning of food webs via the flow of energy and nutrients through the soil-plant-nectar/pollen-consumer pathway. Current knowledge on this topic is fragmented. This is the first database to compile data on the various food resources produced by 1612 different plant species, belonging to 755 genera and 133 families, including crops and wild plants, annuals and perennials, animal- and wind-pollinated plants, and weeds and trees growing in different ecosystems under various environmental conditions. The dataset consists of 103 parameters related to the traits of plant species, as well as to geographical and environmental factors, allowing for precise calculations of nectar, pollen and energy provided by plants and available to consumers in the considered flora or ecosystem on a daily basis throughout the year. These parameters, gathered by us and extracted from the available literature, describe pollen, nectar and sugar production (where applicable, in mass, volume and concentration units), honey yield, the timing and duration of flowering, flower longevity, numbers of plants and flowers per unit area, related weather conditions (temperature and precipitation), geographical location, landscape, and syntaxonomy. The data were obtained from various, mostly European, pedoclimatic zones, and the majority of the data were available for plant species and communities present in Central Europe, especially in Poland, where research on floral resources has a long tradition. These data are representative of the whole continent and may be used as a reference for plant communities occurring on continents other than Europe since the database allows the consideration of differences in the production of resources by a single plant species growing in different communities. This dataset provides a unique opportunity to test hypotheses related to the functioning of food webs, nutrient cycling, plant ecology, and pollinator ecology and conservation.
description: This dataset is related to the data paper published in Ecology: Filipiak et al, in press, Phenology and production of pollen, nectar and sugar in 1612 plant species from various environments; doi: to be provided when available. This paper must be always properly cited when using the database. Please use any scientific full citation format.
DOI: 10.17632/5pv3gnvfr2.1
title: Predictive factors of radio-induced complications in 194 eyes undergoing gamma knife radiosurgery for uveal melanoma. DOI: 10.1111/aos.14814

description: Predictive factors of radio-induced complications in 194 eyes undergoing gamma knife radiosurgery for uveal melanoma
DOI: 10.17632/j35fzdj7nw.1
title: Data from The outcome of fluocinolone acetonide intravitreal implant is predicted by the response to dexamethasone implant in diabetic macular oedema.

description: The outcome of fluocinolone acetonide intravitreal implant is predicted by the response to dexamethasone implant in diabetic macular oedema.
DOI: 10.1038/s41433-020-01373-1
DOI: 10.17632/4vdsspz2n5.1
title: data from Clinical associations and prognostic implications of repair tissue proliferation in eyes with retinal pigment epithelium tears

description: the data comes from Cicinelli MV, Rabiolo A, Montesano G, Marchese A, Barresi C, Introini U, Parodi MB, Bandello F. Clinical associations and prognostic implications of repair tissue proliferation in eyes with retinal pigment epithelium tears. Retina. 2021 Nov 2. doi: 10.1097/IAE.0000000000003332. Epub ahead of print. PMID: 34743132.
DOI: 10.17632/2kff23dc36.1
title: Different decay of antibody response and VOC sensitivity in naïve and previously infected subjects at 15 weeks following vaccination with BNT162b2

description: The associate DOI for this manuscript is: https://doi.org/10.1186/s12967-021-03208-3
Published in 2022 by Lucia Lopalco et al.
Twenty-six naïve and 9 previously SARS-CoV-2 infected subjects during the second wave of the pandemic
in Italy were enrolled for this study. The two groups had comparable demographic and clinical characteristics. By
means of ELISA and pseudotyped-neutralization assays, we investigated the kinetics of developed IgG-RBD and their
neutralizing activity against both the ancestral D614G and the SARS-CoV-2 variants of concern emerged later, respectively.
 Although after 15 weeks from vaccination IgG-RBD dropped in all participants, naïve subjects experienced
a more dramatic decline than those with previous SARS-CoV-2 infection. Neutralizing antibodies remained higher in
subjects with SARS-CoV-2 history and conferred broad-spectrum protection.
A table including all clinical data, ELISA and Neutralization assay is attached here (named Vaccinated + Neut + ELISA)
DOI: 10.17632/8gfxch4kb9.1
title: HIV-1 env does not enable the development of protective broadly neutralizing antibodies is an experimental autoimmune encephalomyelitis mouse model

description: DOI for this work is: 10.3389/fimmu.2021.771359
Recent studies showed that immunological tolerance may restrict the development of Env-specific autoreactive broadly neutralizing antibodies. This evidence is consistent with the finding that Env immunization of a systemic lupus erythematosus (SLE) murine model produced antibodies that neutralize tier 2 HIV-1 strains. In this study, we address the possibility of eliciting neutralizing anti-Env antibodies in other autoimmune diseases such as multiple sclerosis (MS). While, as reported for SLE, we showed for the first time that a small number of HIV-1 negative, relapsing remitting MS patients exhibited antibodies with neutralizing properties, our attempts at inducing those antibodies in a EAE mouse model of MS failed. The success in eliciting Env-specific neutralizing antibodies might be related to the specific characteristics of the autoimmune disease, or it might rely in improving the vaccination design. Studies using mouse models are useful to gain insight in how HIV-specific neutralizing antibody responses are regulated in order to develop a protective HIV-1 vaccine. The raw data of each figure reported in the manuscript is reported here. In total we have 6 different files.
DOI: 10.17632/c4n7tg6v7h.1
title: Profiling antibody response patterns in COVID-19:Spike S1-reactive IgA signature in the evolution of SARS-CoV-2 infection

description: DOI for this manuscript is: 10.3389/fimmu.2021.772239
Published in 2021 by Lucia Lopalco et al.
We have investigated in a new statistical perspective the antibody responses to SARS-CoV-2 in 141 COVID-19 patients exhibiting a broad range of clinical manifestations (as described in raw data of all clinical data both at time of entry and followup. Two files are associated to hospitalized -so called COVID patients- and 2 files at pauci/asymptomatic subjects -so called as RSA-) . This cohort accurately reflects the characteristics of the first wave of the SARS-CoV-2 pandemic in Italy. We determined the IgM, IgA and IgG levels towards SARS-CoV-2 S1, S2, and NP antigens, evaluated their neutralizing activity and relationship with clinical signatures (as shown in the same raw data of clinical data). Moreover, we longitudinally followed 72 patients up to 9 months post symptoms onset to study the persistence of antibodies levels (raw data showing follow up of the studied subjects). Our results showed that the majority of COVID-19 patients developed an early virus-specific antibody response. The magnitude and the neutralizing properties of the response was heterogeneous regardless the severity of the disease. Antibody levels dropped over time, even though spike reactive IgG and IgA were still detectable up to 9 months. Early baseline antibody levels were key drivers of the subsequent antibody production and the long-lasting protection against SARS-CoV-2. Importantly, we identified anti-S1 IgA as a good surrogate marker to predict the clinical course of COVID-19. In addition analyses have been performed in purified IgG and IgA fraction of some subjects as shown in panel D of Fig 1 of the manuscript, the relative file with raw data is called IC50 purified fractions. Detailed description of the findings is reported in the published manuscript.
DOI: 10.5281/zenodo.5959199
title: Hubble eXtreme Deep Field that has been clipped and processed for ML applications

description: This is a set of FITS files downloaded from https://archive.stsci.edu/ . The *.npy file has been clipped to the 99.99th percentile and then minmax normalised along each channel.
DOI: 10.5281/zenodo.5959198
title: Hubble eXtreme Deep Field that has been clipped and processed for ML applications

description: This is a set of FITS files downloaded from https://archive.stsci.edu/ . The *.npy file has been clipped to the 99.99th percentile and then minmax normalised along each channel.
DOI: 10.25934/pr00006535.3
title: Available IPD datapackage for study 'COVIDMED-Comparison Of Therapeutics for Hospitalized Patients Infected With SARS-CoV'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.34740/kaggle/dsv/3134099
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.18112/openneuro.ds004012.v1.0.0
title: BRAR_NQ
DOI: 10.5281/zenodo.5862716
title: uprolls2018-385

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862715
title: uprolls2018-385

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5958018
title: Quantitative raw data for "Large scale regional citizen surveys report" (D1.4)

description: This dataset presents the quantitative raw data that was collected under the H2020 RRI2SCALE project for the D1.4 - “Large scale regional citizen surveys report”. The dataset includes the answers that were provided by almost 8,000 participants from 4 pilot European regions (Kriti, Vestland, Galicia, and Overijssel) regarding the general public's views, concerns, and moral issues about the current and future trajectories of their RTD&I ecosystem. The original survey questionnaire was created by White Research SRL and disseminated to the regions through supporting pilot partners. Data collection took place from June 2020 to September 2020 through 4 different waves – one for each region. Based on the conclusion of a consortium vote during the kick-off meeting, it was decided that instead of resource-intensive methods that would render data collection unduly expensive, to fill in the quotas responses were collected through online panels by survey companies that were used for each region. For the statistical analysis of the data and the conclusions drawn from the analysis, you can access the "Large scale regional citizen surveys report" (D1.4).
description: The RRI2SCALE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 872526.
DOI: 10.5281/zenodo.5862710
title: uprolls2018-391

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5958017
title: Quantitative raw data for "Large scale regional citizen surveys report" (D1.4)

description: This dataset presents the quantitative raw data that was collected under the H2020 RRI2SCALE project for the D1.4 - “Large scale regional citizen surveys report”. The dataset includes the answers that were provided by almost 8,000 participants from 4 pilot European regions (Kriti, Vestland, Galicia, and Overijssel) regarding the general public's views, concerns, and moral issues about the current and future trajectories of their RTD&I ecosystem. The original survey questionnaire was created by White Research SRL and disseminated to the regions through supporting pilot partners. Data collection took place from June 2020 to September 2020 through 4 different waves – one for each region. Based on the conclusion of a consortium vote during the kick-off meeting, it was decided that instead of resource-intensive methods that would render data collection unduly expensive, to fill in the quotas responses were collected through online panels by survey companies that were used for each region. For the statistical analysis of the data and the conclusions drawn from the analysis, you can access the "Large scale regional citizen surveys report" (D1.4).
description: The RRI2SCALE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 872526.
DOI: 10.5281/zenodo.5862709
title: uprolls2018-391

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018