cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22014629.v1
title: Table S1.docx

description: Table S1. Physical and chemical parameters of milk for butter production. Table S2. Organoleptic characteristics of milk for butter production. Table S3. Microbiological indicators of milk for butter production
DOI: 10.5281/zenodo.7330183
title: Data for "Mega forest fires intensify floods" (abandoned, see following description)

description: For the latest data, please see https://doi.org/10.5281/zenodo.7571477.
DOI: 10.6084/m9.figshare.20079188.v3
title: Figure 4

description: It comprises of raw data and analysis file of Figure 4 obtained by determining the effect of tumor conditioned medium on peripheral sensory neuron differentiation. Dissociated sensory neurons were treated with control, 50% MRMT-1 derived conditioned medium and neurite assay was performed. <br>
DOI: 10.6084/m9.figshare.20079185.v2
title: Figure 5

description: It comprises of raw data and analysis file of Figure 5 obtained by determining the effect of tumorigenic dorsal root ganglion cell conditioned medium on cancer cell migration. Conditioned media obtained from culturing DRG cells were harvested from naive and tumor rats. Cell migration assay was performed to assess the number of MRMT-1 cells migrated from scratch. <br>
DOI: 10.6084/m9.figshare.22014656
title: Pertanyaan dan jawaban untuk delapan prodi kependidikan di Fakultas Teknik Universitas Negeri Medan menggunakan ChatGP

description: Dokumen ini adalah rekapitulasi jawaban yang diberikan ChatGPT mengenai topik skripsi pada Prodi Kependidikan Fakultas Teknik Universitas Negeri Medan.
DOI: 10.6084/m9.figshare.22014656.v1
title: Pertanyaan dan jawaban untuk delapan prodi kependidikan di Fakultas Teknik Universitas Negeri Medan menggunakan ChatGP

description: Dokumen ini adalah rekapitulasi jawaban yang diberikan ChatGPT mengenai topik skripsi pada Prodi Kependidikan Fakultas Teknik Universitas Negeri Medan.
DOI: 10.5281/zenodo.7603205
title: Data set belonging to DOI: 10.1109/AMPS55790.2022.9978849

description: This data set belongs to the following paper: G. Frigo and M. Agustoni<br> "Development of a Transfer Standard for DC Power Quality Reference Systems"<br> 2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)<br> DOI: 10.1109/AMPS55790.2022.9978849 This project has received funding from the European Metrology Programme for Innovation and Research co-financed by the Participating States and in part by the European Union’s Horizon 2020 Research and Innovation Programme
DOI: 10.5281/zenodo.7603204
title: Data set belonging to DOI: 10.1109/AMPS55790.2022.9978849

description: This data set belongs to the following paper: G. Frigo and M. Agustoni<br> "Development of a Transfer Standard for DC Power Quality Reference Systems"<br> 2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)<br> DOI: 10.1109/AMPS55790.2022.9978849 This project has received funding from the European Metrology Programme for Innovation and Research co-financed by the Participating States and in part by the European Union’s Horizon 2020 Research and Innovation Programme
DOI: 10.5281/zenodo.7499746
title: In materia implementation strategies of physical reservoir computing with memristive nanonetworks - Dataset

description: This is the dataset of "In materia implementation strategies of physical reservoir computing with memristive nanonetworks"
description: Part of this work was supported by the European project MEMQuD, code 20FUN06, funder ID: 10.13039/100014132. This project (EMPIR 20FUN06 MEMQuD) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.7499745
title: In materia implementation strategies of physical reservoir computing with memristive nanonetworks - Dataset

description: This is the dataset of "In materia implementation strategies of physical reservoir computing with memristive nanonetworks"
description: Part of this work was supported by the European project MEMQuD, code 20FUN06, funder ID: 10.13039/100014132. This project (EMPIR 20FUN06 MEMQuD) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.21227/8dhf-g550
title: Algorithm for design pilot sequences with low coherence and PAPR

description: We study the optimization problem to minimize the worst-case coherence among sequences under the peak-to-average power ratio (PAPR) constraint of each sequence. An efficient method is proposed to iteratively construct sequences by the conjugate gradient descent and space projection.
DOI: 10.6084/m9.figshare.21333045.v2
title: Security Findings Management Requirements

description: 1. Standard_Mapping: List of requirements towards security findings management, derived from common industrial standards <br> 2. List_of_Documents: List of all considered documents including their statistics and relevance for the Standard_Mapping
DOI: 10.6084/m9.figshare.21333045.v3
title: Security Findings Management Requirements

description: 1. Standard_Mapping: List of requirements towards security findings management, derived from common industrial standards <br> 2. List_of_Documents: List of all considered documents including their statistics and relevance for the Standard_Mapping
DOI: 10.6084/m9.figshare.22014692
title: characteristics of respondents

description: This data is characteristic of respondent data. This data consists of 11 variables that have a categorical scale.
DOI: 10.6084/m9.figshare.22014692.v1
title: characteristics of respondents

description: This data is characteristic of respondent data. This data consists of 11 variables that have a categorical scale.
DOI: 10.5281/zenodo.7609117
title: Dendrometer data in 2017-2019

description: These data are on fluctuations in the dimension of tree stems measured by dendrometers. Supporting data are also uploaded, such as, sap flow and climatic conditions. For further details, see "readme.txt".
DOI: 10.5281/zenodo.7609116
title: Dendrometer data in 2017-2019

description: These data are on fluctuations in the dimension of tree stems measured by dendrometers. Supporting data are also uploaded, such as, sap flow and climatic conditions. For further details, see "readme.txt".
DOI: 10.5281/zenodo.7560225
title: The EFSA catalogues applied for the 2022 zoonoses data reporting

description: The EFSA catalogues applied for the 2022 zoonoses data reporting are made available in Excel format for easier use and reference.
description: EU; XLSX; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7560224
title: The EFSA catalogues applied for the 2022 zoonoses data reporting

description: The EFSA catalogues applied for the 2022 zoonoses data reporting are made available in Excel format for easier use and reference.
description: EU; XLSX; zoonoses_support@efsa.europa.eu
DOI: 10.6084/m9.figshare.22014740
title: maternal health

description: This data contains indicators that make up the maternal health variable
DOI: 10.6084/m9.figshare.22014722
title: weather.csv

description: Weather Dataset 2021-Jan to 2022-Dec
DOI: 10.5281/zenodo.7560280
title: Excel mapping tools for 2022 zoonoses data reporting

description: The main objective of the mapping tools is to provide a simple and useable platform for Member states and other reporting countries to map their country-specific standard terminology to that used by EFSA and to enable the production of an XML file for the submission of sample or aggregated-based zoonoses monitoring data via the Data Collection Framework (DCF). The catalogues and the specific hierarchy of each data model (AMR, ESBL, PRV, FBO, AP, DS and SSD2 for <em>Echinococcus multilocularis</em>) are already inserted into each of the specific mapping tool. Specific Excel mapping tools corresponding to each of the five data models are available. Dynamic or manual version of the tool can be chosen for the first six data models. The Emulti_SSD2_tool can be used to report sample-based results of <em>Echinococcus multilocularis</em> under the Commission Delegated Regulation (EU) 2018/772.
description: EU; XLSX; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7560279
title: Excel mapping tools for 2022 zoonoses data reporting

description: The main objective of the mapping tools is to provide a simple and useable platform for Member states and other reporting countries to map their country-specific standard terminology to that used by EFSA and to enable the production of an XML file for the submission of sample or aggregated-based zoonoses monitoring data via the Data Collection Framework (DCF). The catalogues and the specific hierarchy of each data model (AMR, ESBL, PRV, FBO, AP, DS and SSD2 for <em>Echinococcus multilocularis</em>) are already inserted into each of the specific mapping tool. Specific Excel mapping tools corresponding to each of the five data models are available. Dynamic or manual version of the tool can be chosen for the first six data models. The Emulti_SSD2_tool can be used to report sample-based results of <em>Echinococcus multilocularis</em> under the Commission Delegated Regulation (EU) 2018/772.
description: EU; XLSX; zoonoses_support@efsa.europa.eu
DOI: 10.6084/m9.figshare.22014626
title: experimantal data for submission #814

description: This is the experimantal data for submission #814.
DOI: 10.6084/m9.figshare.22014626.v1
title: experimantal data for submission #814

description: This is the experimantal data for submission #814.
DOI: 10.6084/m9.figshare.22014713
title: Maternal health

description: This data contains indicators that make up the maternal health variable
DOI: 10.6084/m9.figshare.22014713.v1
title: • Maternal health

description: This data contains indicators that make up the maternal health variable
DOI: 10.6084/m9.figshare.22014773
title: Untitled Item

description: This data contains indicators that make up the infant health variable
DOI: 10.6084/m9.figshare.22014773.v1
title: Untitled Item

description: This data contains indicators that make up the infant health variable
DOI: 10.6084/m9.figshare.22014746.v1
title: HUAXI0000114259_smooth.bw

description: 11111
DOI: 10.6084/m9.figshare.22014746
title: HUAXI0000114259_smooth.bw

description: 11111
DOI: 10.6084/m9.figshare.20318242
title: Internal evaluation of risk stratification tool using serial procalcitonin and clinical risk factors in pediatric febrile neutropenia: The non-interventional, single institution experience prior to clinical implementation

description: Risk stratification of pediatric febrile neutropenia (FN) is an established concept, yet clinical risk tools misclassify nearly 5% of clinical standard-risk episodes with severe outcomes. The internal evaluation of a clinical risk tool before implementation has not been well-described. In this noninterventional cohort study, we evaluated a study decision rules (SDR) tool; a clinical risk tool with serial procalcitonin. The study standard-risk (SSR) group met clinical standard-risk criteria with two serial procalcitonin &lt;0.4 ng/mL. The study high-risk (SHR) group met clinical high-risk criteria or clinical standard-risk with a procalcitonin ≥0.4 ng/mL. Descriptive and bivariate statistics compared the groups and outcomes. Clinical criteria alone identified 39.1% (238/608) standard-risk episodes; 5.9% (14/238) had severe events. Prospectively using the SDR, the SHR group encompassed 76.6% (92/120) of episodes; severe events occurred in 20% (3/15) of standard-risk episodes included due to elevated procalcitonin ≥0.4 ng/mL. The SHR group had more blood stream infections [21.7% (20/92) vs. 0% (0/28); <i>P</i> = 0.007] and intensive care admissions [13% (12/92) vs. 3.6% (1/28); <i>P</i> = 0.158]. In conclusion, the SDR with serial procalcitonin aided in identifying severe events in clinical standard-risk episodes, but analysis was limited. Institutions may consider similar internal evaluation methodology before FN episode risk stratification.
DOI: 10.6084/m9.figshare.20318242.v1
title: Internal evaluation of risk stratification tool using serial procalcitonin and clinical risk factors in pediatric febrile neutropenia: The non-interventional, single institution experience prior to clinical implementation

description: Risk stratification of pediatric febrile neutropenia (FN) is an established concept, yet clinical risk tools misclassify nearly 5% of clinical standard-risk episodes with severe outcomes. The internal evaluation of a clinical risk tool before implementation has not been well-described. In this noninterventional cohort study, we evaluated a study decision rules (SDR) tool; a clinical risk tool with serial procalcitonin. The study standard-risk (SSR) group met clinical standard-risk criteria with two serial procalcitonin &lt;0.4 ng/mL. The study high-risk (SHR) group met clinical high-risk criteria or clinical standard-risk with a procalcitonin ≥0.4 ng/mL. Descriptive and bivariate statistics compared the groups and outcomes. Clinical criteria alone identified 39.1% (238/608) standard-risk episodes; 5.9% (14/238) had severe events. Prospectively using the SDR, the SHR group encompassed 76.6% (92/120) of episodes; severe events occurred in 20% (3/15) of standard-risk episodes included due to elevated procalcitonin ≥0.4 ng/mL. The SHR group had more blood stream infections [21.7% (20/92) vs. 0% (0/28); <i>P</i> = 0.007] and intensive care admissions [13% (12/92) vs. 3.6% (1/28); <i>P</i> = 0.158]. In conclusion, the SDR with serial procalcitonin aided in identifying severe events in clinical standard-risk episodes, but analysis was limited. Institutions may consider similar internal evaluation methodology before FN episode risk stratification.
DOI: 10.57702/zvwhphhe
title: SDMKGC

description: Demonstration of the SDM Knowledge Graph Creation Pipeline
DOI: 10.6084/m9.figshare.22014785
title: wife's psychology

description: This data contains indicators that make up the wife’s psychology variable
DOI: 10.6084/m9.figshare.22014785.v1
title: wife's psychology

description: This data contains indicators that make up the wife’s psychology variable
DOI: 10.6084/m9.figshare.22014794
title: Husband's psychology

description: This data contains indicators that make up the husband's psychology variable
DOI: 10.6084/m9.figshare.22014794.v1
title: Husband's psychology

description: This data contains indicators that make up the husband's psychology variable
DOI: 10.6084/m9.figshare.3761562.v2481
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.22014797
title: wellbeing

description: This data contains indicators that make up the wellbeing variable
DOI: 10.6084/m9.figshare.22014749
title: Chemolithotrophic biosynthesis of organic carbon associated with volcanic ash in the Mariana Trough, Pacific Ocean

description: The dataset present here contains the raw data of SEM, Raman spectra and NanoSIMS for the publication "Chemolithotrophic biosynthesis of organic carbon associated with volcanic ash in the Mariana Trough, Pacific Ocean".
DOI: 10.6084/m9.figshare.22014803
title: economic resilience

description: This data contains indicators that make up the economic resilience variable
DOI: 10.34740/kaggle/dsv/4953906
title: AutoXGB
DOI: 10.6084/m9.figshare.22013135
title: original data.zip

description: These data are used for support the article"DegS protease regulates the motility, chemotaxis and colonization of Vibrio Cholerae".
DOI: 10.6084/m9.figshare.22013135.v2
title: original data.zip

description: These data are used for support the article"DegS protease regulates the motility, chemotaxis and colonization of Vibrio Cholerae".
DOI: 10.6084/m9.figshare.22013135.v1
title: original data.zip

description: These data are used for support the article"DegS protease regulates the motility, chemotaxis and colonization of Vibrio Cholerae".
DOI: 10.34740/kaggle/dsv/4953962
title: Elon Musk Tweets
DOI: 10.5281/zenodo.7609629
title: Chapter_2_Supplementary-Table1

description: Table containing sequence information on gRNA libraries
DOI: 10.6084/m9.figshare.3761562.v2482
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.7609683
title: SimBEV input data (probabilities)

description: This dataset includes aggregated probabilities for the creation of vehicle driving profiles used in the simulation tool SimBEV. The probabilies are based on the survey Mobilitaet in Deutschland 2017.
DOI: 10.5281/zenodo.7609682
title: SimBEV input data (probabilities)

description: This dataset includes aggregated probabilities for the creation of vehicle driving profiles used in the simulation tool SimBEV. The probabilies are based on the survey Mobilitaet in Deutschland 2017.
DOI: 10.6084/m9.figshare.156395.v59
title: 2nd year Drosophila Developmental Genetics practical

description: This is the teaching material for the <em>Drosophila</em> module of the Developmental Genetics RSM (research skills module) held at the Faculty of Biology, Medicine and Health of The University of Manchester each year. This practical course runs over 6 days and is organised and supervised by Andreas Prokop. This module has been taught and optimised over a few years. Emphasis is on: <em>1) Drosophila</em> as a model system in research 2) the use of fly genetics (transgenic approaches and mutations) in combination with histological techniques to study mechanisms of development 3) transferable skills including how to design figures and their legends, how to compose laboratory protocols and how to file data securely This module also shows how practical work can be intercalated with exercises on applied fly genetics training, thus filling gaps in experimental protocols with useful activities, enriching the learning outcome and enhancing the fundamental understanding of <em>Drosophila</em> as a model organism. To make this genetics training accredited even on large courses, a novel hybrid e-assessment strategy has been developed, and we regularly apply it on our courses (50-65 students). This e-assessment and its principal strategies have been published in the G3 journal and a test exam is available online (3rd link below). Please, submit any comments in the comment box below or contact me directly: Andreas.Prokop@manchester. ac.uk Note, that a Powerpoint presentation "Roote+Prokop-SupplMat-3.ppt" is required on this module. It can be accessed from the second link below. It is also directly linked out from the two manuals in this resource.
DOI: 10.11588/data/w63ljj/uh9pdv
title: RScript_Analysis_of_Differences_between_Anxiety_Disorders.R

description: :unav
DOI: 10.11588/data/w63ljj
title: Characterization of different types of anxiety disorders according to level of personality functioning and self-reported adverse and positive childhood experiences in a sample of psychotherapy outpatients [Analysis]

description: This dataset contains the code for the analysis in R which was used to calculate the results for the study 'Characterization of different types of anxiety disorders according to level of personality functioning and self-reported adverse and positive childhood experiences in a sample of psychotherapy outpatients'.
DOI: 10.5517/ccdc.csd.cc2c7gps
title: CCDC 2181925: Experimental Crystal Structure Determination

description: Related Article: Xu-Yan Li, Jin-Hua Li, Jian-Wen Cheng, Guo-Yu Yang|2023|Inorg.Chem.|62|1264|doi:10.1021/acs.inorgchem.2c04084
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.cc2c7gnr
title: CCDC 2181924: Experimental Crystal Structure Determination

description: Related Article: Xu-Yan Li, Jin-Hua Li, Jian-Wen Cheng, Guo-Yu Yang|2023|Inorg.Chem.|62|1264|doi:10.1021/acs.inorgchem.2c04084
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: 10.5281/zenodo.7609690
title: mapping

description: dasfa ea gaegae gaegaeg
DOI: 10.5281/zenodo.7606972
title: mapping

description: dasfa ea gaegae gaegaeg
DOI: 10.5281/zenodo.6365709
title: Dataset related to article "Distinct responses of newly identified monocyte subsets to advanced gastrointestinal cancer and COVID-19"

description: This record contains raw data related to article “ Distinct responses of newly identified monocyte subsets to advanced gastrointestinal cancer and COVID-19" Monocytes are critical cells of the immune system but their role as effectors is relatively poorly understood, as they have long been considered only as precursors of tissue macrophages or dendritic cells. Moreover, it is known that this cell type is heterogeneous, but our understanding of this aspect is limited to the broad classification in classical/intermediate/non-classical monocytes, commonly based on their expression of only two markers, i.e. CD14 and CD16. We deeply dissected the heterogeneity of human circulating monocytes in healthy donors by transcriptomic analysis at single-cell level and identified 9 distinct monocyte populations characterized each by a profile suggestive of specialized functions. The classical monocyte subset in fact included five distinct populations, each enriched for transcriptomic gene sets related to either inflammatory, neutrophil-like, interferon-related, and platelet-related pathways. Non-classical monocytes included two distinct populations, one of which marked specifically by elevated expression levels of complement components. Intermediate monocytes were not further divided in our analysis and were characterized by high levels of human leukocyte antigen (HLA) genes. Finally, we identified one cluster included in both classical and non-classical monocytes, characterized by a strong cytotoxic signature. These findings provided the rationale to exploit the relevance of newly identified monocyte populations in disease evolution. A machine learning approach was developed and applied to two single-cell transcriptome public datasets, from gastrointestinal cancer and Coronavirus disease 2019 (COVID-19) patients. The dissection of these datasets through our classification revealed that patients with advanced cancers showed a selective increase in monocytes enriched in platelet-related pathways. Of note, the signature associated with this population correlated with worse prognosis in gastric cancer patients. Conversely, after immunotherapy, the most activated population was composed of interferon-related monocytes, consistent with an upregulation in interferon-related genes in responder patients compared to non-responders. In COVID-19 patients we confirmed a global activated phenotype of the entire monocyte compartment, but our classification revealed that only cytotoxic monocytes are expanded during the disease progression. Collectively, this study unravels an unexpected complexity among human circulating monocytes and highlights the existence of specialized populations differently engaged depending on the pathological context.
description: Unraveling human monocyte heterogeneity in homeostasis and disease using a machine learning approach