cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive139195.20190402.4
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive139196.20190402.4
title: Bacillus megaterium

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive139197.20190402.4
title: Bacillus megaterium

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive139198.20190402.4
title: Shigella flexneri

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive139199.20190402.4
title: Leuconostoc lactis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive139200.20190402.4
title: Helicobacter canis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive139201.20190402.4
title: Microbacterium arborescens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive137473.20190402.4
title: Pasteurella multocida

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive137474.20190402.4
title: Aeromonas sobria

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive137475.20190402.4
title: Neisseria meningitidis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive137476.20190402.4
title: Bordetella hinzii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive137477.20190402.4
title: Listeria monocytogenes

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive137478.20190402.4
title: Listeria monocytogenes

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive137479.20190402.4
title: Paenibacillus larvae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive137480.20190402.4
title: Listeria monocytogenes

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive137481.20190402.4
title: Neisseria meningitidis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive137482.20190402.4
title: Listeria monocytogenes

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.25810/yr7w-5c22.5
title: Korean Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - February 2023

description: The Media and Climate Change Observatory Data monitors 130 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/fq7x-q521.39
title: Middle Eastern Newspaper Coverage of Climate Change or Global Warming, 2004-2023 - February 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.17909/96zb-g146
title: UVCANDELS

description: This dataset includes all the observations for the UVCANDELS observations in F275W and F435W covering four of the CANDELS fields; GOODS-N, GOODS-S, EGS, and COSMOS.
DOI: 10.6084/m9.figshare.22575364
title: HSP60 and survivin proteins in oral squamous cell carcinoma.

description: HSP60 and survivin proteins in oral squamous cell carcinoma.
DOI: 10.6084/m9.figshare.22575364.v1
title: HSP60 and survivin proteins in oral squamous cell carcinoma.

description: HSP60 and survivin proteins in oral squamous cell carcinoma.
DOI: 10.25810/gyv-zg57.59
title: New Zealand Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - February 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/3gtp-yy33.38
title: North American Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - February 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.7278102
title: Three-dimensional Steady-State Hydraulic Tomography Analysis with Integration of Cross-hole Flowmeter Data at a Highly Heterogeneous Site

description: This spreadsheet includes the information of model discretization and datasets utilized to accomplish the study.
DOI: 10.6084/m9.figshare.22575406
title: users_data.sav

description: This study used Weibo microblog records to analyze and compare the changes in the well-being and mobility of people in China in 2020 (when the COVID-19 outbreak was announced) and 2021 (when the vaccine was announced). Python software’s crawling program was used to randomly select 477 users (45.28% of whom were male) and their 16,645 records from January 2020 to April 2021. The word frequency in each microblog text was conceptually defined as a variable, such as self-reference, emotion, and mobility words. Analysis of Weibo user behavior over a year in 2020 and 4 months in 2021 revealed that self-representation (when talking about “I”) had a lower positive affect and higher negative affect at later times than at earlier times. When users discussed “we,” their group identity displayed lower positive affect and more motion behaviors (e.g., shopping and walking outside). However, in 2021, their group identity had a higher positive affect and more motion behaviors, and their self-representation had a lower positive affect and fewer motion behaviors. The implications, limitations, and potential future research are discussed.
DOI: 10.6084/m9.figshare.21753623
title: Limitation of amino acid availability by bacterial populations during enhanced colitis in IBD mouse model

description: Inflammatory bowel disease is associated with an increase in Enterobacteriaceae and <em>Enterococcus</em> species, however the mechanisms are unclear. Richie <em>et al</em>. show that these bacterial populations use sulfur metabolism and tolerate host-derived immune-response, to drive host inflammation and fuel growth in the dysbiotic colon. Cultured isolates from dysbiotic mice indicated faster growth supplemented with L-cysteine, showing these microbes can utilize these essential host nutrients.
DOI: 10.6084/m9.figshare.21753623.v1
title: Limitation of amino acid availability by bacterial populations during enhanced colitis in IBD mouse model

description: Inflammatory bowel disease is associated with an increase in Enterobacteriaceae and <em>Enterococcus</em> species, however the mechanisms are unclear. Richie <em>et al</em>. show that these bacterial populations use sulfur metabolism and tolerate host-derived immune-response, to drive host inflammation and fuel growth in the dysbiotic colon. Cultured isolates from dysbiotic mice indicated faster growth supplemented with L-cysteine, showing these microbes can utilize these essential host nutrients.
DOI: 10.6084/m9.figshare.21753623.v2
title: Limitation of amino acid availability by bacterial populations during enhanced colitis in IBD mouse model

description: Inflammatory bowel disease is associated with an increase in Enterobacteriaceae and <em>Enterococcus</em> species, however the mechanisms are unclear. Richie <em>et al</em>. show that these bacterial populations use sulfur metabolism and tolerate host-derived immune-response, to drive host inflammation and fuel growth in the dysbiotic colon. Cultured isolates from dysbiotic mice indicated faster growth supplemented with L-cysteine, showing these microbes can utilize these essential host nutrients.
DOI: 10.6084/m9.figshare.22309213.v4
title: Targeting Cancer Cell Signaling Using Precision Oncology Towards a Holistic Approach to Cancer Therapeutics

description: The mutational changes occurring in the regulatory genes responsible for the maintenance of optimal cell growth and proliferation gradually lead to cancer progression and metastasis. Furthermore, patients with the same cancer types often respond differently to different cancer therapies, indicating the need for a patient-specific treatment regimen for the disease. Precision oncology is the new field of cancer research that relies on genetic profiling of individual tumors to identify targetable alterations for custom-tailored personalized treatment of the disease. It is to rely upon the genomic study of cancer cells to get a clear picture of the prognosis and pathways involved in disease progression and to look for the means to selectively target them for a cure. This article intends to briefly explain the foundations and frontiers of precision oncology in the context of technological advances being made in this direction to assess its scope and importance in the realization of a proper cure for cancer.
DOI: 10.5281/zenodo.7809039
title: Nulliparous women's bony pelvis anatomical landmarks and dimensions

description: This repository directory contains source data in file <strong>landmarks.zip</strong> related to anatomical landmarks on bony pelvis identified independently by 2 observers from MRI (folders <strong>Observer_1</strong> and <strong>Observer_2</strong>). After unzipping, a folder structure appears. Each folder contains FCSV datasets for 67 nulliparous women in the structure <strong>N</strong>, <strong>X</strong>, <strong>Z</strong>, <strong>Y</strong> line by by line, where <strong>N</strong> is the landmark number and <strong>(X, Y, Z)</strong> are the spacial coordinates. Folder <strong>Figures </strong>contains figures displaying correlations between chosen internal and external body pelvis dimensions. MATLAB function <strong>readData.m</strong> reads the landmark using functions <strong>getLandmarks.m</strong> (contains also description of all landmarks) and calculating internal and external bony pelvis dimensions using and <strong>calculateDimensions.m</strong> (contains also description of all dimensions). Switching between 2 observers on line 5, the function also saves thedata into binary files <strong>Ob</strong><strong>se</strong><strong>rver_1.mat</strong> and <strong>Ob</strong><strong>se</strong><strong>rver_2.mat </strong>to be analyzed: MATLAB function <strong>ICC.m</strong> calculates the Intercall Correlation Coefficient using function <strong>functionICC.m</strong> and also saves the data averaged between both observers to file <strong>Observers.mat</strong> to be processed further: MATLAB <strong>function correlations.m</strong> calculates the correlations among chosen external and internal bony pelvis dimensions using functions<strong> functionCorrelation.m</strong> and <strong>functionInletType.m</strong>. The output is plotted and save to folder <strong>Figures</strong>.
DOI: 10.5281/zenodo.7809038
title: Nulliparous women's bony pelvis anatomical landmarks and dimensions

description: This repository directory contains source data in file <strong>landmarks.zip</strong> related to anatomical landmarks on bony pelvis identified independently by 2 observers from MRI (folders <strong>Observer_1</strong> and <strong>Observer_2</strong>). After unzipping, a folder structure appears. Each folder contains FCSV datasets for 67 nulliparous women in the structure <strong>N</strong>, <strong>X</strong>, <strong>Z</strong>, <strong>Y</strong> line by by line, where <strong>N</strong> is the landmark number and <strong>(X, Y, Z)</strong> are the spacial coordinates. Folder <strong>Figures </strong>contains figures displaying correlations between chosen internal and external body pelvis dimensions. MATLAB function <strong>readData.m</strong> reads the landmark using functions <strong>getLandmarks.m</strong> (contains also description of all landmarks) and calculating internal and external bony pelvis dimensions using and <strong>calculateDimensions.m</strong> (contains also description of all dimensions). Switching between 2 observers on line 5, the function also saves thedata into binary files <strong>Ob</strong><strong>se</strong><strong>rver_1.mat</strong> and <strong>Ob</strong><strong>se</strong><strong>rver_2.mat </strong>to be analyzed: MATLAB function <strong>ICC.m</strong> calculates the Intercall Correlation Coefficient using function <strong>functionICC.m</strong> and also saves the data averaged between both observers to file <strong>Observers.mat</strong> to be processed further: MATLAB <strong>function correlations.m</strong> calculates the correlations among chosen external and internal bony pelvis dimensions using functions<strong> functionCorrelation.m</strong> and <strong>functionInletType.m</strong>. The output is plotted and save to folder <strong>Figures</strong>.
DOI: 10.6084/m9.figshare.22575409
title: weibo_data.sav

description: This study used Weibo microblog records to analyze and compare the changes in the well-being and mobility of people in China in 2020 (when the COVID-19 outbreak was announced) and 2021 (when the vaccine was announced). Python software’s crawling program was used to randomly select 477 users (45.28% of whom were male) and their 16,645 records from January 2020 to April 2021. The word frequency in each microblog text was conceptually defined as a variable, such as self-reference, emotion, and mobility words. Analysis of Weibo user behavior over a year in 2020 and 4 months in 2021 revealed that self-representation (when talking about “I”) had a lower positive affect and higher negative affect at later times than at earlier times. When users discussed “we,” their group identity displayed lower positive affect and more motion behaviors (e.g., shopping and walking outside). However, in 2021, their group identity had a higher positive affect and more motion behaviors, and their self-representation had a lower positive affect and fewer motion behaviors. The implications, limitations, and potential future research are discussed.
DOI: 10.6084/m9.figshare.22575409.v1
title: weibo_data.sav

description: This study used Weibo microblog records to analyze and compare the changes in the well-being and mobility of people in China in 2020 (when the COVID-19 outbreak was announced) and 2021 (when the vaccine was announced). Python software’s crawling program was used to randomly select 477 users (45.28% of whom were male) and their 16,645 records from January 2020 to April 2021. The word frequency in each microblog text was conceptually defined as a variable, such as self-reference, emotion, and mobility words. Analysis of Weibo user behavior over a year in 2020 and 4 months in 2021 revealed that self-representation (when talking about “I”) had a lower positive affect and higher negative affect at later times than at earlier times. When users discussed “we,” their group identity displayed lower positive affect and more motion behaviors (e.g., shopping and walking outside). However, in 2021, their group identity had a higher positive affect and more motion behaviors, and their self-representation had a lower positive affect and fewer motion behaviors. The implications, limitations, and potential future research are discussed.
DOI: 10.6084/m9.figshare.22336033.v1
title: Enhancer-Promoter Linkage Atlas for the Mouse Adipose tissue generated with Enhlink. Insights into Type II Diabetes Mechanisms and Covariate-Specific Regulation

description: These atlases were generated using single-nucleus ATAC-seq datasets from mouse Islet and Adipose tissues. The aim of the single-cell study on the Islet and Adipose tissues was to understand the genetic-specific mechanisms involved in the development of type II diabetes. The researchers created cell-type specific enhancer-promoter atlases for both tissues, identifying which linkages were specific to the strain, diet, and sex and which intersected with the pcHI-C datasets generated from the same tissues. <br> <strong>File descriptions</strong> Each BEDPE file contains genomic links using the 6 first columns to define the enhancer (three first columns) and the promoter (the following three columns). Also, each file refers to a specific cell type written in the file name. The extension pchic refers to the links intersecting the ilset pcHI-C data. The extension unique refers to link unique within a cell type and not found in any of the other cell types.the extension 2ndOrder refers to covariate-specific links with the covariate ID described in one of the columns. Finally, the batch.tsv file describes the covariates associated with each promoter activity. <strong>Methods</strong> We independently processed each cell type of the tissue, considering library ID, sex, diet, and strain as covariates. We applied a p-value cutoff of 0.01 with the secondOrder option and used only 66% of the features, a maximum of 4 features, a depth of 2, and a downsampling size of 15,000 cells to obtain covariate-specific linkages for each tree. We generated a binary cell x promoter sparse matrix by setting 1 for a given gene g and cell c if at least one read from c fell into the promoter regions of g, and used the ATACMatUtils command with the -use_symbol option from the ATACdemultiplex package to create the matrix from the BED file containing the reads and barcode IDs. Finally, we used the enhtools software with the -intersect3 option to intersect the obtained linkage of each cell type with the pcHI-C links of either the Adipose or the Islet tissues. <br> https://gitlab.com/Grouumf/enhlinktools
DOI: 10.34740/kaggle/dsv/5340878
title: AdultoMayor_39_fc
DOI: 10.18434/t44g6p
title: NIST Short Tandem Repeat DNA Internet DataBase
DOI: 10.6084/m9.figshare.22335919.v1
title: Enhancer-Promoter Linkage Atlas for the Mouse Islet tissue generated with Enhlink. Insights into Type II Diabetes Mechanisms and Covariate-Specific Regulation

description: These atlases were generated using single-nucleus ATAC-seq datasets from mouse Islet and Adipose tissues. The aim of the single-cell study on the Islet and Adipose tissues was to understand the genetic-specific mechanisms involved in the development of type II diabetes. The researchers created cell-type specific enhancer-promoter atlases for both tissues, identifying which linkages were specific to the strain, diet, and sex and which intersected with the pcHI-C datasets generated from the same tissues. File descriptions Each BEDPE file contains genomic links using the 6 first columns to define the enhancer (three first columns) and the promoter (the following three columns). Also, each file refers to a specific cell type written in the file name. The extension pchic refers to the links intersecting the ilset pcHI-C data. The extension unique refers to link unique within a cell type and not found in any of the other cell types.the extension 2ndOrder refers to covariate-specific links with the covariate ID described in one of the columns. Finally, the batch.tsv file describes the covariates associated with each promoter activity. Methods We independently processed each cell type of the tissue, considering library ID, sex, diet, and strain as covariates. We applied a p-value cutoff of 0.01 with the secondOrder option and used only 66% of the features, a maximum of 4 features, a depth of 2, and a downsampling size of 15,000 cells to obtain covariate-specific linkages for each tree. We generated a binary cell x promoter sparse matrix by setting 1 for a given gene g and cell c if at least one read from c fell into the promoter regions of g, and used the ATACMatUtils command with the -use_symbol option from the ATACdemultiplex package to create the matrix from the BED file containing the reads and barcode IDs. Finally, we used the enhtools software with the -intersect3 option to intersect the obtained linkage of each cell type with the pcHI-C links of either the Adipose or the Islet tissues. <br> https://gitlab.com/Grouumf/enhlinktools <br>
DOI: 10.25810/zb7c-gf43.38
title: Oceania Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - February 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25919/cv59-ng21
title: Parkes observations for project PX500 semester 2022OCTS_30

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.