cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/abj8-y636
title: weibo_senti_100k and THUCNews

description: Weibo_senti_100k sentiment classification data set is a two-class classification data set, the average length is 42.9 words. This data set contains 100,000 pieces of Sina weibo text data, including two categories.THUCNews news classification data set contains 50,000 pieces of data, the average length is 534.53 words, including 10 categories.
DOI: 10.6084/m9.figshare.20382468
title: Time-lapse fluorescence intensity plots of the CRY2olig clusters in a specific region

description: The quantification of the time-lapse fluorescence intensity of the marked clusters of a specific region activated by a single Bessel beam.
DOI: 10.6084/m9.figshare.20382468.v1
title: Time-lapse fluorescence intensity plots of the CRY2olig clusters in a specific region

description: The quantification of the time-lapse fluorescence intensity of the marked clusters of a specific region activated by a single Bessel beam.
DOI: 10.14469/hpc/10722
title: NMR Spectroscopy. Principles and Application. Six second year lectures given at Imperial College by Henry Rzepa.
DOI: 10.5281/zenodo.6912366
title: Data for the article "Antaeus: a retrograde group of tidal debris in the Milky Way's disk plane"

description: This archive contains the data shared in the context of the "Antaeus: a retrograde group of tidal debris in the Milky Way’s disk plane" (Oria et al. 2022) article. The data are under the form of .csv files containing the information on our sample of Antaeus stars from <em>Gaia</em> DR3, with added orbital information derived from the Milky Way potential of McMillan (2017).
DOI: 10.5281/zenodo.6912365
title: Data for the article "Antaeus: a retrograde group of tidal debris in the Milky Way's disk plane"

description: This archive contains the data shared in the context of the "Antaeus: a retrograde group of tidal debris in the Milky Way’s disk plane" (Oria et al. 2022) article. The data are under the form of .csv files containing the information on our sample of Antaeus stars from <em>Gaia</em> DR3, with added orbital information derived from the Milky Way potential of McMillan (2017).
DOI: 10.6084/m9.figshare.17430290
title: Data for gut microbial changes, function and metabolomics.xlsx

description: Raw data for the effect of FSB and USB on experimental animals (normotensive versus spontaneous hypertensive rats), gut microbial function and gut microbial metabolites in serum and feces.
DOI: 10.6084/m9.figshare.17430290.v2
title: Data for gut microbial changes, function and metabolomics.xlsx

description: Raw data for the effect of FSB and USB on experimental animals (normotensive versus spontaneous hypertensive rats), gut microbial function and gut microbial metabolites in serum and feces.
DOI: 10.6084/m9.figshare.17430290.v1
title: data for gut microbial changes, function and metabolomics.xlsx

description: Raw data for the effect of FSB on experimental animals (normotensive versus spontaneous hypertensive rats), gut microbial function and gut microbial metabolites in serum and feces.
DOI: 10.5281/zenodo.6911930
title: Graph Neural Network dataset : mechanical stress analysis in networks of spherical pores - 6000 samples

description: Graph Neural Network dataset : mechanical stress analysis in networks of spherical pores - 6000 samples unzip, run data_set.py to see how to interact with the dataset using PyTorch Geometric toolbox
DOI: 10.5281/zenodo.6911929
title: Graph Neural Network dataset : mechanical stress analysis in networks of spherical pores - 6000 samples

description: Graph Neural Network dataset : mechanical stress analysis in networks of spherical pores - 6000 samples unzip, run data_set.py to see how to interact with the dataset using PyTorch Geometric toolbox
DOI: 10.5519/qd.l5zl6aqf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (262 records)
DOI: 10.6084/m9.figshare.20338335
title: DNA barcode reference library for the West Sahara-Sahel reptiles

description: This project represents the first and thorough DNA reference barcoding dataset of the reptiles in the Western Sahara Sahel
DOI: 10.15129/5904d034-7db0-4e82-a17a-537a6a9328fa
title: MARGOT: Motif-based pARtitioning of Graphs with OrienTed edges

description: This is an efficient C++ software for partitioning directed networks based on their Motif Adjacency Matrices (MAM). MARGOT enables to partition networks with up to 5M nodes on classic laptops. Moreover, 142 different structures can be used to build the MAMs, as a whole or by differenciating roles played by nodes within those structures. Use-cases are illustrated within the folders AnalysisOfCitation and AnalysisOfFoodweb, to illustrate how to use MARGOT on concrete applications, and what can be expected from it. A scientific preprint describing the software features can be found at https://hal.archives-ouvertes.fr/hal-03699721/document
DOI: 10.25402/cer.20382573
title: Breast conserving surgery versus mastectomy for older women with triple negative breast cancer: population-based study - Supplementary Tables.docx

description: <strong>Supplementary Table S1. Cohort inclusion and exclusion criteria </strong> <strong>Supplementary Table S2.</strong> <strong>Codes used to identity radiation, mastectomy, breast conserving surgery</strong> <strong>Supplementary Table S3. IPTW cox proportional hazards model predicting all-cause mortality</strong> <strong>Supplementary Table S4. IPTW Fine-Gray Subdistribution hazard model for breast cancer death</strong> <strong>Supplementary Table S5a. Multivariate Cox proportional hazards model predicting all-cause mortality after excluding those who survived for only one month</strong> <strong>Supplementary Table S5b. Pairwise comparison - Multivariate Cox proportional hazards model predicting all-cause mortality after excluding those who survived for a month or less</strong> <strong>Supplementary Table S6a. Fine-Gray Subdistribution hazard model for breast cancer death after excluding those who survived for a month or less</strong> <strong>Supplementary Table S6b. Pairwise comparison - Fine-Gray Subdistribution hazard model for breast cancer death after excluding those who survived for a month or less</strong> <strong>Supplementary Table S7a. Continuous age and tumor size broke further - Multivariate Cox proportional hazards model predicting all-cause mortality</strong> <strong>Supplementary Table S7b. Pairwise comparison - Continuous age and tumor size broke further - Multivariate Cox proportional hazards model predicting all-cause mortality</strong> <strong>Supplementary Table S8a: Continuous age and tumor size broke further - Fine-Gray Subdistribution hazard model for breast cancer death</strong> <strong>Supplementary Table S8b. Pairwise comparison - Continuous age and tumor size broke further - Fine-Gray Subdistribution hazard model for breast cancer death</strong> <strong>Supplementary Table S9: Chemotherapy receipt by treatment</strong> <strong>Supplementary Table S10a. Multivariate Cox proportional hazards model predicting all-cause mortality including chemotherapy adjustment</strong> <strong>Supplementary Table S10b. Pairwise Comparison - multivariate Cox proportional hazards model predicting all-cause mortality including chemotherapy adjustment</strong> <strong>Supplementary Table S11a: Fine-Gray Subdistribution hazard model for breast cancer death including chemotherapy adjustment</strong> <br> <strong>Supplementary Table S11b. Pairwise comparison -</strong> <strong>Fine-Gray Subdistribution hazard model for breast cancer death including chemotherapy adjustment</strong> <strong>Supplementary Table S12. Factors associated with receiving radiotherapy after breast conserving surgery</strong>
DOI: 10.25402/cer.20382573.v1
title: Breast conserving surgery versus mastectomy for older women with triple negative breast cancer: population-based study - Supplementary Tables.docx

description: <strong>Supplementary Table S1. Cohort inclusion and exclusion criteria </strong> <strong>Supplementary Table S2.</strong> <strong>Codes used to identity radiation, mastectomy, breast conserving surgery</strong> <strong>Supplementary Table S3. IPTW cox proportional hazards model predicting all-cause mortality</strong> <strong>Supplementary Table S4. IPTW Fine-Gray Subdistribution hazard model for breast cancer death</strong> <strong>Supplementary Table S5a. Multivariate Cox proportional hazards model predicting all-cause mortality after excluding those who survived for only one month</strong> <strong>Supplementary Table S5b. Pairwise comparison - Multivariate Cox proportional hazards model predicting all-cause mortality after excluding those who survived for a month or less</strong> <strong>Supplementary Table S6a. Fine-Gray Subdistribution hazard model for breast cancer death after excluding those who survived for a month or less</strong> <strong>Supplementary Table S6b. Pairwise comparison - Fine-Gray Subdistribution hazard model for breast cancer death after excluding those who survived for a month or less</strong> <strong>Supplementary Table S7a. Continuous age and tumor size broke further - Multivariate Cox proportional hazards model predicting all-cause mortality</strong> <strong>Supplementary Table S7b. Pairwise comparison - Continuous age and tumor size broke further - Multivariate Cox proportional hazards model predicting all-cause mortality</strong> <strong>Supplementary Table S8a: Continuous age and tumor size broke further - Fine-Gray Subdistribution hazard model for breast cancer death</strong> <strong>Supplementary Table S8b. Pairwise comparison - Continuous age and tumor size broke further - Fine-Gray Subdistribution hazard model for breast cancer death</strong> <strong>Supplementary Table S9: Chemotherapy receipt by treatment</strong> <strong>Supplementary Table S10a. Multivariate Cox proportional hazards model predicting all-cause mortality including chemotherapy adjustment</strong> <strong>Supplementary Table S10b. Pairwise Comparison - multivariate Cox proportional hazards model predicting all-cause mortality including chemotherapy adjustment</strong> <strong>Supplementary Table S11a: Fine-Gray Subdistribution hazard model for breast cancer death including chemotherapy adjustment</strong> <br> <strong>Supplementary Table S11b. Pairwise comparison -</strong> <strong>Fine-Gray Subdistribution hazard model for breast cancer death including chemotherapy adjustment</strong> <strong>Supplementary Table S12. Factors associated with receiving radiotherapy after breast conserving surgery</strong>
DOI: 10.6084/m9.figshare.20382630
title: message framing & vaccination attitudes.xlsx

description: message framing & vaccination attitudes
DOI: 10.6084/m9.figshare.20382630.v1
title: message framing & vaccination attitudes.xlsx

description: message framing & vaccination attitudes
DOI: 10.48323/tc8j2-4c904
title: The effect of random shocks on reciprocal behavior in dynamic principal-agent settings
DOI: 10.6084/m9.figshare.20382579
title: Supplementary Material for: Humoral Response to the Third Dose of BNT162b2 COVID-19 Vaccine among Hemodialysis Patients

description: <b><i>Background:</i></b> Hemodialysis patients are at high risk for severe COVID-19 disease. Despite a high early seropositivity rate, dialysis patients mount a dampened immune response following two doses of an mRNA vaccine. This study aimed to evaluate the serologic response to a booster dose of BNT162b2 vaccine, 6 months after the second dose, among hemodialysis patients. <b><i>Methods:</i></b> This prospective study included 80 hemodialysis patients and 56 healthcare workers serving as controls. Serologic samples were evaluated before and ∼3 weeks after the third vaccine dose. The primary outcomes were the seropositivity rate and the log-transformed anti-SARS-COV-2 S1 (RBD) IgG as a continuous variable after the third dose. Secondary outcomes were the proportion of participants with “high response,” defined as antibody levels &gt;1,000 AU/mL, and “robust response,” defined as antibody levels &gt;4,160 AU/mL, according to prespecified cutoff values associated with neutralizing antibodies. Univariate and multivariate analyses were conducted to identify predictors of antibody response. <b><i>Results:</i></b> Among 80 hemodialysis patients, seropositivity rates improved from 78% (62/80) before the third dose, up to 96% (77/80) after the booster dose. The S1-RBD log-transformed antibody level increased significantly following the third dose from 2.15 ± 0.75 to 3.99 ± 0.83 compared with 2.65 ± 0.4 to 4.31 ± 0.42 in the control group. Among the hemodialysis patients, 88% (70/80) became “high responders” (&gt;1,000 AU/mL), and of these, 79% (63/80) mounted a “robust response” (&gt;4,160 AU/mL). Baseline antibody level, dialysis therapy, and hypoalbuminemia were independent predictors of impaired antibody response. <b><i>Conclusions:</i></b> A third dose of BNT162b2 COVID-19 vaccine, 6 months after the standard two-dose vaccination regimen, substantially improved humoral response in hemodialysis patients.
DOI: 10.6084/m9.figshare.20382579.v1
title: Supplementary Material for: Humoral Response to the Third Dose of BNT162b2 COVID-19 Vaccine among Hemodialysis Patients

description: <b><i>Background:</i></b> Hemodialysis patients are at high risk for severe COVID-19 disease. Despite a high early seropositivity rate, dialysis patients mount a dampened immune response following two doses of an mRNA vaccine. This study aimed to evaluate the serologic response to a booster dose of BNT162b2 vaccine, 6 months after the second dose, among hemodialysis patients. <b><i>Methods:</i></b> This prospective study included 80 hemodialysis patients and 56 healthcare workers serving as controls. Serologic samples were evaluated before and ∼3 weeks after the third vaccine dose. The primary outcomes were the seropositivity rate and the log-transformed anti-SARS-COV-2 S1 (RBD) IgG as a continuous variable after the third dose. Secondary outcomes were the proportion of participants with “high response,” defined as antibody levels &gt;1,000 AU/mL, and “robust response,” defined as antibody levels &gt;4,160 AU/mL, according to prespecified cutoff values associated with neutralizing antibodies. Univariate and multivariate analyses were conducted to identify predictors of antibody response. <b><i>Results:</i></b> Among 80 hemodialysis patients, seropositivity rates improved from 78% (62/80) before the third dose, up to 96% (77/80) after the booster dose. The S1-RBD log-transformed antibody level increased significantly following the third dose from 2.15 ± 0.75 to 3.99 ± 0.83 compared with 2.65 ± 0.4 to 4.31 ± 0.42 in the control group. Among the hemodialysis patients, 88% (70/80) became “high responders” (&gt;1,000 AU/mL), and of these, 79% (63/80) mounted a “robust response” (&gt;4,160 AU/mL). Baseline antibody level, dialysis therapy, and hypoalbuminemia were independent predictors of impaired antibody response. <b><i>Conclusions:</i></b> A third dose of BNT162b2 COVID-19 vaccine, 6 months after the standard two-dose vaccination regimen, substantially improved humoral response in hemodialysis patients.
DOI: 10.6084/m9.figshare.14546985
title: MICROPLASTICS INCREASE SOIL PH AND DECREASE MICROBIAL ACTIVITIES AS A FUNCTION OF MICROPLASTIC SHAPE, POLYMER TYPE, AND EXPOSURE TIME- original data.xlsx

description: The data is for a laboratory study in that different secondary microplastics were evaluated to test their effects on soil pH, soil respiration, and enzymatic activities (acid phosphatase, β-D-glucosidase, cellobiosidase, and N-acetyl-β-glucosaminidase). The plastics represented four microplastic shapes: fibers, films, foams, and fragments; and eight polymer types: polyamide (PA), polycarbonate (PC), polyethylene (PE), polyester (PES), polyethylene terephthalate (PET), polypropylene (PP), polystyrene (PS), and polyurethane (PU). The microplastics were mixed with soil (0.4 % w/w) and incubated at 25 ℃ for 31 days. Then, we collected soil samples on the 3rd, 11th, and 31st day.
DOI: 10.6084/m9.figshare.20382642
title: Supplementary Material for: Curcumin Suppresses the Progression of Colorectal Cancer by Improving Immunogenic Cell Death Caused by Irinotecan

description: <b><i>Background:</i></b> Irinotecan (IRI) is a common chemotherapeutic drug for colorectal cancer; however, the mechanism underlying its immunomodulatory effect remains unclear. Curcumin (CUR), an adjuvant drug with anti-inflammatory and antitumor effects, has been studied extensively, although its synergistic antitumor effect remains unclear. <b><i>Methods:</i></b> The effects of CUR and IRI on oxidative stress and their antitumor effects were detected by flow cytometry. Endoplasmic reticulum stress-related proteins including CHOP and BiP, and immunogenic cell death (ICD) proteins including calreticulin (CALR) and high mobility group box 1 (HMGB1), were detected by Western blotting. IFN-γ and TNF-α levels in the serum of mice were detected by ELISA. <b><i>Results:</i></b> IRI in combination with CUR had synergistic antitumor effects in CT-26 colon carcinoma cells. Combination treatment with IRI and CUR was more effective than IRI or CUR alone. IRI and CUR combination treatment significantly upregulated ICD-related proteins including CALR and HMGB1 and had a greater antitumor effect than IRI or CUR single treatment in vivo. CUR may synergistically improve the antitumor effect of IRI by promoting the ICD effect. <b><i>Conclusion:</i></b> Combination therapy with IRI and CUR may be an option for first-line chemotherapy in some patients with advanced colorectal cancer.
DOI: 10.6084/m9.figshare.20374485
title: Supplementary Information_Illegal trade of marine species in India_ 2015-2021.pdf

description: <strong>Lewis, R., Deshpande, K., Mendis, A., Patankar, V., Mendiratta, U. (2022). Illegal trade of marine species in India: 2015-2021. Wildlife Conservation Society- India Report.</strong> <br> Supplementary Information (Report: Illegal trade of marine species in India: 2015-2021)
DOI: 10.6084/m9.figshare.20374485.v1
title: Supplementary Information_Illegal trade of marine species in India_ 2015-2021.pdf

description: <strong>Lewis, R., Deshpande, K., Mendis, A., Patankar, V., Mendiratta, U. (2022). Illegal trade of marine species in India: 2015-2021. Wildlife Conservation Society- India Report.</strong> <br> Supplementary Information (Report: Illegal trade of marine species in India: 2015-2021)
DOI: 10.6084/m9.figshare.20194691.v1
title: Supplementary Material for: Formin like 2 is a potential biomarker of poor prognosis in nasopharyngeal carcinoma

description: Introduction: Nasopharyngeal carcinoma (NPC) is the most common malignant tumor in southern China and Southeast Asia. Although substantial research on NPC has been conducted, the resulting improvement in clinical outcomes remains very disappointing. NPC treatment typically involves radiation therapy and chemotherapy, but the high incidence of metastasis and recurrence in NPC patients result in poor survival. Therefore, identifying potential biomarkers and discovering therapeutic targets are necessary to design tailored treatments based on the genetic profiles of NPC patients. Methods: Correlations of protein immunostaining with clinicopathological features were analyzed by Pearson’s chi-square test. The Kaplan–Meier method with a log-rank test was used to generate survival curves. Multivariate analysis was performed using the Cox proportional hazards model. Results: In this study, we comparatively analyzed cytoskeletal organization and biogenesis (GO:0007010) and tumorigenesis in the NPC transcriptome (GSE12452) and found that formin like 2 (FMNL2) expression was significantly upregulated in NPC tumor tissues. Moreover, high FMNL2 expression was significantly correlated with primary tumor stage (p value=0.001), lymph node status (p value=0.004), cancer stage (p value=0.006), and histological grade (p value=0.040). More importantly, high FMNL2 expression was significantly correlated with poor survival in NPC patients according to univariate analysis and multivariate analysis. Conclusion: This study reveals that FMNL2 may be an important potential biomarker for evaluating the prognosis of NPC patients.
DOI: 10.5281/zenodo.4916120
title: Quantum Information Scrambling in a Trapped-Ion Quantum Simulator with Tunable Range Interactions

description: The data repository folder, " OTOCPaperData.zip" contains the data used in our manuscript <strong><em>Joshi et al., Phys. Rev. Lett. 124, 240505 (2020)</em></strong> and also available at arXiv:2001.02176. The folder contains further subfolders with self-explanatory names and description files to aid in reusing the data for any future purposes.
description: Other finding agencies that supported our research are 1) Simons Collaboration on Ultra-Quantum Matter, a grant from the Simons Foundation (651440, P. Z.) 2) LASCEM by AFOSR No. 64896-PH-QC. 3) Austrian Science Fund through the SFB BeyondC (F71)
DOI: 10.5281/zenodo.4916119
title: Quantum Information Scrambling in a Trapped-Ion Quantum Simulator with Tunable Range Interactions

description: The data repository folder, " OTOCPaperData.zip" contains the data used in our manuscript <strong><em>Joshi et al., Phys. Rev. Lett. 124, 240505 (2020)</em></strong> and also available at arXiv:2001.02176. The folder contains further subfolders with self-explanatory names and description files to aid in reusing the data for any future purposes.
description: Other finding agencies that supported our research are 1) Simons Collaboration on Ultra-Quantum Matter, a grant from the Simons Foundation (651440, P. Z.) 2) LASCEM by AFOSR No. 64896-PH-QC. 3) Austrian Science Fund through the SFB BeyondC (F71)
DOI: 10.15129/14c3c730-a959-468f-8e72-30bbabf2540e
title: Data for: "Bulk localized transport states in infinite and finite quasicrystals via magnetic aperiodicity"

description: The data to generate all results figures for the paper "Bulk localized transport states in infinite and finite quasicrystals via magnetic aperiodicity" is contained in 'DataBLT.zip'. Data is stored in .mat data files and all plots can be generated by running the corresponding .m matlab file. Each figure has a dedicated folder with all that is needed to generate the figure of the corresponding number in the published paper. See the ReadMe.txt file for more information.
DOI: 10.17034/d6be02fe-272e-4720-8258-2f20f9bef82d
title: Participant interview schedule based on the components of Situated Cognition Learning Theory

description: This dataset demonstrates an interview schedule developed to ascertain the impact the Situated Cognition Learning Theory had on the student learning experience when adopted as part of a blended learing skills based education programme. This dataset would be of interest to researchers engaging in research within the research fields of social science, health care professions, education and skills-based education.
DOI: 10.17034/2f0ea784-58f6-4d59-88cf-ef32b41c81e4
title: Excerpts from focus group dataset

description: This dataset includes data collected from a focus group involving 3 participants who were lecturers on a skills based education programme that incorporated the Situated Cognition Learning theory (SCLT). It took place following analysis of individual interviews from student participants who had experienced a skills based education programme based on the principles of SCLT. It will be of interest to researchers engaging in data collection of focus groups within the research fields of social science, nursing, midwifery and education. It directly correlates to research based on practical skills and also research associated with the SCLT.