cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14346116
title: Supplementary Material for: Spatial Intratumoral Heterogeneity Expression of PD-L1 Antigen in Head and Neck Squamous Cell Carcinoma

description: <b><i>Introduction:</i></b> Immune-checkpoint inhibitors have demonstrated a significant survival benefit in metastatic and non-resectable head and neck squamous cell carcinoma (HNSCC). Patients with a combined positivity score (CPS) of 20 and higher benefit the most from therapy. Inaccurate definition of the CPS category might lead to the incorrect stratification of patients to immunotherapy. This study’s main aim was to investigate programmed death-ligand 1 (PD-L1) antigen expression in HNSCC in diverse clinical situations and histological settings. <b><i>Materials and Methods:</i></b> This is a prospective cohort study conducted in a tertiary referral medical center. Tissues were investigated for PD-L1 expression using the FDA-approved 22C3 immunohistochemistry assay (Dako). We analyzed potential associations between the CPS category and meaningful demographic, clinical, and outcome metrics. Furthermore, we investigated morphologically separate sites for CPS scores in whole surgical tissue specimens and matched preoperative biopsies. <b><i>Results:</i></b> We analyzed 36 patients, of whom 26 had oral cavity SCC and 10 had laryngeal SCC. The overall, disease-specific, and progression-free survival of the HNSCC group of patients were not associated with the CPS category (<i>p</i> = 0.45, <i>p</i> = 0.31, and <i>p</i> = 0.88, respectively). There was a significant (18%, 95% CI 0.65–0.9) inconsistency between the CPS category determined in biopsies versus whole carcinoma analyses. We also found an uneven distribution of whole-tumor CPS attributed to spatial carcinoma invasiveness, tumor differentiation, and inflammatory cell infiltration heterogeneity. <b><i>Discussion and Conclusions:</i></b> Our data suggest that careful selection of tumor area for CPS analysis is important. PD-L1 antigen expression, clinically represented by CPS, may be up- or down-categorized in different clinical and pathological circumstances. The high whole-tissue CPS category scatter may clinically result in potential treatment modifications. We argue that CPS analysis requires not only adequacy (at least 100 viable tumor cells), but also correct representation of the tumor microenvironment.
DOI: 10.6084/m9.figshare.14346116.v1
title: Supplementary Material for: Spatial Intratumoral Heterogeneity Expression of PD-L1 Antigen in Head and Neck Squamous Cell Carcinoma

description: <b><i>Introduction:</i></b> Immune-checkpoint inhibitors have demonstrated a significant survival benefit in metastatic and non-resectable head and neck squamous cell carcinoma (HNSCC). Patients with a combined positivity score (CPS) of 20 and higher benefit the most from therapy. Inaccurate definition of the CPS category might lead to the incorrect stratification of patients to immunotherapy. This study’s main aim was to investigate programmed death-ligand 1 (PD-L1) antigen expression in HNSCC in diverse clinical situations and histological settings. <b><i>Materials and Methods:</i></b> This is a prospective cohort study conducted in a tertiary referral medical center. Tissues were investigated for PD-L1 expression using the FDA-approved 22C3 immunohistochemistry assay (Dako). We analyzed potential associations between the CPS category and meaningful demographic, clinical, and outcome metrics. Furthermore, we investigated morphologically separate sites for CPS scores in whole surgical tissue specimens and matched preoperative biopsies. <b><i>Results:</i></b> We analyzed 36 patients, of whom 26 had oral cavity SCC and 10 had laryngeal SCC. The overall, disease-specific, and progression-free survival of the HNSCC group of patients were not associated with the CPS category (<i>p</i> = 0.45, <i>p</i> = 0.31, and <i>p</i> = 0.88, respectively). There was a significant (18%, 95% CI 0.65–0.9) inconsistency between the CPS category determined in biopsies versus whole carcinoma analyses. We also found an uneven distribution of whole-tumor CPS attributed to spatial carcinoma invasiveness, tumor differentiation, and inflammatory cell infiltration heterogeneity. <b><i>Discussion and Conclusions:</i></b> Our data suggest that careful selection of tumor area for CPS analysis is important. PD-L1 antigen expression, clinically represented by CPS, may be up- or down-categorized in different clinical and pathological circumstances. The high whole-tissue CPS category scatter may clinically result in potential treatment modifications. We argue that CPS analysis requires not only adequacy (at least 100 viable tumor cells), but also correct representation of the tumor microenvironment.
DOI: 10.6084/m9.figshare.14346125
title: Supplementary Material for: Chikungunya and the Heart

description: <b><i>Introduction:</i></b> Neglected tropical diseases are a group of communicable diseases that occur in tropical and subtropical conditions and are closely related to poverty and inadequate sanitation conditions. Among these entities, chikungunya remains one of the most widely spread diseases. Although the main symptoms are related to a febrile syndrome, cardiovascular (CV) involvement has been reported, with short- and long-term implications. As part of the “Neglected Tropical Diseases and other Infectious Diseases involving the Heart” (NET-Heart) Project, the aim of this review is to compile all the information available regarding CV involvement of this disease, to help healthcare providers gain knowledge in this field, and contribute to improving early diagnosis, treatment, and prevention strategies. <b><i>Methods:</i></b> We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement in conducting and reporting this systematic review. The search was conducted using MEDLINE/PubMed, SciELO, and LILACS databases to identify any relevant studies or reviews detailing an association between chikungunya and cardiac involvement published from January 1972 to May 31, 2020. <b><i>Results:</i></b> Despite its mechanism not being fully understood, CV involvement has been described as the most frequent atypical presentation of chikungunya (54.2%). Myocarditis is the most prevalent CV complication. Different rhythm disturbances have been reported in 52% of cases, whereas heart failure was reported in 15% of cases, pericarditis in 5%, and acute myocardial infarction in 2%. Overall estimated CV mortality is 10%, although in patients with other comorbidities, it may increase up to 20%. In the proper clinical setting, the presence of fever, polyarthralgia, and new-onset arrhythmia suggests chikungunya virus-related myocarditis. <b><i>Conclusion:</i></b> Although most cases are rarely fatal, CV involvement in chikungunya infection remains the most frequent atypical presentation of this disease and may have severe manifestations. Timely diagnosis and appropriate management are necessary to improve patient outcomes.
DOI: 10.6084/m9.figshare.14346125.v1
title: Supplementary Material for: Chikungunya and the Heart

description: <b><i>Introduction:</i></b> Neglected tropical diseases are a group of communicable diseases that occur in tropical and subtropical conditions and are closely related to poverty and inadequate sanitation conditions. Among these entities, chikungunya remains one of the most widely spread diseases. Although the main symptoms are related to a febrile syndrome, cardiovascular (CV) involvement has been reported, with short- and long-term implications. As part of the “Neglected Tropical Diseases and other Infectious Diseases involving the Heart” (NET-Heart) Project, the aim of this review is to compile all the information available regarding CV involvement of this disease, to help healthcare providers gain knowledge in this field, and contribute to improving early diagnosis, treatment, and prevention strategies. <b><i>Methods:</i></b> We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement in conducting and reporting this systematic review. The search was conducted using MEDLINE/PubMed, SciELO, and LILACS databases to identify any relevant studies or reviews detailing an association between chikungunya and cardiac involvement published from January 1972 to May 31, 2020. <b><i>Results:</i></b> Despite its mechanism not being fully understood, CV involvement has been described as the most frequent atypical presentation of chikungunya (54.2%). Myocarditis is the most prevalent CV complication. Different rhythm disturbances have been reported in 52% of cases, whereas heart failure was reported in 15% of cases, pericarditis in 5%, and acute myocardial infarction in 2%. Overall estimated CV mortality is 10%, although in patients with other comorbidities, it may increase up to 20%. In the proper clinical setting, the presence of fever, polyarthralgia, and new-onset arrhythmia suggests chikungunya virus-related myocarditis. <b><i>Conclusion:</i></b> Although most cases are rarely fatal, CV involvement in chikungunya infection remains the most frequent atypical presentation of this disease and may have severe manifestations. Timely diagnosis and appropriate management are necessary to improve patient outcomes.
DOI: 10.5519/qd.v1fu4dot
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.48370/ofd/9ahgbm
title: Cladosporium populicola K. Schub. U. Braun, 4299

description: Fungarium Mikromycetes
DOI: 10.5255/ukda-sn-854598
title: The Annexation of Populations: A New State Strategy, 2017-2021

description: The empirical data included here was gathered to address the research question, why do Russia and Hungary conduct extraterritorial naturalisations? Two forms of data are included. The first set of data takes the form of transcripts from interviews conducted with 52 policymakers and stakeholders relevant to the Russian and Hungarian extraterritorial naturalisation practices during two fieldwork trips, one in 2017 and one in 2019. These interviews were sourced by contacting the participant through their official email or postal addresses. One interview was conducted with a citizen via online video conferencing software. This participant was sourced from a flyer placed in a university in Tallinn, Estonia. These interviews were conducted in Latvia, Lithuania, Estonia, Ukraine, Slovakia, Hungary, Serbia, Romania, and Georgia. All of these regions were relevant to the subject of the research project. The second set of data includes transcripts from almost all publicly available statements made by the Presidents of Russia (between 2000 and 2018), Vladimir Putin and Dmitry Medvedev, and the Prime Minister of Hungary, Viktor Orbán (between 2014 and 2018). These transcripts were obtained by conducting a 'web scrape' using computer software Python, from the websites of the Kremlin and the Hungarian government respectively. The relevant documentation and coding is included in the folder.
DOI: 10.6084/m9.figshare.14346137
title: team data

description: SPSS file with data on 107 student teams in an HR simulation
DOI: 10.6084/m9.figshare.14331734
title: Sentinel-2A image

description: Sentinel-2A multispectral image
DOI: 10.5281/zenodo.4650475
title: Data for MS: Needles in a Haystack: H-bonding in an Optogenetic Protein observed with Isotope Labeling and 2D-IR Spectroscopy

description: Data for MS: Needles in a Haystack: H-bonding in an Optogenetic Protein observed with Isotope Labeling and 2D-IR Spectroscopy
DOI: 10.5281/zenodo.4650474
title: Data for MS: Needles in a Haystack: H-bonding in an Optogenetic Protein observed with Isotope Labeling and 2D-IR Spectroscopy

description: Data for MS: Needles in a Haystack: H-bonding in an Optogenetic Protein observed with Isotope Labeling and 2D-IR Spectroscopy
DOI: 10.5281/zenodo.4559690
title: A Small Molecule Targeting Human MEK1/2 Enhances ERK and p38 Phosphorylation under Oxidative Stress or with Phenothiazines

description: File contains PCR data and Supplementary Figures.
DOI: 10.5281/zenodo.4559689
title: A Small Molecule Targeting Human MEK1/2 Enhances ERK and p38 Phosphorylation under Oxidative Stress or with Phenothiazines

description: File contains PCR data and Supplementary Figures.
DOI: 10.15468/7n49e7
title: Revision of Sthenelais Kinberg, 1856, Fimbriosthenelais Pettibone, 1971 and Eusthenelais McIntosh, 1876 (Polychaeta, Sigalionidae) in the Northeast Atlantic

description: This dataset contains the digitized treatments in Plazi based on the original journal article Barnich, Ruth, Haaren, Ton Van (2021): Revision of Sthenelais Kinberg, 1856, Fimbriosthenelais Pettibone, 1971 and Eusthenelais McIntosh, 1876 (Polychaeta, Sigalionidae) in the Northeast Atlantic. European Journal of Taxonomy 740: 138-171, DOI: https://doi.org/10.5852/ejt.2021.740.1287, URL: http://dx.doi.org/10.5852/ejt.2021.740.1287
DOI: 10.5281/zenodo.4647957
title: Dataset for Mapping Stellar Surfaces I: Degeneracies in the rotational light curve problem

description: Dataset used in the generation of the figures in Luger et al. (2021).
description: {"references": ["Luger et al. (2021), arXiv:2102.00007"]}
DOI: 10.5281/zenodo.4647956
title: Dataset for Mapping Stellar Surfaces I: Degeneracies in the rotational light curve problem

description: Dataset used in the generation of the figures in Luger et al. (2021).
description: {"references": ["Luger et al. (2021), arXiv:2102.00007"]}
DOI: 10.6084/m9.figshare.14346263
title: Supplementary Material for: Impact of Comorbidity Burden on Cognitive Decline: A Prospective Cohort Study of Older Adults with Dementia

description: <b><i>Introduction:</i></b> The lack of longitudinal data of comorbidity burden makes the association between comorbidity and cognitive decline inconclusive. We aimed to measure comorbidity and assess its effects on cognitive decline in mild to moderate dementia. <b><i>Methods:</i></b> This was a prospective cohort study. The participants were enrolled from the Hualien Tzu Chi Hospital between January 2015 and December 2018. We enrolled 175 older adults with mild to moderate dementia and conducted in-person interviews to follow-up comorbidity and cognitive function annually. The comorbidity burden indices included Cumulative Illness Rating Scale for Geriatrics (CIRS-G), Charlson Comorbidity Index (CCI), and Medication Regimen Complexity Index (MRCI), and cognitive function was measured by Mini-Mental State Examination (MMSE) and clock drawing test. We employed the generalized estimating equations to assess the longitudinal effect of time-varying comorbidity burden on cognitive decline after adjusting for age, sex, and education. <b><i>Results:</i></b> Most patients were diagnosed with Alzheimer’s disease (88.6%) and in the early stage of dementia (Clinical Dementia Rating [CDR] = 0.5, 57.1%; CDR = 1, 36.6%). Multimorbidity was common (median: 3), and the top 3 most common comorbidities were osteoarthritis (67.4%), hypertension (65.7%), and hyperlipidemia (36.6%). The severity index of CIRS-G was significantly associated with cognitive decline in MMSE after adjusting for age, sex, and education. CCI and MRCI scores were, however, not associated with cognitive function. <b><i>Conclusion:</i></b> The severity index of CIRS-G outperforms CCI and MRCI in reflecting the longitudinal effect of comorbidity burden on cognitive decline in mild to moderate dementia.
DOI: 10.6084/m9.figshare.14346263.v1
title: Supplementary Material for: Impact of Comorbidity Burden on Cognitive Decline: A Prospective Cohort Study of Older Adults with Dementia

description: <b><i>Introduction:</i></b> The lack of longitudinal data of comorbidity burden makes the association between comorbidity and cognitive decline inconclusive. We aimed to measure comorbidity and assess its effects on cognitive decline in mild to moderate dementia. <b><i>Methods:</i></b> This was a prospective cohort study. The participants were enrolled from the Hualien Tzu Chi Hospital between January 2015 and December 2018. We enrolled 175 older adults with mild to moderate dementia and conducted in-person interviews to follow-up comorbidity and cognitive function annually. The comorbidity burden indices included Cumulative Illness Rating Scale for Geriatrics (CIRS-G), Charlson Comorbidity Index (CCI), and Medication Regimen Complexity Index (MRCI), and cognitive function was measured by Mini-Mental State Examination (MMSE) and clock drawing test. We employed the generalized estimating equations to assess the longitudinal effect of time-varying comorbidity burden on cognitive decline after adjusting for age, sex, and education. <b><i>Results:</i></b> Most patients were diagnosed with Alzheimer’s disease (88.6%) and in the early stage of dementia (Clinical Dementia Rating [CDR] = 0.5, 57.1%; CDR = 1, 36.6%). Multimorbidity was common (median: 3), and the top 3 most common comorbidities were osteoarthritis (67.4%), hypertension (65.7%), and hyperlipidemia (36.6%). The severity index of CIRS-G was significantly associated with cognitive decline in MMSE after adjusting for age, sex, and education. CCI and MRCI scores were, however, not associated with cognitive function. <b><i>Conclusion:</i></b> The severity index of CIRS-G outperforms CCI and MRCI in reflecting the longitudinal effect of comorbidity burden on cognitive decline in mild to moderate dementia.
DOI: 10.6084/m9.figshare.14346089
title: PBMC_3K_10XMultiome.h5ad

description: cell X gene peak count matrix
DOI: 10.6084/m9.figshare.14346089.v1
title: PBMC_3K_10XMultiome.h5ad

description: cell X gene peak count matrix
DOI: 10.18716/nmrshiftdb2/76432
title: NMR data for pyridine-2,6-dicarbaldehyde
DOI: 10.25345/c57v4t
title: MassIVE MSV000087133 - Phenolic standard compounds by direct-infusion negative ESI tandem Orbitrap MS
title: This dataset consists of fragmentation data (MS2, MS3) obtained from a set of 14 standard compounds. The standards were measured in 2017 in negative ESI mode at collision energies from 10-40 (CID, N2) and 30-130 (HCD, N2). Each MS/MS spectrum was obtained by averaging 150 scans. For some product ions, also MS3 were acquired. See the upcoming manuscript for further details.
DOI: 10.6073/pasta/9d8858b467776ed6fd39d494827ea0e5
title: Rainfall at El Verde Field Station, Rio Grande, Puerto Rico since 1975

description: Rainfall has been measured at the El Verde Field Station since 1964. McDowell and Estrada-Pinto, 1988 presents a description of the collection procedures, raw data from 1964 to 1986, and some summary statistics for this period of record. Precipitation for this period showed some seasonality in monthly means, with a peak in May. Monthly averages for the period of 1975 to current chart can be found at this site. The highest values for the monthly averages for the period of 1975 to 2000 are from August to December with a low in October and November the highest. In this period the highest amount of total annual rainfall was in 1998 with 5293.61 mm and the minimum in 1994 with 1402.87 mm.
DOI: 10.5281/zenodo.4621082
title: Alternate without alternative: Neither preference nor learning explains behaviour of C57BL/6J mice in the T-maze - Dataset

description: This deposit contains the choice dataset belonging to the publication with the title "Alternate without alternative: Neither preference nor learning explains behaviour of C57BL/6J mice in the T-maze". A preprint version of the paper was published on bioRxiv: https://doi.org/10.1101/2020.11.11.377788
DOI: 10.5281/zenodo.4621081
title: Alternate without alternative: Neither preference nor learning explains behaviour of C57BL/6J mice in the T-maze - Dataset

description: This deposit contains the choice dataset belonging to the publication with the title "Alternate without alternative: Neither preference nor learning explains behaviour of C57BL/6J mice in the T-maze". A preprint version of the paper was published on bioRxiv: https://doi.org/10.1101/2020.11.11.377788
DOI: 10.5517/ccdc.csd.cc24vy10
title: CCDC 1992092: Experimental Crystal Structure Determination

description: Related Article: Sheng Zhang, Nan Shen, Jiangwei Zhang, Fang Xu, Jin Zhang, Jiamin Tang, Dengwei Hu, Bing Yin, Sanping Chen|2021|Dalton Trans.|50|624|doi:10.1039/D0DT03477K
DOI: 10.5517/ccdc.csd.cc24vy21
title: CCDC 1992093: Experimental Crystal Structure Determination

description: Related Article: Sheng Zhang, Nan Shen, Jiangwei Zhang, Fang Xu, Jin Zhang, Jiamin Tang, Dengwei Hu, Bing Yin, Sanping Chen|2021|Dalton Trans.|50|624|doi:10.1039/D0DT03477K
DOI: 10.5517/ccdc.csd.cc24vy43
title: CCDC 1992095: Experimental Crystal Structure Determination

description: Related Article: Sheng Zhang, Nan Shen, Jiangwei Zhang, Fang Xu, Jin Zhang, Jiamin Tang, Dengwei Hu, Bing Yin, Sanping Chen|2021|Dalton Trans.|50|624|doi:10.1039/D0DT03477K
DOI: 10.5517/ccdc.csd.cc259wcr
title: CCDC 2005494: Experimental Crystal Structure Determination

description: Related Article: I. Cvrtila, V. Stilinović|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|211|doi:10.1107/S2052520621000275
DOI: 10.5517/ccdc.csd.cc259wds
title: CCDC 2005495: Experimental Crystal Structure Determination

description: Related Article: I. Cvrtila, V. Stilinović|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|211|doi:10.1107/S2052520621000275
DOI: 10.5517/ccdc.csd.cc25fms1
title: CCDC 2009103: Experimental Crystal Structure Determination

description: Related Article: N.V. May, K. Nys, H.Y.V. Ching, L. Bereczki, T. Holczbauer, V.B. Di Marco, P. Bombicz|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|193|doi:10.1107/S2052520621000299
DOI: 10.5517/ccdc.csd.cc26zmb5
title: CCDC 2055217: Experimental Crystal Structure Determination

description: Related Article: Mingyu Fan, Yin Cheng, Bing Fang, Liming Lai, Meizhen Yin|2021|Dyes Pigm.|190|109311|doi:10.1016/j.dyepig.2021.109311
DOI: 10.5517/ccdc.csd.cc25vv1y
title: CCDC 2021790: Experimental Crystal Structure Determination

description: Related Article: F. Safari, A. Katrusiak|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|205|doi:10.1107/S2052520621000445
DOI: 10.5517/ccdc.csd.cc25vv2z
title: CCDC 2021791: Experimental Crystal Structure Determination

description: Related Article: F. Safari, A. Katrusiak|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|205|doi:10.1107/S2052520621000445
DOI: 10.5517/ccdc.csd.cc25vv30
title: CCDC 2021792: Experimental Crystal Structure Determination

description: Related Article: F. Safari, A. Katrusiak|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|205|doi:10.1107/S2052520621000445
DOI: 10.5517/ccdc.csd.cc25vv41
title: CCDC 2021793: Experimental Crystal Structure Determination

description: Related Article: F. Safari, A. Katrusiak|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|205|doi:10.1107/S2052520621000445
DOI: 10.5517/ccdc.csd.cc25vv52
title: CCDC 2021794: Experimental Crystal Structure Determination

description: Related Article: F. Safari, A. Katrusiak|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|205|doi:10.1107/S2052520621000445
DOI: 10.5517/ccdc.csd.cc25vv63
title: CCDC 2021795: Experimental Crystal Structure Determination

description: Related Article: F. Safari, A. Katrusiak|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|205|doi:10.1107/S2052520621000445
DOI: 10.5517/ccdc.csd.cc25vv74
title: CCDC 2021796: Experimental Crystal Structure Determination

description: Related Article: F. Safari, A. Katrusiak|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|205|doi:10.1107/S2052520621000445
DOI: 10.5517/ccdc.csd.cc25vv96
title: CCDC 2021798: Experimental Crystal Structure Determination

description: Related Article: F. Safari, A. Katrusiak|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|205|doi:10.1107/S2052520621000445
DOI: 10.5517/ccdc.csd.cc25vvb7
title: CCDC 2021799: Experimental Crystal Structure Determination

description: Related Article: F. Safari, A. Katrusiak|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|205|doi:10.1107/S2052520621000445