cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24015048.v1
title: Supplementary Material for: Utility of RNA Expression to Determine the Tissue of Origin of Malignancies with an Inconclusive Histopathology

description: We present two cases of cancer of unknown origin in which RNA-based cancer classification testing provided vital insight and directed treatment management. The tissue of origin could not be determined in both these patients utilizing morphology and immunohistochemical (IHC) analysis of the tissue samples. Next-generation sequencing (NGS) and tumor-of-origin testing using an RNA-based molecular cancer classifier were performed to elucidate the possible tissue of origin. A 61-year-old male with a history of localized basal cell carcinoma (BCC) presented with a 4.4 cm axillary lymph node in addition to upper extremity edema and supraclavicular lymphadenopathy. RNA based tumor origin testing revealed skin basal or squamous cell carcinoma as the likely tissue of origin, with a probability of 97%. He received vismodegib, a hedgehog inhibitor, after progression on cemiplimab and experienced a partial response by RECIST criteria, which is currently ongoing for over a year. A 74-year-old female patient with a remote history of ovarian cancer for which she underwent resection and adjuvant chemotherapy presented 15 years later with abdominal pain. The diagnostic workup revealed a 2 cm pancreatic mass and enlarged peritoneal lymph nodes. RNA sequencing revealed a 99% likelihood of the tissue of origin being serous ovarian carcinoma. Subsequently, she underwent surgery and adjuvant chemotherapy and is currently in remission with letrozole maintenance. Genomic data already plays a crucial role in therapeutic decision-making for individuals with cancer. These cases highlight the complementary role of genomic data in the diagnostic workup of cancer, leading to favourable patient outcomes.
DOI: 10.6084/m9.figshare.23815395
title: Supplementary Material for: Application of the cytokinesis-block micronucleus assay for high dose exposures using imaging flow cytometry

description: The cytokinesis-block micronucleus (CBMN) assay is a well-established method to assess radiation-induced genetic damage in human cells. This assay has been adapted to imaging flow cytometry (IFC), allowing automated analysis of many cells, and eliminating the need to create microscope slides. Furthermore, to improve the efficiency of assay performance, a small-volume method previously developed was employed. Irradiated human blood samples were cultured, stained, and analysed by IFC to produce images of the cells. Samples were run using both manual and 96-well plate automated acquisition. Multiple parameter-based image features were collected for each sample and the results were compared to confirm that these acquisition methods are functionally identical. This paper details the multi-parametric analysis developed, and the resulting calibration curves up to 10 Gy. The calibration curves were created using a quadratic random coefficient model with Poisson errors, as well as a logistic discriminant function. The curves were then validated with blinded, irradiated samples, using relative bias and relative mean square error. Overall, the accuracy of the dose estimates was adequate for triage dosimetry (within 1 Gy of the true dose) over 90% of the time for lower doses and about half the time for higher doses, with the lowest success rate between 5 and 6 Gy where the calibration curve reached its peak and there was the smallest change in MN/BNC with dose. This work describes the application of novel multi-parametric analysis that fits the calibration curves and allows dose estimates up to 10 Gy, which were previously limited to 4 Gy. Furthermore, it demonstrates that the results from samples acquired manually and with the autosampler are functionally similar.
DOI: 10.6084/m9.figshare.23815395.v1
title: Supplementary Material for: Application of the cytokinesis-block micronucleus assay for high dose exposures using imaging flow cytometry

description: The cytokinesis-block micronucleus (CBMN) assay is a well-established method to assess radiation-induced genetic damage in human cells. This assay has been adapted to imaging flow cytometry (IFC), allowing automated analysis of many cells, and eliminating the need to create microscope slides. Furthermore, to improve the efficiency of assay performance, a small-volume method previously developed was employed. Irradiated human blood samples were cultured, stained, and analysed by IFC to produce images of the cells. Samples were run using both manual and 96-well plate automated acquisition. Multiple parameter-based image features were collected for each sample and the results were compared to confirm that these acquisition methods are functionally identical. This paper details the multi-parametric analysis developed, and the resulting calibration curves up to 10 Gy. The calibration curves were created using a quadratic random coefficient model with Poisson errors, as well as a logistic discriminant function. The curves were then validated with blinded, irradiated samples, using relative bias and relative mean square error. Overall, the accuracy of the dose estimates was adequate for triage dosimetry (within 1 Gy of the true dose) over 90% of the time for lower doses and about half the time for higher doses, with the lowest success rate between 5 and 6 Gy where the calibration curve reached its peak and there was the smallest change in MN/BNC with dose. This work describes the application of novel multi-parametric analysis that fits the calibration curves and allows dose estimates up to 10 Gy, which were previously limited to 4 Gy. Furthermore, it demonstrates that the results from samples acquired manually and with the autosampler are functionally similar.
DOI: 10.6084/m9.figshare.24073080
title: Quasi-natural experiment set up in green finance reform and innovation pilot zone

description: The research sample is China's A-share listed enterprises from 2014 to 2020. According to the "Listed Companies Environmental Protection Verification Industry Classification Management List" issued by the Ministry of Environmental Protection in 2008, combined with the industry classification standard of the China Securities Regulatory Commission in 2012, 16 industrial enterprises belonging to coal, mining, textile and other industries are classified as heavy polluters. The heavy polluting enterprises in the five provinces of Zhejiang, Jiangxi, Guangdong, Guizhou and Xinjiang were set as the experimental group, and the heavy polluting enterprises in other provinces were set as the control group. In addition, this paper excluded ST, PT and other enterprise samples, financial industry samples and samples with missing data, and finally obtained 308 enterprises with 2156 observed values. The experimental group consisted of 78 heavily polluting enterprises with 546 observed values. All samples were indentified by 1% up and down to eliminate outliers. The main data in this paper comes from the National Tai 'an Database (CSMAR), corporate social responsibility reports, corporate annual reports, etc.
DOI: 10.5281/zenodo.8252567
title: Supplementary Information

description: Dataset related to LNLS research proposal
DOI: 10.5281/zenodo.8252566
title: Supplementary Information

description: Dataset related to LNLS research proposal
DOI: 10.6084/m9.figshare.23939478.v1
title: Supplementary Material for: The External Validation of the Nursing Homes Short Depression Inventory in Older Adults with Major Neurocognitive Disorders in Long-Term Care Centers

description: Introduction: Depression is often difficult to detect in long-term care (LTC) patients with major neurocognitive disorders (MNCD) and an observer-rated screening scale could facilitate assessments. This study aimed to establish the external validity and reliability of the Nursing Homes Short Depression Inventory (NH-SDI) in LTC patients with MNCD and to compare its estimates to the Cornell Scale for Depression in Dementia (CSDD), the most used scale for depression in MNCD. Methods: A focus discussion group of experts assessed the content validity of the NH-SDI. Then, a convenience sample of 93 LTC patients with MNCD were observer-rated by trained nurses with the NH-SDI and CSDD. For 57 patients, a medical assessment of depression was obtained, and screening accuracy estimates generated. Results: The prevalence of depression was 8.8% as per reference standard. NH-SDI's content validity was judged acceptable with minor item wording modifications and specifications. The NH-SDI (cut-off &gt; 3) achieved 100% (95%CI: 46-100%) sensitivity, 83% (95%CI: 69-91%) specificity and 36% (95%CI: 14-64%) positive predictive value (PPV). The CSDD (cut-off &gt; 3) achieved 100% (95%CI: 46-100%) sensitivity, 75% (95%CI: 61-86%) specificity and 28% (95%CI: 11-54%) PPV. No significant differences in AUCs were found between scales. The NH-SDI and CSDD were highly correlated (rs = 0.913; p &lt; 0.001) and reliable (ICC = 0.77, p &lt; 0.001). Discussion/Conclusion: The NH-SDI appears valid and reliable in LTC patients with MNCD and quicker than the CSDD to rule-out depression in a busy or short-staffed setting.
DOI: 10.5517/ccdc.csd.cc1lfmj5
title: CCDC 1472857: Experimental Crystal Structure Determination

description: Related Article: A. Basava Punna Rao, A. Uma, T. Chiranjeevi, M.S. Bethu, B. Yashwanth, J. Venkateswara Rao, Krishna Mohan Poluri, Mohan Rao Kollipara|2016|Inorg.Chim.Acta|453|284|doi:10.1016/j.ica.2016.08.031
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.cc2723gx
title: CCDC 2057608: Experimental Crystal Structure Determination

description: Related Article: John Pham, Jason Keith, Tianyi He, Thao Kim, Anthony Chianese, Eamon F Reynolds, Cole E Jarczyk, Sophie E Kelly|2021|CSD Communication|||
description: Related Article: John Pham, Cole E. Jarczyk, Eamon F. Reynolds, Sophie. E. Kelly, Thao Kim, Tianyi He, Jason M. Keith, Anthony R. Chianese|2021|Chemical Science|12|8477|doi:10.1039/D1SC00703C
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.cc2723hy
title: CCDC 2057609: Experimental Crystal Structure Determination

description: Related Article: John Pham, Jason Keith, Tianyi He, Thao Kim, Anthony Chianese, Eamon F Reynolds, Cole E Jarczyk, Sophie E Kelly|2021|CSD Communication|||
description: Related Article: John Pham, Cole E. Jarczyk, Eamon F. Reynolds, Sophie. E. Kelly, Thao Kim, Tianyi He, Jason M. Keith, Anthony R. Chianese|2021|Chemical Science|12|8477|doi:10.1039/D1SC00703C
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: 10.34740/kaggle/dsv/6399709
title: COVID Vaccination in World (updated daily)
DOI: 10.21429/ff9k-1c07
title: Database of Sediment Accretion and Elevation Change Rates for Coastal Marshes of Northeastern United States, Derived from Studies Published from 1975 through 2022

description: Vertical accretion and elevation change of marshes is a critical factor controlling marsh survival and adaptability to rising sea levels. A wide variety of existing methods have been employed to measure accretion and elevation change in marshes on time scales ranging from weeks to centuries on many individual marshes located throughout the coastal northeastern United States. This dataset is a compilation of marsh accretion and elevation change rates compiled from a total of 27 published studies and 3 data sets published from 1975 through 2021, yielding a total of 292 individual estimates of marsh accretion or elevation change. The database includes: measurements of marsh surface elevation change from repeat surveys at 24 Sediment Elevation Table (SET) stations; 64 accretion rates derived from repeat surveys of established marker horizons; 18 millennial scale scale accretion rates derived from radiocarbon based chronologies of marsh sediment cores; and 163 multi-decadal to centennial scale accretion rates determined from sediment cores dated using short-lived radioisotopes (Pb-210, Cs-137), pollen stratigraphies, and/or pollution stratigraphies. Compiled  accretion rates ranged from 0.5 mm/yr to 17.1 mm/yr. Median rates were 0.85 mm/yr for radiocarbon based estimates; 3.1 mm/yr for estimates based on Pb-210, Cs-137, pollen stratigraphy, and/or pollution stratigraphy; 3.0 mm/yr based on marker horizons; and 2.5 mm/yr based on SET stations.
DOI: 10.21429/jwh1-yr28
title: Database of Sediment Mass Accumulation for Coastal Marshes of Northeastern United States from Sediment Trap Deployments during 2020 and 2021

description: A critical factor controlling marsh survival and adaptability to rising sea level is an adequate supply of sediment for supporting upward growth of marshes, yet sediment availability and the factors that control its delivery to marshes remain poorly constrained. This dataset includes the results of sediment trap deployments and accompanying water level recordings from 9 coastal salt marshes in the northeastern United States. Sediment traps were deployed seasonally, with individual spring, summer, and fall deployment periods over the course of 2020-2021. The distribution of study sites spans differences in tidal range, wave climate, sea surface temperature, and assemblages of marine organisms. Additionally, these sites are of variable proximity to diverse deposits of terminal moraine, till, sandy outwash, glaciolacustrine, and glaciomarine sediments and differ in their proximity to major river systems. Six of the studied marshes are back-barrier marshes with relatively small upland drainage basins less than a few hundred km^2, which is typical of marshes throughout the region. These sites are contrasted with three sites proximal to the mouth of the Kennebec River with its approximately 25,000 km^2 drainage basin providing an opportunity to explore the importance of major rivers systems as a source of a sediment to coastal marshes in the Northeastern, U.S. Collectively, over 400 sediment accumulation rates were determined for individual deployments, capturing both spatial and temporal variability in sediment accumulation across a diverse range of regional marsh environments.
DOI: 10.5281/zenodo.8308055
title: Dataset for the project "Propagation of Subduction Initiation"

description: The required code and data for the project "Propagation of Subduction Initiation " The open-source code Ellipsis3d is also available at https://geodynamics.org/resources/ellipsis3d Plate reconstruction models are also available at doi:10.1002/ 2016JB012923 and https://www.earthbyte.org/
DOI: 10.5281/zenodo.8308054
title: Dataset for the project "Propagation of Subduction Initiation"

description: The required code and data for the project "Propagation of Subduction Initiation " The open-source code Ellipsis3d is also available at https://geodynamics.org/resources/ellipsis3d Plate reconstruction models are also available at doi:10.1002/ 2016JB012923 and https://www.earthbyte.org/
DOI: 10.5281/zenodo.8308502
title: Data: Multilayer integration in silicon nitride: decoupling linear and nonlinear functionalities for ultralow loss photonic integrated systems

description: This folder contains the data relative to the paper with title:<br> Multilayer integration in silicon nitride: decoupling linear and nonlinear functionalities for ultralow loss photonic integrated systems<br> by<br> Marcello Girardi, Óskar Helgason, Alexander Caut, Magnus Karlsson, Anders Larsson, Victor Torres Company Chalmers University of Technology
DOI: 10.5281/zenodo.8308533
title: Dataset of the Geometric Morphometric Analysis of the article "Blank predetermination in the Iberian Acheulean. Insight from the cleaver on flake assemblage from Casal do Azemel site (Leiria, Portugal) by a Geometric Morphometric approach"

description: Raw data and datasets of the Geometric Morphometric Analysis performed in the article "Blank predetermination in the Iberian Acheulean. Insight from the cleaver on flake assemblage from Casal do Azemel site (Leiria, Portugal) by a Geometric Morphometric approach". Contains the raw data, the Generalised Procrustes Analysis dataset, the Elliptic Fourier Analysis dataset and all the variables tested (on the EFA dataset).
DOI: 10.5281/zenodo.8308532
title: Dataset of the Geometric Morphometric Analysis of the article "Blank predetermination in the Iberian Acheulean. Insight from the cleaver on flake assemblage from Casal do Azemel site (Leiria, Portugal) by a Geometric Morphometric approach"

description: Raw data and datasets of the Geometric Morphometric Analysis performed in the article "Blank predetermination in the Iberian Acheulean. Insight from the cleaver on flake assemblage from Casal do Azemel site (Leiria, Portugal) by a Geometric Morphometric approach". Contains the raw data, the Generalised Procrustes Analysis dataset, the Elliptic Fourier Analysis dataset and all the variables tested (on the EFA dataset).
DOI: 10.34658/rdb.7lugdi
title: Replication and Sumplementary Data for: Photosensitive cellulosic materials based on covalently grafted phenosafranin-modified silsesquioxane analog used for bactericidal applications

description: Dataset containg weights, surface properties and light-induced antimicrobial activity of paper hanhsheets coated with alkoxysilyl derivative of phenosafranin
DOI: 10.6084/m9.figshare.6253670
title: Interprofessional population health advocacy: Developing and implementing a panel management curriculum in five Veterans Administration primary care practices

description: Health care systems expect primary care clinicians to manage panels of patients and improve population health, yet few have been trained to do so. An interprofessional panel management (PM) curriculum is one possible strategy to address this training gap and supply future primary care practices with clinicians and teams prepared to work together to improve the health of individual patients and populations. This paper describes a Veterans Administration (VA) sponsored multi-site interprofessional PM curriculum development effort. Five VA Centers of Excellence in Primary Care Education collaborated to identify a common set of interprofessionally relevant desired learning outcomes (DLOs) for the PM and to develop assessment instruments for monitoring trainees’ PM learning. Authors cataloged teaching and learning activities across sites. Results from pilot testing were systematically discussed leading to iterative revisions of curricular elements. Authors completed a retrospective self-assessment of curriculum implementation for the academic year 2015–16 using a 5-point scale: contemplation (score = 0), pilot (1), action (2), maintenance (3), and embedded (4). Implementation scores were analyzed using descriptive statistics. DLOs were organized into five categories (individual patients, populations, guidelines/measures, teamwork, and improvement) along with a developmental continuum and mapped to program competencies. Instruction and implementation varied across sites based on resources and priorities. Between 2015 and 2016, 159 trainees (internal medicine residents, nurse practitioner students and residents, pharmacy residents, and psychology post-doctoral fellows) participated in the PM curriculum. Curriculum implementation scores for guidelines/measures and improvement DLOs were similar for all trainees; scores for individual patients, populations, and teamwork DLOs were more advanced for nurse practitioner and physician trainees. In conclusion, collaboratively identified DLOs for PM guided development of assessment instruments and instructional approaches for panel management activities in interprofessional teams. This PM curriculum and associated tools provide resources for educators in other settings.
DOI: 10.6084/m9.figshare.6131027
title: Alignment of an interprofessional student learning experience with a hospital quality improvement initiative

description: Assessment of interprofessional education (IPE) frequently focuses on students’ learning outcomes including changes in knowledge, skills, and/or attitudes. While a foundational education in the values and information of their chosen profession is critical, interprofessional learning follows a continuum from formal education to practice. The continuum increases in significance and complexity as learning becomes more relationship based and dependent upon the ability to navigate complex interactions with patients, families, communities, co-workers, and others. Integrating IPE into collaborative practice is critical to enhancing students’ experiential learning, developing teamwork competencies, and understanding the complexity of teams. This article describes a project that linked students with a hospital-based quality-improvement effort to focus on the acquisition and practice of teamwork skills and to determine the impact of teamwork on patient and quality outcome measures. A hospital unit was identified with an opportunity for improvement related to quality care, patient satisfaction, employee engagement, and team behaviours. One hundred and thirty-seven students from six health profession colleges at the Medical University of South Carolina underwent TeamSTEPPS® training and demonstrated proficiency of their teamwork-rating skills with the TeamSTEPPS® Team Performance Observation Tool (T-TPO). Students observed real-time team behaviours of unit staff before and after staff attended formal TeamSTEPPS® training. The students collected a total of 778 observations using the T-TPO. Teamwork performance on the unit improved significantly across all T-TPO domains (team structure, communication, leadership, situation monitoring, and mutual support). Significant improvement in each domain continued post-intervention and at 15-month follow-up, improvement remained significant compared to baseline. Student engagement in TeamSTEPPS® training and demonstration of their reliability as teamwork-observers was a valuable learning experience and also yielded an opportunity to gather unique, and otherwise difficult to attain, data from a hospital unit for use by quality managers and administrators.