cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15048510.v1
title: Neoadjuvant short-course radiotherapy with consolidation chemotherapy for locally advanced rectal cancer: a systematic review and meta-analysis

description: Short-course radiotherapy with consolidation chemotherapy (SCRT-CCT) has emerged as a promising alternative to the long course chemoradiotherapy (LCRT) regimen in locally advanced rectal cancer management. The systematic review and meta-analysis is aimed at summarizing current evidence on SCRT-CCT and comparing it to LCRT. Electronic databases of MEDLINE, Web of Science, and Cochrane library were searched using a predefined search strategy returning 3314 articles. This review included 11 studies (6 randomized trials and 5 non-randomized studies) on SCRT-CCT regimen based on seven different cohorts. Weighted arithmetic means and forest plots were generated to determine summary estimates. The probability of achieving pathological complete response (pCR) was higher with SCRT-CCT compared to LCRT (risk ratio [RR] = 1.75, 95% confidence interval [CI]: 1.41–2.19). No statistically significant difference in 3-year overall survival (OS) was observed between the two groups (RR= 1.06, 95% CI: 0.98–1.14). The weighted arithmetic mean of 3-year OS and pCR was 83.6% <i>versus</i> 80.9%, and 24.5% <i>versus</i> 13.6% for SCRT-CCT and LCRT, respectively. R0 resection and T-downstaging rates ranged from 69.2–100% to 47–75% for SCRT-CCT, and 71–92.3% and 41–75% for LCRT, respectively. The regimens had similar compliance, postoperative, and late toxicity, however, acute toxicity rates varied primarily due to differences in treatment protocols. This review highlights the ability of SCRT-CCT to produce improved tumor response with comparable OS, R0 resection, and T-downstaging at the cost of increased acute toxicity. However, heterogeneity in treatment protocols across studies makes it difficult to provide definitive conclusions regarding the regimen. Several ongoing trials are expected to provide further evidence confirming the findings of RAPIDO trial and detail appropriate SCRT-CCT protocols to improve oncological outcomes, minimize toxicity, and determine its effectiveness as the standard-of-care for locally advanced rectal cancer patients.
DOI: 10.6084/m9.figshare.15022373.v1
title: A prognostic model in patients with advanced biliary tract cancer receiving first-line chemotherapy

description: Standard treatment of advanced biliary tract cancer (aBTC) is represented by first-line chemotherapy (CT1). However, some patients do not gain any benefit from CT1, contributing to the overall dismal prognosis of aBTC. The present study aimed to devise a prognostic model in aBTC patients receiving CT1. A large panel of clinical, laboratory, and pathology variables, available before the start of CT1, were retrospectively assessed in a multi-centric cohort to determine their prognostic value on univariate and multivariate regression analysis. The variables that showed a significant correlation with overall survival (OS) were computed in a three-tier prognostic score. External validation of the prognostication performance was carried out. Clinical histories of 935 patients (median OS 10.3 months), with diagnosis dates ranging from 2001 to 2017, were retrieved from 14 institutions. According to multivariate analysis, Eastern Cooperative Oncology Group performance status, carbohydrate antigen 19.9, albumin levels, and neutrophil/lymphocyte ratio were strongly associated with OS (<i>p</i> &lt;0.01). The prognostic score could generate a highly significant stratification (all between-group <i>p</i> values ≤0.001) into groups of favorable (comprising 51.5% of the sample), intermediate (39.2%), and poor prognosis (9.3%): median OS was 12.7 (CI<sub>95%</sub> 11.0–14.4), 7.1 (CI<sub>95%</sub> 5.8–8.4), and 3.2 months (CI<sub>95%</sub> 1.7–4.7), respectively. This OS gradient was replicated in the validation set (129 patients), with median OS of 12.7 (CI<sub>95%</sub> 11.0–14.3), 7.5 (CI<sub>95%</sub> 6.1–8.9), and 1.4 months (CI<sub>95%</sub> 0.1–2.7), respectively (all between-group <i>p</i> values ≤0.05). A prognostic score, derived from a limited set of easily-retrievable variables, efficiently stratified a large population of unselected aBTC patients undergoing CT1. This tool could be useful to clinicians, to ascertain the potential benefit from CT1 at the start of treatment.
DOI: 10.6084/m9.figshare.16713052
title: Survival benefit of resection surgery for pancreatic ductal adenocarcinoma with liver metastases: a propensity score-matched SEER database analysis.

description: Data for patients with PDAC and hepatic metastasis were extracted from the population-based Surveillance, Epidemiology, and End Results database (SEER). The bias between CDS and non-CDS groups was minimized with Propensity Score Matching (PSM), and the prognostic role of CDS was investigated by comparing Kaplan-Meier estimators and using an information-theoretic model-comparison of Cox proportional hazard models.
DOI: 10.5281/zenodo.5573658
title: The application of XRF scanning to different geological archives

description: For this datasets we further our efforts using high resolution XRF scanning method on loess, stalagmite, and tridacna samples to illucidate which elements can be robustly obtained by XRF scanning, focusing on reproducibility, and the major factors (settings, scanning path, resolution) influencing the results for each three archives.
DOI: 10.5281/zenodo.3820930
title: The application of XRF scanning to different geological archives

description: For this datasets we further our efforts using high resolution XRF scanning method on loess, stalagmite, and tridacna samples to illucidate which elements can be robustly obtained by XRF scanning, focusing on reproducibility, and the major factors (settings, scanning path, resolution) influencing the results for each three archives.
DOI: 10.5281/zenodo.5573677
title: Greenhouse gases modulate the strength of millennial-scale subtropical rainfall, consistent with future predictions

description: high-resolution scanning Ca/Ti ratio of Linxia loess records spanning the past 650 kyr
DOI: 10.5281/zenodo.5573676
title: Greenhouse gases modulate the strength of millennial-scale subtropical rainfall, consistent with future predictions

description: high-resolution scanning Ca/Ti ratio of Linxia loess records spanning the past 650 kyr
DOI: 10.5519/qd.wvka5que
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (167 records)
DOI: 10.5281/zenodo.5573693
title: Dataset of "Inferring Fine-grained Traceability Links between Javadoc Comments and JUnit Test Code"

description: Dataset of "Inferring Fine-grained Traceability Links between Javadoc Comments and JUnit Test Code"
DOI: 10.5281/zenodo.5573692
title: Dataset of "Inferring Fine-grained Traceability Links between Javadoc Comments and JUnit Test Code"

description: Dataset of "Inferring Fine-grained Traceability Links between Javadoc Comments and JUnit Test Code"
DOI: 10.5281/zenodo.5573651
title: Data for Significant influence of topography and the aerosol under special terrain on cloud-to-ground lightning in Sichuan Basin

description: 1. CG lightning data for June-August during the years of 2010-2018 used in the paper were detected by the China Lightning Detection Network and the spatial resolution is 0.01º×0.01º. This dataset describes lightning frequency in the area around the Sichuan Basin (25°-35°N, 100°-110°E). 2. Terrain data is obtained from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) in version 3 and the spatial resolution of terrain data is 0.02º×0.02º. The dataset describes terrain data in the area around the Sichuan Basin (25°-35°N, 100°-110°E). 3. Aerosol optical depth (AOD) data for June-August during the years of 2010-2018 are taken from the measurements of the Moderate Resolution Imaging Spectroradiometer (MODIS) products MOD08 D3 aboard the Terra and Aqua satellites in the version of 6.1 with a spatial resolution of 1º×1º. This dataset describes the AOD value of the area around the Sichuan Basin (25°-35°N, 100°-110°E). 4. The wind field data and mid-level relative humidity used are from the ERA5 hourly data on pressure levels of the European Center for Medium Range Weather Forecasting (ECMWF) with a spatial resolution of 0.25º×0.25º. U is the eastward component of the wind. It is the horizontal speed of air moving towards the east. A negative sign indicates air moving towards the west. V is the northward component of the wind. It is the horizontal speed of air moving towards the north. A negative sign indicates air moving towards the south. The dataset describes wind field in the area around the Sichuan Basin (25°-35°N, 100°-110°E). 5. Convective available potential energy (CAPE) data used in the study are from the ERA5 hourly data on single levels of Medium Range Weather Forecasting (ECMWF) with a spatial resolution of 0.25º×0.25º. This dataset describes the CAPE value of the area around the Sichuan Basin (25°-35°N, 100°-110°E). 6.The surface temperature data for June-August during the years of 2010-2018 are from the measurements of the Moderate Resolution Imaging Spectroradiometer (MODIS) products MOD11 C1 with a spatial resolution of 0.05º×0.05º.<br> This dataset describes the surface temperature of the area around the Sichuan Basin (25°-35°N, 100°-110°E). 7. Mid-level relative humidity data used are from the ERA5 hourly data on pressure levels of the European Center for Medium Range Weather Forecasting (ECMWF) with a spatial resolution of 0.25º×0.25º. This dataset describes the mid-level relative humidity of the area around the Sichuan Basin (25°-35°N, 100°-110°E).
DOI: 10.5281/zenodo.5573650
title: Data for Significant influence of topography and the aerosol under special terrain on cloud-to-ground lightning in Sichuan Basin

description: 1. CG lightning data for June-August during the years of 2010-2018 used in the paper were detected by the China Lightning Detection Network and the spatial resolution is 0.01º×0.01º. This dataset describes lightning frequency in the area around the Sichuan Basin (25°-35°N, 100°-110°E). 2. Terrain data is obtained from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) in version 3 and the spatial resolution of terrain data is 0.02º×0.02º. The dataset describes terrain data in the area around the Sichuan Basin (25°-35°N, 100°-110°E). 3. Aerosol optical depth (AOD) data for June-August during the years of 2010-2018 are taken from the measurements of the Moderate Resolution Imaging Spectroradiometer (MODIS) products MOD08 D3 aboard the Terra and Aqua satellites in the version of 6.1 with a spatial resolution of 1º×1º. This dataset describes the AOD value of the area around the Sichuan Basin (25°-35°N, 100°-110°E). 4. The wind field data and mid-level relative humidity used are from the ERA5 hourly data on pressure levels of the European Center for Medium Range Weather Forecasting (ECMWF) with a spatial resolution of 0.25º×0.25º. U is the eastward component of the wind. It is the horizontal speed of air moving towards the east. A negative sign indicates air moving towards the west. V is the northward component of the wind. It is the horizontal speed of air moving towards the north. A negative sign indicates air moving towards the south. The dataset describes wind field in the area around the Sichuan Basin (25°-35°N, 100°-110°E). 5. Convective available potential energy (CAPE) data used in the study are from the ERA5 hourly data on single levels of Medium Range Weather Forecasting (ECMWF) with a spatial resolution of 0.25º×0.25º. This dataset describes the CAPE value of the area around the Sichuan Basin (25°-35°N, 100°-110°E). 6.The surface temperature data for June-August during the years of 2010-2018 are from the measurements of the Moderate Resolution Imaging Spectroradiometer (MODIS) products MOD11 C1 with a spatial resolution of 0.05º×0.05º.<br> This dataset describes the surface temperature of the area around the Sichuan Basin (25°-35°N, 100°-110°E). 7. Mid-level relative humidity data used are from the ERA5 hourly data on pressure levels of the European Center for Medium Range Weather Forecasting (ECMWF) with a spatial resolution of 0.25º×0.25º. This dataset describes the mid-level relative humidity of the area around the Sichuan Basin (25°-35°N, 100°-110°E).
DOI: 10.15161/oar.it/74190
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.16818691
title: Mus musculus Transcriptome or Gene expression

description: Genome-wide expression analysis to profile differentially expressed genes in mouse Leydig cells with or without PM administration.
DOI: 10.6084/m9.figshare.16818691.v2
title: Mus musculus Transcriptome or Gene expression

description: Genome-wide expression analysis to profile differentially expressed genes in mouse Leydig cells with or without PM administration.
DOI: 10.6084/m9.figshare.16818691.v1
title: Mus musculus Transcriptome or Gene expression

description: Genome-wide expression analysis to profile differentially expressed genes in mouse Leydig cells with or without PM administration.
DOI: 10.5281/zenodo.5573769
title: Dataset associated to: Controlling the Carbon-Bio Interface via Glycan Functional Adlayers for Applications in Microbial Fuel Cell Bioanodes

description: This file contains the dataset associated to the published research article "Controlling the Carbon-Bio Interface via Glycan Functional Adlayers for Applications in Microbial Fuel Cell Bioanodes". The dataset contains Atomic Force Microscopy, electrochemistry, Microbial Fuel Cells power output, water contact angle and quartz crystal microbalance raw data from their relative instruments. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 799175 (HiBriCarbon). This publication has also emanated from research conducted with the financial support of Science Foundation Ireland under Grant No. 13/CDA/2213 and 19/FFP/6761. The authors thank the France-Ireland PHC ULYSSES programme for support, project 36028UB. F.B. thanks Rennes Métropole for the co-funding of a Quartz Crystal Microbalance. T.P. thanks Région Bretagne for the co-funding of his PhD.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 799175 (HiBriCarbon). This publication has also emanated from research conducted with the financial support of Science Foundation Ireland under Grant No. 13/CDA/2213 and 19/FFP/6761. The authors thank the France-Ireland PHC ULYSSES programme for support, project 36028UB. F.B. thanks Rennes Métropole for the co-funding of a Quartz Crystal Microbalance. T.P. thanks Région Bretagne for the co-funding of his PhD.
DOI: 10.5281/zenodo.5573768
title: Dataset associated to: Controlling the Carbon-Bio Interface via Glycan Functional Adlayers for Applications in Microbial Fuel Cell Bioanodes

description: This file contains the dataset associated to the published research article "Controlling the Carbon-Bio Interface via Glycan Functional Adlayers for Applications in Microbial Fuel Cell Bioanodes". The dataset contains Atomic Force Microscopy, electrochemistry, Microbial Fuel Cells power output, water contact angle and quartz crystal microbalance raw data from their relative instruments. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 799175 (HiBriCarbon). This publication has also emanated from research conducted with the financial support of Science Foundation Ireland under Grant No. 13/CDA/2213 and 19/FFP/6761. The authors thank the France-Ireland PHC ULYSSES programme for support, project 36028UB. F.B. thanks Rennes Métropole for the co-funding of a Quartz Crystal Microbalance. T.P. thanks Région Bretagne for the co-funding of his PhD.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 799175 (HiBriCarbon). This publication has also emanated from research conducted with the financial support of Science Foundation Ireland under Grant No. 13/CDA/2213 and 19/FFP/6761. The authors thank the France-Ireland PHC ULYSSES programme for support, project 36028UB. F.B. thanks Rennes Métropole for the co-funding of a Quartz Crystal Microbalance. T.P. thanks Région Bretagne for the co-funding of his PhD.
DOI: 10.6084/m9.figshare.16822039
title: CMI.xlsx

description: Cell mediated immune response records in chicken
DOI: 10.6084/m9.figshare.16822039.v1
title: CMI.xlsx

description: Cell mediated immune response records in chicken
DOI: 10.25646/9152
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.6084/m9.figshare.16821994
title: Data for Holocene rapid lake-level fluctuations of Tibetan glacier-fed lakes in response to global climatic events.docx

description: OSL dating data
DOI: 10.6084/m9.figshare.16821994.v1
title: Data for Holocene rapid lake-level fluctuations of Tibetan glacier-fed lakes in response to global climatic events.docx

description: OSL dating data
DOI: 10.5517/ccdc.csd.cc23jgty
title: CCDC 1952250: Experimental Crystal Structure Determination

description: Related Article: Jong Bum Lee, Byeong M. Oh, Yun-Sang Lee, Woojin Yoon, Hoseop Yun, Dongwook Kim, Jong H. Kim, O-Pil Kwon|2022|Organic Electronics|100|106348|doi:10.1016/j.orgel.2021.106348
DOI: 10.5517/ccdc.csd.cc277w5k
title: CCDC 2063148: Experimental Crystal Structure Determination

description: Related Article: Leila M. Foroughi, Adam J. Matzger|2021|Cryst.Growth Des.|21|5873|doi:10.1021/acs.cgd.1c00746
DOI: 10.5517/ccdc.csd.cc277w6l
title: CCDC 2063149: Experimental Crystal Structure Determination

description: Related Article: Leila M. Foroughi, Adam J. Matzger|2021|Cryst.Growth Des.|21|5873|doi:10.1021/acs.cgd.1c00746
DOI: 10.5517/ccdc.csd.cc277w7m
title: CCDC 2063150: Experimental Crystal Structure Determination

description: Related Article: Leila M. Foroughi, Adam J. Matzger|2021|Cryst.Growth Des.|21|5873|doi:10.1021/acs.cgd.1c00746
DOI: 10.5517/ccdc.csd.cc277w8n
title: CCDC 2063151: Experimental Crystal Structure Determination

description: Related Article: Leila M. Foroughi, Adam J. Matzger|2021|Cryst.Growth Des.|21|5873|doi:10.1021/acs.cgd.1c00746
DOI: 10.5517/ccdc.csd.cc277w9p
title: CCDC 2063152: Experimental Crystal Structure Determination

description: Related Article: Leila M. Foroughi, Adam J. Matzger|2021|Cryst.Growth Des.|21|5873|doi:10.1021/acs.cgd.1c00746
DOI: 10.5517/ccdc.csd.cc277wbq
title: CCDC 2063153: Experimental Crystal Structure Determination

description: Related Article: Leila M. Foroughi, Adam J. Matzger|2021|Cryst.Growth Des.|21|5873|doi:10.1021/acs.cgd.1c00746
DOI: 10.5517/ccdc.csd.cc268scn
title: CCDC 2034231: Experimental Crystal Structure Determination

description: Related Article: Jong Bum Lee, Byeong M. Oh, Yun-Sang Lee, Woojin Yoon, Hoseop Yun, Dongwook Kim, Jong H. Kim, O-Pil Kwon|2022|Organic Electronics|100|106348|doi:10.1016/j.orgel.2021.106348
DOI: 10.5517/ccdc.csd.cc27wjth
title: CCDC 2082047: Experimental Crystal Structure Determination

description: Related Article: Tao Huang, Wenjia Hao, Bo Jin, Jinhao Zhang, Jinkun Guo, Liqiong Luo, Qingchun Zhang, Rufang Peng|2021|J.Solid State Chem.|304|122622|doi:10.1016/j.jssc.2021.122622
DOI: 10.5517/ccdc.csd.cc281qwy
title: CCDC 2087040: Experimental Crystal Structure Determination

description: Related Article: Shujin Zhou, Kai Sheng, Na Zhang, Han Zhang, Hongguang Li, Panpan Sun, Xia Xin|2021|J.Mol.Liq.|343|117698|doi:10.1016/j.molliq.2021.117698
DOI: 10.5517/ccdc.csd.cc28kj6l
title: CCDC 2102209: Experimental Crystal Structure Determination

description: Related Article: Yanling Zhou, Xin Guan, Xianrong Liu, Minxia Yao|2021|Polyhedron|210|115483|doi:10.1016/j.poly.2021.115483
DOI: 10.5517/ccdc.csd.cc28kj7m
title: CCDC 2102210: Experimental Crystal Structure Determination

description: Related Article: Yanling Zhou, Xin Guan, Xianrong Liu, Minxia Yao|2021|Polyhedron|210|115483|doi:10.1016/j.poly.2021.115483
DOI: 10.5281/zenodo.5502441
title: Dataset: Longitudinal personal thermal comfort preference datain the wild

description: Thermal comfort affects the well-being, productivity, and overall satisfaction of building occupants. However, due to economical and practical limitations, the number of longitudinal studies that have been conducted is limited, and only a few of these studies have shared their data publicly. Longitudinal datasets collected indoors are a valuable resource to better understand how people perceive their environment. Moreover, they provide a more realistic scenario to those conducted in thermal chambers. Our objective was to share publicly a longitudinal dataset comprising data collected over a 4-week long experiment. A total of 17 participants completed thermal preferences surveys which accounted for a total of approximately 1400 unique responses across indoor and outdoor 17 spaces. For the whole duration of the study, we monitored environmental variables (e.g., temperature and relative humidity) throughout 3 buildings. Participants completed comfort surveys from the screen of their smartwatches using an open-source application named Cozie. Their indoor location was continuously monitored using a custom-designed smartphone application.<br> Location data were used to time and spatially align environmental measurements to thermal preference responses provided by the participants. Background information of participants, such as physical characteristics and personality traits (satisfaction with life scale, highly sensitive person scale, the Big Five personality traits), was collected using an on-boarding survey administered at the beginning of the experiment. You can find the features descriptions, raw data processing, and raw files in our project repository: https://github.com/buds-lab/longitudinal-personal-thermal-comfort