cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3572bvtgsb.1
title: iScience - SARS-CoV-2 neutralization following infection and or vaccination

description: The elicitation of cross-variant neutralizing antibodies against SARS-CoV-2 represents a major goal for current COVID-19 vaccine strategies. Additionally, natural infection may also contribute to broaden neutralizing responses. To assess the contribution of vaccines and natural infection, we cross-sectionally analyzed plasma neutralization titers of six groups of individuals, organized according to the number of vaccines they received and their SARS-CoV-2 infection history. Two doses of vaccine had a limited capacity to generate cross-neutralizing antibodies against Omicron variants of concern (VOCs) in uninfected individuals, but efficiently synergized with previous natural immunization in convalescent individuals. In contrast, booster dose had a critical impact on broadening the cross-neutralizing response in uninfected individuals, to level similar to hybrid immunity, while still improving cross-neutralizing responses in convalescent individuals. Omicron breakthrough infection improved cross-neutralization of Omicron subvariants but only in non-previously infected vaccinated individuals. Together this data suggests that ancestral spike-based immunization remains a valuable strategy to provide broad SARS-CoV-2 immunity.
DOI: 10.17632/3572bvtgsb.2
title: iScience - SARS-CoV-2 neutralization following infection and or vaccination

description: The elicitation of cross-variant neutralizing antibodies against SARS-CoV-2 represents a major goal for current COVID-19 vaccine strategies. Additionally, natural infection may also contribute to broaden neutralizing responses. To assess the contribution of vaccines and natural infection, we cross-sectionally analyzed plasma neutralization titers of six groups of individuals, organized according to the number of vaccines they received and their SARS-CoV-2 infection history. Two doses of vaccine had a limited capacity to generate cross-neutralizing antibodies against Omicron variants of concern (VOCs) in uninfected individuals, but efficiently synergized with previous natural immunization in convalescent individuals. In contrast, booster dose had a critical impact on broadening the cross-neutralizing response in uninfected individuals, to level similar to hybrid immunity, while still improving cross-neutralizing responses in convalescent individuals. Omicron breakthrough infection improved cross-neutralization of Omicron subvariants but only in non-previously infected vaccinated individuals. Together this data suggests that ancestral spike-based immunization remains a valuable strategy to provide broad SARS-CoV-2 immunity.
DOI: 10.17632/j3pzk8bcsv.1
title: Vietnam Seafarer in Covid 19 interview

description: This study's qualitative data was gathered through semi-structured in-depth interviews, which consisted of two main sections. The first section aimed to collect demographic information about the participants, such as their experience, position, and the duration of the voyage during which the COVID-19 pandemic occurred, as well as information about the vessels they served on (e.g., deadweight tonnage, vessel type, route). The second section focused on the participants' observations concerning the research questions, which were articulated as follows:

To what extent did the crew change and repatriation issue impact your well-being and work performance?
How did you and other crew members manage the situation?
To what extent did the incident affect your job loyalty?
Upon obtaining research ethics approval from the university, potential participants were identified through our professional networks. We initially reached out to human resources professionals at major shipping companies in Ho Chi Minh and Hai Phong City, presenting our project to them. These contacts then identified seafarers within their company's roster who met our criteria and introduced us to them. In total, we contacted 29 seafarers, explained our research objectives, and invited them to participate in interviews; 20 accepted the invitation.

All interviews were conducted in-person in April and May 2022, each lasting approximately one hour. By the 14th interview, we observed recurring themes, indicating that the data had reached saturation. As suggested by Francis et al. (2010), we concluded data collection after the 20th interview. The interviews were reviewed by a research panel, transcribed, and translated into English, following the guidelines set by Douglas and Craig (2007).
DOI: 10.17632/svw6hnmj34.1
title: Experimental data for the paper

description: This data set contains the test functions and the experimental results of the instance, as well as the machining data of the workpiece in the instances.
DOI: 10.17632/8t6hf866bd.1
title: Physical condition athlete Elite Taekwondo in Indonesia

description: Physical condition athlete Elite Taekwondo In Indonesia
DOI: 10.17632/9zn66k84n8.1
title: Apatinib-induced transcriptomic remodeling in the multicellular ecosystem of gastric cancer patient-derived xenografts enhances anti-PD-1 immunotherapy

description: Apatinib can clinically enhance anti-PD-1 immunotherapy for advanced gastric cancer (GC), but the complexity of GC immunosuppression still hampers the development of precision immunotherapy. Here, we profiled the transcriptomes of 34,182 single cells from gastric cancer patient-derived xenografts (GC-PDXs) from humanized mouse models treated with vehicle, nivolumab, or nivolumab plus apatinib. The tumor microenvironment (TME) showed activation of multiple types of immunosuppression-associated transcriptomic remodeling after nivolumab monotherapy, and this remodeling could be substantially reduced by combined apatinib treatment. Notably, excessive expression of CXCL5 in the CellCycle malignant epithelium, induced by anti-PD-1 immunotherapy, was found to be a key driver of tumor-associated neutrophil (TAN) recruitment in the TME through the CXCL5/CXCR2 axis. We further revealed that a high level of the protumor TAN signature might lead to anti-PD-1 immunotherapy-related progressive disease (PD) and poor cancer prognosis. The diversity and plasticity of tumor-infiltrating macrophages and fibroblasts were then investigated, and we observed immunotherapy-induced enrichment of subpopulations reported to be associated with tumor progression and immunosuppression. Molecular and functional analyses in cell-derived xenograft (CDX) mouse models directly confirmed the positive in vivo therapeutic effect of targeting the CXCL5/CXCR2 axis during anti-PD-1 immunotherapy. Altogether, our study elucidates GC immunosuppression-associated transcriptomic remodeling during anti-PD-1-based immunotherapy and highlights multiple potential targets for overcoming checkpoint immunotherapy resistance.
DOI: 10.17632/9zn66k84n8.2
title: Apatinib remodels the immunosuppressive tumor ecosystem of gastric cancer enhancing anti-PD-1 immunotherapy

description: Apatinib has been shown to clinically enhance anti-PD-1 immunotherapy for advanced gastric cancer (GC). However, the complexity of GC immunosuppression remains a challenge for precision immunotherapy. Here, we profiled the transcriptomes of 34,182 single cells from GC patient-derived xenografts of humanized mouse models treated with vehicle, nivolumab, or nivolumab plus apatinib. Notably, excessive expression of CXCL5 in CellCycle malignant epithelium, induced by anti-PD-1 immunotherapy and blocked by combined apatinib treatment, was found to be a key driver of tumor-associated neutrophil (TAN) recruitment in tumor microenvironment through the CXCL5/CXCR2 axis. We further revealed that the protumor TAN signature was associated with anti-PD-1 immunotherapy-related progressive disease and poor cancer prognosis. Molecular and functional analyses in cell-derived xenograft models directly confirmed the positive in vivo therapeutic effect of targeting CXCL5/CXCR2 axis during anti-PD-1 immunotherapy. Altogether, our study elucidates GC immunosuppressive landscape in anti-PD-1 immunotherapy and highlights potential targets for overcoming checkpoint immunotherapy resistance.
DOI: 10.17632/9s3p76dvpb.1
title: Preoperative mapping biopsies with local excision in the treatment of Extramammary Paget Disease: a retrospective cohort study and individual patient data analysis

description: Supplementary figures
DOI: 10.17632/db86fvgf76.1
title: B Imaging and Atom Column Chemistry Analysis of (Fe,Cr)2B Phase in High B Containing Ferritic Steel using Probe Aberration-Corrected STEM-based Techniques and Simulation 

description: Raw images from which the analysis has been carried out in the present manuscript
DOI: 10.17632/f3hhxyyhf8.1
title: Sebaceous carcinoma epidemiology, associated malignancies and Lynch/Muir-Torre syndrome screening in England from 2008 to 2018.  Online only Supplementary Information.

description: Online only Supplementary Information for original article published in JAAD. "Sebaceous carcinoma epidemiology, associated malignancies and Lynch/Muir-Torre syndrome screening in England from 2008 to 2018."
DOI: 10.34740/kaggle/dsv/5248001
title: COVID Vaccination in World (updated daily)
DOI: 10.20783/dias.524
title: Bias-corrected CMIP5 GCM daily data

description: The CMIP5_CDFDM_S14FD dataset is bias-corrected CMIP5 GCM daily data developed using CDFDM as the bias-correction method and S14FD as the reference. The dataset offers daily data of 11 climatic variables over the globe from 1961 to 2100 under 4 RCPs and 8 GCMs. The data over the sea and Antarctica are not bias-corrected (i.e., the raw GCM data were used), whereas those over the land are bias-corrected. Variables include daily mean 2m air temperature (tave2m, °C), daily maximum 2m air temperature (tmax2m, °C), daily minimum 2m air temperature (tmin2m, °C), daily total precipitation (precsfc, mm d-1), daily mean downward shortwave radiation flux (dswrfsfc, W m-2), daily mean downward longwave radiation flux (dlwrfsfc, W m-2), daily mean 2m relative humidity (rh2m, %), daily mean 2m specific humidity (spfh2m, kg kg-1), daily mean 2m vapor pressure (vap2m, hPa), daily mean 10m wind speed (wind10m, m s-1) and daily mean surface pressure (pressfc, hPa).
DOI: 10.20783/dias.650
title: 150-year continuous simulation with 60km AGCM and 20km NHRCM by TOUGOU program

description: This is the dataset simulated by high resolution atmospheric global climate model (AGCM) with 60km horizontal resolution, and dynamical downscaling to Japanese region by regional climate model (RCM) with 20km horizontal resolution. The dataset is continuous one from the middle of 20th century to the end of 21th century, consists of the past climate (4 members of initial value ensemble) and the future climate (4 emission scenarios of the RCP2.6/4.5/6.0/8.5). The continuous high-resolution simulations enable to estimate how meteorological events change from the past to the end of the 21st century, and to estimate when changes due to global warming become more pronounced than natural variability.
DOI: 10.20783/dias.641
title: d4PDF explosive cyclone track dataset

description: 1) Explosive cyclone dataset around Japan created from "database for Policy Decision making for Future climate change (d4PDF)" using the objective cyclone tracking algorithm. The 3000 years amount data for historical climate and 5400 years amount data for 4 degree warming future, were used. 2) Source dataset (d4PDF dataset) of this dataset can be obtained from http://search.diasjp.net/en/dataset/d4PDF_RCM . 3) This dataset can be useful for meteorological disaster risk assessment under climate change due to explosive cyclones.
DOI: 10.20783/dias.640
title: d4PDF tropical cyclone track dataset

description: 1) Global tropiocal cyclone dataset created from "database for Policy Decision making for Future climate change (d4PDF)" using the objective cyclone tracking algorithm. The 6000 years amount data for historical climate and 5400 years amount data for 4 degree warming future, were used. 2) Two different objective cyclone tracking algorithm were applied and the each dataset is provided, respectively. 3) Source dataset (d4PDF dataset) of this dataset can be obtained from http://search.diasjp.net/en/dataset/d4PDF_GCM . 4) This dataset can be useful for meteorological disaster risk assessment under climate change due to tropical cyclones.
DOI: 10.5281/zenodo.7774518
title: qPCR data for "An innovative passive sampling approach for the detection of cyanobacterial gene targets in freshwater sources"

description: qPCR data to accompany the manuscript "An innovative passive sampling approach for the detection of cyanobacterial gene targets in freshwater sources"
DOI: 10.5281/zenodo.7774519
title: qPCR data for "An innovative passive sampling approach for the detection of cyanobacterial gene targets in freshwater sources"

description: qPCR data to accompany the manuscript "An innovative passive sampling approach for the detection of cyanobacterial gene targets in freshwater sources"
DOI: 10.5281/zenodo.7774834
title: qPCR data for "An innovative passive sampling approach for the detection of cyanobacterial gene targets in freshwater sources"

description: qPCR data to accompany the manuscript "An innovative passive sampling approach for the detection of cyanobacterial gene targets in freshwater sources"
DOI: 10.20783/dias.630
title: Damage cost of ski resorts in Nagano prefecture due to climate change

description: The dataset contains the damage cost of ski resorts in ten regions of Nagano prefecture and the benefit of artificial snowfall machines as adaptation measure in one GCM (MIROC5) and two RCPs (RCP2.6 and RCP8.5) in two periods (2031-2050 and 2081-2100).
DOI: 10.17632/45tw4fmkf6.1
title: hillfort Vinoř ERT

description: 2D/3D/4D ERT data from hillfort Vinoř (Czechia)
DOI: 10.20783/dias.629
title: Prefectural value of statistical life (VSL) on heat stroke

description: The dataset contains the prefectural value of statistical life (VSL) on heat stroke due to climate change in two years (2050 and 2100).
DOI: 10.20783/dias.628
title: Prefectural damage cost due to beach loss

description: The dataset contains the prefectural damage cost and the prefectural damage cost per unit area due to beach loss in three GCMs (MIROC5, MRI-CGCM3, and HadGEM2-ES) and four RCPs (RCP2.6, RCP4.5, RCP6.0, and RCP8.5) in two periods (2031-2050 and 2081-2100).
DOI: 10.20783/dias.627
title: Prefectural damage cost due to flood

description: The dataset contains the prefectural damage cost due to flood in four GCMs (MIROC5, MRI-CGCM3, GFDL, and HadGEM2-ES) and two RCPs (RCP2.6 and RCP8.5) in 2031-2050.
DOI: 10.20783/dias.568
title: NARO2017 Regional Climate Projection Dataset
title: NARO2017-V2.7r

description: The NARO2017 regional climate change scenario has agro-meteorological elements such as solar radiation, relative humidity, and surface wind speed, which are few examples in common climate scenarios across fields so far. The variance of climate model output with small daily and annual fluctuations is matched by observational statistics. It is a climate scenario that can certainly apply with climate extremes. *Attention!: Please understand that after you have applied for use on DIAS, you may receive an additional application from the National Agriculture and Food Research Organization (NARO).
DOI: 10.20783/dias.647
title: 5-km resolution ensemble climate data around Hokkaido (heavy rainfall event)

description: The dataset contains annual maximum rainfall events at 5 km resolution created using dynamic downscaling of d4PDF 20 km regional experiments. The target event of the dynamical downscaling is set as maximum 72 hours rainfall event between June 1st to November 30th over the catchement area of the Obihiro reference point in Tokachi River. The target domain for downscaling was the area around Hokkaido (some islands were not included). The dynamical downscaling covered three scenarios: historical climate experiment (60 years x 50 ensemble members from 1951 to 2010), +2K future climate experiment (60 years x 9 ensemble members x 6 SST patterns), and +4K future climate experiment (60 years x 15 ensemble members x 6 SST patterns). This dataset contains several thousand years of heavy rainfall at 5km resolution. It is expected to be used for various applications such as statistical evaluation of heavy rainfall, ﬂood risk assessment, and adaptation measures.
DOI: 10.20783/dias.644
title: Typhoon DDS dataset for changing climate

description: CReSS02 and CReSS04 data are high-resolution datasets focusing on typhoons that can affect Japan. The dynamical downscaling (DDS) experiments were performed by the Earth Simulator using a high-resolution non-hydrostatic regional model (Cloud Resolving Storm Simulator, CReSS; Tsuboki and Sakakibara 2002) developed at Nagoya University, with horizontal resolutions of approximately 4 km (CReSS04) and 2 km (CReSS02). (a) CReSS02 The initial and boundary conditions were provided from the output calculated by the Meteorological Research Institute using an atmospheric general circulation model with a horizontal resolution of 20km (MRI-AGCM3.2S, Mizuta et al., 2012). The results of climate runs for the present-day climate (1979-2003), the near-future climate (2015-2039), and the future climate (2075-2099) were used. The targets of the DDS experiment were those in which the minimum central pressure not greater than 970 hPa, which was located in the region between 120°E–150°E 15°N–45°N. The CReSS02 uses latitude and longitude coordinates, with 2403 grids in the longitude direction and 2051 in the latitude direction. The horizontal resolution is 0.0186 and 0.0181 degrees in the longitude and latitude directions, respectively. (b) CReSS04 Dynamical downscaling experiments of TCs traveling over the sea east of Japan were performed by using the Policy Decision-Making for Future Climate Change (d4PDF) database (Mizuta et al. 2017, Sasaki et al. 2011). All TCs that made landfall in eastern Hokkaido in northern Japan from the western North Pacific Ocean with no previous landfalls were selected from the 3,000 years of current-climate (1950-2011, 50 members) and 5,400 years of 4-K warming-climate (2051-2111, 90 members) runs, respectively (MRI-AGCM3.2H). The DDS experiments for all targeted storms were conducted with CReSS with a horizontal resolution of 0.04° (approximately 4 km). The computational domain of CReSS04 spans 128°E–152°E and 24°N–48°N. The CReSS04 uses latitude and longitude coordinates, with 603 grids in the longitude direction and 603 in the latitude direction.
DOI: 10.20783/dias.567
title: NARO2017 Regional Climate Projection Dataset (older version)
title: NARO2017-V2.2

description: The NARO2017 regional climate change scenario has agro-meteorological elements such as solar radiation, relative humidity, and surface wind speed, which are few examples in common climate scenarios across fields so far. The variance of climate model output with small daily and annual fluctuations is matched by observational statistics. It is a climate scenario that can certainly apply with climate extremes. Attention!!: In principle, this data set is not available for the previous version. If you have provided the same data from different sources in the past and need to recalculate for confirmation, you will only be allowed to use it for 30 days.
DOI: 10.20783/dias.564
title: GDHY_v1_2_v1_3

description: The Global Dataset of Historical Yield (GDHY_v1_2_v1_3) offers annual time series data of 0.5-degree grid-cell yield estimates of major crops worldwide for the period 1981-2016. The crops considered in this dataset are maize, rice, wheat and soybean. The unit of yield data is t/ha. The grd-cell yield data were estimated using the satellite-derived crop-specific vegetation index and FAO-reported country yield statistics. Maize and rice have the data for each of two growing seasons (major/secondary). "Winter" and "spring" are used as the growing season categories for wheat. Only "major" growing season is available for soybean. These growing season categories are based on Sacks et al. (2010, DOI: 10.1111/j.1466-8238.2010.00551.x). The geographic distribution of harvested area changes with time in reality, but we used the time-constant data in 2000 (Monfreda et al., 208, doi:10.1029/2007GB002947). Many missing values are found in the first (1981) and last (2016) years because grid-cell yields are not estimated for these years when growing season spans two calendar years. The data for the period 1981-2010 are the same with the version 1.2 (GDHY_v1_2). For the period 2011-2016, a newly created version 1.3 using the satellite products that are different with earlier versions was alighned to ensure the continuity of yield time series. This version is therefore called "the alighned version v1.2+v1.3".
DOI: 10.20783/dias.560
title: database for Policy Decision making for Future climate change (P-level data for dynamical downscaling over Japan)

description: We reproduced a P-level three dimensional data with 17 layers under the histrical, 2K & 4K warming climate based on the pre-industrial period, using the original of d4PDF 20km resolution data (http://search.diasjp.net/ja/dataset/d4PDF_RCM).
DOI: 10.20783/dias.643
title: Global crop phenological events of major crops

description: Using daily weather data for the period 1996–2005 as the inputs to a rule-based agro-climatic resources model, we derive the GPCW, a global dataset of crop phenological windows for maize, soybean, wheat and rice around the year 2000 with a spatial resolution of 0.5° in latitude and longitude. This dataset includes the average dates of sowing, emergence, maturity and harvesting as well as the average dates of silking for maize, flowering for soybean, heading and flowering for wheat, and transplanting, heading and flowering for rice. Distinctions are made between irrigated and rainfed conditions, winter and spring wheat, and single-, dry- and wet-season rice. The daily likelihoods of the occurence of crop phenological events available in the dataset can be converted into peak dates of the occurence of a crop phenological event of interest, with user-defined thresholds.
DOI: 10.20783/dias.545
title: Crop yields under historical and non-warming climate conditions

description: The grid-cell yield data available in this dataset are estimated using the global gridded crop model CYGMA and the assumptions on historical and non-warming climate conditions. The CO2 fertilization is considered when simulating yields under the historical climate condition. The climate inputs to the CYGMA model were derived from the historical and non-warming counterfactual climate simulations using the MRI-AGCM3.2 and used after bias-correction. The data for maize, rice, wheat and soybean for the period 1961-2010 are available at the 0.5-degree resolution. The unit of yield data is tonnes per hectare. Only spring wheat is consisdered. The yield data are available for each of irrigated and rainfed conditions. Also the yield data are available for areas where currently cultivation is not conducted. This allows users to calculate national average yield using user's own irrigation scenarios.
DOI: 10.20783/dias.546
title: Global sowing and harvesting windows of major crops

description: Using daily weather data for the period 1996–2005 as the inputs to a rule-based model, we derive calendars for maize, rice, winter and spring wheat and soybeans around the year 2000 with a spatial resolution of 0.5° in latitude and longitude. Winter and spring wheat and rainfed versus irrigated conditions are differentiated. Separate calendars for rainfed and irrigated conditions and three representative varieties (short-, medium- and long-season varieties) are estimated. The daily probabilities of sowing and harvesting derived using the model can be converted into sowing and harvesting windows, respectively, with user-defined thresholds.