cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8260156
title: BVNA Community Informatics Project Dataset I

description: This collection comprises geospatial datasets used to create the Beaverdam Valley Neighborhood Association community map and the resulting map in pdf and jpeg formats. This scope of the map covers the borders of Buncombe County, North Carolina, the city limits of Asheville, NC, and the three registered neighborhoods of the Beaverdam Valley (Beaverdam Valley, Hills of Beaverdam, and Beaverdam Run). The geospatial data includes the following layers and associated files: "AVL City Limits.geojson": City of Asheville GIS municipal boundary data "AVL City Limits.qmd": QGIS metadata file for the above "AVL Neighborhoods.geojson": City of Asheville GIS registered neighborhood data "AVL Neighborhoods.qmd": QGIS metadata file for the above "Buncombe_County_Parcels.geojson": Buncombe County GIS parcel data. "Buncombe_County_Parcels.qmd": QGIS metadata file for the above "BV Boundaries.geojson": Beaverdam Valley Neighborhood boundaries. "BV Boundaries.qmd": QGIS metadata file for the above "BV Parcel Intersection.geojson": Intersection of the Beverdam Valley Neighborhood boundaries with the Buncombe County Parcel data. "BV Parcel Intersection.qmd": QGIS metadata file for the above "BVNA_Map_2022_v2.pdf": BVNA CIP Community Map "BVNA_Map_2022_v2_825.jpg": BVNA CIP Community Map "City Limits.geojson": Buncombe county boundaries and city limits boundaries witin the county. "QGIS BVNA CIP.zip": Zip file containing the above layers in a QGIS project folder and file. About the Project: The Beaverdam Valley Neighborhood Association (BVNA) Community Informatics Project aims to gain deeper understanding of the Beaverdam Valley community and to work towards gathering and sharing information about the community and its history. This collection represents a deliverable produced under the 2022-2023 City of Asheville Neighborhood Matching Grant program.
description: The Beaverdam Valley Neighborhood Association Commumity Informatics Project was funded by the 2022-2023 City of Asheville Neighborhood Matching Grant program.
DOI: 10.5281/zenodo.8260155
title: BVNA Community Informatics Project Dataset I

description: This collection comprises geospatial datasets used to create the Beaverdam Valley Neighborhood Association community map and the resulting map in pdf and jpeg formats. This scope of the map covers the borders of Buncombe County, North Carolina, the city limits of Asheville, NC, and the three registered neighborhoods of the Beaverdam Valley (Beaverdam Valley, Hills of Beaverdam, and Beaverdam Run). The geospatial data includes the following layers and associated files: "AVL City Limits.geojson": City of Asheville GIS municipal boundary data "AVL City Limits.qmd": QGIS metadata file for the above "AVL Neighborhoods.geojson": City of Asheville GIS registered neighborhood data "AVL Neighborhoods.qmd": QGIS metadata file for the above "Buncombe_County_Parcels.geojson": Buncombe County GIS parcel data. "Buncombe_County_Parcels.qmd": QGIS metadata file for the above "BV Boundaries.geojson": Beaverdam Valley Neighborhood boundaries. "BV Boundaries.qmd": QGIS metadata file for the above "BV Parcel Intersection.geojson": Intersection of the Beverdam Valley Neighborhood boundaries with the Buncombe County Parcel data. "BV Parcel Intersection.qmd": QGIS metadata file for the above "BVNA_Map_2022_v2.pdf": BVNA CIP Community Map "BVNA_Map_2022_v2_825.jpg": BVNA CIP Community Map "City Limits.geojson": Buncombe county boundaries and city limits boundaries witin the county. "QGIS BVNA CIP.zip": Zip file containing the above layers in a QGIS project folder and file. About the Project: The Beaverdam Valley Neighborhood Association (BVNA) Community Informatics Project aims to gain deeper understanding of the Beaverdam Valley community and to work towards gathering and sharing information about the community and its history. This collection represents a deliverable produced under the 2022-2023 City of Asheville Neighborhood Matching Grant program.
description: The Beaverdam Valley Neighborhood Association Commumity Informatics Project was funded by the 2022-2023 City of Asheville Neighborhood Matching Grant program.
DOI: 10.57841/casdc.0002401
title: CO在Ru掺杂Co表面的吸附与解离行为
DOI: 10.5281/zenodo.7968007
title: Open-Source System for Real Time Functional Assessment of In-Vitro Filtration Barriers

description: Microphysiological systems that incorporate synthetic or natural membranes with human cells mimic the human kidney, and they can readily be used to study key cell biological processes as well as drug effects and interactions. We present an affordable, open-source platform for the real-time monitoring of functional filtration status in engineered microphysiological systems. Using readily available components, our assay can linearly detect concentrations of two target molecules, FITC-labeled inulin and Texas Red-labeled human serum albumin, within clinically relevant ranges, and can be easily modified to integrate with different target molecules of different sizes and tags. We show that the platform enables real-time tracking of size-dependent diffusion with minimal fluid volume loss and without manual extraction of media, making it suitable for continuous operational monitoring of filtration status of microphysiological systems. The platform’s affordability and integrability with microphysiological systems make it ideal for many precision medicine applications, including evaluation of drug nephrotoxicity assessment and other forms of drug discovery applications.
description: Dataset includes raw intensity values and images in .TIFF format. Code can be found at: https://github.com/AzelogluLab/Sensor/
DOI: 10.5281/zenodo.7968008
title: Open-Source System for Real Time Functional Assessment of In-Vitro Filtration Barriers

description: Microphysiological systems that incorporate synthetic or natural membranes with human cells mimic the human kidney, and they can readily be used to study key cell biological processes as well as drug effects and interactions. We present an affordable, open-source platform for the real-time monitoring of functional filtration status in engineered microphysiological systems. Using readily available components, our assay can linearly detect concentrations of two target molecules, FITC-labeled inulin and Texas Red-labeled human serum albumin, within clinically relevant ranges, and can be easily modified to integrate with different target molecules of different sizes and tags. We show that the platform enables real-time tracking of size-dependent diffusion with minimal fluid volume loss and without manual extraction of media, making it suitable for continuous operational monitoring of filtration status of microphysiological systems. The platform’s affordability and integrability with microphysiological systems make it ideal for many precision medicine applications, including evaluation of drug nephrotoxicity assessment and other forms of drug discovery applications.
description: Dataset includes raw intensity values and images in .TIFF format. Code can be found at: https://github.com/AzelogluLab/Sensor/
DOI: 10.5281/zenodo.8357481
title: Open-Source System for Real Time Functional Assessment of In-Vitro Filtration Barriers

description: Microphysiological systems that incorporate synthetic or natural membranes with human cells mimic the human kidney, and they can readily be used to study key cell biological processes as well as drug effects and interactions. We present an affordable, open-source platform for the real-time monitoring of functional filtration status in engineered microphysiological systems. Using readily available components, our assay can linearly detect concentrations of two target molecules, FITC-labeled inulin and Texas Red-labeled human serum albumin, within clinically relevant ranges, and can be easily modified to integrate with different target molecules of different sizes and tags. We show that the platform enables real-time tracking of size-dependent diffusion with minimal fluid volume loss and without manual extraction of media, making it suitable for continuous operational monitoring of filtration status of microphysiological systems. The platform’s affordability and integrability with microphysiological systems make it ideal for many precision medicine applications, including evaluation of drug nephrotoxicity assessment and other forms of drug discovery applications.
description: Dataset includes raw intensity values and images in .TIFF format. Code can be found at: https://github.com/AzelogluLab/Sensor/
DOI: 10.6084/m9.figshare.24154785
title: Sample plot data of Yipinglang Forest Farm.xlsx

description: The study area is the Yipinglang Forest Area, Lufeng County, Yunnan Province. The area is located on the Central Yunnan Plateau (Figure 1), and the forest area ranges from 24°59′ to 25°13′N and from 101°40′ to 102°05′ E, with elevations from 1495 to 2594 m. The region has a subtropical plateau monsoon climate with distinct wet and dry seasons. The annual temperature is 15.6 ℃ to 16.2 ℃, the annual precipitation is 930.5 mm, and the annual cumulative temperature (over 10 ℃) is 4900 to 5913 ℃. Subtropical evergreen broad-leaved forests dominate this region. Major tree species include Yunnan Pine (<i>Pinus yunnanensis</i> Franch.), Huashan Pine (<i>Pinus armandi</i> Franch.), Yunjiang Castanopsis (<i>Castanopsis orthacantha</i> Franch.), Yunnan Ketelleria (<i>Keteleeria evelyniana</i> Mast.), Mountain Castanopsis (<i>Castanopsis delavayi</i> Franch.) and Yunnan Oriental White Oak (<i>Cyclobalanopsis glaucoides</i> Schottky.).
DOI: 10.57841/casdc.0002402
title: 反应气氛下FCC Co纳米颗粒形貌的演变行为
DOI: 10.57841/casdc.0002403
title: 离子导体层调控正极-固体电解质的界面电位降实现增强固体电池的界面动力学数据集
DOI: 10.57841/casdc.0002404
title: 原位构建无定型CEI实现持久稳定的正极界面用于混合固液锂金属电池数据集
DOI: 10.57841/casdc.0002405
title: 用于长寿命锂金属负极的高弹性绿色原位生长SEI层数据集
DOI: 10.6084/m9.figshare.24156021
title: Genome assembly and annotation of <i>Caligula japonica</i>

description: We conducted high-throughput sequencing of<i> Caligula japonica</i> and obtained a high-quality chromosome-level genome. And we have uploaded the genome assembly and its annotation information from this study to the project.
DOI: 10.6084/m9.figshare.24156021.v1
title: Genome assembly and annotation of <i>Caligula japonica</i>

description: We conducted high-throughput sequencing of<i> Caligula japonica</i> and obtained a high-quality chromosome-level genome. And we have uploaded the genome assembly and its annotation information from this study to the project.
DOI: 10.57841/casdc.0002406
title: 一种用于更安全电池的智能风险响应聚合物膜数据集
DOI: 10.57841/casdc.0002407
title: 粘弹性和不易燃的界面设计助力无枝晶和安全的固体锂金属电池数据集
DOI: 10.25919/h50b-tv19
title: Parkes observations for project PX600 semester 2020APRS_94

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.57841/casdc.0002408
title: 可充电固态电池中的稳定聚合物-锂金属界面数据集
DOI: 10.21227/afd1-v843
title: Portable X/gamma-ray survey meter based on the Internet of Things network for measuring the environmental radiation distribution

description: In this study, we developed a portable X/gamma-ray survey meter for large-scale distributed real-time monitoring of the ambient dose equivalent rate in the surrounding environment, using a silicon photomultiplier coupled with a CsI(Tl) scintillator. This innovation is integrated into an Internet of Things (IoT) network. The device realizes a wide range of dose rate measurements by switching the frequency of a pulse-frequency modulation (PFM) -type DC-DC power supply mode. The energy response is improved through Geant4 simulation and multicomparator design. The energy response of the survey meter ranges from 48 keV to 1.3 MeV, encompassing common protection level applications. It effectively measures gamma radiation dose rates ranging between 0.1 uSv/h and 100 mSv/h for Co-60. Temperature compensation of the detector was achieved through a series of experiments; the meter exhibits a deviation of -25% to +25% at temperatures between -40 and +40℃.
DOI: 10.5281/zenodo.8357170
title: NAMD Trajectory of a DLiPC (di18:2PC) bilayer

description: All-atom DLiPC (1,2-dilinoleoyl-sn-glycero-3-phosphocholine) bilayer simulated in NPT ensemble with NAMD and the CHARMM36 force field from Doktorova et al. 2017 Phys. Chem. Chem. Phys. article (DOI 10.1039/c7cp01921a). The trajectory represents the last 245 ns used for analysis where the area per lipid is equilibrated (the file has 12250 frames output every 20 ps). The bilayer has 200 lipids total (100 lipids per leaflet) and is hydrated with 45 waters/lipid. The simulation was done at 25C (298.15K) and the trajectory is centered on the bilayer midplane.
description: Attached files include the structure (.psf and .pdb), trajectory (.dcd) and a copy of the NAMD input file with simulation parameters.
description: {"references": ["Doktorova M, Harries D, and Khelashvili, G. 2017. Determination of bending rigidity and tilt modulus of lipid membranes from real-space fluctuation analysis of molecular dynamics simulations. Phys. Chem. Chem. Phys. 19:16806-16818. DOI: 10.1039/C7CP01921A"]}
DOI: 10.6073/pasta/98d5c6ba4e82cca8ffc12e3c0922a668
title: Biomass and Plant Species Composition on Hog and Metompkin Islands, 2020-2022

description: Beginning in 2020, annual plant surveys were conducted along 3 cross-shore transects on Hog and Metompkin Islands along the Atlantic coast of Virginia. Transects were established starting at the high water mark, and continuing inland until reaching a shrub thicket. Plots were placed 10m apart in beach and swale habitats, and 5m apart across dunes. At each plot, percent composition was measured within a 0.25m^2 quadrat. Aboveground biomass was also obtained within a randomly placed 10x100cm^2 quadrat. Biomass was then dried and weighed. Due to logistical constraints, biomass was not collected in 2022.
DOI: 10.5281/zenodo.8357169
title: NAMD Trajectory of a DLiPC (di18:2PC) bilayer

description: All-atom DLiPC (1,2-dilinoleoyl-sn-glycero-3-phosphocholine) bilayer simulated in NPT ensemble with NAMD and the CHARMM36 force field from Doktorova et al. 2017 Phys. Chem. Chem. Phys. article (DOI 10.1039/c7cp01921a). The trajectory represents the last 245 ns used for analysis where the area per lipid is equilibrated (the file has 12250 frames output every 20 ps). The bilayer has 200 lipids total (100 lipids per leaflet) and is hydrated with 45 waters/lipid. The simulation was done at 25C (298.15K) and the trajectory is centered on the bilayer midplane.
description: Attached files include the structure (.psf and .pdb), trajectory (.dcd) and a copy of the NAMD input file with simulation parameters.
description: {"references": ["Doktorova M, Harries D, and Khelashvili, G. 2017. Determination of bending rigidity and tilt modulus of lipid membranes from real-space fluctuation analysis of molecular dynamics simulations. Phys. Chem. Chem. Phys. 19:16806-16818. DOI: 10.1039/C7CP01921A"]}
DOI: 10.5281/zenodo.8357492
title: Data for aerosol assimilations by NICAM.19/2DVar

description: These data are a set of assimilations using a global aerosol model, NICAM.19, coupled to a 2-dimensional variational method (2DVar). The data are used in the following manuscript. D. Goto, T. Nishizawa, J. Uchida, K. Yumimoto, Y. Jin, A. Higurashi, A. Shimizu, S. Sugata, H. Yashiro, M. Hayasaki, T. Dai, Y. Cheng, and H. Tanimoto, Development of aerosol assimilation system using global non-hydrostatic model, 2-dimensional variation method, and multiple satellite-based aerosol products, to be submitted to Journal of Advances in Modeling Earth Systems.
DOI: 10.5281/zenodo.8357491
title: Data for aerosol assimilations by NICAM.19/2DVar

description: These data are a set of assimilations using a global aerosol model, NICAM.19, coupled to a 2-dimensional variational method (2DVar). The data are used in the following manuscript. D. Goto, T. Nishizawa, J. Uchida, K. Yumimoto, Y. Jin, A. Higurashi, A. Shimizu, S. Sugata, H. Yashiro, M. Hayasaki, T. Dai, Y. Cheng, and H. Tanimoto, Development of aerosol assimilation system using global non-hydrostatic model, 2-dimensional variation method, and multiple satellite-based aerosol products, to be submitted to Journal of Advances in Modeling Earth Systems.
DOI: 10.6084/m9.figshare.24135969
title: The datasets analyses during the study “Identification of Novel NSD1 Variations in Four Pediatric Cases of Sotos Syndrome".

description: The datasets analyses during the study “Identification of Novel NSD1 Variations in Four Pediatric Cases of Sotos Syndrome".
DOI: 10.6084/m9.figshare.24135969.v1
title: The datasets analyses during the study “Identification of Novel NSD1 Variations in Four Pediatric Cases of Sotos Syndrome".

description: The datasets analyses during the study “Identification of Novel NSD1 Variations in Four Pediatric Cases of Sotos Syndrome".
DOI: 10.6084/m9.figshare.24135969.v2
title: The datasets analyses during the study “Identification of Novel NSD1 Variations in Four Pediatric Cases of Sotos Syndrome".

description: The datasets analyses during the study “Identification of Novel NSD1 Variations in Four Pediatric Cases of Sotos Syndrome".
DOI: 10.34740/kaggle/dsv/6496278
title: WallStreetBets 2022
DOI: 10.5281/zenodo.8357546
title: ESM4.1 and Argo float 7647 ESPER, eOMP files and scripts

description: This dataset contains NOAA GFDL's ESM4.1 outputs for the California Current System interpolated to 1˚ latitude/longitude resolution and a netCDF file containing data from Argo float 7647. The jupyter notebook files are examples of how to run eOMP analysis using these data and the pyompa scripts described in Shrikumar et al. (2022). The Argo float data does not include phosphate and silicate, which were not measured. These variables are estimated using ESPER routines (Carter et al., 2021) as described in the matlab file. Shrikumar, A., Lawrence, R., Casciotti, K.L.. PYOMPA version 0.3: Technical Note. <em>Authorea</em>. February 04, 2022. doi:10.1002/essoar.10507053.4 Carter, B.R., Bittig, H.C., Fassbender, A.J., Sharp, J.D., Takeshita, Y., Xu, Y-Y., Álvarez, M., Wanninkhof, R., Feely, R.A., Barbero, L., 2021. New and updated global empirical seawater property estimation routines. Limnol Oceanogr Methods, 19: 785-809. doi:10.1002/lom3.10461
DOI: 10.5281/zenodo.8357545
title: ESM4.1 and Argo float 7647 ESPER, eOMP files and scripts

description: This dataset contains NOAA GFDL's ESM4.1 outputs for the California Current System interpolated to 1˚ latitude/longitude resolution and a netCDF file containing data from Argo float 7647. The jupyter notebook files are examples of how to run eOMP analysis using these data and the pyompa scripts described in Shrikumar et al. (2022). The Argo float data does not include phosphate and silicate, which were not measured. These variables are estimated using ESPER routines (Carter et al., 2021) as described in the matlab file. Shrikumar, A., Lawrence, R., Casciotti, K.L.. PYOMPA version 0.3: Technical Note. <em>Authorea</em>. February 04, 2022. doi:10.1002/essoar.10507053.4 Carter, B.R., Bittig, H.C., Fassbender, A.J., Sharp, J.D., Takeshita, Y., Xu, Y-Y., Álvarez, M., Wanninkhof, R., Feely, R.A., Barbero, L., 2021. New and updated global empirical seawater property estimation routines. Limnol Oceanogr Methods, 19: 785-809. doi:10.1002/lom3.10461
DOI: 10.6084/m9.figshare.24158991
title: Expression profiles of immune biomarkers following LPS exposure

description: Raw data values from transcription and protein expression analysis, viability tests, ELISA, and interpolation results from protein expression and ELISA.
DOI: 10.6084/m9.figshare.24158991.v1
title: Expression profiles of immune biomarkers following LPS exposure

description: Raw data values from transcription and protein expression analysis, viability tests, ELISA, and interpolation results from protein expression and ELISA.
DOI: 10.6084/m9.figshare.23808098.v1
title: A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data

description: In engineering practice, many products exhibit multiple and dependent degrading performance characteristics (PCs). It is common to observe that these PCs’ initial measurements are nonconstant and sometimes correlated with the subsequent degradation rate, which typically varies from one unit to another. To accommodate the unit-wise heterogeneity, PC-wise dependency, and “initiation-growth” correlation, this article proposes a broad class of multi-dimensional degradation models under a framework of hierarchical multivariate Wiener processes. These models incorporate dual multi-normally distributed random effects concerning the initial values and degradation rates. To infer model parameters, expectation-maximization (EM) algorithms and several tools for model validation and selection are developed. Various simulation studies are carried out to assess the performance of the inference method and to compare different models. Two case studies are conducted to demonstrate the applicability of the proposed methodology. The online supplementary materials of this article contain derivations of EM estimators, additional numerical results, and R codes.
DOI: 10.6084/m9.figshare.23808098
title: A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data

description: In engineering practice, many products exhibit multiple and dependent degrading performance characteristics (PCs). It is common to observe that these PCs’ initial measurements are nonconstant and sometimes correlated with the subsequent degradation rate, which typically varies from one unit to another. To accommodate the unit-wise heterogeneity, PC-wise dependency, and “initiation-growth” correlation, this article proposes a broad class of multi-dimensional degradation models under a framework of hierarchical multivariate Wiener processes. These models incorporate dual multi-normally distributed random effects concerning the initial values and degradation rates. To infer model parameters, expectation-maximization (EM) algorithms and several tools for model validation and selection are developed. Various simulation studies are carried out to assess the performance of the inference method and to compare different models. Two case studies are conducted to demonstrate the applicability of the proposed methodology. The online supplementary materials of this article contain derivations of EM estimators, additional numerical results, and R codes.
DOI: 10.6084/m9.figshare.24158994
title: Raw Data - Esophageal Cancer

description: Raw Data - Esophageal Cancer
DOI: 10.6084/m9.figshare.24158994.v1
title: Raw Data - Esophageal Cancer

description: Raw Data - Esophageal Cancer