cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18434/m32061
title: A Dataset Associated with NIST TN Review of Smart Grid Standards for Testing and Certification Landscape Analysis

description: This dataset is associated with NIST TN publication: Review of Smart Grid Standards for Testing and Certification (T&C) landscape analysis. It includes a list of 240 reviewed smart grid standards for T&C landscape analysis using a set of functional metrics that include information models and model mapping, communication protocols and protocol mapping, device physical performance, test method, guide and practice, and cybersecurity of standards. These functional metrics are used to analyze smart grid standards and their T&C program availability.
DOI: 10.18434/m32071
title: Cybersecurity Framework Manufacturing Profile Low Security Level Example Implementations for Process-based Manufacturing System Datasets

description: The Cybersecurity Framework Manufacturing Profile Low Security Level Example Implementations Guide provides example proof-of-concept solutions demonstrating how open-source and commercial off-the-shelf (COTS) products that are currently available today can be implemented in manufacturing environments to satisfy the requirements in the Cybersecurity Framework (CSF) Manufacturing Profile [8] Low Security Level. Example proof-of-concept solutions for a process-based manufacturing environment and a discrete-based manufacturing environment are included in the guide. Depending on factors like size, sophistication, risk tolerance, and threat landscape, manufacturers should make their own determinations about the breadth of the proof-of-concept solutions they may voluntarily implement. The dataset records the Key Performance Indicator (KPI) for the example implementation of the process-based manufacturing system use case.
DOI: 10.18434/m32072
title: Cybersecurity Framework Manufacturing Profile Low Security Level Example Implementations for Discrete-based Manufacturing System Datasets

description: The Cybersecurity Framework Manufacturing Profile Low Security Level Example Implementations Guide provides example proof-of-concept solutions demonstrating how open-source and commercial off-the-shelf (COTS) products that are currently available today can be implemented in manufacturing environments to satisfy the requirements in the Cybersecurity Framework (CSF) Manufacturing Profile Low Security Level. Example proof-of-concept solutions for a process-based manufacturing environment and a discrete-based manufacturing environment are included in the guide. Depending on factors like size, sophistication, risk tolerance, and threat landscape, manufacturers should make their own determinations about the breadth of the proof-of-concept solutions they may voluntarily implement. The dataset includes all of the raw and processed measurement data for the example implementation of the discrete-based manufacturing system use case.
DOI: 10.18434/m32077
title: Measurement Data for a Wireless Force Seeking Apparatus

description: Cyber-physical systems are systems governed by the laws of physics that are tightly controlled by computer-based algorithms and network-based sensing and actuation. Wireless communication technology is envisioned to play a primary role in conducting the information flows within such systems. A practical industrial wireless use case involving a robot manipulator control system, an integrated wireless force-torque sensor, and a remote vision-based observer is constructed and the performance of the cyber-physical system is examined. The resulting data from the experiments conducted are included in the dataset.
DOI: 10.34740/kaggle/dsv/2795990
title: COVID Vaccination in World (updated daily)
DOI: 10.18434/m32100
title: Measurement Dataset for A Wireless Gantry System

description: This dataset includes the position data of a two-dimensional gantry system experiment in which the G-code commands for the gantry were transmitted through a wireless communications link. The testbed is composed of four main components related to the operation of the gantry system. These components are the gantry system, the Wi-Fi network, the RF channel emulator, and the supervisory computer. In the experimental study, we run a scenario in which the gantry tool moves sequentially between four positions and has a preset dwell at each of the positions. The wireless channel impact is produced through the RF channel emulator. First, we consider the benchmark channel with free-space log-distance path loss and ideal channel impulse response (CIR) which has no multi-path. Second, we consider a measured delay profile of an industrial environment where the CIR is experimentally measured and processed to be deployed using the channel emulator and to reflect the industrial environment impact. Moreover, time-varying log-normal shadowing is introduced due to the fluctuations in the signal level because of obstructions. The variance of zero-mean log-normal shadowing is set through the emulator. In order to collect the position information of the gantry system tool, we used a vision tracking system. In this dataset, we attached a meta_data.csv file to map various files to their corresponding parameters. A README.doc file is included to describe the measurement apparatus.
DOI: 10.18434/m32137
title: BGP Secure Routing Extension (BGP-SRx): Reference Implementation and Test Tools for Emerging BGP Security Standards
DOI: 10.25721/a4pa-me20
title: 31.4_01 - Enquête : relevés des phonogrammes enregistrés à Saint-Barthélemy (nov. 1978)
DOI: 10.25721/vk7a-2v52
title: 31.6_01 - Organisation : correspondance; 1983-1987
DOI: 10.25721/7tyq-cw16
title: 31.6_02 - Enquête : carnet-journal de terrain
DOI: 10.25721/3n8s-he72
title: 31.6_03 - Enquête : relevés ms d'airs et de chansons
DOI: 10.25721/ttcw-rt15
title: 31.6_04 - Enquête : relevés des phonogrammes
DOI: 10.5281/zenodo.5253552
title: Bakta Annotation Examples

description: This data repository provides exemplary bacterial genome annotations conducted with Bakta v1.1 comprising a broad taxonomical range of many pathogenic (all ESKAPE), commensal and environmental genomes from RefSeq. Bakta is a tool for the rapid & standardized local annotation of bacterial genomes & plasmids. It provides <strong>dbxref</strong>-rich and <strong>sORF</strong>-including annotations in machine-readble <code>JSON</code> & bioinformatics standard file formats for automatic downstream analysis: https://github.com/oschwengers/bakta
DOI: 10.5281/zenodo.4770026
title: Bakta Annotation Examples

description: This data repository provides exemplary bacterial genome annotations conducted with Bakta v1.1 comprising a broad taxonomical range of many pathogenic (all ESKAPE), commensal and environmental genomes from RefSeq. Bakta is a tool for the rapid & standardized local annotation of bacterial genomes & plasmids. It provides <strong>dbxref</strong>-rich and <strong>sORF</strong>-including annotations in machine-readble <code>JSON</code> & bioinformatics standard file formats for automatic downstream analysis: https://github.com/oschwengers/bakta
DOI: 10.25721/2e4h-d825
title: 32.2_02 - Organisation : préparation logistique de l'enquête
DOI: 10.25721/fa2t-ym45
title: 32.2_03 - Organisation : documentation rassemblée
DOI: 10.25721/6vta-0790
title: 32.2_04 - Enquête : « Journal de route; Suisse romande; 1972 »
DOI: 10.25721/0bth-ev35
title: 32.2_05 - Enquête : carnet de terrain
DOI: 10.25721/pfk3-a898
title: 32.2_06 - Enquête : carnet de terrain
DOI: 10.25721/059n-pa91
title: 32.2_07 - Enquête : carnet- répertoire
DOI: 10.25721/3064-bz98
title: 32.2_08 - Enquête : carnet des enregistrements
DOI: 10.5281/zenodo.5650962
title: 3D dataset of root soil bacteria dynamics obtained using large field of view light sheet microscope

description: A tailor made dual-illumination light-sheet system acquired photons scattered from the plant whilst fluorescence emissions were simultaneously captured from transparent soil particles and labelled microorganisms, allowing the generation of quantitative data on samples approximately 3600 mm<sup>3</sup> in size with as good as 5 µm resolution at a rate of up to one scan every 30 minutes. The dataset shows the dynamics of Bacillus subtilis populations in the rhizosphere of lettuce plants in real time.
description: 1 The dataset 'rawdata_Hourly_Scan_2019_05_24' is a time-lapse imaging of Bacillus subtilis populations in the rhizosphere of a lettuce plant with a rate of 60 minutes per volumetric scan. This dataset contains initial 12-hour raw images acquired from the camera and was processed and used in the SUPPLEMENTARY VIDEO 6, 7, and 8, Figure 4 and other analysis. In detail, the 'A' are root images from 633 nm scattering signal, the 'B' are transparent soil (Nafion) images from red fluorescence signal (excitation: 561nm, emission: longpass at 600 nm), and the 'D' are gfp-tagged Bacillus subtilis images from green fluorescence signal (excitation: 488 nm, emission: band-pass at 520 nm,36 nm band). 2 The dataset 'Hourly_Scan_2019_05_24' is the mat(MATLAB) file of the same scan but contains fully 23 hours. The image data in the mat file is affine transformed to real geometry and stiched into a whole 3D dataset. In detail: 'Root.mat' represents the timelapse dataset of the scattering signal intensity from which root length and position can be calculated 'Bacteria.mat' represents the timelapse dataset of the green fluorescence intensity from which bacterial cell density and position can be calculated 'Soil.mat' represents the timelapse dataset of the red fluorescence intensity from which the position of soil particles can be calculated 'stack_Distance_Pore' represents the sum of pixel as a function of the distance from root surface (D) and soil pore (P). D ranges from 0 to 3.6 mm and is decomposed into 128 intervals. P ranges from 0 to 0.8 mm and is decomposed into 128 intervals. 'stack_Distance_Pore_Intensity' represents the sum of pixel intensity as a function the distance from root surface (D) and soil pore (P). D ranges from 0 to 3.6 mm and is decomposed into 128 intervals. P ranges from 0 to 0.8 mm and is decomposed into 128 intervals.
DOI: 10.5281/zenodo.5650961
title: 3D dataset of root soil bacteria dynamics obtained using large field of view light sheet microscope

description: A tailor made dual-illumination light-sheet system acquired photons scattered from the plant whilst fluorescence emissions were simultaneously captured from transparent soil particles and labelled microorganisms, allowing the generation of quantitative data on samples approximately 3600 mm<sup>3</sup> in size with as good as 5 µm resolution at a rate of up to one scan every 30 minutes. The dataset shows the dynamics of Bacillus subtilis populations in the rhizosphere of lettuce plants in real time.
description: 1 The dataset 'rawdata_Hourly_Scan_2019_05_24' is a time-lapse imaging of Bacillus subtilis populations in the rhizosphere of a lettuce plant with a rate of 60 minutes per volumetric scan. This dataset contains initial 12-hour raw images acquired from the camera and was processed and used in the SUPPLEMENTARY VIDEO 6, 7, and 8, Figure 4 and other analysis. In detail, the 'A' are root images from 633 nm scattering signal, the 'B' are transparent soil (Nafion) images from red fluorescence signal (excitation: 561nm, emission: longpass at 600 nm), and the 'D' are gfp-tagged Bacillus subtilis images from green fluorescence signal (excitation: 488 nm, emission: band-pass at 520 nm,36 nm band). 2 The dataset 'Hourly_Scan_2019_05_24' is the mat(MATLAB) file of the same scan but contains fully 23 hours. The image data in the mat file is affine transformed to real geometry and stiched into a whole 3D dataset. In detail: 'Root.mat' represents the timelapse dataset of the scattering signal intensity from which root length and position can be calculated 'Bacteria.mat' represents the timelapse dataset of the green fluorescence intensity from which bacterial cell density and position can be calculated 'Soil.mat' represents the timelapse dataset of the red fluorescence intensity from which the position of soil particles can be calculated 'stack_Distance_Pore' represents the sum of pixel as a function of the distance from root surface (D) and soil pore (P). D ranges from 0 to 3.6 mm and is decomposed into 128 intervals. P ranges from 0 to 0.8 mm and is decomposed into 128 intervals. 'stack_Distance_Pore_Intensity' represents the sum of pixel intensity as a function the distance from root surface (D) and soil pore (P). D ranges from 0 to 3.6 mm and is decomposed into 128 intervals. P ranges from 0 to 0.8 mm and is decomposed into 128 intervals.
DOI: 10.25721/gv2a-wj13
title: 32.2_09 - Enquête : notes ms d'enquête
DOI: 10.6084/m9.figshare.16974712
title: Table S7.xlsx

description: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results of apoptosis-related genes.
DOI: 10.6084/m9.figshare.16974751
title: Table S8.xlsx

description: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results of immune-related genes.<br>
DOI: 10.6084/m9.figshare.16974751.v1
title: Table S8.xlsx

description: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results of immune-related genes.<br>
DOI: 10.6084/m9.figshare.16974754
title: Supplementary Material for: A Questionnaire-Based Survey on the Impact of the COVID-19 Pandemic on Gastrointestinal Endoscopy in Asia

description: <b><i>Introduction:</i></b> The COVID-19 outbreak abruptly restricted gastrointestinal (GI) endoscopy services during the first wave of the pandemic. We aimed to assess the impact of COVID-19 on the practice of GI endoscopy in Asian countries. <b><i>Methods:</i></b> This was an International Questionnaire-based Internet Survey conducted at multiple facilities by the International Gastrointestinal Consensus Symposium. A total of 166 respondents in Japan, China, Hong Kong, South Korea, Philippines, Thailand, Indonesia, and Singapore participated in this study. <b><i>Results:</i></b> The volume of endoscopic screening or follow-up endoscopies and therapeutic endoscopies were markedly reduced during the first wave of the pandemic, which was mainly attributed to the decreased number of outpatients, cancellations by patients, and adherence to the guidelines of academic societies. The most common indications for GI endoscopy during the first wave were GI bleeding, cholangitis or obstructive jaundice, and a highly suspicious case of neoplasia. The most common GI symptoms of COVID-19 patients during the infected period included diarrhea, nausea, and vomiting. The pandemic exacerbated some GI diseases, such as functional dyspepsia and irritable bowel syndrome. There were cases with delayed diagnosis of cancers due to postponed endoscopic procedures, and the prescription of proton pump inhibitors/potassium-competitive acid blockers, steroids, immunosuppressive agents, and biologics was delayed or canceled. The personal protective equipment used during endoscopic procedures for high-risk patients were disposable gloves, disposable gowns, N95 or equivalent masks, and face shields. However, the devices on the patient side during endoscopic procedures included modified surgical masks, mouthpieces with filters, and disposable vinyl boxes or aerosol boxes covering the head. Furthermore, the time for education, basic research, clinical research, and daily clinical practice decreased during the first wave. <b><i>Conclusion:</i></b> This study demonstrated that the COVID-19 pandemic profoundly affected the method of performing GI endoscopy and medical treatment for patients with GI diseases in Asian countries.
DOI: 10.3886/e150021
title: Replication Data for: Agricultural productivity and fertility rates: Evidence from the oil palm boom in Indonesia

description: We analyze the link between agricultural productivity growth and fertility rates, using the oil palm boom in Indonesia as an empirical setting. We find consistent negative effects of oil palm expansion on fertility during the period 1996-2016. This finding appears to be linked to rising farm profits that led to consumption growth, an expansion of the non-agricultural sector, increasing wage returns to education and higher school enrollment. Together, these findings suggest that agricultural productivity growth can play an important role in accelerating the fertility transition, as long as the economic benefits are large enough to translate into local economic development. <b>JEL Classification</b>: J13, O13, O14, Q10
DOI: 10.3886/e150021v1
title: Replication Data for: Agricultural productivity and fertility rates: Evidence from the oil palm boom in Indonesia

description: We analyze the link between agricultural productivity growth and fertility rates, using the oil palm boom in Indonesia as an empirical setting. We find consistent negative effects of oil palm expansion on fertility during the period 1996-2016. This finding appears to be linked to rising farm profits that led to consumption growth, an expansion of the non-agricultural sector, increasing wage returns to education and higher school enrollment. Together, these findings suggest that agricultural productivity growth can play an important role in accelerating the fertility transition, as long as the economic benefits are large enough to translate into local economic development. <b>JEL Classification</b>: J13, O13, O14, Q10
DOI: 10.5066/p95pt2rv
title: Flood inundation map geospatial datasets for Lake Ontario, New York

description: Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at the following 8 USGS lake gages on Lake Ontario: A &ndash; Lake Ontario (Thirtymile point) at Golden Hill State Park, NY (station number 04219796) B &ndash; Lake Ontario at Hamlin Beach State Park near North Hamlin, NY (station number 04220209) C &ndash; Lake Ontario at Braddock Heights, NY (station number 04220253) D &ndash; Lake Ontario at Ninemile Point near Webster, NY (station number 0423205342) E &ndash; Lake Ontario at Sodus Point, NY (station number 0423207760) F &ndash; Lake Ontario at Breakwater Light 2 near Fair Haven, NY (station number 04232093) G &ndash; Lake Ontario (Selkirk Shores) near Daysville Corner, NY (station number 04249071) H &ndash; Lake Ontario at Pier at Sackets Harbor, NY (station number 04250772) These datasets demonstrate the estimated extent and depth of lake flooding at specific water levels of 1-foot increments from 247.0 ft to 251.0 ft (International Great Lakes Datum of 1985). In this study, wind and seiche effects were not represented; therefore, the flood inundation maps reflect five stages for Lake Ontario that are static for the entire shoreline area of the lake. This data release is a package of flood inundation data for Lake Ontario including: 1) 8 shapefiles showing 40 estimated flood extents as polygons, 2) 40 raster datasets showing the depth of the water at 5 flood stages, divided into 8 shoreline segments, 3) 8 shapefiles showing the study limit extent of each segment, and 4) a metadata file. The polygon flood extent shapefiles were developed from digital elevation models (DEMs) derived from the lidar to represent the estimated areal extent for five flood stages for the segments along the approximately 300-mile shoreline of Lake Ontario from the Coast Guard Station in Youngstown, N.Y. at the mouth of the Niagara River to Cape Vincent, N.Y. The raster files depict the depth, in feet (referenced to the International Great Lakes Datum of 1985), of the water in the inundated areas along the shoreline of Lake Ontario during the five theoretical flood stages. The depth grids were created by subtracting the digital elevation model (DEM) values (in feet) from each of five raster files representing the flood extent at each constant water level (in feet). An approximately 100-meter buffer was used as the extent into the lake, except for Segment H. Due to the numerous islands and shoreline complexity, the lidar collection extent was used for Segment H.
DOI: 10.5281/zenodo.5667571
title: Gallinago megala SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5667570
title: Gallinago megala SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.16974763
title: Table S9.xlsx

description: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results of lipid metabolic genes.
DOI: 10.6084/m9.figshare.16974763.v1
title: Table S9.xlsx

description: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results of lipid metabolic genes.
DOI: 10.5281/zenodo.5667974
title: Sesamum indicum gff files

description: Sesamum indicum gff files
DOI: 10.5281/zenodo.5667973
title: Sesamum indicum gff files

description: Sesamum indicum gff files
DOI: 10.6084/m9.figshare.16974772
title: Table S10.xlsx

description: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results of carbohydrate metabolic genes.
DOI: 10.6084/m9.figshare.16974772.v1
title: Untitled Item

description: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results of carbohydrate metabolic genes.
DOI: 10.5281/zenodo.5667966
title: Anonymous Replication Package

description: Replication package for "Handling Environmental Uncertainty in Design Time Access Control Analysis".
DOI: 10.5281/zenodo.5651863
title: Anonymous Replication Package

description: Replication package for "Handling Environmental Uncertainty in Design Time Access Control Analysis".
DOI: 10.6084/m9.figshare.16974781.v1
title: Table S11.xlsx

description: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results of protein metabolic genes.
DOI: 10.6084/m9.figshare.16974781
title: Table S11.xlsx

description: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results of protein metabolic genes.
DOI: 10.6084/m9.figshare.16974793.v1
title: Table S12.xlsx

description: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results of material transport genes.
DOI: 10.6084/m9.figshare.16974796
title: Data Repository HIT.xlsx

description: Data heparin induced thrombocytopenia
DOI: 10.6084/m9.figshare.16974796.v1
title: Data Repository HIT.xlsx

description: Data heparin induced thrombocytopenia
DOI: 10.5517/ccdc.csd.cc24hd8b
title: CCDC 1981001: Experimental Crystal Structure Determination

description: Related Article: Emiliano Martínez-Vollbert, Christian Philouze, Isabelle Gautier-Luneau, Yohann Moreau, Pierre-Henri Lanoë, Frédérique Loiseau|2021|Phys.Chem.Chem.Phys.(PCCP)|23|24789|doi:10.1039/D1CP03341G
DOI: 10.5517/ccdc.csd.cc27w7n1
title: CCDC 2081763: Experimental Crystal Structure Determination

description: Related Article: Daniel J. Mindiola, Mehrafshan Jafari, Bimal Pudasaini, Yerin Park, Takashi Kurogi, Patrick Carroll, David Kaphan, Jeremy Kropf, Massimiliano Delferro, Mu-Hyun Baik|2021|Angew.Chem.,Int.Ed.|60|24411|doi:10.1002/anie.202107475
DOI: 10.5517/ccdc.csd.cc27w7p2
title: CCDC 2081764: Experimental Crystal Structure Determination

description: Related Article: Daniel J. Mindiola, Mehrafshan Jafari, Bimal Pudasaini, Yerin Park, Takashi Kurogi, Patrick Carroll, David Kaphan, Jeremy Kropf, Massimiliano Delferro, Mu-Hyun Baik|2021|Angew.Chem.,Int.Ed.|60|24411|doi:10.1002/anie.202107475
DOI: 10.6084/m9.figshare.16974838.v1
title: Dataset and R code for "Plant and soil microbial communities regulate soil respiration in response to precipitation and land use in an Inner Mongolian grassland"

description: Dataset, R code and detailed results for "Plant and soil microbial communities regulate soil respiration in response to precipitation and land use in an Inner Mongolian grassland"