cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25584/lhvebov/1784282
title: PNNL DataHub Project: Omics Lethal Human Viruses Project Profiling of the Host Response to Ebola Virus Infection, Processed Experimental Dataset Catalog

description: Ebola virus (EBOV) is high risk biological agent, classified as a Category A priority pathogen (Flaviviridae) by the National Institute of Allergy and Infectious Diseases (NIAID), known to cause hemorrhagic fever with high mortality rates in humans. Lethal host-pathogen invasion mechanisms and the cellular intricacies behind these fatal infections still remain unclear. The NIAID Modeling Host Responses to Understand Severe Human Virus Infections Research Program project (2013-2018) aimed to develop an improved comprehensive understanding of the host response to a suite of viruses causing lethal infections leveraging a systems biology approach. Herein, PNNL sub-projects provide a never before released comprehensive infectious disease collection of primary and secondary transformation multi-Omics data profiling a series of priority pathogen primary experimental studies for enhanced open-access to viral Omics datasets and project lifecycle metadata. Secondary host-pathogen viral dataset downloads contain one or more statistically processed (normalization data transformation) quantitative dataset collections resulting in qualitative expression analyses of primary host-pathogen experimental study designs. Leveraging unique high-resolution Omics capabilities for proteomics (P), metabolomics (M), lipidomics (L), and transcriptomics (T) dataset downloads each have a direct relationship to a primary sample submission corresponding to a specific Ebola virus [NCBITAXON:186536] (Zaire/Makona or Zaire/Mayinga) experimental infection study. Human host samples types include peripheral blood mononuclear cells isolated from blood plasma ["PBMC", BTO:0001025], human hepatoma carcinoma cells ["HUH", BTO:0001950], human umbilical vein endothelial cells ["HUVEC", BTO:0001949], immortalized human hepatocyte cells ["IHH", BTO:0006147], and human histiocytic lymphoma cells ["U937", BTO:0001412].
DOI: 10.25584/lhveh001/1661904
title: Omics-Lethal Human Viruses, Ebola Experiment EH001

description: The purpose of this experiment was to evaluate the human patient peripheral blood mononuclear cells (PBMC) response to Zaire Ebola Makona virus infection during the 2013-2016 epidemic in West Africa. Samples were obtained from whole blood collections from human patients in 2015 who were naturally infected with Ebola virus during the West African Ebola virus epidemic and healthy individuals (6 month collections) where resulting blood serum was processed for proteome, metabolome, and lipidome expression analysis. Secondary host-associated viral dataset downloads contain one or more statistically processed (normalization data transformation) quantitative dataset collections resulting in qualitative expression analyses of primary host-pathogen experimental study designs. Leveraging unique high-resolution Omics capabilities for proteomics, metabolomics, and lipidomics dataset downloads each have a direct relationship to a primary sample submission corresponding to a specific Ebola virus infection.
DOI: 10.25345/c51j97j2s
title: MassIVE MSV000091193 - Mouse serum proteomics response to West Nile Virus (WNV)
title: Proteomics data from mouse serum. Mice were inoculated with WNV-NY99 382.
DOI: 10.25584/lhvwnv/1784305
title: PNNL DataHub Project: Omics Lethal Human Viruses Project Profiling of the Host Response to West Nile Virus Infection, Processed Experimental Dataset Catalog

description: West Nile virus (WNV) is classified as a Category B priority pathogen (mosquito-borne Flavivirus) by the National Institute of Allergy and Infectious Diseases (NIAID), and are known to cause severe infections in humans where lethal host-associated mechanisms are not clearly defined. The NIAID Modeling Host Responses to Understand Severe Human Virus Infections Research Program project (2013 - 2018) aimed to develop an improved comprehensive understanding of the host response to a suite of viruses causing lethal infections leveraging a systems biology approach. The NIAID Modeling Host Responses to Understand Severe Human Virus Infections Research Program project (2013-2018) aimed to develop an improved comprehensive understanding of the host response to a suite of viruses causing lethal infections leveraging a systems biology approach. Herein, PNNL sub-projects provide a never before released comprehensive infectious disease collection of primary and secondary transformation multi-Omics data profiling a series of priority pathogen primary experimental studies for enhanced open-access to viral Omics datasets and project lifecycle metadata. Secondary host-pathogen viral dataset downloads contain one or more statistically processed (normalization data transformation) quantitative dataset collections resulting in qualitative expression analyses of primary host-pathogen experimental study designs. Leveraging unique high-resolution Omics capabilities for proteomics (P), metabolomics (M), lipidomics (L), and transcriptomics (T) dataset downloads each have a direct relationship to a primary sample submission corresponding a specific West Nile virus [NCBITAXON:11082] (WNV-NY99 382) experimental infection study. Host sample types include cerebellum ["CB", BTO:0000232], cortical neurons ["CN", BTO:0004102], cortex ["CT", BTO:0000233], dendritic cells ["DC", BTO:0002042], granule cell neurons ["GCN", BTO:0003393], lymph node ["LN", BTO:0000784], and serum ["SE", BTO:0001239] from mouse (Mus musculus) tissue collections.
DOI: 10.25345/c5cr5np07
title: MassIVE MSV000091199 - Mouse serum metabolome response to West Nile Virus (WNV)
title: Metabolomics data from mouse serum. Mice were inoculated with WNV-NY99 382.
DOI: 10.25584/lhvwse001/1661962
title: Omics-Lethal Human Viruses, West Nile Experiment WSE001

description: The purpose of this experiment was to evaluate the host response to wild-type West Nile (WNV-NY99 382) virus infection. Sample data was obtained from mouse (C57BL6/JAX) serum from mock-treated "Koolaid" and drug-treated with 3Abx (Ampicillin, Vancomycin, and Neomycin) for proteomics and metabolomics expression analysis. Secondary host-associated viral dataset downloads contain one or more statistically processed (normalization data transformation) quantitative dataset collections resulting in qualitative expression analyses of primary host-pathogen experimental study designs. Leveraging unique high-resolution Omics capabilities for proteomics and metabolomics, each dataset downloads has a direct relationship to a primary sample submission corresponding to a specific West Nile virus infection.
DOI: 10.5281/zenodo.8196162
title: Pre-training with simulated ultrasound images for breast mass segmentation and classification - dataset

description: Dataset assosiated with the MICCAI Workshop on Data Engineering in Medical Imaging paper: "Pre-training with Simulated Ultrasound Images for Breast Mass Segmentation and Classification"
DOI: 10.5281/zenodo.8196163
title: Pre-training with simulated ultrasound images for breast mass segmentation and classification - dataset

description: Dataset assosiated with the MICCAI Workshop on Data Engineering in Medical Imaging paper: "Pre-training with Simulated Ultrasound Images for Breast Mass Segmentation and Classification"
DOI: 10.17909/j66s-pv96
title: NT JWST
DOI: 10.6084/m9.figshare.24257263
title: Table summarizing the literature on clinical presentation of children with NTS bloodstream infection in sub-Saharan Africa.

description: Systematic literature review of studies presenting data on clinical presentation of children with non-typhoidal <i>Salmonella</i> (NTS) bloodstream infection in sub-Saharan Africa. The PubMed search string was:<b> </b><i>Salmonella</i> [TIAB] AND (non-typh*[TIAB] OR nontyph*[TIAB] OR typhimurium[TIAB] OR enteritidis[TIAB]) AND (bacterem*[TIAB] OR bacteraem*[TIAB] OR "blood culture"[TIAB] OR "bloodstream infection"[TIAB] OR sepsis [TIAB] OR invasive [TIAB])). Systematic review of studies presenting treatment efficacy data for NTS bloodstream infection was previously published by Tack et al. in BMC Medicine in 2020.
DOI: 10.15121/2007506
title: Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models

description: This dataset includes the data and a report on the large upscaled discrete fracture network modeling done for the Utah FORGE project in 2023. The FORGE modeling team is making five discrete fracture network (DFN) realizations of a large reservoir model available to researchers. These models have been upscaled to a continuum mesh or grid at resolutions of 10 meters and 20 meters providing reservoir properties for fracture porosity, permeability, and compressibility. The models are available in both the reference global coordinate frame and a local coordinate frame aligned with principal stress directions.
DOI: 10.15473/2007545
title: RM3 Wave Tank Validation Model

description: An approximately 1/75th scale point absorber wave energy absorber was built to validate the testing systems of a 16k gallon single paddle wave tank. The model was build based on the RM3 design and incorporated a linear position sensor, a force transducer, and wetness detection sensors. The data set also includes motion tracking data of the device's two bodies acquired from 4x Qualisys cameras. The tank wave spectrum is measured by 4 ultrasonic water height sensors.
DOI: 10.34740/kaggle/dsv/6618869
title: Laptops Direct Store Product Information
DOI: 10.5281/zenodo.8412306
title: Isotropic Benzene and T6 trajectories from LAMMPS simulation

description: Isotropic Benzene and T6 trajectories from LAMMPS simulation
DOI: 10.5281/zenodo.8412305
title: Isotropic Benzene and T6 trajectories from LAMMPS simulation

description: Isotropic Benzene and T6 trajectories from LAMMPS simulation
DOI: 10.5281/zenodo.8412418
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ottilie Diana Chermock, http://www.wikidata.org/entity/Q112978450. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q112978450
DOI: 10.5281/zenodo.8412417
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ottilie Diana Chermock, http://www.wikidata.org/entity/Q112978450. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q112978450
DOI: 10.5281/zenodo.8412420
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Paul du Chaillu, http://www.wikidata.org/entity/Q749495. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q749495
DOI: 10.5281/zenodo.8412419
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Paul du Chaillu, http://www.wikidata.org/entity/Q749495. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q749495
DOI: 10.5281/zenodo.8412425
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carl W. Kirkwood, http://www.wikidata.org/entity/Q122949483. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q122949483
DOI: 10.5281/zenodo.8412424
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carl W. Kirkwood, http://www.wikidata.org/entity/Q122949483. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q122949483
DOI: 10.26180/24257308.v1
title: Climate change worry, personal experience of extreme rainfall and heatwave, and attribution to climate change

description: This dataset was used in a study tested the relationships between personal experiences of climate change and worry, using both objective exposure and subjective experience data relating to extreme heatwaves and rainfall in Australia. It also considered how attribution of the events to climate change influenced these relationships. We found that the subjective attribution of the extreme events to climate change was the strongest predictor of climate change worry, suggesting that cognitive processes such as motivated reasoning may be a critical factor in the interpretation of these events. While the experience of extreme weather events may not directly drive climate change worry, these extreme events may offer important reinforcing instances for engaging concerned citizens in climate policy debates.
DOI: 10.26180/24257308
title: Climate change worry, personal experience of extreme rainfall and heatwave, and attribution to climate change

description: This dataset was used in a study tested the relationships between personal experiences of climate change and worry, using both objective exposure and subjective experience data relating to extreme heatwaves and rainfall in Australia. It also considered how attribution of the events to climate change influenced these relationships. We found that the subjective attribution of the extreme events to climate change was the strongest predictor of climate change worry, suggesting that cognitive processes such as motivated reasoning may be a critical factor in the interpretation of these events. While the experience of extreme weather events may not directly drive climate change worry, these extreme events may offer important reinforcing instances for engaging concerned citizens in climate policy debates.
DOI: 10.34740/kaggle/dsv/6619093
title: Our World in Data - COVID-19
DOI: 10.5281/zenodo.8412432
title: Kenai Mountains to Sea: Using Thermal Infrared Imagery to Implement Long-Term Salmon Conservation - thermal imagery data set

description: Cook Inletkeeper contracted NV5 Geospatial (formerly, Quantum Spatial Incorporated) to collect thermal infrared (TIR) during the summer of 2020 along four streams on the Kenai Peninsula in southern Alaska: Beaver Creek, Crooked Creek, Funny River, and Moose River under a project name “Kenai Rivers”. All streams were contracted to be flown in the summer of 2020 and during the afternoon hours in order to maximize the thermal contrast between the river’s water and the banks. The survey extends for a total length of 59.1 km miles of the Kenai Rivers. The Data were collected to aid the Cook Inletkeeper team to identify the spatial variability in surface temperatures as well as thermal influence of point sources, tributaries, and surface springs. The data will also be used to identify high-value habitats for the salmonids population within the four streams. Note: These data and related items of information have not been formally disseminated by NOAA and do not represent any agency determination, view, or policy. Funding for this project came, in part, from the Alaska Sustainable Salmon Fund (AKSSF Project #53003).
DOI: 10.5281/zenodo.8412431
title: Kenai Mountains to Sea: Using Thermal Infrared Imagery to Implement Long-Term Salmon Conservation - thermal imagery data set

description: Cook Inletkeeper contracted NV5 Geospatial (formerly, Quantum Spatial Incorporated) to collect thermal infrared (TIR) during the summer of 2020 along four streams on the Kenai Peninsula in southern Alaska: Beaver Creek, Crooked Creek, Funny River, and Moose River under a project name “Kenai Rivers”. All streams were contracted to be flown in the summer of 2020 and during the afternoon hours in order to maximize the thermal contrast between the river’s water and the banks. The survey extends for a total length of 59.1 km miles of the Kenai Rivers. The Data were collected to aid the Cook Inletkeeper team to identify the spatial variability in surface temperatures as well as thermal influence of point sources, tributaries, and surface springs. The data will also be used to identify high-value habitats for the salmonids population within the four streams. Note: These data and related items of information have not been formally disseminated by NOAA and do not represent any agency determination, view, or policy. Funding for this project came, in part, from the Alaska Sustainable Salmon Fund (AKSSF Project #53003).
DOI: 10.6084/m9.figshare.24156084.v2
title: cdmpp-data

description: The dataset released for the paper "A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs", EuroSys'24
DOI: 10.25912/rdf_1669336714405
title: Data extraction table for scoping review on the extent and nature of children’s involvement in qualitative food practice research
DOI: 10.5281/zenodo.8412402
title: Bone Metastasis Diminishes Responsiveness to Checkpoint Blockade Immunotherapy by Fostering Osteopontin-producing Osteoclast

description: The proteomic (Y480A_) and CyTOF (CyTOF_) data of the study.
DOI: 10.5281/zenodo.8412401
title: Bone Metastasis Diminishes Responsiveness to Checkpoint Blockade Immunotherapy by Fostering Osteopontin-producing Osteoclast

description: The proteomic (Y480A_) and CyTOF (CyTOF_) data of the study.
DOI: 10.6084/m9.figshare.24257557
title: Data

description: Signal degradation measures
DOI: 10.25345/c5d50g76s
title: MassIVE MSV000093054 - Proteomics of human peripheral blood mononuclear cells under normal circadian cycle and under a simulated night shift
title: Proteomic data from human peripheral blood mononuclear cells (PBMCs). Samples taken over a 24 hour constant light and diet following 3 days of normal day shift cycle or a night shift - circadian misaligned schedule where sleep and wake cycles were reversed. Time points (in clock time) 1, 7, 14, 21 hours; 6 volunteers for each condition. Samples were digested with trypsin, then analyzed by LC-MS/MS. Data was searched with MS-GF+ using PNNL's DMS processing pipeline.
DOI: 10.3886/e194261
title: The Short-Term Effects of the Shift from Prior-Year to Current-Year Enrollment on School Inputs in Arizona

description: Arizona shifted to using current-year enrollment, instead of prior-year enrollment, as the basis for determining state aid for school districts following the passage of Arizona Education Finance Amendment (AEFA) in 2017. This study examines the short-term effects of AEFA implementation on school inputs, namely expenditures and district personnel, particularly teachers. We find that the average district does not seem to respond to AEFA. However, our heterogeneity analyses reveal that the highest-income districts significantly reduce more inputs than the lowest-income districts in response to AEFA. The differential impact between these two groups is most evident in instructional expenditures, administration expenditures, total full-time equivalent teachers, and particularly teachers with 1-5 years of experience.
DOI: 10.3886/e194261v1
title: The Short-Term Effects of the Shift from Prior-Year to Current-Year Enrollment on School Inputs in Arizona

description: Arizona shifted to using current-year enrollment, instead of prior-year enrollment, as the basis for determining state aid for school districts following the passage of Arizona Education Finance Amendment (AEFA) in 2017. This study examines the short-term effects of AEFA implementation on school inputs, namely expenditures and district personnel, particularly teachers. We find that the average district does not seem to respond to AEFA. However, our heterogeneity analyses reveal that the highest-income districts significantly reduce more inputs than the lowest-income districts in response to AEFA. The differential impact between these two groups is most evident in instructional expenditures, administration expenditures, total full-time equivalent teachers, and particularly teachers with 1-5 years of experience.
DOI: 10.18434/mds2-3051
title: Parameterized model to approximate theoretical collision-induced absorption band shapes for O2-O2 and O2-N2
DOI: 10.17909/w7ea-wx90
title: Data from paper entitled "GOALS-JWST: Gas Dynamics and Excitation in NGC 7469 revealed by NIRSpec"
DOI: 10.18434/mds2-3081
title: "pyproject2conda": A script to convert `pyproject.toml` dependencies to `environemnt.yaml` files.
DOI: 10.26179/4fdr-4k08
title: BHC1 and BHC2 Orientation and Temperature, Law Dome 1982-83
DOI: 10.6084/m9.figshare.21801343.v2
title: DATASET_Cobly Ze_ 2023

description: These data describe different cattle management farming systems in Benin and how they utilize farm resources (protein and Energy) for milk and meat production. Different breeds Ressource Use Efficiency have been described.
DOI: 10.6084/m9.figshare.21801343
title: DATASET_Cobly Ze_ 2023

description: These data describe different cattle management farming systems in Benin and how they utilize farm resources (protein and Energy) for milk and meat production. Different breeds Ressource Use Efficiency have been described.
DOI: 10.18434/mds2-3002
title: Predicting ABM Results with Covering Arrays and Random Forests
DOI: 10.21227/wmga-gc03
title: Supporting data and source files for TDEI-3322385

description: In order to study the role and mechanism of the Cu surface during the generation of SF6 decomposition products inside GIS, we established the interfacial reaction model of low-fluorine sulfides with oxygen on the Cu(111) surface. The influence of the Cu metal on the reaction is analyzed from the perspective of reaction kinetics. Thermodynamic properties and structural files of the reactions can be found in Supplementary Materials. We have supplemented the thermodynamic properties of reactions, and also how we calculated them in Supporting information file. Besides, we have also provided the input files of the species and gas-lattice interfaces as source files. These source data can validate our results, including figures and tables in the paper, Interfacial Catalytic Mechanism of the Oxidation Reactions of SF6 Primary Decomposition Products by Cu Surface.  And it also enables the reproducibility of the work.
DOI: 10.6084/m9.figshare.23898549.v2
title: <sup>227</sup>Ac_dataset_ES_ECSYS.xlsx

description: The activities of <sup>227</sup>Ac measured by onboard filtration method using discrete 60 L samples in the East Sea (sheet 1), the activities of <sup>227</sup>Ac measured from the Mn-fiber mooring method in the East Sea (sheet 2), and the activities of <sup>227</sup>Ac and <sup>228</sup>Ra in the East China Sea and Yellow Sea shelf water (sheet 3).