cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34943/10f52d48-c91b-42a7-8fd0-e4b56385eae8
title: Barkley Canyon Video Camera Deployed 2022-05-20

description: The Axis P1378 Camera SN B8A44F04DEEA was deployed on 2022-05-20 at Barkley Canyon. Barkley Canyon is a submarine canyon located on the continental shelf and slope break. Features include exposed gas hydrates and their associated ecosystems. Accumulation and movement of sediment, upwelling, and plankton blooms are studied in this area. This device is a Video Camera. Video cameras record video of characteristics of the surrounding environments and can be deployed on fixed and mobile platforms. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/1812f6fe-736a-4e0c-933b-badb96afe349
title: Barkley Canyon Video Camera Deployed 2022-05-20

description: The Axis P1378 Camera SN B8A44F04DEEA was deployed on 2022-05-20 at Barkley Canyon. Barkley Canyon is a submarine canyon located on the continental shelf and slope break. Features include exposed gas hydrates and their associated ecosystems. Accumulation and movement of sediment, upwelling, and plankton blooms are studied in this area. This device is a Video Camera. Video cameras record video of characteristics of the surrounding environments and can be deployed on fixed and mobile platforms. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/c19da29d-735b-42e2-b932-865a9dd857f8
title: Mothra Video Camera Deployed 2020-09-10

description: The DragonFish Camera SUBC13113 was deployed on 2020-09-10 at Mothra. Mothra is a vent field located at Endeavour Ridge, where hydrothermal vent systems are observed. This device is a Video Camera. Video cameras record video of characteristics of the surrounding environments and can be deployed on fixed and mobile platforms. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/fbf97d81-bc43-407c-bd55-f661076a6a1a
title: Mothra Video Camera Deployed 2020-09-10

description: The DragonFish Camera SUBC13113 was deployed on 2020-09-10 at Mothra. Mothra is a vent field located at Endeavour Ridge, where hydrothermal vent systems are observed. This device is a Video Camera. Video cameras record video of characteristics of the surrounding environments and can be deployed on fixed and mobile platforms. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5519/qd.wfko205v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (39 records)
DOI: 10.5066/f7ms3s17
title: Datasets for Trends in Water Quality of Selected Streams and Reservoirs used for Water Supply in the Triangle Area of North Carolina, 1989-2013

description: This U.S. Geological Survey Data Release contains the associated data described in the Scientific Investigations Report, "Trends in water quality of selected streams and reservoirs used for water supply in the Triangle area of North Carolina, 1989-2013". Since 1989, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in the water-supply reservoirs and streams in the Triangle area of North Carolina located within the upper Cape Fear and Neuse River Basins. Temporal trends in water-quality were analyzed for thirteen stream and eight reservoir sites. Seventeen water-quality parameters and constituents were examined at these sites.
DOI: 10.7303/syn52288591
title: Haque et al 2023 - A mass spectrometry-based protein panel in cerebrospinal fluid for diagnostic and predictive assessment of Alzheimer's disease
DOI: 10.5517/ccdc.csd.cc2fp5nz
title: CCDC 2254681: Experimental Crystal Structure Determination

description: Related Article: Muniganti Naveen Kumar, Vavilapalli Suresh, Attunuri Nagireddy, Jagadeesh Babu Nanubolu, Maddi Sridhar Reddy|2023|Chem.Commun.|59|9714|doi:10.1039/D3CC02523C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2frv02
title: CCDC 2257234: Experimental Crystal Structure Determination

description: Related Article: Muniganti Naveen Kumar, Vavilapalli Suresh, Attunuri Nagireddy, Jagadeesh Babu Nanubolu, Maddi Sridhar Reddy|2023|Chem.Commun.|59|9714|doi:10.1039/D3CC02523C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7800026
title: Data and Supplementary Material for "Insights into Lightning K-Leader Initiation and Development from Three Dimensional Broadband Interferometric Observations" by Jensen et al.

description: Data and Supplementary Material for the manuscript “Insights into Lightning K-Leader Initiation and Development from Three Dimensional Broadband Interferometric Observations” by Jensen et al., submitted to Journal of Geophysical Research: Atmospheres. Further description in included PDF
DOI: 10.5281/zenodo.7800025
title: Data and Supplementary Material for "Insights into Lightning K-Leader Initiation and Development from Three Dimensional Broadband Interferometric Observations" by Jensen et al.

description: Data and Supplementary Material for the manuscript “Insights into Lightning K-Leader Initiation and Development from Three Dimensional Broadband Interferometric Observations” by Jensen et al., submitted to Journal of Geophysical Research: Atmospheres. Further description in included PDF (01file_description.pdf)
DOI: 10.6084/m9.figshare.3761562.v2678
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.17632/68rs3d99zc.1
title: Constant current experiments, electric vehicle real-driving profiles, and Galvanostatic Intermittent Titration Technique (GITT) experiments for a LiFePO4/graphite battery cell

description: This dataset contains constant current experiments, electric vehicle real-driving profiles, and Galvanostatic Intermittent Titration Technique (GITT) experiments for a 49Ah LiFePO4/graphite opposed tab pouch cell tested at 25°C. Constant current experiments are performed at C/6 and C/12 and can be used to identify unknown model parameters. Electric vehicle real driving profiles can be used to train, validate, and test physics-based, machine learning, and hybrid models. GITT experiments (at  C/6, C/3, C/2, and 1C) can be used to calculate the battery cell high-frequency resistance as a function of both state of charge and C-rate. 

Further information on the dataset can be found in the "README.rtf" file. Properties of the pouch cell are summarized in "cell_properties.png".
DOI: 10.17632/68rs3d99zc.2
title: Constant current experiments, electric vehicle real-driving profiles, and Galvanostatic Intermittent Titration Technique (GITT) experiments for a LiFePO4/graphite battery cell

description: This dataset contains constant current experiments, electric vehicle real-driving profiles, and Galvanostatic Intermittent Titration Technique (GITT) experiments for a 49Ah LiFePO4/graphite opposed tab pouch cell tested at 25°C. Constant current experiments are performed at C/6 and C/12 and can be used to identify unknown model parameters. Electric vehicle real driving profiles can be used to train, validate, and test physics-based, machine learning, and hybrid models. GITT experiments (at  C/6, C/3, C/2, and 1C) can be used to calculate the battery cell high-frequency resistance as a function of both state of charge and C-rate. 

Further information on the dataset can be found in the "README.rtf" file. Properties of the pouch cell are summarized in "cell_properties.png".
DOI: 10.17632/7vdkzpnjgj.1
title: Real-world electric vehicle data: driving and charging

description: The dataset collects real-world electric vehicle data over a period of 1 year. The dataset is divided into two folders: “Drive” and “Charge”. In “Drive”, data acquired during vehicle driving are collected: current is positive and negative for acceleration/cruising and braking, respectively. In “Charge”, charging data are collected. The dataset is provided in the form of .mat files containing the following signals:
- TimeCurr [s]: Timestamp of Current @ Pack Level
- Curr [A]: Current @ Pack Level
- TimeVolt [s]: Timestamp of Voltage @ Pack Level
- Volt [V]: Voltage @Pack Level
- TimeSoC [s]: Timestamp of SoC @ Pack Level
- SoC [%]: SoC @Pack Level
- TimeTemp [s]: Timestamp of Temperature @ Pack Level
- Temp [°C]: Temperature @Pack Level
- TimeEpoch [s]: Timestamp of Epoch Time
- Epoch [s]: Epoch Time

Further information can be found in the README file.
DOI: 10.5517/ccdc.csd.cc2d9zl9
title: CCDC 2214131: Experimental Crystal Structure Determination

description: Related Article: Cunfa SUN|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/298yzrnw35.1
title: A general Matlab and COMSOL co-simulation framework for model parameter optimization: lithium-ion battery and gasoline particulate filter case studies

description: An identification framework exploiting the co-simulation between Matlab and COMSOL Multiphysics is developed. This framework can be used to identify parameters of COMSOL models and, in this repository, we share two case-study: a battery model and a gasoline particulate filter model.
DOI: 10.17632/298yzrnw35.2
title: A general Matlab and COMSOL co-simulation framework for model parameter optimization: lithium-ion battery and gasoline particulate filter case studies

description: An identification framework exploiting the co-simulation between Matlab and COMSOL Multiphysics is developed. This framework can be used to identify parameters of COMSOL models and, in this repository, we share two case-study: a battery model and a gasoline particulate filter model.
DOI: 10.17604/j1dh-tx15
title: Datos Públicos del Mapeo Participativo Las Flores 2018-2019

description: Este conjunto de datos incluye todos los datos designados como públicos que son parte del proyecto Mapro Participativo Las Flores 2018-2019. Los datos de este proyecto son manejados por una mesa de gobernanza de datos. La mesa determinó que datos son publicos y los que son restringidos. Para estas decisiones, la tema de la privacidad es sumamente importante y la junta decidó conciente de est tema. Solamente datos muy basicos de la encuesta son publicos. Si un encuestado no firmó la consentimiento infomado del proyecto, los datos para la vivienda corespondiente no parece en los datos publicos. Se puede bajar los datos públicos en varios formatos desde este publicación. Los datos incluyen información sobre: Tipo de Reja, Material del Techo, Material de los Paredes, Servicio Aqueducto, Servicio Gas, Servicio Energia, Servicio Basura, Servicio Telefonia, Servicio Internet, Servicio Internet Movil, Servicio Alcantarillado, Los Ventanas Cierran, Tiene Terraza, Terraza Tiene Sombra, Terraza Tiene Techo, Casa Tiene Huerta, Problemas con Inundaciones, Tipo de Vivienda, Año Construido, Numero de Ventanas. Ves el 20201002_LasFlores_SIGP_DICTIONARIO.csv.csv para mas información.
DOI: 10.25574/47501
title: Chandra X-ray Observatory ObsId 47501
DOI: 10.25574/47502
title: Chandra X-ray Observatory ObsId 47502
DOI: 10.25574/47509
title: Chandra X-ray Observatory ObsId 47509
DOI: 10.25574/47512
title: Chandra X-ray Observatory ObsId 47512
DOI: 10.25574/47518
title: Chandra X-ray Observatory ObsId 47518
DOI: 10.25574/47521
title: Chandra X-ray Observatory ObsId 47521
DOI: 10.25574/47525
title: Chandra X-ray Observatory ObsId 47525
DOI: 10.25574/47528
title: Chandra X-ray Observatory ObsId 47528
DOI: 10.25574/47535
title: Chandra X-ray Observatory ObsId 47535
DOI: 10.25574/47539
title: Chandra X-ray Observatory ObsId 47539
DOI: 10.25574/47545
title: Chandra X-ray Observatory ObsId 47545
DOI: 10.25574/47546
title: Chandra X-ray Observatory ObsId 47546
DOI: 10.25574/47552
title: Chandra X-ray Observatory ObsId 47552
DOI: 10.25574/47553
title: Chandra X-ray Observatory ObsId 47553
DOI: 10.25574/47555
title: Chandra X-ray Observatory ObsId 47555
DOI: 10.25574/47557
title: Chandra X-ray Observatory ObsId 47557
DOI: 10.25574/47561
title: Chandra X-ray Observatory ObsId 47561
DOI: 10.25574/47562
title: Chandra X-ray Observatory ObsId 47562
DOI: 10.25574/47565
title: Chandra X-ray Observatory ObsId 47565
DOI: 10.25574/47570
title: Chandra X-ray Observatory ObsId 47570
DOI: 10.25574/47573
title: Chandra X-ray Observatory ObsId 47573
DOI: 10.25574/47577
title: Chandra X-ray Observatory ObsId 47577
DOI: 10.25574/47582
title: Chandra X-ray Observatory ObsId 47582
DOI: 10.25574/47585
title: Chandra X-ray Observatory ObsId 47585
DOI: 10.25574/47590
title: Chandra X-ray Observatory ObsId 47590
DOI: 10.25574/47591
title: Chandra X-ray Observatory ObsId 47591
DOI: 10.25574/47599
title: Chandra X-ray Observatory ObsId 47599
DOI: 10.25574/47602
title: Chandra X-ray Observatory ObsId 47602
DOI: 10.25574/47607
title: Chandra X-ray Observatory ObsId 47607
DOI: 10.25574/47609
title: Chandra X-ray Observatory ObsId 47609
DOI: 10.25574/47614
title: Chandra X-ray Observatory ObsId 47614
DOI: 10.25574/47618
title: Chandra X-ray Observatory ObsId 47618
DOI: 10.25574/47624
title: Chandra X-ray Observatory ObsId 47624
DOI: 10.25574/47628
title: Chandra X-ray Observatory ObsId 47628
DOI: 10.25574/47634
title: Chandra X-ray Observatory ObsId 47634
DOI: 10.25574/47635
title: Chandra X-ray Observatory ObsId 47635
DOI: 10.25574/47641
title: Chandra X-ray Observatory ObsId 47641
DOI: 10.25574/47642
title: Chandra X-ray Observatory ObsId 47642
DOI: 10.25574/47648
title: Chandra X-ray Observatory ObsId 47648
DOI: 10.25574/47650
title: Chandra X-ray Observatory ObsId 47650
DOI: 10.25574/47658
title: Chandra X-ray Observatory ObsId 47658
DOI: 10.25574/47663
title: Chandra X-ray Observatory ObsId 47663
DOI: 10.25574/47673
title: Chandra X-ray Observatory ObsId 47673
DOI: 10.25574/47675
title: Chandra X-ray Observatory ObsId 47675
DOI: 10.25574/47718
title: Chandra X-ray Observatory ObsId 47718
DOI: 10.25574/47730
title: Chandra X-ray Observatory ObsId 47730
DOI: 10.21227/krde-h753
title: FLAME 2: Fire detection and modeLing: Aerial Multi-spectral imagE dataset

description: Drone based wildfire detection and modeling methods enable high-precision, real-time fire monitoring that is not provided by traditional remote fire monitoring systems, such as satellite imaging. Precise, real-time information enables rapid, effective wildfire intervention and management strategies. Drone systems’ ease of deployment, omnidirectional maneuverability, and robust sensing capabilities make them effective tools for early wildfire detection and evaluation, particularly so in environments that are inconvenient for humans and/or terrestrial vehicles. Development of emerging drone-based fire monitoring systems has been inhibited by a lack of well-annotated, high quality aerial wildfire datasets, largely as a result of UAV flight regulations for prescribed burns and wildfires. The included dataset provides a collection of side-by-side infrared and visible spectrum video pairs taken by drones during an open canopy prescribed fire in Northern Arizona in 2021. The frames have been classified by two independent classifiers with two binary classifications. The Fire label is applied when the classifiers visually observe indications of fire in either RGB or IR frame for each frame pair. The Smoke label is applied when the classifiers visually estimate that at least 50% of the RGB frame is filled with smoke. To provide additional context to the main dataset’s aerial imagery, the provided supplementary dataset includes weather information, the prescribed burn plan, a geo-referenced RGB point cloud of the preburn area, an RGB orthomosaic of the preburn area, and links to further information.
DOI: 10.34740/kaggle/dsv/4137139
title: BBC News
DOI: 10.5281/zenodo.7033379
title: Mapped glacier region in BH during LIA

description: Mapped glacier region in BH during LIA
DOI: 10.5281/zenodo.7033378
title: Mapped glacier region in BH during LIA

description: Mapped glacier region in BH during LIA
DOI: 10.6084/m9.figshare.20723221
title: CH4 and CO2 emissions in rice cultivation regions_data set S1

description: A typical rice cultivation region with four types of water (i.e., river, fish pond, reservoir, and artificial ditch) in the Chengdu Plain was selected, and one-year monitoring of CH4 and CO2 emissions in this region was conducted. This data set include meteorological data, water column nutrient concentration data and C emission flux.
DOI: 10.6084/m9.figshare.20723221.v1
title: CH4 and CO2 emissions in rice cultivation regions_data set S1

description: A typical rice cultivation region with four types of water (i.e., river, fish pond, reservoir, and artificial ditch) in the Chengdu Plain was selected, and one-year monitoring of CH4 and CO2 emissions in this region was conducted. This data set include meteorological data, water column nutrient concentration data and C emission flux.
DOI: 10.5281/zenodo.6975842
title: Artifact for ESEC/FSE Paper: "23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software"

description: Artifact for ESEC/FSE paper entitled "23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software"
DOI: 10.5281/zenodo.6975843
title: Artifact for ESEC/FSE Paper: "23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software"

description: Artifact for ESEC/FSE paper entitled "23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software"
DOI: 10.5281/zenodo.7033365
title: Artifact for ESEC/FSE Paper: "23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software"

description: Artifact for ESEC/FSE paper entitled "23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software"
DOI: 10.18141/1883354
title: Characterization of Core from Sanford Underground Research Facility

description: Computed tomography and special core analysis data associated with the technical report series document Computed Tomography Scanning and Geophysical Measurements of the Enhanced Geothermal Systems (EGS) Collab SURF Core. Paronish, T.; Mackey, P.; Schmitt, R.; Crandall, D.; Moore, J.; Brown, S.; Roggenthen, W.; Schwering, P. C.; Dobson, P. F.; Kneafsey, T. Computed Tomography Scanning and Geophysical Measurements of the Enhanced Geothermal Systems (EGS) Collab SURF Core; DOE.NETL-2021.2866; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2022; p 76.
DOI: 10.18141/1884279
title: Smith #1 Well - Rogersville Shale Characterization

description: Data described of the Rogersville Shale from the Technical Report Mackey, P., Paronish, T., Brown, S., Moore, J., Crandall, D., Dinterman, P., Moore, J.; Computed Tomography Scanning and Geophysical Measurements of the Rogersville Shale from the Smith #1 Well NETL-TRS-X-2018; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2018; p 46.
DOI: 10.25584/pnnldh/1884282
title: PNNL Superfund Research Program Analytics (srpAnalytics Data Release v.1.0)

description: The OSU/PNNL superfund Research Program represents a longstanding collaboration to quantify Polycyclic Aromatic Hydrocarbons at various superfund sites in the Pacific Northwest and assess their potential impact on human health. To link the chemical measurements to biological activity, we describe the use of the zebrafish as a high-throughput developmental model of human exposure that provides quantitative measurements of the biological ramifications of exposure to toxicants. The PNNL Superfund have implemented a dose-response modelling pipeline to calculate benchmark dose parameters that enable the comparison of potency across chemicals and phenotypes. Our portal provides public access to this dataset and an interactive web site designed to enable exploration and re-use of this data by the scientific community at http://srp.pnnl.gov.
DOI: 10.5281/zenodo.6850553
title: Supplementary Material: Fire trapped in ice - An introduction to biomass burning records from high-alpine and polar ice cores

description: Compilation of fire records in ice cores: supplementary material to “Fire trapped in ice - An introduction to biomass burning records from high-alpine and polar ice cores.” This document includes a table of selected paleofire records from ice cores by region with indication of measured proxies and time span.
DOI: 10.5281/zenodo.6850552
title: Supplementary Material: Fire trapped in ice - An introduction to biomass burning records from high-alpine and polar ice cores

description: Compilation of fire records in ice cores: supplementary material to “Fire trapped in ice - An introduction to biomass burning records from high-alpine and polar ice cores.” This document includes a table of selected paleofire records from ice cores by region with indication of measured proxies and time span.
DOI: 10.18141/1884304
title: Core Characterization of the Whipkey ST1 Well - Marcellus Shale

description: CT and geophysical data of the Marcellus from the Whipkey ST 1 well in Greene Co PA API No: 37-059-24715 latitude 39.9000020N, longitude -80.0199970W Please see the following technical report for further details. Crandall, D.; Moore, J.; Brown, S.; Mackey, P.; Carr, T. Computed Tomography Scanning and Geophysical Measurements of the Marcellus Formation from the Whipkey ST 1 Well NETL-TRS-X-2018; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2018; p 54.
DOI: 10.6084/m9.figshare.20264505.v1
title: Time-series molecular ion and radical emission spectra.zip

description: This contains the time-series measurements of the molecular ionic nitrogen and hydroxyl radical in microwave-enhanced laser-induced air plasma