cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3816770
title: Collected data on early estimates of global fossil CO2 emissions

description: This dataset collects together a number of early estimates made of global emissions of fossil CO2, starting with Arvid Högbom in 1894. Microsoft Excel files for original data sources where these are time series, including images of the tables from the original sources, in addition to one CSV file of CO2 emissions from all sources. Sources that only reported emissions for a short period are not included in the Excel collection, but are included in the CSV file. In addition the original United Nations energy data used by several sources is included as UN1956.xlsx.
DOI: 10.13139/ornlnccs/1617461
title: Prompt Time Decay for HEU Metal Assemblies

description: Data sets contain Rossi-alpha and pulsed neutron prompt neutron time decay measurements performed at the Oak Ridge Critical Experiments Facility (ORCEF) between 1960 and 1975. See also ORNL/TM-2019/1155 from April 2019 by John T. Mihalczo, included with these data sets.
DOI: 10.18112/openneuro.ds002784.v1.0.0
title: dataset1
DOI: 10.21227/2jft-eh33
title: Authentically Distorted Surveillance Videos Dataset

description: This Dataset contains "Pristine" and "Distorted" videos recorded in different places. The distortions with which the videos were recorded are: "Focus", "Exposure" and "Focus + Exposure". Those three with low (1), medium (2) and high (3) levels, forming a total of 10 conditions (including Pristine videos). In addition, distorted videos were exported in three different qualities according to the H.264 compression format used in the DIGIFORT software, which were: High Quality (HQ, H.264 at 100%), Medium Quality (MQ, H.264 at 75%) and Low Quality (LQ, H.264 at 50%).The recording of the videos was carried out in a semicontrolled space, with the appropriate environment conditions that facilitate the generation of authentically distorted videos. The "DIGIFORT" monitoring software is used to manage and record the videos. For the labeling of each video we use the "DarkLabel" labeling software. For the videos editing and processing the "MATLAB" computational tool is used. The dataset contains 160 "Pristine" videos, 1450 "Exposure" videos, 1409 "Focus" videos and 1450 "Focus + Exposure" videos for a total of 4476 videos. The recorded activities are: "Walking" (WL), "Leaving Package in a Public Place" (LPP), "Passing Out" (PO), "Person Pushing Person" (PPP), "Person Running" (PR), "Fighting in Group" (FG), "Robbery with Knife" (RK) and "Prowl" (PW). This Dataset is intended to evaluate "Visual Quality Assessment" (VQA) and "Visual Object Tracking" (VOT) algorithms. ------------------------------------------------------------------------------------------------------------------------------
DOI: 10.21227/j3w0-2m54
title: Authentically Distorted Surveillance Videos Dataset

description: This Dataset contains "Pristine" and "Distorted" videos recorded in different places. The distortions with which the videos were recorded are: "Focus", "Exposure" and "Focus + Exposure". Those three with low (1), medium (2) and high (3) levels, forming a total of 10 conditions (including Pristine videos). In addition, distorted videos were exported in three different qualities according to the H.264 compression format used in the DIGIFORT software, which were: High Quality (HQ, H.264 at 100%), Medium Quality (MQ, H.264 at 75%) and Low Quality (LQ, H.264 at 50%).The recording of the videos was carried out in a semicontrolled space, with the appropriate environment conditions that facilitate the generation of authentically distorted videos. The "DIGIFORT" monitoring software is used to manage and record the videos. For the labeling of each video we use the "DarkLabel" labeling software. For the videos editing and processing the "MATLAB" computational tool is used. The dataset contains 160 "Pristine" videos, 1450 "Exposure" videos, 1409 "Focus" videos and 1450 "Focus + Exposure" videos for a total of 4476 videos. The recorded activities are: "Walking" (WL), "Leaving Package in a Public Place" (LPP), "Passing Out" (PO), "Person Pushing Person" (PPP), "Person Running" (PR), "Fighting in Group" (FG), "Robbery with Knife" (RK) and "Prowl" (PW). This Dataset is intended to evaluate "Visual Quality Assessment" (VQA) and "Visual Object Tracking" (VOT) algorithms. ------------------------------------------------------------------------------------------------------------------------------
DOI: 10.5439/1617447
title: ARM: WSACRCFRSPCVPTCROSS

description: wsacr
DOI: 10.5439/1617449
title: ARM: WSACRCFRSPCVPTXPOL

description: wsacr
DOI: 10.5281/zenodo.3814479
title: Fish monitoring Cayo Arcas database

description: Fish data collected on April 26th to May 4th, 2019 in Cayo Arcas reef, southern Gulf of Mexico, Mexico English<br> Ichthyofauna monitoring data collected on April 26th to May 4th, 2019 in Cayo Arcas reef, southern Gulf of Mexico. Were sampled 15 sites with depths between 2.0-10.5 m. At each site, the monitoring was made with two transects of 25 x 4 m. An area of 3,400 m2 was covered. A total of 4,558 fish were registered, corresponding to 26 families and 75 species (this count includes the species of invasive damsel Neopomacentrus cyanomos).<br> This is part of BDMY (Biodiversidad Marina de Yucatan) lab research.<br> Please, cite this data set as: "Rivera-Higueras M and Simões N (2020). Fish monitoring Cayo Arcas 2019 database.”<br> Acknowledgments:<br> Universidad Nacional Autónoma de México (UNAM).<br> Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM.<br> Harte Charitable Foundation.<br> Harte Research Institute for Gulf of Mexico Studies.<br> Oceanographic Research Station Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina.<br> BI-04 Antares, Secretaría de Marina.<br> Antares Captain BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina.<br> Oceanographic Campaign Leader: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina. Español<br> Datos de monitoreo de ictiofauna recolectados del 26 de abril al 4 de mayo en el arrecife Cayo Arcas, sur del Golfo de México. Se muestrearon 15 sitios con profundidades entre 2.0-10.5 m. Se realizaron dos transectos de 25 x 4 m en cada sitio. Se registró un área total de 3,400 m2. Se registraron un total de 4,558 peces, que corresponden a 26 familias y 75 especies (dicha cuenta incluye a la especie de damisela invasora Neopomacentrus cyanomos).<br> Esta información es parte del laboratorio de investigación BDMY (Biodiversidad Marina de Yucatán).<br> Por favor, cite la información de esta base de datos como: “Rivera-Higueras M and Simões N (2020). Fish monitoring Cayo Arcas 2019 database.”<br> Agradecimientos:<br> Universidad Nacional Autónoma de México (UNAM).<br> Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM.<br> Harte Charitable Foundation.<br> Harte Research Institute for Gulf of Mexico Studies.<br> Estación de Investigación Oceanográfica Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina.<br> BI-04 Antares, Secretaría de Marina.<br> Capitán Antares BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina.<br> Jefe de Campaña Oceanográfica: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina.
DOI: 10.5281/zenodo.3814480
title: Fish monitoring Cayo Arcas database

description: Fish data collected on April 26th to May 4th, 2019 in Cayo Arcas reef, southern Gulf of Mexico, Mexico English<br> Ichthyofauna monitoring data collected on April 26th to May 4th, 2019 in Cayo Arcas reef, southern Gulf of Mexico. Were sampled 15 sites with depths between 2.0-10.5 m. At each site, the monitoring was made with two transects of 25 x 4 m. An area of 3,400 m2 was covered. A total of 4,558 fish were registered, corresponding to 26 families and 75 species (this count includes the species of invasive damsel Neopomacentrus cyanomos).<br> This is part of BDMY (Biodiversidad Marina de Yucatan) lab research.<br> Please, cite this data set as: "Rivera-Higueras M and Simões N (2020). Fish monitoring Cayo Arcas 2019 database.”<br> Acknowledgments:<br> Universidad Nacional Autónoma de México (UNAM).<br> Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM.<br> Harte Charitable Foundation.<br> Harte Research Institute for Gulf of Mexico Studies.<br> Oceanographic Research Station Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina.<br> BI-04 Antares, Secretaría de Marina.<br> Antares Captain BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina.<br> Oceanographic Campaign Leader: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina. Español<br> Datos de monitoreo de ictiofauna recolectados del 26 de abril al 4 de mayo en el arrecife Cayo Arcas, sur del Golfo de México. Se muestrearon 15 sitios con profundidades entre 2.0-10.5 m. Se realizaron dos transectos de 25 x 4 m en cada sitio. Se registró un área total de 3,400 m2. Se registraron un total de 4,558 peces, que corresponden a 26 familias y 75 especies (dicha cuenta incluye a la especie de damisela invasora Neopomacentrus cyanomos).<br> Esta información es parte del laboratorio de investigación BDMY (Biodiversidad Marina de Yucatán).<br> Por favor, cite la información de esta base de datos como: “Rivera-Higueras M and Simões N (2020). Fish monitoring Cayo Arcas 2019 database.”<br> Agradecimientos:<br> Universidad Nacional Autónoma de México (UNAM).<br> Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM.<br> Harte Charitable Foundation.<br> Harte Research Institute for Gulf of Mexico Studies.<br> Estación de Investigación Oceanográfica Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina.<br> BI-04 Antares, Secretaría de Marina.<br> Capitán Antares BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina.<br> Jefe de Campaña Oceanográfica: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina.
DOI: 10.5281/zenodo.3814502
title: [dataset] Performance Analysis of Microservice Applications via Automated Load Testing and Bayesian Inference

description: Anonymized replication package of the experiments presented in the research paper: "Performance Analysis of Microservice Applications via Automated Load Testing and Bayesian Inference". See the README.md file.
DOI: 10.5281/zenodo.3814503
title: [dataset] Performance Analysis of Microservice Applications via Automated Load Testing and Bayesian Inference

description: Anonymized replication package of the experiments presented in the research paper: "Performance Analysis of Microservice Applications via Automated Load Testing and Bayesian Inference". See the README.md file.
DOI: 10.17638/datacat.liverpool.ac.uk/1082
title: Conductance data for Co(pyterpy) (electrochemical) and Fe(pyterpy) (electrochemical) and also nano-ring data recorded using the STM.

description: The dataset can be viewed in Origin, see readme file.
DOI: 10.18716/nmrshiftdb2/76530
title: NMR data for 1-ethyl-1-sulfanylidene-1$l^{5}-phosphinane-4,4-diol
DOI: 10.5281/zenodo.3813802
title: Linked COVID-19 Data: Johns Hopkins University (JHU) and European Centre for Disease Prevention and Control (ECDC)

description: Linked COVID-19 Data derived from <strong>Johns Hopkins University</strong> and <strong>European Centre for Disease Prevention and Control</strong> using the COVID-19 Ontology 10.5281/zenodo.3757828 developed for the Linked COVID-19 Data Dashboard: http://covid19data.link This files include data for covid19_jhu.ttl - COVID-19 data collected by the JHU covid19_ecdc.ttl - COVID-19 data collected by the ECDC This RDF files are based on https://pomber.github.io/covid19/timeseries.json https://opendata.ecdc.europa.eu/covid19/casedistribution/json/
DOI: 10.14469/hpc/7173
title: Kinetic isotope effects

description: Deuterium kinetic isotope effects.
DOI: 10.18716/nmrshiftdb2/76528
title: NMR data for 1-ethyl-1-oxo-1$l^{5}-phosphinane-4,4-diol
DOI: 10.18716/nmrshiftdb2/76531
title: NMR data for 1,1-dimethylphosphinan-1-ium-4,4-diol
DOI: 10.21227/vwpy-7456
title: Authentically Distorted Surveillance Videos Dataset

description: This Dataset contains "Pristine" and "Distorted" videos recorded in different places. The distortions with which the videos were recorded are: "Focus", "Exposure" and "Focus + Exposure". Those three with low (1), medium (2) and high (3) levels, forming a total of 10 conditions (including Pristine videos). In addition, distorted videos were exported in three different qualities according to the H.264 compression format used in the DIGIFORT software, which were: High Quality (HQ, H.264 at 100%), Medium Quality (MQ, H.264 at 75%) and Low Quality (LQ, H.264 at 50%).The recording of the videos was carried out in a semicontrolled space, with the appropriate environment conditions that facilitate the generation of authentically distorted videos. The "DIGIFORT" monitoring software is used to manage and record the videos. For the labeling of each video we use the "DarkLabel" labeling software. For the videos editing and processing the "MATLAB" computational tool is used. The dataset contains 160 "Pristine" videos, 1450 "Exposure" videos, 1409 "Focus" videos and 1450 "Focus + Exposure" videos for a total of 4476 videos. The recorded activities are: "Walking" (WL), "Leaving Package in a Public Place" (LPP), "Passing Out" (PO), "Person Pushing Person" (PPP), "Person Running" (PR), "Fighting in Group" (FG), "Robbery with Knife" (RK) and "Prowl" (PW). This Dataset is intended to evaluate "Visual Quality Assessment" (VQA) and "Visual Object Tracking" (VOT) algorithms. ------------------------------------------------------------------------------------------------------------------------------
DOI: 10.5519/qd.3jdp67ax
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1599768 records)
DOI: 10.21227/ya2c-5y20
title: Authentically Distorted Surveillance Videos Dataset

description: This Dataset contains "Pristine" and "Distorted" videos recorded in different places. The distortions with which the videos were recorded are: "Focus", "Exposure" and "Focus + Exposure". Those three with low (1), medium (2) and high (3) levels, forming a total of 10 conditions (including Pristine videos). In addition, distorted videos were exported in three different qualities according to the H.264 compression format used in the DIGIFORT software, which were: High Quality (HQ, H.264 at 100%), Medium Quality (MQ, H.264 at 75%) and Low Quality (LQ, H.264 at 50%).The recording of the videos was carried out in a semicontrolled space, with the appropriate environment conditions that facilitate the generation of authentically distorted videos. The "DIGIFORT" monitoring software is used to manage and record the videos. For the labeling of each video we use the "DarkLabel" labeling software. For the videos editing and processing the "MATLAB" computational tool is used. The dataset contains 160 "Pristine" videos, 1450 "Exposure" videos, 1409 "Focus" videos and 1450 "Focus + Exposure" videos for a total of 4476 videos. The recorded activities are: "Walking" (WL), "Leaving Package in a Public Place" (LPP), "Passing Out" (PO), "Person Pushing Person" (PPP), "Person Running" (PR), "Fighting in Group" (FG), "Robbery with Knife" (RK) and "Prowl" (PW). This Dataset is intended to evaluate "Visual Quality Assessment" (VQA) and "Visual Object Tracking" (VOT) algorithms. ------------------------------------------------------------------------------------------------------------------------------
DOI: 10.5281/zenodo.3801974
title: Trained vectors and jupyter notebook for exploration

description: Supplemental material to the submitted paper, containing a collection of trained vector as induced by different embedding techniques and a Jupyter Notebook to reproduce some of the results of the qualitative analysis section, as well as the experimental results.
DOI: 10.5281/zenodo.3801975
title: Trained vectors and jupyter notebook for exploration

description: Supplemental material to the submitted paper, containing a collection of trained vector as induced by different embedding techniques and a Jupyter Notebook to reproduce some of the results of the qualitative analysis section, as well as the experimental results.
DOI: 10.5281/zenodo.3814505
title: BDMYRepository/Fish monitoring Cayo Arcas 2019 database 1.0

description: English Ichthyofauna monitoring data collected on April 26<sup>th</sup> to May 4<sup>th</sup>, 2019 in Cayo Arcas reef, southern Gulf of Mexico. Were sampled 15 sites with depths between 2.0-10.5 m. At each site, the monitoring was made with two transects of 25 x 4 m. An area of 3,400 m<sup>2</sup> was covered. A total of 4,558 fish were registered, corresponding to 26 families and 75 species (this count includes the species of invasive damsel <em>Neopomacentrus cyanomos</em>). This is part of BDMY (Biodiversidad Marina de Yucatan) lab research. Acknowledgments: Universidad Nacional Autónoma de México (UNAM). Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM. Harte Charitable Foundation. Harte Research Institute for Gulf of Mexico Studies. Oceanographic Research Station Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina. BI-04 Antares, Secretaría de Marina. Antares Captain BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina. Oceanographic Campaign Leader: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina. Español Datos de monitoreo de ictiofauna recolectados del 26 de abril al 4 de mayo en el arrecife Cayo Arcas, sur del Golfo de México. Se muestrearon 15 sitios con profundidades entre 2.0-10.5 m. Se realizaron dos transectos de 25 x 4 m en cada sitio. Se registró un área total de 3,400 m<sup>2</sup>. Se registraron un total de 4,558 peces, que corresponden a 26 familias y 75 especies (dicha cuenta incluye a la especie de damisela invasora <em>Neopomacentrus cyanomos</em>). Esta información es parte del laboratorio de investigación BDMY (Biodiversidad Marina de Yucatán). Agradecimientos: Universidad Nacional Autónoma de México (UNAM). Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM. Harte Charitable Foundation. Harte Research Institute for Gulf of Mexico Studies. Estación de Investigación Oceanográfica Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina. BI-04 Antares, Secretaría de Marina. Capitán Antares BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina. Jefe de Campaña Oceanográfica: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina.
DOI: 10.5281/zenodo.3814515
title: BDMYRepository/Coral and substratum monitoring Cayo Arcas 2019 database 1.0

description: English Coral and substratum monitoring data collected on April 26th to May 4th, 2019 in Cayo Arcas reef, southern Gulf of Mexico. Were sampled 17 sites with depths between 0.8-12.0 m. At each site, two transects (25 m) were placed. The benthic coverage category below the line every 25 cm was registered. Eighteen categories were used to describe the benthic coverage, which were established according to the categories of the Atlantic and Gulf Rapid Reef Assessment (AGRRA) project. At each sampling site, two-band transects 10 m long by 1 m wide were made to scleractinian coral monitoring. Were sampled a total area of 340 m<sup>2</sup>. All colonies greater than 4 cm in length were recorded. We recorded a total of 25 scleractinian coral species. This is part of BDMY (Biodiversidad Marina de Yucatan) lab research. Acknowledgments: Universidad Nacional Autónoma de México (UNAM). Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM. Harte Charitable Foundation. Harte Research Institute for Gulf of Mexico Studies. Oceanographic Research Station Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina. BI-04 Antares, Secretaría de Marina. Antares Captain BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina. Oceanographic Campaign Leader: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina. Español Datos de monitoreo de corales y sustrato recolectados del 26 de abril al 4 de mayo en el arrecife Cayo Arcas, sur del Golfo de México. Se muestrearon 17 sitios con profundidades entre 0.8-12.0 m. Se muestrearon dos transectos (25 m) por sitio. La categoría de cubierta bentónica bajo la línea fue registrada cada 25 cm. Se utilizaron dieciocho categorías para describir la cubierta bentónica, que fueron establecidos de acuerdo con las categorías del proyecto Atlantic and Gulf Reef Assessment (AGRRA). El monitoreo de corales escleractinios para cada sitio de muestreo se realizó mediante dos transectos de banda de 10 m de largo por 1 m de ancho. Se muestreó un área total de 340m<sup>2</sup>. Se registraron todas las colonias mayores a 4 cm de longitud. Registramos un total de 25 especies de coral escleractinio. Esta información es parte del laboratorio de investigación BDMY (Biodiversidad Marina de Yucatán). Agradecimientos: Universidad Nacional Autónoma de México (UNAM). Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM. Harte Charitable Foundation. Harte Research Institute for Gulf of Mexico Studies. Estación de Investigación Oceanográfica Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina. BI-04 Antares, Secretaría de Marina. Capitán Antares BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina. Jefe de Campaña Oceanográfica: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina.