cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34644/laudatio-repository-qwjfcmob6bp_h9na8nrg_1556705433
title: Ludolf
DOI: 10.25573/data.10059536.v6
title: Monthly summary_Parque Natural Metropolitano Crane

description: Monthly and daily summaries from Parque Natural Metropolitano (PNM) crane station. <br>Location: 8.994410°, - 79.543000°<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer)<br>Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. The crane is 42 meters tall. <br><br>The original station was located on the side of the tower at approximately 25m. Some sensors were later moved to the top of the tower.
DOI: 10.25573/data.10059530.v6
title: Monthly summary_Galeta Station

description: Monthly and daily summary from Galeta Island marine laboratory<br>Location: 9.402742°, -79.860837°<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer)<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10059518.v6
title: Monthly summary_San Lorenzo Crane

description: Monthly and daily summaires from the San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer)<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.25573/data.10059476.v5
title: Monthly summary_Fortuna Station

description: Monthly and daily summary from the Fortuna Station (Centro de Investigaciones Jorge L. Arauz)<br>Location: 8° 43.340'N, 82° 14.241'W<br>Parameters: air temperature, wind speed and direction, precipitation, solar radiation (pyranometer)<br>Located in the highlands of the Chiriqui Province, in western Panama.There are three sensor locations: north clearing, south clearing, and a 15m tower.<br>
DOI: 10.5281/zenodo.3938904
title: Supporting data for "Synthesis and Simulation of Ensembles of Boolean Networks for Cell Fate Decision" by Chevalier et al., 2020

description: Code, data, and notebooks used for the synthesis and simulations of ensembles of Boolean networks for the tumor invasion model introduced in (Cohen et al, 2015) Visualize online: Simulations - Mutant analysis.ipynb Tumour - Synthesis with BoNesis.ipynb The notebooks can be executed within the CoLoMoTo Docker image 2020-07-01: <pre><code>pip install -U colomoto-docker colomoto-docker -V 2020-07-01 --bind . </code></pre> The synthesis additionally requires executing the following command (within the Docker image): <pre><code>pip install --user bonesis-preview-20200514.zip </code></pre> The ensembles have been generated with the following commands. <pre><code>python synthesis.py synthesis --exact-pkn --globalfps python synthesis.py synthesis --exact-pkn --globalfps --mutant p53 --mutant NICD </code></pre>
DOI: 10.5281/zenodo.3938903
title: Supporting data for "Synthesis and Simulation of Ensembles of Boolean Networks for Cell Fate Decision" by Chevalier et al., 2020

description: Code, data, and notebooks used for the synthesis and simulations of ensembles of Boolean networks for the tumor invasion model introduced in (Cohen et al, 2015) Visualize online: Simulations - Mutant analysis.ipynb Tumour - Synthesis with BoNesis.ipynb The notebooks can be executed within the CoLoMoTo Docker image 2020-07-01: <pre><code>pip install -U colomoto-docker colomoto-docker -V 2020-07-01 --bind . </code></pre> The synthesis additionally requires executing the following command (within the Docker image): <pre><code>pip install --user bonesis-preview-20200514.zip </code></pre> The ensembles have been generated with the following commands. <pre><code>python synthesis.py synthesis --exact-pkn --globalfps python synthesis.py synthesis --exact-pkn --globalfps --mutant p53 --mutant NICD </code></pre>
DOI: 10.25573/data.10059470.v6
title: Monthly summary_Culebra Station Tower

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer)
DOI: 10.25573/data.10059467.v6
title: Monthly summary_Agua Salud, Celestino Tower

description: Monthly and daily summaries from the Agua Salud Celestino Tower. <br>Location 9.21142N, 79.72656W<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer, photosynthetically active radiation), soil moisture, net radiation, air pressure, evapotranspiration<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.25573/data.10059464.v6
title: Monthly summary_Bocas Station

description: Monthly and daily summary from the Bocas del Toro Research StationLocation: 9.351553°, -82.256565°<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, dissolved oxygen, turbidity, salinity, pH<br><br>Sensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes meteorological tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.
DOI: 10.25573/data.10059461.v6
title: Monthly summary_AVA Tower

description: Barro Colorado Island, AVA tower.Two Sensors: North and South<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer, photosynthetically active radiation)<br>Established in Mar, 2011 as part of the ForestGEO Tropical Ecology, Assessment and Monitoring (TEAM) project.<br>The original tower was Located near the center of the island at the north west corner of the 50ha plot (9.1568°, -79.8486°).<br>In 2018 this tower was struck by a tree fall and rendered unusable.<br>In Feb. 2019 a new 45m tower was build close by (9.1568°, -79.8486°). <br><br><br>
DOI: 10.5281/zenodo.3938928
title: FatNav

description: FatNav 3D GRE with a 2D GRE as a host sequence. Original data and split into host and navigator with modified header.
DOI: 10.5281/zenodo.3938946
title: An Annotated Dataset of Stack Overflow Post Edits

description: To improve software engineering, software repositories have been mined for code snippets and bug fixes. Typically, this mining takes place at the level of files or commits. To be able to dig deeper and to extract insights at a higher resolution, we hereby present an annotated dataset that contains over 7 million edits of code and text on Stack Overflow. Our preliminary study indicates that these edits might be a treasure trove for mining information about fine-grained patches, e.g., for the optimisation of non-functional properties. EDIT: In the more recent version I fixed GetEditContent.sql, which had an ambiguous column name in one of the select statements.
DOI: 10.5281/zenodo.3754158
title: An Annotated Dataset of Stack Overflow Post Edits

description: To improve software engineering, software repositories have been mined for code snippets and bug fixes. Typically, this mining takes place at the level of files or commits. To be able to dig deeper and to extract insights at a higher resolution, we hereby present an annotated dataset that contains over 7 million edits of code and text on Stack Overflow. Our preliminary study indicates that these edits might be a treasure trove for mining information about fine-grained patches, e.g., for the optimisation of non-functional properties. EDIT: In the more recent version I fixed GetEditContent.sql, which had an ambiguous column name in one of the select statements.
DOI: 10.5445/ir/1000120965
title: Magnetic fatigue : Effect of seismic-related loading on magnetic and structural behavior of magnetite

description: Powders of multidomain magnetite were subjected to fatigue-related cyclic loading at ambient conditions between 30 and 500°C using a dynamical mechanical analysis system. The mechanical losses, tan δ, are sensitive to the loading frequency and correlate with decreasing coherent crystallite size of the magnetite and its lattice distortion. While the selected loading frequencies are similar to those observed during earthquake propagation, the observed signatures of magnetic fatigue are discussed towards understanding the physics of natural and human-induced seismic events.
DOI: 10.5281/zenodo.3922265
title: CFD analysis of natural convection cooling of the in-vessel components during a shutdown of the EU DEMO fusion reactor (dataset)

description: Simulation file for the publication "CFD analysis of natural convection cooling of the in-vessel components during a shutdown of the EU DEMO fusion reactor" submitted to <em>Fusion Engineering and Design</em>. Work carried out within the framework of the EUROfusion Consortium. Needs Simcenter STAR-CCM+ v2019.3 to be viewed.
DOI: 10.5281/zenodo.3922264
title: CFD analysis of natural convection cooling of the in-vessel components during a shutdown of the EU DEMO fusion reactor (dataset)

description: Simulation file for the publication "CFD analysis of natural convection cooling of the in-vessel components during a shutdown of the EU DEMO fusion reactor" submitted to <em>Fusion Engineering and Design</em>. Work carried out within the framework of the EUROfusion Consortium. Needs Simcenter STAR-CCM+ v2019.3 to be viewed.
DOI: 10.5281/zenodo.3938366
title: Data for the publication 'Can Saharan dust impact heavy precipitation? A case study from the Swiss Alps'

description: This tar file contains data used for the paper 'Can Saharan dust impact heavy precipitation? A case study from the Swiss Alps'. The contents of the tar file are briefly explained in the included readme file.
DOI: 10.5281/zenodo.3938965
title: Measurements for "Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations"

description: This dataset contains measurements addressed in the manuscript "Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations". These files and further measurements from different radio occultation missions are available in: https://cdaac-www.cosmic.ucar.edu (registration required)
description: This research was supported by National Space Engineering Program (NRFP round 3, dnr: 241/15), funded by Swedish National Space Agency (Rymdstyrelsen).
DOI: 10.5281/zenodo.3938964
title: Measurements for "Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations"

description: This dataset contains measurements addressed in the manuscript "Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations". These files and further measurements from different radio occultation missions are available in: https://cdaac-www.cosmic.ucar.edu (registration required)
description: This research was supported by National Space Engineering Program (NRFP round 3, dnr: 241/15), funded by Swedish National Space Agency (Rymdstyrelsen).
DOI: 10.5281/zenodo.3938021
title: Standard Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms

description: This is a set of five elevation models of archetypal landforms: a volcanic caldera (Crater Lake, Oregon, USA), active sand dunes (Great Sand Dunes, Colorado, USA), a braided riverbed (Jackson Hole, Wyoming, USA), folded ridges (Massanutten Mountain, Virginia, USA), and stabilized sand dunes (Sandhills, Nebraska, USA). All elevation models were derived from NED LiDAR sources with cell sizes ranging from 2 to 10 meters. The size of the models varies between 3900×3900 and 5300×5300 height samples. The elevation models are available in georeferenced GeoTIFF and Esri ASCII file formats.
DOI: 10.5281/zenodo.3938995
title: Benefit of Modified Atmosphere Packaging on the overall environmental impact of the supply chain of packed strawberries

description: This dataset gives the raw results of Life Cycle Analysis of fresh strawberries packed in Modified Atmosphere Packaging (MAP) or conventionnel packaging (macroperfoated) stored either at ambiant temperature or refrigerated at household. These raw data were used to draw Figures 3, 4, 5 and Figure-S1 in the associated paper "Benefit of Modified Atmosphere Packaging on the overall environmental impact of the supply chain of packed strawberries". The dataset contains also results of the sensitivity analysis povided at: - consumer level - supermarket.
DOI: 10.5281/zenodo.3938994
title: Benefit of Modified Atmosphere Packaging on the overall environmental impact of the supply chain of packed strawberries

description: This dataset gives the raw results of Life Cycle Analysis of fresh strawberries packed in Modified Atmosphere Packaging (MAP) or conventionnel packaging (macroperfoated) stored either at ambiant temperature or refrigerated at household. These raw data were used to draw Figures 3, 4, 5 and Figure-S1 in the associated paper "Benefit of Modified Atmosphere Packaging on the overall environmental impact of the supply chain of packed strawberries". The dataset contains also results of the sensitivity analysis povided at: - consumer level - supermarket.
DOI: 10.5281/zenodo.3938990
title: Dataset From: Heteroaggregation between Charged and Neutral Particles

description: The dataset for the publication "Heteroaggregation between Charged and Neutral Particles". DOI: 10.1021/acs.langmuir.0c00667. Files containing data have .dat extension and are in text format.
DOI: 10.5281/zenodo.3938989
title: Dataset From: Heteroaggregation between Charged and Neutral Particles

description: The dataset for the publication "Heteroaggregation between Charged and Neutral Particles". DOI: 10.1021/acs.langmuir.0c00667. Files containing data have .dat extension and are in text format.
DOI: 10.5281/zenodo.3939001
title: Inputs for calculating properties of molecular oxygen

description: In [Javanainen <em>et al., </em><em>J. Phys. Chem. B</em> 2017, 121, 3, 518–528], we parametrized models for molecular oxygen and benchmarked a number of existing models. Recently, we noticed a mistake in the calculation of heat of vaporization, and thus reparametrized the models [ADD]. The simulation inputs for the performed benchmarks are provided here. The parameters of the new models are provided in the TOP folder. For each model (noQ, QL, QS), the LIQUID folder contains inputs for the simulation of liquid oxygen. The WATER and HEXADECANE folders contain files for the calculation of the energy of solvation into the corresponding phase. The SCRIPTS folder contains scripts for this purpose, and the workflow goes as follows: ./mkdirs (creates directories) ./mk_mdp_1 (creates mdp files for the first set of simulations) ./mk_md_1 (creates tpr files for the first set of simulations) (run simulations in serial or parallel) repeat 2&3 with "1" replaced by "2" (the second set of simulations) ./calc_dgdl_1 & ./calc_dgdl_2 (integrates for the electrostatic and LJ contributions to free energy)
DOI: 10.5281/zenodo.3938982
title: Anacostia Watershed Study

description: Campus Creek and Paint Branch Creek are two urban streams located on the Campus of the University of Maryland. See Kaushal 2019 for further site descriptions. Data on following pages is for water quality that has been published in Haq et al. 2018, Kaushal et al. 2019.
DOI: 10.5281/zenodo.3939000
title: Inputs for calculating properties of molecular oxygen

description: In [Javanainen <em>et al., </em><em>J. Phys. Chem. B</em> 2017, 121, 3, 518–528], we parametrized models for molecular oxygen and benchmarked a number of existing models. Recently, we noticed a mistake in the calculation of heat of vaporization, and thus reparametrized the models [ADD]. The simulation inputs for the performed benchmarks are provided here. The parameters of the new models are provided in the TOP folder. For each model (noQ, QL, QS), the LIQUID folder contains inputs for the simulation of liquid oxygen. The WATER and HEXADECANE folders contain files for the calculation of the energy of solvation into the corresponding phase. The SCRIPTS folder contains scripts for this purpose, and the workflow goes as follows: ./mkdirs (creates directories) ./mk_mdp_1 (creates mdp files for the first set of simulations) ./mk_md_1 (creates tpr files for the first set of simulations) (run simulations in serial or parallel) repeat 2&3 with "1" replaced by "2" (the second set of simulations) ./calc_dgdl_1 & ./calc_dgdl_2 (integrates for the electrostatic and LJ contributions to free energy)
DOI: 10.5281/zenodo.3938981
title: Anacostia Watershed Study

description: Campus Creek and Paint Branch Creek are two urban streams located on the Campus of the University of Maryland. See Kaushal 2019 for further site descriptions. Data on following pages is for water quality that has been published in Haq et al. 2018, Kaushal et al. 2019.
DOI: 10.5281/zenodo.3937596
title: Spontaneous pupillary oscillations increase during mindfulness meditation

description: PLEASE DO NOT USE THIS DATASET (it is corrupted), look at version 2 instead!
DOI: 10.5281/zenodo.3939009
title: Spontaneous pupillary oscillations increase during mindfulness meditation

description: This is the dataset reported in the manuscript "Spontaneous pupillary oscillations increase during mindfulness meditation" currently under review
DOI: 10.5281/zenodo.3937595
title: Spontaneous pupillary oscillations increase during mindfulness meditation

description: This is the dataset reported in the manuscript "Spontaneous pupillary oscillations increase during mindfulness meditation" currently under review
DOI: 10.5281/zenodo.3937239
title: Quality control report from Qualimap 2.2.1.

description: Quality control report from Qualimap 2.2.1.
DOI: 10.5281/zenodo.3937238
title: Quality control report from Qualimap 2.2.1.

description: Quality control report from Qualimap 2.2.1.
DOI: 10.5281/zenodo.3937220
title: Datasets and Supporting Materials for the IPIN 2019 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site)

description: This package contains the datasets and supplementary materials used in the IPIN 2019 Competition (Pisa , Italy). <strong>Contents:</strong> track4_ipin2019competition.pdf: Call for competition including the technical annex describing the competition 01-Logfiles: This folder contains 2 zip files.<br> - HKB08.zip : for sensors bias estimation.<br> - HKB21.zip : for trajectory estimation.<br> Each archive contains 4 files :<br> - HKBxx_mag.csv : magnetometer data<br> - HKBxx_sti.csv : inertial data<br> - HKBxx_ublox.ubx : GNSS data<br> - HKBxx_INFO.txt : info file<br> see track4_ipin2019competition.pdf for more details. 02-Supplementary_Materials: This folder contains the datasheet files of the different sensors. 03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on all evaluation points. The ground truth is provided csv file. <strong>Please, cite the following works when using the datasets included in this package:</strong> Ortiz, M.; Perul, J.; Torres-Sospedra, J. Renaudin, V. Datasets and Supporting Materials for the IPIN 2019 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site), Zenodo 2019 http://dx.doi.org/10.5281/zenodo.3937220 <strong>Additional information can be found at:</strong> http://ipin-conference.org/2019/competition.html <strong>For any further questions about the database and this competition track, please contact to: </strong> Miguel Ortiz (miguel.ortiz@univ-eiffel.fr) at the University Gustave Eiffel, France.
DOI: 10.5281/zenodo.3937219
title: Datasets and Supporting Materials for the IPIN 2019 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site)

description: This package contains the datasets and supplementary materials used in the IPIN 2019 Competition (Pisa , Italy). <strong>Contents:</strong> track4_ipin2019competition.pdf: Call for competition including the technical annex describing the competition 01-Logfiles: This folder contains 2 zip files.<br> - HKB08.zip : for sensors bias estimation.<br> - HKB21.zip : for trajectory estimation.<br> Each archive contains 4 files :<br> - HKBxx_mag.csv : magnetometer data<br> - HKBxx_sti.csv : inertial data<br> - HKBxx_ublox.ubx : GNSS data<br> - HKBxx_INFO.txt : info file<br> see track4_ipin2019competition.pdf for more details. 02-Supplementary_Materials: This folder contains the datasheet files of the different sensors. 03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on all evaluation points. The ground truth is provided csv file. <strong>Please, cite the following works when using the datasets included in this package:</strong> Ortiz, M.; Perul, J.; Torres-Sospedra, J. Renaudin, V. Datasets and Supporting Materials for the IPIN 2019 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site), Zenodo 2019 http://dx.doi.org/10.5281/zenodo.3937220 <strong>Additional information can be found at:</strong> http://ipin-conference.org/2019/competition.html <strong>For any further questions about the database and this competition track, please contact to: </strong> Miguel Ortiz (miguel.ortiz@univ-eiffel.fr) at the University Gustave Eiffel, France.
DOI: 10.5281/zenodo.3939024
title: RARE: A Labeled Dataset for Cloud-Native Memory Anomalies

description: The dataset is linked to the paper RARE: A Labeled Dataset for Cloud-Native Memory Anomalies. This dataset has been generated using a microservice for injecting artificial byte stream in order to overload the nodes, provoking memory anomalies, It includes 2 files: - List_of_anomalies.csv includes the details on the anomalies injected - RARE.csv is the actual dataset. There are a total of 30 anomalies injected in the dataset. The full dataset comprise 10K labelled time-series, each with 7062 metrics.
DOI: 10.5281/zenodo.3939019
title: EEG sleep and BCI K01 from May 2019 to June 2020

description: Data
DOI: 10.5281/zenodo.3939018
title: EEG sleep and BCI K01 from May 2019 to June 2020

description: Data
DOI: 10.5281/zenodo.3939048
title: RCTs and non-RCT studies on preventive measures and treatments for Covid-19

description: In the course of our PubMed searches and prepreints from MedRxiv, we identified a number of RCTs and non-RCT studies on preventive measures and treatments for Covid-19 that we have included in our systematic review. This file is updated regularly.
DOI: 10.5281/zenodo.3939043
title: UF-IDD/Ab2HCoV_Review: Digitized more data

description: Added more data in response to reviewer's requests.
DOI: 10.5281/zenodo.3751566
title: UF-IDD/Ab2HCoV_Review: Digitized more data

description: Added more data in response to reviewer's requests.