cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4453599
title: Data_Evaluation of Deep Learning Based Segmentation Methods for Industrial Burner Flames

description: The publicated files contain data related to the research article with the title Evaluation of Deep Learning Based Segmentation Methods for Industrial Burner Flames. It contains raw image data, segmentation results and a matlab script for visualization and its derived figures.
DOI: 10.5281/zenodo.4075095
title: Dataset for: Sensitivity of a satellite algorithm for harmful algal blooms discrimination to the use of laboratory bio-optical data for training

description: Two files relating to the publication by Martinez-Vicente et al. (2020). meris_data_karenia_alt_chla.xlsx : file containing the chlorophyll concentrations for the different areas in the MODIS images selected for training and evaluation of the algorithm. coefficients_for_LDA_Karenia_mikimotoi.zip: file containing the coefficients for the Linear Discriminant Analysis (LDA) resulting from the training datasets 1,2 and 3.
DOI: 10.5281/zenodo.3502871
title: microsatellite data

description: This is the microsatellite raw data of the article 'Revelation of genetic diversity and structure of wild <em>Elymus excelsus</em> (Poaceae: Triticeae) collection from western China by SSR markers' published at Peer J.
DOI: 10.5281/zenodo.4558467
title: Global estimates of drought stress in soils using SMAP

description: This resource provides the global estimates of Flash Drought Stress Index (FDSI) from 31<sup>st</sup> Match 2015 through 19<sup>th</sup> March 2019 at a daily time-step at 36-km spatial resolution. FDSI non-linearly combines Soil Moisture Stress (SMS, drought stress) and the Relative Rate of Drydown (RRD, drought stress intensification rate). SMS and RRD are developed using SMAP<em> θ<sub>RS</sub></em> (March 2015-2019) and footprint-scale seasonal soil water retention parameters and land-atmospheric coupling strength. The value of FDSI ranges between (0, 1) with values &gt;0.71 indicates flash drought conditions. For details, the readers are referred to the <strong>read.me.pdf</strong>.
description: The authors acknowledge the funding support from NASA SMAP projects (NNX16AQ58G, 80NSSC20K1807). We thank the Texas A&M High-Performance Research Computing (https://hprc.tamu.edu/) for providing computing resources for this research.
description: {"references": ["Sehgal, V., Gaur, N., & Mohanty, B. P. (2020) \"Global Surface Soil Moisture Drydown Patterns.\" Water Resources Research: 57 (1). doi: 10.1029/2020WR027588", "Sehgal, V., Gaur, N., & Mohanty, B. P. (2021)\" Global Flash Drought Monitoring using Surface Soil Moisture.\" (Under review) Preprint available at: Earth and Space Science Open Archive"]}
DOI: 10.5281/zenodo.3257749
title: Variant Data from Pooled Sequencing of Hybrid Kiwifruit

description: Variant data from pooled sequencing of hybrid <em>Actinidia</em> families segregating for fruit size and Vitamin C Content.
description: {"references": ["Genomic Analysis of a Super-High Vitamin C Trait in Polyploid Hybrids of Kiwifruit (Actinidia spp.). John McCallum, Susan Thomson ,William Laing, Mareike Knaebel,Jibran Tahir, Simon Deroles, Sean Bulley, Ross Crowhurst\u00a0, Elena Hilario, Andrew Catanach, Alan Seal. (2018) Submitted"]}
DOI: 10.5281/zenodo.1219679
title: Beyond Throughput: A 4G Lte Dataset With Channel And Context Metrics

description: The following provides a 4G trace dataset composed of client-side cellular key performance indicators (KPIs) collected from two major Irish mobile operators, across different mobility patterns (static, pedestrian, car, tram and train). The 4G trace dataset contains 135 traces, with an average duration of fifteen minutes per trace, with viewable throughput ranging from 0 to 173 Mbit/s at a granularity of one sample per second. Our traces are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. This tool enables capturing various channel related KPIs, context-related metrics, downlink and uplink throughput, and also cell-related information.

To supplement our real-time 4G production network dataset, we also provide a synthetic dataset generated from a large-scale 4G ns-3 simulation that includes one hundred users randomly scattered across a seven-cell cluster. The purpose of this dataset is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the eNodeB environment and scheduling principle, to end user. In addition to this dataset, we also provide the code and context information to allow other researchers to generate their own synthetic datasets.
DOI: 10.5281/zenodo.3502872
title: microsatellite data

description: This is the microsatellite raw data of the article 'Revelation of genetic diversity and structure of wild <em>Elymus excelsus</em> (Poaceae: Triticeae) collection from western China by SSR markers' published at Peer J.
DOI: 10.5281/zenodo.377007
title: Pm10 And Pm2.5 Concentrations Of Chemical Tracers For Natural Sources

description: The contribution of natural sources in particulate matter (PM) concentrations has been assessed for 5 Southern European cities: Porto (Portugal), Barcelona (Spain), Milan and Florence (Italy) and Athens (Greece).  A database on the impact of natural source has been compiled, including concentrations of PM and chemical tracers used for the identification and quantification of African dust and sea salt contributions, as well as the calculated African net dust, and sea salt concentrations for each city. In addition, wildfires’ contribution is provided for Porto. Both PM<sub>10</sub> and PM<sub>2.5</sub> concentrations are reported for a total of six sites:


	Porto urban traffic site, POR-TR
	Barcelona urban background site, BCN-UB
	Milano urban background site, MLN-UB
	Florence urban background site, FI-UB
	Athens suburban site, ATH-SUB
	Athens urban traffic site, ATH-TR.
DOI: 10.5281/zenodo.4656141
title: Electricity Weekly Dataset

description: The electricity dataset represents the electricity consumption of 370 clients recorded in 15-minutes periods in Kilowatt (kW) from 2011 to 2014. The uploaded dataset is an aggregated version of the hourly electricity dataset used by Lai et al. (2017). It contains 321 weekly time series from 2012 to 2014.
description: {"references": ["UCI, 2020. Electricityloaddiagrams20112014 data set, uci machine learning repository. Accessed: 2020-04-30. URL https://archive.ics.uci.edu/ml/datasets/ElectricityLoadDiagrams20112014", "Lai, G., Chang, W., Yang, Y., Liu, H., 2017. Modeling long and short-term temporal patterns with deep neural networks. CoRR abs/1703.07015.URL http://arxiv.org/abs/1703.07015", "Lai, G., 2017. multivariate-time-series-data. https://github.com/laiguokun/multivariate-time-series-data, accessed: 2020-05-04"]}
DOI: 10.5281/zenodo.1470770
title: UAV Map of Isimila, Tanzania

description: UAV-based mapping data set for the Middle Pleistocene archaeological site of Isimila, Tanzania. Includes full-resolution orthomosaic, digital elevation model, flight data, and video data.
DOI: 10.5281/zenodo.3875159
title: Resting-state EEG recordings in 20-30-year-old and 65-75-year-old healthy humans

description: Raw EEG recordings of resting-state brain activity (six one minute baseline recordings, alternating eyes-closed and eyes-open for one minute each), down-sampled offline to 512 Hz using the Biosemi decimator tool and exported from BrainAnalyzer after renaming the markers. No other changes applied. BrainAnalyzer generates three files for each subject, needed to open the data in BA, EEGlab… A text header file (.vhdr) containing meta data, a text marker file (.vmrk) containing information about events in the data and a binary data file (.eeg) containing the voltage values of the EEG. For acronyms within the recordings: - the start of each eye closed segment = BegF1 (or BegRSf for a few files) - the end of each eye closed segment = EndF1 (or EndRSf for a few files) - the start of each eye open segment = BegO1 (or BegRSo for a few files) - the end of each eye open segment = EndO1 (or EndRSo for a few files)
DOI: 10.5281/zenodo.4006600
title: Freshwater zooplankton metapopulations and metacommunities respond differently to environmental and spatial variation data files

description: We used this data to examine how crustacean zooplankton and rotifer species’ metapopulation genetic structure and metacommunities respond to environmental and spatial variation both within and across four regions of boreal Canada (see Martin et al. in press, Freshwater zooplankton metapopulations and metacommunities respond differently to environmental and spatial variation, Ecology). Whole community zooplankton samples were collected from 113 lakes from four environmentally, geologically, and geographically distinct regions of Québec, Canada. Each lake was sampled once, and the bulk zooplankton samples were sequenced using metabarcoding targeting the cytochrome c oxidase subunit I (COI) mitochondrial gene region. Sequences were clustered to species based on 3% OTUs and within species-variation was captured based on ASVs. Read abundances were then normalized using rarefaction to the lowest library to accommodate differences in sequencing depth across sites. In addition 16 environmental variables plus two spatial variables were used to capture abiotic variation between lakes. The data files include the ASV sequences, OTU and taxonomic assignment, and site variables.
DOI: 10.5281/zenodo.4587959
title: DNS of incompressible immiscible Rayleigh–Taylor instabilities

description: Coordinates (\(y\)) of the spike, bubble and saddle point and also interface area in 2D and 3D, single–mode and multi–mode, incompressible immiscible Rayleigh–Taylor instabilities with different Atwood numbers (\(At\)), Reynolds numbers (\(Re\)) and initial perturbation amplitudes (\(A\)). This dataset is based on direct numerical simulations conducted using a phase–field approach implemented within Xcompact3d (https://www.incompact3d.com/), a high–order finite-difference computational fluid dynamics framework. #==============================================================================================<br> # Please cite the following paper when publishing using this dataset: <br> # Title: Direct numerical simulations of incompressible Rayleigh–Taylor instabilities at low and medium Atwood numbers <br> # Authors: Arash Hamzehloo, Paul Bartholomew and Sylvain Laizet<br> # Journal: <br> # DOI: <br> # ============================================================================================== Please note: The 2D single-mode simulations are for a \([0,1]\times[0,4]\) domain with a \(129\times513\) grid size. The 3D single-mode simulations are for a \([0,1]\times[0,4]\times[0.1]\) domain with a \(129\times513\times129\) grid size. The 3D multi-mode simulation is for a \([0,\pi]\times[0,3\pi]\times[0,\pi]\) domain with a \(201\times601\times201\) grid size. In all files, column #1 is the time interval. If it is multiplied by 0.25 then gives: \(t^{\ast}= {t\sqrt{At}}\). For the single-mode simulations, the relative coordinate (\(y^{\ast}\)) provided in the reference paper is \(y^{\ast}=y-2\). For the 2D single-mode simulations, the interface is initially located at: \(y_0=2+0.1 \cos(2\pi x)\). For the 3D single-mode simulations, the interface is initially located at; \(y_0=2+A \Bigg[\cos(2\pi x) + \cos(2\pi z) \Bigg]\). For the 3D multi-mode simulation, the interfaces is initially located at: \(y_0=3\pi/2\) and the vertical component of the velocity vector is initialised as: \(u_2=A \beta \Bigg[ 1 + \cos(2\pi x) \Bigg]\), where \(\beta\) is a random number from -1 to 1. # ============================================================================================== Details of the Xcompact3d framework and its numerical methodology can be found in the following papers: Xcompact3D: An open-source framework for solving turbulence problems on a Cartesian mesh. (link) A new highly scalable, high-order accurate framework for variable-density flows: Application to non-Boussinesq gravity currents. (link) High-order compact schemes for incompressible flows: A simple and efficient method with quasi-spectral accuracy. (link)
DOI: 10.17632/jrpn2w2dwj.3
title: Data for: Research on vision-based tile recognition algorithms for robot grasping task in EAST tokamak

description: Data for the 100 experiments to test robustness of the proposed algorithm to fallen location.
DOI: 10.5281/zenodo.4027033
title: AgMIP-Wheat multi-model ensemble simulations on climate change impact and adaptation for 60 representative global locations

description: This is model output from the Agricultural Model Intercomparison and Improvement Project for wheat (AgMIP-Wheat) dataset of multi-model ensemble simulations for 60 representative global locations under different climate scenarios. The data have been generated following the modeling protocol of Asseng et al. (2019) and Liu et al. (2019). References Asseng, S. et al. (2019). Climate change impact and adaptation for wheat protein. Glob Chang Biol 25, 155-173, doi:10.1111/gcb.14481 Liu, B. et al. (2019). Global wheat production with 1.5 and 2.0°C above pre-industrial warming. Global Change Biol 25, 1428-1444, doi:10.1111/gcb.14542
description: {"references": ["Asseng, S. et al. (2019). Climate change impact and adaptation for wheat protein. Glob Chang Biol 25, 155-173, doi:10.1111/gcb.14481", "Liu, B. et al. (2019). Global wheat production with 1.5 and 2.0\u00b0C above pre-industrial warming. Global Change Biol 25, 1428-1444, doi:10.1111/gcb.14542"]}
DOI: 10.5281/zenodo.3931582
title: Rainfall-runoff data from an urban catchment in Luleå, Sweden.

description: Description and map of the catchment:<br> Broekhuizen, Ico, Günther Leonhardt, Jiri Marsalek, and Maria Viklander. “Event Selection and Two-Stage Approach for Calibrating Models of Green Urban Drainage Systems.” Hydrology and Earth System Sciences 24, no. 2 (February 26, 2020): 869–85. https://doi.org/10.5194/hess-24-869-2020. Rain gauge: Geonor T200B weighing bucket . Alter-type wind shield. Flow gauge: Teledyne ISCO 2150 Area-Velocity: acoustic Doppler for flow velocity, pressure transducer for water level. Additional information on field calibration checks of the rain gauge and laboratory testing of the same type of flow sensor:<br> Broekhuizen, Ico. “Uncertainties in Rainfall-Runoff Modelling of Green Urban Drainage Systems: Measurements, Data Selection and Model Structure.” Licentiate thesis, Luleå University of Technology, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-73367. Notes:<br> - The observations in this data set cover the snow-free parts of 2016-2019.<br> - For flow data, only observations &gt;= 1 l/s are provided. The authors would like to thank Helen Galfi, Ralf Rentz and Karolina Berggren for their work in the initial setup and maintenance of the field measurements.
DOI: 10.5281/zenodo.6376769
title: Microsatellite data for 13 populations of Reindeer

description: Genotypes of 16 microsatellite loci
DOI: 10.5281/zenodo.4534008
title: Can the topography of Tibetan Plateau affect the Antarctic Bottom Water?

description: The data is for the figures of "<strong>Can the topography of Tibetan Plateau affect the Antarctic Bottom Water?</strong>"
DOI: 10.5281/zenodo.4757572
title: Multi-region multi-sector contributions to drivers of air pollution in China_Datasets

description: This repository contains datasets related to the publication Multi-region multi-sector contributions to drivers of air pollution in China. The SO<sub>2</sub> and NO<sub>x</sub> generation and emissions inventory data are provided in Data Set S1. The GDP data in constant 2010 prices are provided in Data Set S2. The data to generate the figures (Figure 2 to 6 and Figure S1 to S6) are provided in Data Set S3-S13.
DOI: 10.5281/zenodo.5813231
title: UDWA:UAV Dataset with Altitude Part1

description: A high-resolution UAV dataset with altitude
DOI: 10.5281/zenodo.5843595
title: Multiple Land-use / Land-cover Dataset (MLULC)

description: This dataset covers the French metropolitan territory (500,000km²). It includes Six open access land-cover maps from various providers (CLC, CGLS-LC100, OSO, OCS-GE cover, OCS-GE use, MOS). A May 2019 Sentinel-2 L3A mosaic ( cloudless image using all maps available during a month) including RVB and NIR. Provided by Theia. A Manually built ground truth of 2300 random points annotated with their labels in each map nomenclature. A consolidated ground truth with the original 2300 and 400 non-random points focusing on rare classes. A suggested train/val/test split (60%,5%,35%). Note that all ground truth points belong to patches of the suggested <strong>test</strong> set. Since this dataset is intended to be used with a deep learning algorithm, the data is split into tiles of 6x6km² following a grid given with the dataset. More information is provided in README. Note that exception made of the ground truth, all the data (Land covers and Sentinel-Images) aren't our property and are only shared as authorized by their respective original license.
DOI: 10.5281/zenodo.4633779
title: Organic micropollutants and heavy metals in an urban stream in Berlin (Germany) during dry and wet weather conditions

description: This dataset includes concentrations of micropollutants (67), heavy metals (8) and standard parameters (9) for the urban stream Panke in Berlin (Germany) during dry and wet weather conditions. Samples were taken as part of the OgRe research project of Kompetenzzentrum Wasser Berlin (www.kompetenz-wasser.de/en/project/ogre/) in 2014 and 2015. Sampling and analytical methods are detailed in "Concentrations of micropollutants in urban stormwater runoff of different land uses" (https://doi.org/10.3390/w13091312). A dataset with concentrations of stormwater runoff samples taken from separate sewers of five catchments between 3 and 37 ha in Berlin (samples were taken as part of the same project) is available separately (https://zenodo.org/record/4631695). <strong>Description of fields:</strong> <strong>SampleID</strong>: unique sampe identifier <strong>SiteID</strong>: unique site identifier (catchment type) 1 - 5: catchment types for samples of stormwater runoff (available in seperate dataset) 6 - PNK: urban stream Panke, a small lowland river (MQ ~ 0.5 m³·s-1) characterized by strong stormwater inputs from separate sewer discharges <strong>LocalDateTime</strong>: start time of sampling (local) <strong>DateTimeUTC</strong>: start time of sampling (UTC) <strong>UTCOffset</strong>: UTC offset to local time in h <strong>SampleType</strong>: either "single" for grab sample (all stream samples) or "composite" for volume proportional composite sample (all samples from storm sewers, separate dataset) <strong>VariableName</strong>: name of analysed substance/parameter <strong>UnitsAbbreviation</strong>: either "ug/L" (microgram per litre) or "mg/L" (milligram per litre) <strong>CensorCode</strong>: either "lt" (less than) for concentration below detection limit (value is detection limit) or "nc" (not censored) for concentration above detection limit <strong>DataValue</strong>: measured value (if censor code is lt, value indicates detection limit) Two data files are provided in comma separated format: "Panke_wet_weather.csv" contains concentrations of all samples taken from the Panke stream during storm events (taken during event peak time) "Panke_dry_weather.csv" contains all concentrations of samples taken from the Panke stream at four dates during dry weather conditions
description: The study was financed through Berlin Environmental Relief Programme II (11409 UEPII/2) with funds of the European Regional Development Fund and Veolia Eau, which is greatly acknowledged.
DOI: 10.5281/zenodo.5813232
title: UDWA:UAV Dataset with Altitude Part1

description: A high-resolution UAV dataset with altitude
DOI: 10.5281/zenodo.5813325
title: UDWA:UAV Dataset with Altitude Part3

description: A high-resolution UAV dataset with altitude
DOI: 10.5281/zenodo.6362834
title: Satellite burned area dataset

description: Satellite burned area dataset: dataset containing several satellite acquisitions related to past forest wildfires. It contains 73 acquisitions from Sentinel2, Sentinel1 mission, and Digital Elevation Model (DEM). This dataset can be used to train and validate segmentation models for the burned area delineation task and severity estimation. Code to load data and train a baseline deep learning model for burned area delineation is available at https://github.com/lccol/XXXXXXXXX
DOI: 10.5281/zenodo.5207962
title: VPM Burst and Survey Data first release

description: VPM Burst and Survey Data for Marshall et al [2021], submitted to Earth and Space Sciences This data covers survey data on 06/28/2020, and a burst data collection of 06/14/2020. This data has been approved for public release by AFRL specifically for this publication. Other VPM data will be released by AFRL in the near future.
DOI: 10.6084/m9.figshare.21805203.v1
title: data.rar

description: To achieve a better mixing effect for the gas-liquid metal two-phase fluids and obtain higher velocity of liquid metal in the liquid metal magnetohydrodynamic (LMMHD) generator for improving its power output and power generation efficiency, a double-nozzle venturi mixer was proposed and the impact of mixer key dimensions, applied magnetic field and load factor on the mixing characteristics and power generation performance were investigated by adopting the VOF (volume of fluid) method in this paper. The results show that the velocity of liquid metal is greatly increased by the high-pressure gas in the mixer and the two-phase churn flow regime with lower two-phase slip ratio and higher uniformity, which represents a better mixing effect, can be found in the mixer with the smaller ratio of nozzle area to gas inlet area (<em>S</em>n/<em>S</em>g) and the larger ratio of mixing chamber area to total inlet area (<em>S</em>m/<em>S</em>i). In the range of this study, the output current, output power, and power generation efficiency of the LMMHD generator reach the maximum as the <em>S</em>n/<em>S</em>g = 0.040 and <em>S</em>m/<em>S</em>i =0.144. The increase of magnetic field not only ascents the volume fraction of liquid metal in the power generation channel, but also upgrades the two-phase uniformity, which are beneficial to improve the output power <em>P</em>wo and power generation efficiency <em>η</em>. However, the bigger magnetic field also leads to the ascension of two-phase slip ratio that makes the power generation performance be deteriorated. Besides, <em>P</em>wo and <em>η </em>elevates with the augmentation of the load factor<em> K</em> while <em>B</em>0 = 0.5 T