cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/asqe-7s69
title: OSCD - Onera Satellite Change Detection

description: The DatasetThe Onera Satellite Change Detection dataset addresses the issue of detecting changes between satellite images from different dates.It comprises 24 pairs of multispectral images taken from the Sentinel-2 satellites between 2015 and 2018. Locations are picked all over the world, in Brazil, USA, Europe, Middle-East and Asia. For each location, registered pairs of 13-band multispectral satellite images obtained by the Sentinel-2 satellites are provided. Images vary in spatial resolution between 10m, 20m and 60m.Pixel-level change ground truth is provided for 14 of the image pairs. The annotated changes focus on urban changes, such as new buildings or new roads. These data can be used for training and setting parameters of change detection algorithms. The BenchmarkThe algorithms can be tested in a benchmark for change detection.The ground truth for the 10 remaining images remain undisclosed. Change prediction maps can be uploaded for evaluation on the IEEE GRSS DASE website. Various metrics such as per-class accuracy and confusion matrices are automatically computed on the website, and are available for participants. Comparison to the best performing methods is provided in the leaderboard associated with this benchmark.ReferencesIf you use this work for your projects, please take the time to cite our paper:Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks, R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau. IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2018). Valencia, Spain. July 2018.[PDF] [BibTeX] The TeamRodrigo Caye Daudt, rodrigo.daudt@onera.frBertrand Le Saux, bertrand.le_saux@onera.frAlexandre Boulch, alexandre.boulch@onera.frYann Gousseau, yann.gousseau@telecom-paristech.fr
DOI: 10.4121/507c8652-4aef-494e-8a73-3f3a68bb6b97.v1
title: Frequency and Time Response Data presented in the publication: The Dynamic Coupling Between the Pulse Wake Mixing Strategy and Floating Wind Turbines

description: Dear user,<br>This dataset contains the information required to make the frequency response functions and the time domain data as presented in https://doi.org/10.5194/wes-2022-115. Please be aware that the wind speed data set is quite large (~18 GB) and it takes some time to download and process it.Two read-me files briefly explain the data's content and how the Matlab scripts are set up.<br>When the folder containing the data is placed in the same folder location as that of the Matlab scripts, they should run without issue. When completed the scripts will produce the same figures as those used in the referenced paper.<br><strong>Background</strong>The data used in this work (and also uploaded) is generated using QBlade (https://qblade.org) which is developed and maintained by TU Berlin. They are also part of the Floatech Project of which this work is also a part. Due to the close collaboration between the two parties, various quality-of-life updates were implemented into QBlade during the process of generating data for this work. For this reason, the data is not presented in the same way, however, the underlying physic solver remained the same throughout the research process.<br>The data is generated using the NREL 5MW turbine mounted on the OC3 platform. The use of a standardized turbine and floater design allows for easier comparison between different designs.
DOI: 10.4225/08/5b0f96411947f
title: Hydrogeochemistry of north Yilgarn Craton (M414): Data Release

description: This regional hydrogeochemical dataset combines the NE Yilgarn (2007-9), Byro-Belele (2011-12) and NW Yilgarn Hydrogeochemistry (2012-14) Project datasets, along with previous mine-site based sampling in the northern Yilgarn Craton.
DOI: 10.5281/zenodo.5910989
title: LegacyClimate 1.0: A dataset of pollen-based climate reconstructions from 2594 Northern Hemisphere sites covering the late Quaternary

description: This repo consists of code to run the climate reconstruction from fossil pollen data for an example site based on the R-rioja package. The input data includes harmonized open-access modern and fossil pollen datasets so that customized reconstructions can be easily established.
DOI: 10.5281/zenodo.7310933
title: Country greenhouse gas emissions from the non-renewable fraction of woodfuel used in households

description: <strong>Country greenhouse gas emissions from the non-renewable fraction of woodfuel used in households</strong> <strong>Data Structure</strong> The data is structured as a tabular data with attributes: AreaName, ISO3, ItemName, ElementName, Year, Value, Unit. <strong>Attributes (Columns)</strong> Attributes in the data are defined as below: <strong>Name</strong> <strong>Descriptions</strong> <strong>AreaName</strong> characterizes all countries including world and regional aggregates <strong>ISO3</strong> represents three letter ISO3 country codes (not all regional aggregates have ISO3 country codes) <strong>ItemName</strong> represents all items covered in the data <strong>ElementName</strong> represents all gases covered in the data <strong>Year</strong> period covered by the data <strong>Value</strong> represents the emissions value <strong>Unit</strong> Unit of measurement (in this data emissions are measured in kilotonnes)
DOI: 10.5281/zenodo.7983449
title: Data for 'Evaluating WRF-GC v2.0 predictions of boundary layer and vertical ozone profiles during the 2021 TRACER-AQ campaign in Houston, Texas'

description: This repository provides observation datasets, model configuration files, model boundary conditions, model input files, and scripts used in the manuscript titled 'Evaluating WRF-GC v2.0 predictions of boundary layer and vertical ozone profiles during the 2021 TRACER-AQ campaign in Houston, Texas'.
DOI: 10.6084/m9.figshare.20484357
title: Prevalence, causes and impacts of human trafficking in Asian countries: A scoping review

description: The purpose of this study is to collect evidence on human trafficking in Asian countries. A systematic review methodology was used to search online databases including Sage Journals Online, Wiley Online, Hein Online, Taylor & Francis Online, Web of Science, and Scopus literature to amalgamate information on this issue. For the purposes of this article, 64 studies met the inclusion criteria after searching and screening a total number of 1278 studies. The findings of this study were classified under three categories: prevalence of human trafficking in Asia, causes of human trafficking in Asia (poverty and unemployment, environmental and manmade disaster, weak policies and corruption), and impacts of human trafficking including social, health, physical, psychological impacts. <br>
DOI: 10.1285/i20705948v12n2p453
title: A new two-parameter estimator for the inverse Gaussian regression model with application in chemometrics

description: The presence of multicollinearity among the explanatory variables has undesirable effects on the maximum likelihood estimator (MLE). The inverse Gaussian regression (IGR) model is a well-known model in application when the response variable positively skewed. To address the problem of multicollinearity, a two-parameter estimator is proposed (TPE). The TPE enjoys the advantage that its mean squared error (MSE) is less than MLE. The TPE is derived and the performance of this estimator is investigated under several conditions. Monte Carlo simulation results indicate that the proposed estimator performs better than the MLE estimator in terms of MSE. Furthermore, a real chemometrics dataset application is utilized and the results demonstrate the excellent performance of the suggested estimator when the multicollinearity is present in IGR model.
DOI: 10.17188/1277151
title: Materials Data on CrCuS2 by Materials Project

description: CuCrS2 is Ilmenite-like structured and crystallizes in the trigonal R3m space group. The structure is three-dimensional. Cr3+ is bonded to six S2- atoms to form CrS6 octahedra that share corners with nine equivalent CuS4 trigonal pyramids, edges with six equivalent CrS6 octahedra, and a faceface with one CuS4 trigonal pyramid. There are three shorter (2.37 Å) and three longer (2.50 Å) Cr–S bond lengths. Cu1+ is bonded to four S2- atoms to form distorted CuS4 trigonal pyramids that share corners with nine equivalent CrS6 octahedra, corners with six equivalent CuS4 trigonal pyramids, and a faceface with one CrS6 octahedra. The corner-sharing octahedra tilt angles range from 49–59°. There are one shorter (2.21 Å) and three longer (2.38 Å) Cu–S bond lengths. There are two inequivalent S2- sites. In the first S2- site, S2- is bonded in a 6-coordinate geometry to three equivalent Cr3+ and three equivalent Cu1+ atoms. In the second S2- site, S2- is bonded to three equivalent Cr3+ and one Cu1+ atom to form distorted corner-sharing SCr3Cu trigonal pyramids.
DOI: 10.17632/4j8npwgvmv.2
title: Dataset on the spatial distribution of groundwater quality for pH, EC, TH, Ca2+, Mg2+, HCO3- . F-, and NO3- and in Dodoma, Singida, and Tabora regions located in central Tanzania

description: A total of 64 water samples were collected in all. 22 samples from Dodoma and Singida and 20 samples from Tabora. All samples were collected from boreholes that are publicly accessible. Data collection covered a total distance of 1,344 km, which was divided into east-west along B129, B6, and B143 roads and north-south along A104, B141, and B6 roads. GPS coordinates of sample collection sites were recorded using a Garmin Nuvi 255w GPS receiver. All samples were collected within a three-day period in the month of August of 2020. pH, temperature, and EC were measured on site. The levels of TH, HCO3-, NO3-, and F- were determined within 24 hours of sample collection. The samples were kept in a 1 L polythene plastic bottle washed with distilled and sample. This dataset shows the parameters of pH, EC, TH, Ca2+, Mg2+, HCO3- NO3-, F-,  and NO3-
DOI: 10.5281/zenodo.6856704
title: Vertical coupling of gusts in the lower boundary layer during super typhoons and squall lines

description: 10 Hz Wind data of four cases.
DOI: 10.5281/zenodo.6984180
title: The role of tropical cyclone on Changjiang River subaqueous delta geomorphology: a numerical investigation of Tropical Cyclone Danas (2019)

description: ecs_mesh: Model domain used for numerical simulation in Matlab data format. Variable description of ecs_mesh.mat: nodex/nodey: Longitude/Latitude of the vertices of the triangles cellx/celly: Longitude/Latitude of the faces of the triangles nodeh: Bathymetry of the vertices nv: Vertices composition of the triangles model_result_baroclinic: Used FVCOM model output from 2019-07-01 to 2019-08-01 in Matlab data format. Variable description of model_result_baroclinic.mat: SSC: Total suspended sediment concentration of all sediment classes, units: g/L deposition_flux: Deposition flux of suspended sediment, units: kg/m^2/h divergence_sed_flux: depth-integrated divergence of sediment flux, units: kg/m^2/h erosion_flux: Erosion flux of sea-bed surface sediment, units: kg/m^2/h salinity: sea water salinity, units: psu taub: Total bed stress, units: Pa time_model: Time of the results, time zone: LST u: Eastward water velocity, units: m/s v: Northward water velocity, units: m/s zeta: Water surface elevation model_verify: Bed elevation data from ADV, wave parameters from buoy, and bottom suspended sediment concentration from OBS in Matlab data format. Variable description of model_verify.mat: ADV_BEC_xx: Bed Elevation measurement from ADV at Station xx, units: mm ADV_time_xx: Measurement time of bed elevation of ADV at Station xx, time zone: LST Buoy_hs_S1: Significant wave height measurement from Buoy at Station S1, units: m Buoy_time_S1: Measurement time of Buoy at Station S1, time zone: LST Buoy_tpeak_S1: Peak wave period measurement from Buoy at Station S1, units: s OBS_SSC_S1: Suspended sediment concentration measurement from OBS at Station S1, units: g/L OBS_time_S1: Measurement time of OBS at Station S1, time zone: LST tauc_mtke_S1: In-situ bottom shear stress calculated from turbulence kinetic energy method, units: Pa time_mtke_S1: Time of calculated bottom shear stress, time zone: LST time_wind: Time of surface wind at S1 from CFSv2 model from 2019-06-01 to 2019-08-01 time zone: LST u_wind: Eastward velocity of surface wind at S1 from CFSv2 model, units: m/s v_wind: Northward velocity of surface wind at S1 from CFSv2 model, units: m/s
DOI: 10.5281/zenodo.7084833
title: Effect of freshwater discharge from estuary dam on residual circulation in bifurcated channel

description: Zip-files contain matlab m-files and raw data of transects data in Yeoungsan Rver estuary. The code was designed to analysis the changes from the raw data. During freshwater discharge.zip file contains data set with a freshwater impact from a estuary dam, Whereas during non-freshwater discharge.zip file contains data set without a freshwater impacts period.
DOI: 10.5441/002/edbt.2020.41
title: FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions
DOI: 10.6073/pasta/4620375aea631ab6a09cb573c7bf8aff
title: National Forest and Soils Inventory of Mexico 2009-2014

description: This dataset contains plot estimates of dasometric indicators in all Mexican forest ecosystems. The dataset is from the National Forest and Soils Inventory (INFyS) of Mexico from the 2009-2014 cycle (n&gt;26,000 sampling plots).
DOI: 10.6084/m9.figshare.20131727
title: Replication Package for "What Quality Aspects Influence the Adoption of Docker Images?"

description: Replication Package for "What Quality Aspects Influence the Adoption of Docker Images?" Abstract: "Docker is a containerization technology that allows developers to ship software applications along with their dependencies in Docker images. Developers can extend existing images using them as base images when writing Dockerfiles. However, a lot of alternative functionally-equivalent base images are available. While many studies define and evaluate quality features that can be extracted from Docker artifacts, it is still unclear what are the criteria on which developers choose a base image over another. In this paper, we aim to fill this gap. First, we conduct a literature review through which we define a taxonomy of quality features, identifying two main groups: Configuration-related features (i.e., mainly related to the Dockerfile and image build process), and externally observable features (i.e., what the Docker image users can observe). Second, we ran an empirical study considering the developers’ preference for 2,441 Docker images in 1,911 open-source software projects. We want to understand (i) how the externally observable features influence the developers’ preferences, and (ii) how they are related to the configuration-related features. Our results pave the way to the definition of a reliable quality measure for Docker artifacts, along with tools that support developers for a quality-aware development of them"
DOI: 10.12751/g-node.p52i4s
title: Shadron_Pena_2022

description: Dataset for "Development shaped by cue reliability in the barn owl's auditory midbrain"
description: IsSupplementTo: Shadron, K and Peña JL (2022) Development shaped by cue reliability in the barn owl’s auditory midbrain. BioRxiv. (https://doi.org/10.1101/2022.09.29.510116)
description: IsSupplementTo: Cazettes, F, Fischer BJ, Peña JL (2014) Spatial cue reliability drives frequency tuning in the barn owl’s midbrain. eLife 3:e04854. (https://doi.org/10.7554/eLife.04854)
description: IsSupplementTo: von Campenhausen M, Wagner H (2006) Influence of the facial ruff on the sound-receiving characteristics of the barn owl’s ears. J Comp Physiol A 192:1073-1082. (https://doi.org/10.1007/s00359-006-0139-0)
DOI: 10.4225/08/575cdf378054a
title: Hydrogeochemistry of Western Australia: Data Release

description: This is the revised groundwater data from the Government of Western Australia (WA). Data was supplied by Lindsay Preece and Robert Lavis from Water Information Management at the Department of Water, WA. By combining data into one file, with consistent detection limits, correcting for analytical differences, and comparing with recent data, these data should now be readily usable and “seamlessly” comparable.  This data release is part of the “Continental Scale Hydrogeochemistry” initiative.
DOI: 10.5066/p94nydhv
title: Air and stream temperature and pressure for HJ Andrews Experimental Forest, Western Oregon, 2020

description: This dataset includes temperature and pressure data from 26 sites in the HJ Andrews Experimental Forest in western Oregon. Stream and Air data loggers were deployed in June of 2020 and downloaded in October 2020. The HJ_Andrews_Temperature file contains temperature data (in C) by logger serial number, site, and usage for the study period. The HJ_Andrews_Pressure file contains pressure data (in kPa) by logger serial number, site, and usage for the study period. The HJ_Andrews_Points spatial data layer contains site locations, geographic information, data summaries, and mean August stream temperatures. The HJ_Andrews_Wet_Dry delineation file contains daily flow status estimates derived from stream and air temperature data for each site. The HJ_Andrews_Visit file contains the date and time of the site visit along with associated information on site flow conditions, water depths, logger conditions, and stream logger water depths.
DOI: 10.6084/m9.figshare.11993970
title: Metadata record for: An interactive database of Leishmania species distribution in the Americas

description: This dataset contains key characteristics about the data described in the Data Descriptor An interactive database of Leishmania species distribution in the Americas. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.22559590.v1
title: Results of independent component analysis for the elemental mapping data of the hydrothermal ferromanganese oxides obtained from a petit-spot volcano

description: The dataset consists of IC (independent component) sores and IC loadings as the results of ICA (independent component analysis) on elemental mapping data of hydrothermal ferromanganese oxides obtained from a petit-spot volcano in the western North Pacific Ocean (https://doi.org/10.6084/m9.figshare.22559677). ICA was implemented using the “fastICA” function in the “fastICA” package developed for R software. The number of extracted ICs is 6.
DOI: 10.5281/zenodo.7244891
title: Supplementary data for "Upward leaders from instrumented lightning rods competing to connect a downward leader during a lightning attachment process"

description: High-speed videos of the lightning attachment to lightning rods observed by the Vision Reserch Phantom V12 and V711 cameras. See Instructions file to play the videos.
DOI: 10.5281/zenodo.7708253
title: Influence of Adaptive Coupling Points on Coalition Formation in Multi-Energy Systems: Simulation Result Tables

description: The dataset contains the result tables used for the paper "Influence of Adaptive Coupling Points on Coalition Formation in Multi-Energy Systems". Short description of the tables: all_in_one_tab.csv: contains all calculated metrics and attributes of the graph over time and adaptation rate event_tab.csv: contains all toggle events of the coupling points impact_dict.csv: contains the calculated impact values for every coupling point node_region.csv: contains region attributes for every node over adaptation rate static_component_properties.csv: contains static attributes static_node_component_properties.csv: contains static node attributes
DOI: 10.5281/zenodo.4405177
title: Chang'e 5 RF recording at 8486.2 MHz with Allen Telescope Array on 2020-12-19 (X polarization)

description: This dataset contains a recording of X-band telemetry signals from the Chinese lunar sample retrieve mission Chang'e 5 done on 2020-12-19, after the Earth flyby, in a direct trajectory to the Sun-Earth L1 Lagrange point. The recording was done at Allen Telescope Array using antenna 2h in dual XY (linear) polarization. The hardware configuration was as follows: antenna 2h was connected to RFCB LO d, which was tuned to a frequency of 8475 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 30.72 Msps and a GNU Radio flowgraph was used to channelize four frequencies from the spacecraft (8463.7, 8471.2, 8478.6 and 8486.2 MHz), using an IQ sample rate of 480 ksps for each channel. Only the 8471.2 MHz and 8486.2 MHz channels contains signals from the spacecraft. The GNU Radio flowgraph stored the IQ data for each channel as 32-bit floats in the GNU Radio metatata file format, with detached headers. After recording, the data was converted 16-bit integers and SigMF format. This dataset contains the IQ data for the channel at 8486.2 MHz, in SigMF format. Each polarization is in a different file. The original metadata headers are also provided. This dataset contains the X polarization. The Y polarization can be found in "Chang'e 5 RF recording at 8486.2 MHz with Allen Telescope Array on 2020-12-19 (Y polarization)".
DOI: 10.5281/zenodo.4405176
title: Chang'e 5 RF recording at 8486.2 MHz with Allen Telescope Array on 2020-12-19 (X polarization)

description: This dataset contains a recording of X-band telemetry signals from the Chinese lunar sample retrieve mission Chang'e 5 done on 2020-12-19, after the Earth flyby, in a direct trajectory to the Sun-Earth L1 Lagrange point. The recording was done at Allen Telescope Array using antenna 2h in dual XY (linear) polarization. The hardware configuration was as follows: antenna 2h was connected to RFCB LO d, which was tuned to a frequency of 8475 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 30.72 Msps and a GNU Radio flowgraph was used to channelize four frequencies from the spacecraft (8463.7, 8471.2, 8478.6 and 8486.2 MHz), using an IQ sample rate of 480 ksps for each channel. Only the 8471.2 MHz and 8486.2 MHz channels contains signals from the spacecraft. The GNU Radio flowgraph stored the IQ data for each channel as 32-bit floats in the GNU Radio metatata file format, with detached headers. After recording, the data was converted 16-bit integers and SigMF format. This dataset contains the IQ data for the channel at 8486.2 MHz, in SigMF format. Each polarization is in a different file. The original metadata headers are also provided. This dataset contains the X polarization. The Y polarization can be found in "Chang'e 5 RF recording at 8486.2 MHz with Allen Telescope Array on 2020-12-19 (Y polarization)".