cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6399688
title: New dataset obtained from 2D positioning system with distributed control

description: The dataset contains the obtained trajectory (encoder measurements) of the 2D positioning system, as well as the reference (commanded) trajectory. The control task is distributed to the low-level controllers for x and y axes synchronized using IEEE 1588 Precision Time Protocol (PTP), where the movement of the axes is realized based on the data that the low-level controllers receive from the high-level controller. The dataset includes 60 signals (30 measurements for x and y axis) that represent obtained trajectories and 2 signals (x and y axes) that represent commanded trajectory, where the length of each signal is 61,000 samples. The system was designed and built by the Cyber-Physical Systems Lab at the Pratt School of Engineering, Duke University, where it is located. Table 1 shows the list of collected signals, whereas a detailed description of the system can be found in [1]. For more information, see [2, 3].
description: This dataset was developed with the support of the Science Fund of the Republic of Serbia, Grant No. 6523109, AI - MISSION4.0, 2020-2022.
description: {"references": ["[1] - Lesi, V., Jakovljevic, Z., Pajic, M., Synchronization of distributed controllers in cyber-physical systems, In 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 710-717, 2019.", "[2] - Lesi, V., Jakovljevic, Z., Pajic, M., Towards plug-n-play numerical control for reconfigurable manufacturing systems, In 21st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1-8, 2016.", "[3] - Lesi, V., Jakovljevic, Z., M. Pajic, Distributing Numerical Control for Reconfigurable Manufacturing Systems, Technical Report, 2022, available at: https://cpsl.pratt.duke.edu/sites/cpsl.pratt.duke.edu/files/images/lesi_cnc19.pdf"]}
DOI: 10.5281/zenodo.6399687
title: New dataset obtained from 2D positioning system with distributed control

description: The dataset contains the obtained trajectory (encoder measurements) of the 2D positioning system, as well as the reference (commanded) trajectory. The control task is distributed to the low-level controllers for x and y axes synchronized using IEEE 1588 Precision Time Protocol (PTP), where the movement of the axes is realized based on the data that the low-level controllers receive from the high-level controller. The dataset includes 60 signals (30 measurements for x and y axis) that represent obtained trajectories and 2 signals (x and y axes) that represent commanded trajectory, where the length of each signal is 61,000 samples. The system was designed and built by the Cyber-Physical Systems Lab at the Pratt School of Engineering, Duke University, where it is located. Table 1 shows the list of collected signals, whereas a detailed description of the system can be found in [1]. For more information, see [2, 3].
description: This dataset was developed with the support of the Science Fund of the Republic of Serbia, Grant No. 6523109, AI - MISSION4.0, 2020-2022.
description: {"references": ["[1] - Lesi, V., Jakovljevic, Z., Pajic, M., Synchronization of distributed controllers in cyber-physical systems, In 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 710-717, 2019.", "[2] - Lesi, V., Jakovljevic, Z., Pajic, M., Towards plug-n-play numerical control for reconfigurable manufacturing systems, In 21st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1-8, 2016.", "[3] - Lesi, V., Jakovljevic, Z., M. Pajic, Distributing Numerical Control for Reconfigurable Manufacturing Systems, Technical Report, 2022, available at: https://cpsl.pratt.duke.edu/sites/cpsl.pratt.duke.edu/files/images/lesi_cnc19.pdf"]}
DOI: 10.7273/q5j5-fc93
title: How to Take Representative Samples to Quantify Plastic Particles in Soil?
DOI: 10.25345/c5028ph5n
title: MassIVE MSV000089166 - BOTANNICAL_STANDARDS_FOR_PRESTON
title: BOTANNICAL_STANDARDS_FOR_PRESTON 10uM for comparison with orbi data
DOI: 10.15787/vtt1/bqjrfn
title: Radar and LiDAR Fusion for Scaled Vehicle Sensing Data Sensor Data Set (VTTI-00-025)

description: Project Description: The data set was recorded on January 2022 on the VTTI test track (Surface Street). This project developed a radar and LiDAR object tracking fusion technique for use on a 1/5th scaled vehicle. To address this and evaluate object tracking accuracy, raw sensor data from a Continental radar, Velodyne LiDAR, and an ArduSimple DGPS board was collected for both a full-sized vehicle and a small scale vehicle. The two vehicles were the only moving objects in the environment and performed three types of maneuvers within the FOV of the two static sensors. The first maneuver consisted of driving straight away and then straight back toward the sensors in the middle of their FOVs; the second consisted of driving away from and then back toward the sensors diagonally across their FOV; the third consisted of performing small s-turns when driving away from and then toward the sensors. The distance and speed of the maneuvers is scaled accordingly between the full scale and small scale vehicle. Data collection used ROS recordings and ROS messages to save the real time messages from the radar, LiDAR, and DGPS for later playback and analysis. The raw data was later used to identify and track the vehicle using only the radar, only the LiDAR, and then a fusion technique with the radar and LiDAR. The accuracy of each method was calculated using the DGPS as a ground truth, and metrics to compare the increase in accuracy using the fusion method was developed. Data Scope: The dataset includes 6 ROS recordings corresponding to one of the vehicle maneuvers of the small scale or full scale vehicle: 3 from the full scale vehicle trials and three from the small scale vehicle trials (Table 1, see Data Specification document below). The ROS bag recordings consist of time series data of the three main sensors (radar, LiDAR, and DGPS). The radar messages are stored in custom ARS430 ROS message types and contain radar point information including position, relative velocity, and other characteristics such as SNR, RCS, and false detection probability. LiDAR messages are stored in the common point cloud 2 messages that provide x, y, and z position and the intensity of each point within the point cloud. The DPGS board provides position and pose information in common ROS messages (geometry_msgs/Pose) in Cartesian coordinates relative to the static radar and LiDAR sensors. Each recording is between approximately 70-200 MB that correspond to trial duration times of approximately 30 seconds. Data Specification: Please see Data Specification document below.
DOI: 10.15482/usda.adc/1524800
title: The Bronson Files, Dataset 8, Field 113, 2016
DOI: 10.6084/m9.figshare.19426661
title: Processed Patches

description: We collected 3D representations of 96 natural objects such as rocks, leaves, bark, fruits, vegetables, etc., as well as 41 human-made objects including scissors, knifes, purses, mugs, etc. To quantify the local shape of these data, we randomly sampled 100-150 circular surface patches with a radius of 6 mm, similar to the size of a human fingertip. This procedure resulted in a total of 12,309 and 5,788 patches for natural and human-made objects, respectively. For each surface patch we computed maps of distance, slope, and curvature. Briefly, the distance of the surface points was computed with respect to a reference plane yielding a circular distance map P(D) with a total of 448 points for each patch. From P(D) we computed a 421-dimensional slope map P(S) using first-order forward difference, and a 384-dimensional curvature map P(C) using second-order central difference.
DOI: 10.6084/m9.figshare.19426661.v2
title: Processed Patches

description: We collected 3D representations of 96 natural objects such as rocks, leaves, bark, fruits, vegetables, etc., as well as 41 human-made objects including scissors, knifes, purses, mugs, etc. To quantify the local shape of these data, we randomly sampled 100-150 circular surface patches with a radius of 6 mm, similar to the size of a human fingertip. This procedure resulted in a total of 12,309 and 5,788 patches for natural and human-made objects, respectively. For each surface patch we computed maps of distance, slope, and curvature. Briefly, the distance of the surface points was computed with respect to a reference plane yielding a circular distance map P(D) with a total of 448 points for each patch. From P(D) we computed a 421-dimensional slope map P(S) using first-order forward difference, and a 384-dimensional curvature map P(C) using second-order central difference.
DOI: 10.6084/m9.figshare.19426661.v1
title: Processed Patches

description: We collected 3D representations of 96 natural objects such as rocks, leaves, bark, fruits, vegetables, etc., as well as 41 human-made objects including scissors, knifes, purses, mugs, etc. To quantify the local shape of these data, we randomly sampled 100-150 circular surface patches with a radius of 6 mm, similar to the size of a human fingertip. This procedure resulted in a total of 12,309 and 5,788 patches for natural and human-made objects, respectively. For each surface patch we computed maps of distance, slope, and curvature. Briefly, the distance of the surface points was computed with respect to a reference plane yielding a circular distance map P(D) with a total of 448 points for each patch. From P(D) we computed a 421-dimensional slope map P(S) using first-order forward difference, and a 384-dimensional curvature map P(C) using second-order central difference.
DOI: 10.7273/9nhs-fa22
title: Foliage Canopy of Apple Tree in Formal Architecture (point cloud data)
DOI: 10.26186/146418
title: East Tennant whole rock inorganic geochemistry data release

description: As part of Geoscience Australia's Exploring for the Future program, the East Tennant region, which is centred on the Barkly Roadhouse in the Northern Territory, was identified as having favourable geological and geophysical indicators of mineral systems potential. Potentially prospective stratigraphy in the East Tennant region is completely concealed beneath Mesoproterozoic to Quaternary cover sequences. Prior to 2020 basement rocks in the East Tennant region were only known from a handful of legacy boreholes, supported by geophysical interpretation. In order to test geophysical interpretations and obtain additional samples of basement rocks for detailed analysis, a stratigraphic drilling campaign was undertaken in the East Tennant region as part of the MinEx CRC’s National Drilling Initiative. Ten stratigraphic boreholes were drilled through the cover sequences and into basement for a total of nearly 4000 m, including over 1500 m of diamond cored basement rocks to be used for scientific purposes. Inorganic geochemical samples from East Tennant National Drilling Initiative boreholes were taken to characterise cover and basement rocks intersected during drilling. Two sampling approaches were implemented based on the rocks intersected: 1) Borehole NDIBK04 contained localised sulphide mineralisation and elevated concentrations of several economically-significant elements in portable X-ray fluorescence data. In order to understand the geochemical variability and distribution of elements important for mineral system characterisation, the entire basement interval was sampled at nominal one metre intervals. This spacing was reduced to between 0.5 and 0.25 m from 237 m to 263 m to better understand a more intense zone of mineralisation, and 2) Samples from boreholes NDIBK01, NDIBK02, NDIBK03, NDIBK05, NDIBK06, NDIBK07, NDIBK08, NDIBK09 and NDIBK10 were selected to capture lithological and geochemical variability to establish bulk rock geochemical compositions for further interpretation. Attempts were made to sample representative, lithologically consistent intervals. A total of 402 samples were selected for analysis. Sample preparation was completed at Geoscience Australia and Bureau Veritas, with all analyses performed by Bureau Veritas in Perth. All samples were submitted for X-ray fluorescence (XRF), laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS), FeO determination, and loss on ignition (LOI). Samples from borehole NDIBK04 also underwent total combustion C and S, and Pb collection fire assay by ICP-MS for determination of Au, Pt and Pd concentrations. This data release presents inorganic geochemistry data acquired on rock samples from the ten East Tennant National Drilling Initiative boreholes.
DOI: 10.5281/zenodo.6399959
title: LEARN-COVID: Dataset and documentation

description: The LEARN-COVID pilot study collected data on infants and their parents during the COVID-19 pandemic. Assessments took place between April and July 2021. Predominantly Swiss parents answered a baseline questionnaire on their behaviour related to the pandemic, social support, infant nutrition, and infant regulation. Subsequently, parents answered a 10-day evening diary on daily nutrition, infant regulation, parental mood, and parental soothing behaviour.
description: Dataset and documentation are published under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
DOI: 10.25810/k55w-7a04.47
title: World Radio Coverage of Climate Change or Global Warming, 2000-2021 - February 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/4c3b-b819.47
title: World Newspaper Coverage of Climate Change or Global Warming, 2004-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.16725583
title: Supplemental data for "Benefits of manual-sequence-processing steps and an Angiosperms353 phylogenomics pipeline applied to the Celastrales"

description: Supplemental data for "Benefits of manual-sequence-processing steps and an Angiosperms353 phylogenomics pipeline applied to the Celastrales"
DOI: 10.25810/c862-0e81.47
title: US Television Coverage of Climate Change or Global Warming, 2000-2021 - February 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/n3xc-9577.11
title: Finnish Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.34740/kaggle/dsv/3383928
title: BBC News
DOI: 10.5281/zenodo.4499208
title: InSAR stacks of southern Kyushu, Japan from ALOS-2

description: This repository contains the InSAR products used in Yunjun et al., 2021 (GRL). It includes two stacks of unwrapped interferograms in southern Kyushu Island, Japan from ALOS-2 ascending and descending orbit, respectively. Dataset 1: ALOS-2 ascending track 131 frame 620 Date: 30 September 2014 - 2 July 2019 (36 acquisitions; 204 interferograms) Processor: ISCE-2/stripmapStack Configurations: Alos2AT131F620.txt Dataset 2: ALOS-2 descending track 23 frame 1970 Date: 9 Feburary 2015 - 19 August 2019 (49 acquisitions; 341 interferograms) Processor: ISCE-2/stripmapStack Configurations: Alos2DT23F2970.txt This is an input dataset (loaded in HDF5/MintPy format) for the time series analysis with MintPy. The HDF5/MintPy file (*.h5) structure is described in https://mintpy.readthedocs.io/en/latest/api/data_structure/. <pre><code># compress the folder and split into multiple files using multiple cores tar cvf - Alos2AT131F620 | pigz -9 -p 6 | split -b 4000m - Alos2AT131F620.tar.gz tar cvf - Alos2DT23F2970 | pigz -9 -p 6 | split -b 4000m - Alos2DT23F2970.tar.gz # untar/uncompress the multiple files cat Alos2AT131F620.tar.gz* | tar xvfz - cat Alos2DT23F2970.tar.gz* | tar xvfz - </code></pre>
DOI: 10.5281/zenodo.4499207
title: InSAR stacks of southern Kyushu, Japan from ALOS-2

description: This repository contains the InSAR products used in Yunjun et al., 2021 (GRL). It includes two stacks of unwrapped interferograms in southern Kyushu Island, Japan from ALOS-2 ascending and descending orbit, respectively. Dataset 1: ALOS-2 ascending track 131 frame 620 Date: 30 September 2014 - 2 July 2019 (36 acquisitions; 204 interferograms) Processor: ISCE-2/stripmapStack Configurations: Alos2AT131F620.txt Dataset 2: ALOS-2 descending track 23 frame 1970 Date: 9 Feburary 2015 - 19 August 2019 (49 acquisitions; 341 interferograms) Processor: ISCE-2/stripmapStack Configurations: Alos2DT23F2970.txt This is an input dataset (loaded in HDF5/MintPy format) for the time series analysis with MintPy. The HDF5/MintPy file (*.h5) structure is described in https://mintpy.readthedocs.io/en/latest/api/data_structure/. <pre><code># compress the folder and split into multiple files using multiple cores tar cvf - Alos2AT131F620 | pigz -9 -p 6 | split -b 4000m - Alos2AT131F620.tar.gz tar cvf - Alos2DT23F2970 | pigz -9 -p 6 | split -b 4000m - Alos2DT23F2970.tar.gz # untar/uncompress the multiple files cat Alos2AT131F620.tar.gz* | tar xvfz - cat Alos2DT23F2970.tar.gz* | tar xvfz - </code></pre>
DOI: 10.5281/zenodo.4499238
title: InSAR stacks of southern Kyushu, Japan from ALOS

description: This repository contains the InSAR products used in Yunjun et al., 2021 (GRL). It includes two stacks of unwrapped interferograms in southern Kyushu Island, Japan from ALOS-1 ascending and descending orbit, respectively. Dataset 1: ALOS ascending track 424 frame 620-630. Date: 24 June 2006 - 7 April 2011 (29 acquisitions; 225 interferograms) Processor: ISCE-2/stripmapStack Configurations: AlosAT424F620_630.txt Dataset 2: ALOS descending track 73 frame 2970-2980 Date: 7 January 2007 - 20 April 2011 (21 acquisitions; 115 interferograms) Processor: ISCE-2/stripmapStack Configurations: AlosDT73F2970_2980.txt This is an input dataset (loaded in HDF5/MintPy format) for the time series analysis with MintPy. The HDF5/MintPy file (*.h5) structure is described in https://mintpy.readthedocs.io/en/latest/api/data_structure/. <pre><code># compress the folder and split into multiple files using multiple cores tar cvf - AlosAT424F620_630 | pigz -9 -p 6 | split -b 4000m - AlosAT424F620_630.tar.gz tar cvf - AlosDT73F2970_2980 | pigz -9 -p 6 | split -b 4000m - AlosDT73F2970_2980.tar.gz # untar/uncompress the multiple files cat AlosAT424F620_630.tar.gz* | tar xvfz - cat AlosDT73F2970_2980.tar.gz* | tar xvfz - </code></pre>
DOI: 10.5281/zenodo.4499237
title: InSAR stacks of southern Kyushu, Japan from ALOS

description: This repository contains the InSAR products used in Yunjun et al., 2021 (GRL). It includes two stacks of unwrapped interferograms in southern Kyushu Island, Japan from ALOS-1 ascending and descending orbit, respectively. Dataset 1: ALOS ascending track 424 frame 620-630. Date: 24 June 2006 - 7 April 2011 (29 acquisitions; 225 interferograms) Processor: ISCE-2/stripmapStack Configurations: AlosAT424F620_630.txt Dataset 2: ALOS descending track 73 frame 2970-2980 Date: 7 January 2007 - 20 April 2011 (21 acquisitions; 115 interferograms) Processor: ISCE-2/stripmapStack Configurations: AlosDT73F2970_2980.txt This is an input dataset (loaded in HDF5/MintPy format) for the time series analysis with MintPy. The HDF5/MintPy file (*.h5) structure is described in https://mintpy.readthedocs.io/en/latest/api/data_structure/. <pre><code># compress the folder and split into multiple files using multiple cores tar cvf - AlosAT424F620_630 | pigz -9 -p 6 | split -b 4000m - AlosAT424F620_630.tar.gz tar cvf - AlosDT73F2970_2980 | pigz -9 -p 6 | split -b 4000m - AlosDT73F2970_2980.tar.gz # untar/uncompress the multiple files cat AlosAT424F620_630.tar.gz* | tar xvfz - cat AlosDT73F2970_2980.tar.gz* | tar xvfz - </code></pre>
DOI: 10.25810/rxtv-eb29.47
title: German Newspaper Coverage of Climate Change or Global Warming, 2004-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/6qjv-1296.47
title: Indian Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5523/bris.11qjhj9l4jpfj2i34kob8d4eug
title: Motility assessment of macrophage subtypes

description: Image analysis of macrophage motility
DOI: 10.25810/fj1y-8c74.38
title: International Wire Services Coverage of Climate Change or Global Warming, 2004-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/v575-3r57.40
title: Japanese Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.19469501
title: Data for aeolian saltation under low sand availability

description: This folder contains the datasets for the figures. All the data are generated from our numerical simulations for aeolian sand transport under low sand availability.
DOI: 10.25810/5dxz-xm93.47
title: Latin American Newspaper Coverage of Climate Change or Global Warming, 2005-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.17942519
title: Data for aeolian saltation under limited supply

description: This folder contains the datasets for the figures. All the data are generated from our numerical simulations for aeolian sand transport under limited sediment supply conditions.