cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10212447
title: IMS/IASI SO2 total column and SA OD daily gridded data

description: Datasets in support of the manuscript: https://essopenarchive.org/doi/full/10.22541/essoar.169091894.48592907 (in revision for GRL). 
Daily gridded SO2 and SA OD, daytime and nighttime overpasses
Data for January 2022 (starting on 13/01): 202201_ims_daily_gridded.zip
Data for February 2022: 202202_ims_daily_gridded.zip
DOI: 10.5281/zenodo.6392983
title: History in mathematics education - 6th grade

description: Data set related to an experiment on the use of history of mathematics (ancient Chinese numeration) carried out with 108 sixth grade students. The experiment consists of three parts: ordinary mathematical exercises (items Mxx), an activity (in class, without data), and an evaluation (items Hxx).


The experiment was carried out in October 2021.
description: This study was funded by the Institut National Supérieur du Professorat et de l'Éducation de l'académie de Lille - Hauts-de-France - France.
Data are given in csv format and Rdata format.
DOI: 10.5281/zenodo.6392984
title: History in mathematics education - 6th grade

description: Data set related to an experiment on the use of history of mathematics (ancient Chinese numeration) carried out with 108 sixth grade students. The experiment consists of three parts: ordinary mathematical exercises (items Mxx), an activity (in class, without data), and an evaluation (items Hxx).


The experiment was carried out in October 2021.
description: This study was funded by the Institut National Supérieur du Professorat et de l'Éducation de l'académie de Lille - Hauts-de-France - France.
Data are given in csv format and Rdata format.
DOI: 10.34740/kaggle/dsv/7072340
title: OnlineFree
DOI: 10.34740/kaggle/dsv/7072339
title: AutoXGB
DOI: 10.5281/zenodo.7189140
title: CHBH 2D semi-LASER MRSI reproducibility dataset

description: 2D semi-LASER MRSI reproducibility dataset acquired from 8 healthy participants at the CHBH, Birmingham, UK. Product Siemens sequence was used with Prisma scanner on VE11C software release.
DOI: 10.5281/zenodo.7692207
title: CHBH 2D semi-LASER MRSI reproducibility dataset

description: 2D semi-LASER MRSI reproducibility dataset acquired from 8 healthy participants at the CHBH, Birmingham, UK. Product Siemens sequence was used with Prisma scanner on VE11C software release.
DOI: 10.5281/zenodo.7692242
title: CHBH 2D semi-LASER MRSI reproducibility dataset

description: 2D semi-LASER MRSI reproducibility dataset acquired from 8 healthy participants at the CHBH, Birmingham, UK. Product Siemens sequence was used with Prisma scanner on VE11C software release.
DOI: 10.5281/zenodo.7189139
title: CHBH 2D semi-LASER MRSI reproducibility dataset

description: 2D semi-LASER MRSI reproducibility dataset acquired from 8 healthy participants at the CHBH, Birmingham, UK. Product Siemens sequence was used with Prisma scanner on VE11C software release.
These data were used in the following publication:
Vella, O., Bagshaw, A. P. & Wilson, M. SLIPMAT: A pipeline for extracting tissue-specific spectral profiles from 1H MR spectroscopic imaging data. Neuroimage 277, 120235 (2023).
Processing scripts:
https://github.com/martin3141/slipmat_paper
DOI: 10.5281/zenodo.7701228
title: CHBH 2D semi-LASER MRSI reproducibility dataset

description: 2D semi-LASER MRSI reproducibility dataset acquired from 8 healthy participants at the CHBH, Birmingham, UK. Product Siemens sequence was used with Prisma scanner on VE11C software release.
These data were used in the following publication:
Vella, O., Bagshaw, A. P. & Wilson, M. SLIPMAT: A pipeline for extracting tissue-specific spectral profiles from 1H MR spectroscopic imaging data. Neuroimage 277, 120235 (2023).
Processing scripts:
https://github.com/martin3141/slipmat_paper
DOI: 10.5281/zenodo.8429961
title: V2X measurement on M0 motorway with 4 vehicles

description: V2X data collection under real world conditions.
Applicability of this dataset:

V2X traffic analysis (for research and application development purposes)
Comparison of unsecured and PKI-authenticated 802.11p-based V2X communication (ITS-G5)
Location: Hungary, Budapest + M0 motorway (ringroad around Budapest)
Date: 19th May 2023
Test participants:

Budapest University of Technology and Economics

Faculty of Transportation Engineering and Vehicle Engineering

Department of Automotive Technologies - BME Automated Drive Lab
Department of Control for Transportation and Vehicle Systems - BME Traffic Lab
Faculty of Electrical Engineering and Informatics

Department Of Telecommunications and Media Informatics
Microsec Ltd. (PKI provider)
Communication hardware: 4x Cohda Wireless MK5 OBUs (2 vehicles with PKI-on, 2 vehicles with PKI-off) with default settings
V2X stack : Cohda Wireless ETSI stack (Physical layer: ITS-G5)
Security stack: Microsec V2X PKI
Weather and road conditions: Clear and sunny weather, dry road
The datasets includes information on:

Decoded received and transmitted V2X messages (secured and not secured GeoNetworking packets)

Rx.json – includes all received V2X messages by that specific host vehicle (CAM, DENM) also including RSU messages (CAM, DENM, MAPEM, SPaTEM, IVIM)
Tx.json – includes all transmitted V2X awareness messages by that specific host vehicle (CAM, DENM)
Protocol stack (encapsulated in messages)

PHY layer (ITS-G5 parameters): channel number (CCH/SCH), MCS, Rx power, Rx noise
MAC layer: Ethernet header
Network layer: GeoNetworking header
Transport layer: Basic Transport Protocol (BTP)
Facilities layer: ETSI ITS (e.g. CAM, DENM etc.)
Measurement sections:

Section 1 (Budapest -> M0)
Section 2 (M0 motorway ring)
Section 3 (M0 -> Budapest)
DOI: 10.5281/zenodo.8429962
title: V2X measurement on M0 motorway with 4 vehicles

description: V2X data collection under real world conditions.
Applicability of this dataset:

V2X traffic analysis (for research and application development purposes)
Comparison of unsecured and PKI-authenticated 802.11p-based V2X communication (ITS-G5)
Location: Hungary, Budapest + M0 motorway (ringroad around Budapest)
Date: 19th May 2023
Test participants:

Budapest University of Technology and Economics

Faculty of Transportation Engineering and Vehicle Engineering

Department of Automotive Technologies - BME Automated Drive Lab
Department of Control for Transportation and Vehicle Systems - BME Traffic Lab
Faculty of Electrical Engineering and Informatics

Department Of Telecommunications and Media Informatics
Microsec Ltd. (PKI provider)
Communication hardware: 4x Cohda Wireless MK5 OBUs (2 vehicles with PKI-on, 2 vehicles with PKI-off) with default settings
V2X stack : Cohda Wireless ETSI stack (Physical layer: ITS-G5)
Security stack: Microsec V2X PKI
Weather and road conditions: Clear and sunny weather, dry road
The datasets includes information on:

Decoded received and transmitted V2X messages (secured and not secured GeoNetworking packets)

Rx.json – includes all received V2X messages by that specific host vehicle (CAM, DENM) also including RSU messages (CAM, DENM, MAPEM, SPaTEM, IVIM)
Tx.json – includes all transmitted V2X awareness messages by that specific host vehicle (CAM, DENM)
Protocol stack (encapsulated in messages)

PHY layer (ITS-G5 parameters): channel number (CCH/SCH), MCS, Rx power, Rx noise
MAC layer: Ethernet header
Network layer: GeoNetworking header
Transport layer: Basic Transport Protocol (BTP)
Facilities layer: ETSI ITS (e.g. CAM, DENM etc.)
Measurement sections:

Section 1 (Budapest -> M0)
Section 2 (M0 motorway ring)
Section 3 (M0 -> Budapest)
DOI: 10.6084/m9.figshare.24647883
title: COVID-19 vaccine sentiment on Twitter

description: From 24 January to 31 July in 2021, we collected data that anyone can view on Twitter by using the free Twitter API. By using the keywords “vaccine”, “vaccination”, “vaccinated”, “vaxxer”, “vaxxers”, “#CovidVaccine”, “covid denier”, “pfizer”, “moderna”, “astra” and “zeneca”, “sinopharm”, “sputnik”, we collected 33K tweets published by popular Twitter accounts. For each tweet, the following variables were recorded: their author (user ID), the author's categorization (healthcare professional, news media source, other accounts with thousands of followers), the date of publication (to the precision of seconds), the vaccine mentioned, the language, and the general sentiment of the tweet text on a scale from 1 to 5. For multilingual sentiment analysis, we used an open-source BERT model from Huggingface (https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment). When multiple vaccines are mentioned in a tweet, in our data, it is recorded as multiple tweets, one for each vaccine.<br><br>To uphold the privacy policy for publishing Twitter data, the tweet texts, as well as the original user identifiers for the authors of the tweets, are not disclosed. Instead, we encoded the user information with random integers. To access the complete content of these tweets, researchers may utilize the Twitter search API by referencing the provided tweet identifiers.
DOI: 10.5281/zenodo.10211385
title: Dataset for "Heatwave reveals potential for enhanced aerosol formation in Siberian boreal forest"

description: This dataset supplements the manuscript "Heatwave reveals potential for enhanced aerosol formation in Siberian boreal forest", Environmental Research Letters, 2023.
DOI: 10.5281/zenodo.10211386
title: Dataset for "Heatwave reveals potential for enhanced aerosol formation in Siberian boreal forest"

description: This dataset supplements the manuscript "Heatwave reveals potential for enhanced aerosol formation in Siberian boreal forest", Environmental Research Letters, 2023.
DOI: 10.6084/m9.figshare.24638799
title: <b>Rat Head Duck Neck Weibo Topic Data</b>

description: <b>Disclaimer: This data is only for academic research and is not intended for commercial or other purposes. If you want to cite this data, please apply to the author for approval first.</b>In order to explore the evolution of online public opinion on the rat-headed duck-neck incident in universities in Jiangxi, China, the keyword "rat-headed duck neck" was entered on the Weibo page and Python software was used to capture data. The crawling time is July 1, which can effectively ensure that the Weibo topic data is crawled, so that the Internet public opinion of the Rat Head and Duck Neck incident can be completely reproduced. The "Rat Head and Duck Neck" incident occurred on June 1, 2023. After experiencing many turning points, public opinion stabilized and gradually subsided by the end of June 2023. Therefore, this study limited the time range of data retrieval to June 1, 2023, to June 30, 2023. Finally, related data such as the number of Weibo posts, topics, content, forwarding volume, comments, likes, etc. were obtained.
DOI: 10.6084/m9.figshare.24638799.v1
title: Rat Head Duck Neck Weibo Topic Data

description: <b>Disclaimer: This data is only for academic research and is not intended for commercial or other purposes. If you want to cite this data, please apply to the author for approval first.</b>In order to explore the evolution of online public opinion on the rat-headed duck-neck incident in universities in Jiangxi, China, the keyword "rat-headed duck neck" was entered on the Weibo page and Python software was used to capture data. The crawling time is July 1, which can effectively ensure that the Weibo topic data is crawled, so that the Internet public opinion of the Rat Head and Duck Neck incident can be completely reproduced. The "Rat Head and Duck Neck" incident occurred on June 1, 2023. After experiencing many turning points, public opinion stabilized and gradually subsided by the end of June 2023. Therefore, this study limited the time range of data retrieval to June 1, 2023, to June 30, 2023. Finally, related data such as the number of Weibo posts, topics, content, forwarding volume, comments, likes, etc. were obtained.
DOI: 10.25934/pr00002364.0
title: Data Package for study.

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6084/m9.figshare.24647916
title: Appendix to IAWA 2269

description: <b>Table A1.</b> Wood anatomical traits for the plant species occurred in fynbos vegetation. This table can be accessed at<b>Table A2.</b><b> </b>Wood samples of Thymelaeaceae from the Cape Floristic Region examined in the present study.<b>Table A3.</b> Average values of wood anatomical traits for the plant genera occurred in fynbos vegetation.<b>Table A4</b>. Quantitative wood traits of some species from Israel maquis and batha estimated from the micrographs published by Fahn <i>et al</i>. (1986).
DOI: 10.6084/m9.figshare.24647916.v2
title: Appendix to IAWA 2269

description: <b>Table A1.</b> Wood anatomical traits for the plant species occurred in fynbos vegetation. This table can be accessed at<b>Table A2.</b><b> </b>Wood samples of Thymelaeaceae from the Cape Floristic Region examined in the present study.<b>Table A3.</b> Average values of wood anatomical traits for the plant genera occurred in fynbos vegetation.<b>Table A4</b>. Quantitative wood traits of some species from Israel maquis and batha estimated from the micrographs published by Fahn <i>et al</i>. (1986).
DOI: 10.6084/m9.figshare.24647916.v1
title: Appendix to IAWA 2269

description: <b>Table A1.</b> Wood anatomical traits for the plant species occurred in fynbos vegetation. This table can be accessed at<b>Table A2.</b><b> </b>Wood samples of Thymelaeaceae from the Cape Floristic Region examined in the present study.<b>Table A3.</b> Average values of wood anatomical traits for the plant genera occurred in fynbos vegetation.<b>Table A4</b>. Quantitative wood traits of some species from Israel maquis and batha estimated from the micrographs published by Fahn <i>et al</i>. (1985).
DOI: 10.6084/m9.figshare.24324034
title: <b>Agricultural Education Research Literature Data</b>

description: <b>Disclaimer: This data is only for academic research and is not intended for commercial or other purposes. If you want to cite this data, please apply to the author for approval first.</b>In order to better understand the current status of agricultural education topic research, two major databases, Web of Science and China National Knowledge Infrastructure, were selected. By selecting the core database and entering the keyword "agricultural education", the time will be until October 1, 2023. Then remove irrelevant data to obtain more complete data. Finally, we solemnly state that this data is only used for academic research and is not required for other commercial purposes.
DOI: 10.6084/m9.figshare.24324034.v2
title: <b>Agricultural Education Research Literature Data</b>

description: <b>Disclaimer: This data is only for academic research and is not intended for commercial or other purposes. If you want to cite this data, please apply to the author for approval first.</b>In order to better understand the current status of agricultural education topic research, two major databases, Web of Science and China National Knowledge Infrastructure, were selected. By selecting the core database and entering the keyword "agricultural education", the time will be until October 1, 2023. Then remove irrelevant data to obtain more complete data. Finally, we solemnly state that this data is only used for academic research and is not required for other commercial purposes.
DOI: 10.1285/i20356609v13i2p1180
title: U.S Audiences' Perceptions of Covid-19 and Conservative News Frames

description: During the early stages of the COVID-19 pandemic, U.S. conservative news downplayed the threat of the virus. Perceived risks of COVID-19 are an important factor in influencing citizens' willingness to comply with risk prevention measures. An online survey (N=269) of U.S. residents was conducted March 30 - April 1, 2020. We found that those who used partisan conservative news sources as their primary source of information about the virus were significantly less likely to view it as a threat, compared to those who cited Far Left, Center Left, and Center Right news sources. Politically conservative Far Right news audiences reported significantly lower estimates of their own COVID-19 risk, as well as that of their age group peers, the average person in the U.S., and the average senior citizen in the U.S.
DOI: 10.4228/zalf-qq16-t967
title: Wind erosion after steppe conversion in Kazakhstan: Data from mobile wind tunnel experiments

description: <p>Semi-arid regions of Central Asia suffer from wind erosion due to expanding steppe conversion and unsustainable farming practices. This dataset contains empirical data from a test site with loamy sand, where a mobile wind tunnel was used to assess the soil's erodibility under real conditions. Field experiments were conducted on different initial conditions that are typical for the most erosive time of the year: <br/>
- a bare surface with a cloddy structure after recent steppe conversion <br/>
- a weak crust on a plot with barley (<i>Hordeum vulgare</i> L.) <br/>
- a plot with loose material in the rows maize plants (<i>Zea mays</i> L.).  <br/>
Subsequently, different levels of mechanical stresses (low, moderate, high) were considered to analyze the effect of the disruptive forces soils experience during field cultivation on possible soil losses. <br/>
This data collection includes typical surface characteristics (pH, electrical conductivity, texture, soil organic carbon, soil moisture) along with erodible fraction (%) and roughness length (mm) from the topsoil layer (0-25 mm depth) measured before each wind tunnel experiment and resulting total soil loss (g/m2) (Part 1/5). It also contains the mass of aeolian sediments from different heights for each experimental run (Part 2/5). The dry aggregate size distribution (Part 3/5) determined by laser diffraction of aeolian sediments and natural depositions are also included. The topsoil, aeolian sediments, and natural depositions were analyzed for particle size distribution (Part 4/5) and soil organic carbon (Part 5/5). <br/>
The parent table (Part 0/5) contains the index of all tables forming this data collection. Related datasets are listed in the metadata element 'Related Identifier'. <br/>
<br/>
The supplement information details how the vertical distribution of the horizontal sediment loss was used to quantify wind erosion. Therefore, the sediment mass collected in the MWAC was related to the inlet area and the open floor area inside the mobile wind tunnel. Total soil loss (g/m<sup>2</sup>) was derived from semi-logarithmic regression by fitting the total mass of caught sediments (qz) at the height (z) to ln(z). <br/>
Dataset version 1.0 </p>
DOI: 10.5281/zenodo.6881020
title: Classification of tropical cyclone containing images using a convolutional neural network: performance and sensitivity to the learning dataset

description: NXTensor extraction library, experiment code, tropical cyclone and background images and their metadata generated from the meterological reanalysis ERA5 and MERRA-2 according to the HURDAT2 cyclone tracks. Version specifications: NXTensor: v0.3.3.10 Experiment code: v2.0.3 Image sets: v1
DOI: 10.5281/zenodo.7049450
title: Field measurements for estimating aboveground and woody debris biomass in Cajander larch forests of northeast Siberia

description: This dataset contains field measurements collected in the summer of 2019 within natural forest stands near Batamay (63.52º N, 129.42º E) and Yert (62.02º N, 125.79º E) towns, in the boreal forests of the Republic of Sakha (Russia). YA2019_plots.xlsx: characteristics of the forest stands. YA2019_tree_transects.xlsx: field measurements collected for estimates of aboveground tree biomass. YA2019_fwd_transects.xlsx: field inventory of fine woody debris (FWD) using the line-intersect method. YA2019_fwd_specific_gravity.xlsx: raw data from the water displacement method required to derive size-class-specific values of specific gravity for FWD. YA2019_fwd_diameters.xlsx: field measurements of FWD diameters for determination of size-class-specific values of mean squared diameter (MSD). The description of variables is provided in each excel file as a separate sheet.
DOI: 10.57703/ce-5cz7a
title: Ultrananocrystalline diamond (UNCD)

description: UNCD surface from

A. Gujrati, S.R. Khanal, L. Pastewka, T.D.B. Jacobs, "Combining TEM, AFM, and profilometry for quantitative topography characterization across all scales", ACS Appl. Mater. Interfaces 10(34), 29169-29178 (2018)
DOI: 10.57703/ce-8ppx5
title: Rough sphere

description: Example illustrating the contact of a rough sphere that behaves as a nominally flat rough surface at small normal forces while it follows the Hertzian theory of smooth spheres at large normal forces. 

This dataset is similar to the simulations in https://doi.org/10.1063/1.4950802

The topographies were generated with the following Python code:

```
from SurfaceTopography.Generation import fourier_synthesis
from SurfaceTopography.Special import make_sphere
import numpy as np

a0 = 1 # Pixel size

radius = 10000
n = 1024

hprms = 0.01

np.random.seed(0)
roughness = fourier_synthesis(
    (n, n),
    physical_sizes=(n, n),
    rms_slope=hprms,
    hurst=0.8,
    short_cutoff=4,
    long_cutoff=256
    )

sphere = make_sphere(radius, (n, n), (n, n), centre=(n // 2 + 1, n // 2 + 1 ), kind="paraboloid")

roughness.to_matrix(f"rough_flat.txt")
sphere.to_matrix(f"smooth_sphere.txt")

roughness._heights += sphere.heights()
roughness.to_matrix(f"rough_sphere.txt")
```
DOI: 10.6084/m9.figshare.14668593
title: A multiplex analysis of phonological and orthographic networks.

description: The study of natural language using a network approach has made it possible to characterize novel properties ranging from the level of individual words to phrases or sentences. A natural way to quantitatively evaluate similarities and differences between spoken and written language is by means of a multiplex network defined in terms of a similarity distance between words. Specifically, we use a multiplex representation of words based on orthographic or phonological similarity to evaluate their structure. Here we report that from the analysis of topological properties of networks, there are different levels of local and global similarity when comparing written vs. spoken structure across 12 natural languages from 4 language families. In particular, it is found that differences between the phonetic and written layers is markedly higher for French and English, while for the other languages analyzed, this separation is relatively smaller. We conclude that the multiplex approach multiplex approach allows us to explore additional properties of the interaction between spoken and written language.