cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/ptv5-6125
title: DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset

description: This dataset is associated with the paper entitled "DeepWiPHY: Deep Learning-Based IEEE 802.11ax Receiver". It has synthetic and real-word IEEE 802.11ax OFDM symbols. The synthetic dataset has around 110 million OFDM symbols and the real-world dataset has more than 14 million OFDM symbols. Our comprehensive synthetic dataset has specifically considered typical indoor channel models and RF impairments. The real-world dataset was collected under a wide range of signal-to-noise ratio (SNR) levels and at various locations in a large office. To create this real-world dataset, we built a passive sniffing-based data collection testbed with a commercial AP, a Samsung mobile phone and two USRPs.
DOI: 10.5281/zenodo.3738982
title: Twitter dataset used in the paper: New discourses of masculinity in the context of online misogyny in Spain: the use of the "feminazi" concept on Twitter

description: Twitter dataset (in spanish) retrieved from 2019-04-04 to 2019-04-09 scraping a sample of two hashtags: #feminazi and #ideologiadegenero File codification: Codification: Western Europe (Windows-1252/WinLatin 1)<br> Field delimiter: ;<br> String delimiter: ""
DOI: 10.5281/zenodo.3738981
title: Twitter dataset used in the paper: New discourses of masculinity in the context of online misogyny in Spain: the use of the "feminazi" concept on Twitter

description: Twitter dataset (in spanish) retrieved from 2019-04-04 to 2019-04-09 scraping a sample of two hashtags: #feminazi and #ideologiadegenero File codification: Codification: Western Europe (Windows-1252/WinLatin 1)<br> Field delimiter: ;<br> String delimiter: ""
DOI: 10.5281/zenodo.3738992
title: Coda Data for Southeastern Korea

description: Data, ascii format and using R code, was separated directories for DAT1 and DAT2, which use different R software.
DOI: 10.5281/zenodo.3738993
title: Coda Data for Southeastern Korea

description: Data, ascii format and using R code, was separated directories for DAT1 and DAT2, which use different R software.
DOI: 10.7910/dvn/k8e5qr/cdkf8o
title: Favipiravir.txt

description: Favipiravir DFT B3LYP 6-311G(d) energy minimum output data.
DOI: 10.7910/dvn/k8e5qr/oo9vw2
title: Chloroquine.txt

description: Chloroquine PM3 energy minimum output data.
DOI: 10.7910/dvn/k8e5qr/fap8hv
title: COVID-19_Med_Chem.doc

description: Article.
DOI: 10.7910/dvn/k8e5qr/ongirs
title: COVID-19_Med_Chem.pdf

description: Article.
DOI: 10.6084/m9.figshare.12073437.v1
title: Epigenetics_processing.zip

description: See README.md
DOI: 10.5519/qd.6d0qrm68
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1481 records)
DOI: 10.5281/zenodo.3739046
title: Transcriptome and Metabolome Reprogramming in Tomato Plants by Trichoderma Harzianum strain T22 Primes and Enhances Defense Responses Against Aphids

description: <strong>Figure 1</strong> Effect of <em>T. harzianum</em> T22 on aphid survival over time. Survival curves (percentage) of <em>M. euphorbiae</em> reared on the untreated water control and the <em>T. harzianum</em> T22 treated tomato plants are significantly different, <em>p</em> &lt; 0.05 (LogRank test). For the aphid longevity assay, 10 plants for each CTRL or T22 treatment were infested with 5 newly born first instar nymphs of <em>M. euphorbiae</em>. The presence of aphids and of shed exuviae, as an indicator of molting occurrence, was daily monitored. Survival curves were compared by LogRank analysis.
DOI: 10.5281/zenodo.3739047
title: Transcriptome and Metabolome Reprogramming in Tomato Plants by Trichoderma Harzianum strain T22 Primes and Enhances Defense Responses Against Aphids

description: <strong>Figure 1</strong> Effect of <em>T. harzianum</em> T22 on aphid survival over time. Survival curves (percentage) of <em>M. euphorbiae</em> reared on the untreated water control and the <em>T. harzianum</em> T22 treated tomato plants are significantly different, <em>p</em> &lt; 0.05 (LogRank test). For the aphid longevity assay, 10 plants for each CTRL or T22 treatment were infested with 5 newly born first instar nymphs of <em>M. euphorbiae</em>. The presence of aphids and of shed exuviae, as an indicator of molting occurrence, was daily monitored. Survival curves were compared by LogRank analysis.
DOI: 10.5281/zenodo.3697914
title: Raw data for the manuscript under the title "Mitochondrial RNA granules are fluid condensates, positioned by membrane dynamics".

description: <strong>This is the data-repository</strong> to contain all relevant raw-data used and referred to in the manuscript entitled:<br> "Mitochondrial RNA granules are fluid condensates, positioned by membrane dynamics"<br> [manuscript under revision, and thus not citable as published article] The repository is structured analogous to the manuscript and holds the data for: <strong>Figure 1</strong>: 1-colour STORM data, 2-colour STORM data<br> What should be considered the raw-data for SMLM-studies is a matter of debate. While the localisation-software as well as the specified parameters used therein can greatly influence the final analysis, in principle all raw-images should be provided as raw-data. However, this would result in excessive data-volumes required for our study. We therefore decided to upload only raw-localisations here. Raw image-stacks can be provided upon reasonable request to the authors directly.<br> For all<strong> 1C-STORM</strong> acquisitions, Alexa-647 was used and localisations were extracted from raw images using sCMOS adapted software [Huang F. et al., Video-rate nanoscopy using sCMOS camera-specific single-molecule localization algorithms <em>Nat Methods</em> 7, 654:658, doi:10.1038/nmeth.2488 (2013)] as previously described here: Douglass, K. M. et al. Super-resolution imaging of multiple cells by optimised flat-field epi-illumination. <em>Nat Photonics 10</em>, 705–708, doi:10.1038/nphoton.2016.200 (2016), and here: Sieben, C. et al. Multicolor single-particle reconstruction of protein complexes.<em> Nat Methods</em> 15, 777–780, doi:10.1038/s41592-018-0140-x (2018). We used <strong>kernel-sizes = 3, 7, and 3</strong> for all data & the <strong>threshold 40</strong> for BrU-data and<strong> threshold = 100</strong> for all other data-sets.<br> In<strong> 2C-STORM,</strong> BrU-localisations were generated analogous to 1C, while FASTKD2 was labelled with dyLight 755 secondary antibodies. Here, the<strong> kernel-sizes </strong>were set to<strong> 3, 7, 3 and thresold = 27</strong> for data acquired in 2018, whereas the more recent data was found to be less bright at the same microscope-settings and thus the localisation parameters for late 2019 & early 2020 data were set to <strong>3, 5, 3 for kernel</strong> sizes and <strong>10 as a threshold</strong>-value. Figure 2: FRAP- and live-cell SIM-data Figure 3 & 4: EM-, STED-, and SIM-data
description: We are currently updating the files for re-submission. Beware of changes in the file-structure and content.
DOI: 10.5281/zenodo.3727571
title: Geochemical data for fluids collected in Acoculco Geothermal Field

description: The dataset <strong>CO<sub>2</sub>_flux_measurements_Acoculco </strong>contains data on CO<sub>2</sub> fluxes, coordinates (UTM), air temperature, atmospheric pressure measured in selected sites belonging to the Acoculco Geothermal Field: in particular, the areas named Lagunilla, Alcaparrosa, Los Azufres and also the area between them were investigated. CO<sub>2</sub> flux measurements were performed using the accumulation chamber method. The dataset <strong>Field_meas_Acoculco_waters</strong> reports the ID, coordinates (UTM), Altitude (m.a.s.l.), temperature, flow rate, pH, Electrical Conductivity and Dissolved Oxygen for water samples collected in the central sector of the Acoculco geothermal field, but also in other sectors located inside and outside the Acoculco caldera. Total depth is also included for samples collected from water wells. The dataset <strong>Chemical_isotopic_data_Acoculco_waters</strong> reports major and minor chemical components and stable isotopic composition for hydrogen and oxygen determined in collected water samples in Acoculco geothermal field. Calculated partial pressures (in bars and log<sub>10</sub>-value) and CO<sub>2</sub> concentrations of dissolved CO<sub>2</sub> were also included. The dataset <strong>Chemical_isotopic_data_Acoculco_gas </strong>reports chemical and isotopic data for collected samples from Los Azufres and Alcaparrosa natural gas manifestations.
DOI: 10.5281/zenodo.3727572
title: Geochemical data for fluids collected in Acoculco Geothermal Field

description: The dataset <strong>CO<sub>2</sub>_flux_measurements_Acoculco </strong>contains data on CO<sub>2</sub> fluxes, coordinates (UTM), air temperature, atmospheric pressure measured in selected sites belonging to the Acoculco Geothermal Field: in particular, the areas named Lagunilla, Alcaparrosa, Los Azufres and also the area between them were investigated. CO<sub>2</sub> flux measurements were performed using the accumulation chamber method. The dataset <strong>Field_meas_Acoculco_waters</strong> reports the ID, coordinates (UTM), Altitude (m.a.s.l.), temperature, flow rate, pH, Electrical Conductivity and Dissolved Oxygen for water samples collected in the central sector of the Acoculco geothermal field, but also in other sectors located inside and outside the Acoculco caldera. Total depth is also included for samples collected from water wells. The dataset <strong>Chemical_isotopic_data_Acoculco_waters</strong> reports major and minor chemical components and stable isotopic composition for hydrogen and oxygen determined in collected water samples in Acoculco geothermal field. Calculated partial pressures (in bars and log<sub>10</sub>-value) and CO<sub>2</sub> concentrations of dissolved CO<sub>2</sub> were also included. The dataset <strong>Chemical_isotopic_data_Acoculco_gas </strong>reports chemical and isotopic data for collected samples from Los Azufres and Alcaparrosa natural gas manifestations.
DOI: 10.21227/7k2q-aa40
title: Corona Virus (COVID-19) Tweets Dataset

description: Tweets Counter: 17,100,641This dataset includes CSV files which contain the tweet IDs. The tweets have been collected by the LSTM model deployed here at sentiment.live. The model monitors the real-time Twitter feed for corona virus-related tweets. As per the Twitter Developer Policy, it is not possible for me to provide information other than the Tweet IDs (this dataset has been completely re-designed on March 20, 2020, to comply with data sharing policies set by Twitter). Note: This dataset should be solely used for non-commercial research purpose (ignore every other LICENSE category given in this page).Schema of the CSV files: First column: tweet ID, Second column: Sentiment score for the particular tweet.Files details (Tweets collected in GMT+0; Local time mentioned below: GMT+5:45):corona_tweets_01.csv: 831,327 tweets (March 20, 2020 01:37 AM - March 20, 2020 10:28 AM)corona_tweets_02.csv: 870,924 tweets (March 20, 2020 10:31 AM - March 20, 2020 09:43 PM)corona_tweets_03.csv: 773,729 tweets (March 20, 2020 09:49 PM - March 21, 2020 09:25 AM)corona_tweets_04.csv: 1,233,340 tweets (March 21, 2020 09:27 AM - March 22, 2020 07:46 AM)corona_tweets_05.csv: 1,782,157 tweets (March 22, 2020 07:50 AM - March 23, 2020 09:08 AM)corona_tweets_06.csv: 1,771,295 tweets (March 23, 2020 09:11 AM - March 24, 2020 11:35 AM)corona_tweets_07.csv: 1,479,651 tweets (March 24, 2020 11:42 AM - March 25, 2020 11:43 AM)corona_tweets_08.csv: 1,272,592 tweets (March 25, 2020 11:47 AM - March 26, 2020 12:46 PM)corona_tweets_09.csv: 1,091,429 tweets (March 26, 2020 12:51 PM - March 27, 2020 11:53 AM)corona_tweets_10.csv: 1,172,013 tweets (March 27, 2020 11:56 AM - March 28, 2020 01:59 PM)corona_tweets_11.csv: 1,141,210 tweets (March 28, 2020 02:03 PM - March 29, 2020 04:01 PM)----- March 29, 2020 04:05 PM - March 30, 2020 12:30 PM -- Some folk(s) messed around with the server. Tweets for this period won't be available. However, I'll be continuing adding the new Tweet IDs. Some preventive measures have been taken. Sorry for the inconvenience. -----corona_tweets_12.csv: 793,417 tweets. (March 30, 2020 02:01 PM - March 31, 2020 10:16 AM)corona_tweets_13.csv: 1,029,294 tweets (March 31, 2020 10:20 AM - April 01, 2020 10:59 AM)corona_tweets_14.csv: 920,076 tweets (April 01, 2020 11:02 AM - April 02, 2020 12:19 PM)corona_tweets_15.csv: 826,271 tweets (April 02, 2020 12:21 PM - April 03, 2020 02:38 PM)To make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [1] has been appended as the second column. New databases will be added to this dataset every day. Bookmark this page for further updates. [1] https://textblob.readthedocs.io/en/dev/
DOI: 10.5255/ukda-sn-854203
title: Data from a smartphone app for improving mental health through urban nature 2016-2019
DOI: 10.5258/soton/d1303
title: Dataset for Effect of Cavity Flow Control on High Speed Train Pantograph and Roof Aerodynamic Noise

description: Dataset suppports: Kim, H., Hu, Z., & Thompson, D. (2020). Effect of Cavity Flow Control on High Speed Train Pantograph and Roof Aerodynamic Noise. Railway Engineering Science.
DOI: 10.5523/bris.1ga60qdfpvsil2ogxvaq14d6ht
title: Data accompanying Publication on TiSe2 magnetotransport study
title: TiSe2 magnetotransport data

description: Raw data for magnetotransport and quantum oscillation measurements to be made publically available. This data is underlying the forthcoming publication on TiSe2.
DOI: 10.21227/c8ew-r829
title: Corona Virus (COVID-19) Tweets Dataset

description: Tweets Counter: 17,100,641This dataset includes CSV files which contain the tweet IDs. The tweets have been collected by the LSTM model deployed here at sentiment.live. The model monitors the real-time Twitter feed for corona virus-related tweets. As per the Twitter Developer Policy, it is not possible for me to provide information other than the Tweet IDs (this dataset has been completely re-designed on March 20, 2020, to comply with data sharing policies set by Twitter). Note: This dataset should be solely used for non-commercial research purpose (ignore every other LICENSE category given in this page).Schema of the CSV files: First column: tweet ID, Second column: Sentiment score for the particular tweet.Files details (Tweets collected in GMT+0; Local time mentioned below: GMT+5:45):corona_tweets_01.csv: 831,327 tweets (March 20, 2020 01:37 AM - March 20, 2020 10:28 AM)corona_tweets_02.csv: 870,924 tweets (March 20, 2020 10:31 AM - March 20, 2020 09:43 PM)corona_tweets_03.csv: 773,729 tweets (March 20, 2020 09:49 PM - March 21, 2020 09:25 AM)corona_tweets_04.csv: 1,233,340 tweets (March 21, 2020 09:27 AM - March 22, 2020 07:46 AM)corona_tweets_05.csv: 1,782,157 tweets (March 22, 2020 07:50 AM - March 23, 2020 09:08 AM)corona_tweets_06.csv: 1,771,295 tweets (March 23, 2020 09:11 AM - March 24, 2020 11:35 AM)corona_tweets_07.csv: 1,479,651 tweets (March 24, 2020 11:42 AM - March 25, 2020 11:43 AM)corona_tweets_08.csv: 1,272,592 tweets (March 25, 2020 11:47 AM - March 26, 2020 12:46 PM)corona_tweets_09.csv: 1,091,429 tweets (March 26, 2020 12:51 PM - March 27, 2020 11:53 AM)corona_tweets_10.csv: 1,172,013 tweets (March 27, 2020 11:56 AM - March 28, 2020 01:59 PM)corona_tweets_11.csv: 1,141,210 tweets (March 28, 2020 02:03 PM - March 29, 2020 04:01 PM)----- March 29, 2020 04:05 PM - March 30, 2020 12:30 PM -- Some folk(s) messed around with the server. Tweets for this period won't be available. However, I'll be continuing adding the new Tweet IDs. Some preventive measures have been taken. Sorry for the inconvenience. -----corona_tweets_12.csv: 793,417 tweets. (March 30, 2020 02:01 PM - March 31, 2020 10:16 AM)corona_tweets_13.csv: 1,029,294 tweets (March 31, 2020 10:20 AM - April 01, 2020 10:59 AM)corona_tweets_14.csv: 920,076 tweets (April 01, 2020 11:02 AM - April 02, 2020 12:19 PM)corona_tweets_15.csv: 826,271 tweets (April 02, 2020 12:21 PM - April 03, 2020 02:38 PM)To make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [1] has been appended as the second column. New databases will be added to this dataset every day. Bookmark this page for further updates. [1] https://textblob.readthedocs.io/en/dev/
DOI: 10.5258/soton/d1304
title: Dataset for Numerical Investigation of the Effect of Cavity Flow on High Speed Train Pantograph Aerodynamic Noise

description: Dataset supporting: Kim, H., Hu, Z., & Thompson, D. (2020). Numerical Investigation of the Effect of Cavity Flow on High Speed Train Pantograph Aerodynamic Noise . Journal of Wind Engineering and Industrial Aerodynamics.
DOI: 10.5281/zenodo.3739073
title: Trichoderma atroviride P1 Colonization of Tomato Plants Enhances Both Direct and Indirect Defense Barriers Against Insects

description: <strong>FIGURE 1</strong> Survival rate of <em>S. littoralis</em> larvae, from 3rd instar (time 0) to pupation, reared on tomato leaves obtained from plants treated with <em>Trichoderma atroviride</em> P1 or untreated control plants. Asterisk indicates that the two survival curves are significantly different (LogRank test, <em>P</em> = 0.0027). <strong>FIGURE 3</strong> Survival of <em>Macrosiphum euphorbiae</em> reared on tomato plants treated with <em>T. atroviride</em> P1 or untreated control plants. Asterisk indicates that the two survival curves are significantly different (LogRank test, <em>P</em> = 0.0012). <strong>FIGURE 4</strong> Flight behavior of <em>Aphidius ervi</em> females (%) toward tomato plants inoculated with <em>T. atroviride</em> P1 and untreated controls. Asterisk indicates a significant difference, assigned by <em>G</em> test for independence (<em>P</em> &lt; 0.001). <strong>TABLE 1</strong> GC-MS detection of VOCs released by tomato plants obtained from seeds untreated (Control) and treated with <em>Trichoderma atroviride</em> strain P1.
DOI: 10.5281/zenodo.3739072
title: Trichoderma atroviride P1 Colonization of Tomato Plants Enhances Both Direct and Indirect Defense Barriers Against Insects

description: <strong>FIGURE 1</strong> Survival rate of <em>S. littoralis</em> larvae, from 3rd instar (time 0) to pupation, reared on tomato leaves obtained from plants treated with <em>Trichoderma atroviride</em> P1 or untreated control plants. Asterisk indicates that the two survival curves are significantly different (LogRank test, <em>P</em> = 0.0027). <strong>FIGURE 3</strong> Survival of <em>Macrosiphum euphorbiae</em> reared on tomato plants treated with <em>T. atroviride</em> P1 or untreated control plants. Asterisk indicates that the two survival curves are significantly different (LogRank test, <em>P</em> = 0.0012). <strong>FIGURE 4</strong> Flight behavior of <em>Aphidius ervi</em> females (%) toward tomato plants inoculated with <em>T. atroviride</em> P1 and untreated controls. Asterisk indicates a significant difference, assigned by <em>G</em> test for independence (<em>P</em> &lt; 0.001). <strong>TABLE 1</strong> GC-MS detection of VOCs released by tomato plants obtained from seeds untreated (Control) and treated with <em>Trichoderma atroviride</em> strain P1.
DOI: 10.17632/sstjw74ryh.1
title: ETo-Brazil: A daily gridded reference evapotranspiration dataset for Brazil - Repository

description: Shortname: ETo-Brazil Longname: Gridded reference evapotranspiration for Brazil based on machine learning - 1-Day 0.1 degree x 0.1 degree v1 DOI: 10.17632/sstjw74ryh.1 Version: 01 Format: TIFF Spatial Coverage: -74.00, -34.79, -33.74, 5.27 -- (xmin, xmax, ymin, ymax) Temporal Coverage: 2000-06-01 to 2018-12-31 File Size: ~0.5 MB per file Coordinate Reference System: WGS 84 - Geodetic coordinate system for World (EPSG: 4326) Data Resolution Spatial: 0.1° x 0.1° (rougly ~10 x 10 km) Temporal: 1-Day Highlights: - The grid cells of the ETo-Brazil matches the grid cells from the Global Precipitation Measurement data (position and resolution). - The overall root mean square error (RMSE) of this dataset (using weather stations as observed data) is 0.65 mm/day. This is an improvement on earlier attempts to map ETo using interpolation and geostatistics.
DOI: 10.5284/1074901
title: Land at 77 Bristol Road, Quedgeley, Gloucester. Archaeological Evaluation (OASIS ID: cotswold2-342329)

description: An archaeological evaluation was undertaken by Cotswold Archaeology in October and November 2018 on land at 77 Bristol Road, Quedgeley, Gloucester. Two trenches were excavated. A Roman gully and pit were identified within the east of the site. A post-medieval pond was also recorded in the west of the site, correlating to historic cartographic sources.
DOI: 10.5281/zenodo.3739050
title: Supposed "snake specialist" consumes monitor lizards: diet and trophic implications of king cobra feeding ecology

description: King cobra predation events on <em>Varanus nebulosus. </em>Included: photographic evidence of each event, king cobra biometric data from most recent measurements and location information. .csv file column headings: folderid: The Zenodo folder ID containing the photographic evidence of event. obvdate: Date of observation (yyyy-mm-dd) obvtime: Time of observation (24hr) snakeid: Unique ID given to individual king cobras captured svlmm: King cobra snout-to-vent length (mm) tlmm: King cobra tail length (mm) totalmm: King cobra total length (mm) massg: King cobra mass (g) easting: UTM easting (UTM Zone 47N; Datum WGS84) northing: UTM northing (UTM Zone 47N; Datum WGS84) gpsaccm: Accuracy of GPS location (m) notes: Comments on predation event
description: Research is supported by Wildlife Reserves Singapore and the National Science and Technology Development Agency (Thailand). We had ethical approval from the Suranaree University of Technology Ethics Committee (24/2560). All work was permitted by the National Park, Wildlife and Plant Conservation Department, Thailand and the National Research Council of Thailand (98/59; 20/62).
DOI: 10.5281/zenodo.3739051
title: Supposed "snake specialist" consumes monitor lizards: diet and trophic implications of king cobra feeding ecology

description: King cobra predation events on <em>Varanus nebulosus. </em>Included: photographic evidence of each event, king cobra biometric data from most recent measurements and location information. .csv file column headings: folderid: The Zenodo folder ID containing the photographic evidence of event. obvdate: Date of observation (yyyy-mm-dd) obvtime: Time of observation (24hr) snakeid: Unique ID given to individual king cobras captured svlmm: King cobra snout-to-vent length (mm) tlmm: King cobra tail length (mm) totalmm: King cobra total length (mm) massg: King cobra mass (g) easting: UTM easting (UTM Zone 47N; Datum WGS84) northing: UTM northing (UTM Zone 47N; Datum WGS84) gpsaccm: Accuracy of GPS location (m) notes: Comments on predation event
description: Research is supported by Wildlife Reserves Singapore and the National Science and Technology Development Agency (Thailand). We had ethical approval from the Suranaree University of Technology Ethics Committee (24/2560). All work was permitted by the National Park, Wildlife and Plant Conservation Department, Thailand and the National Research Council of Thailand (98/59; 20/62).