cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/s3fwg3p5x3.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample GB400T section 1-2 & 2-1)

description: Prostate transcriptome data
DOI: 10.17632/fgx2ch4mdj.6
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR300T)

description: Prostate transcriptome data
DOI: 10.17632/wtfsxrzhbd.7
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR306T)

description: Prostate transcriptome data
DOI: 10.17632/r7syzz3xkr.6
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP10S0638T)

description: Prostate transcriptome data
DOI: 10.17632/hxywjs5nv5.6
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0340T)

description: Prostate transcriptome data
DOI: 10.17632/bz9242f2k4.6
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0790T)

description: Prostate transcriptome data
DOI: 10.17632/php2g4knb2.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR079T section 1 & 2-1)

description: Prostate transcriptome data
DOI: 10.17632/cycjr3cb6w.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB340T section 2)

description: Prostate transcriptome data
DOI: 10.17632/xpgphpzg6r.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB340T section 1)

description: Prostate transcriptome data
DOI: 10.17632/g5pcfkdgkj.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample GB400T section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/7s3vrx6xjz.6
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR236T section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/3nbn6mm5sx.6
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR236T section 2-3)

description: Prostate transcriptome data
DOI: 10.17632/tvnxf88nwn.6
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR236T section 2-4)

description: Prostate transcriptome data
DOI: 10.17632/brnkfg229k.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample GB195T)

description: Prostate transcriptome data
DOI: 10.17632/kbhyndxvnc.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB033T)

description: Prostate transcriptome data
DOI: 10.17632/2z6z94p8xb.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB207AT)

description: Prostate transcriptome data
DOI: 10.17632/yrg9jpz3p7.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB305AT)

description: Prostate transcriptome data
DOI: 10.17632/xs2sphbtz6.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB46T)

description: Prostate transcriptome data
DOI: 10.17632/yp63pdb54j.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB526T)

description: Prostate transcriptome data
DOI: 10.17632/bm6xv2c3sk.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample IB134T)

description: Prostate transcriptome data
DOI: 10.17632/28sc4297tk.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170AT section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/p4vgc8jp4k.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample IB298T)

description: Prostate transcriptome data
DOI: 10.17632/8k5yvvb8yb.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170AT section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/37gt2vbw5h.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample LNcap)

description: Prostate transcriptome data
DOI: 10.17632/szh7gbjhjr.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR018T)

description: Prostate transcriptome data
DOI: 10.17632/wwy7g5mftp.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR018AT)

description: Prostate transcriptome data
DOI: 10.17632/ws8ggnn54h.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR236T section 1 & 2-1)

description: Prostate transcriptome data
DOI: 10.17632/7s3vrx6xjz.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR236T section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/3nbn6mm5sx.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR236T section 2-3)

description: Prostate transcriptome data
DOI: 10.17632/fgx2ch4mdj.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR300T)

description: Prostate transcriptome data
DOI: 10.17632/wtfsxrzhbd.6
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR306T)

description: Prostate transcriptome data
DOI: 10.17632/tvnxf88nwn.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR236T section 2-4)

description: Prostate transcriptome data
DOI: 10.17632/cycjr3cb6w.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB340T section 2)

description: Prostate transcriptome data
DOI: 10.17632/r7syzz3xkr.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP10S0638T)

description: Prostate transcriptome data
DOI: 10.17632/php2g4knb2.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR079T section 1 & 2-1)

description: Prostate transcriptome data
DOI: 10.17632/bz9242f2k4.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0790T)

description: Prostate transcriptome data
DOI: 10.17632/hxywjs5nv5.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0340T)

description: Prostate transcriptome data
DOI: 10.17632/xpgphpzg6r.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB340T section 1)

description: Prostate transcriptome data
DOI: 10.17632/g5pcfkdgkj.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample GB400T section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/4fbr8cwzsg.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample DU145 section 2-1)

description: Prostate transcriptome data
DOI: 10.17632/jh93tn6785.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample DU145 section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/d2w7d7dwwd.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB183T)

description: Prostate transcriptome data
DOI: 10.17632/38y53d7n75.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB421AT section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/rb24gr3pbb.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB421AT section 1-2 & section 2-1)

description: Prostate transcriptome data
DOI: 10.17632/5kvdps2683.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB421AT section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/n9ythxrm88.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample GB400T section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/s3fwg3p5x3.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample GB400T section 1-2 & 2-1)

description: Prostate transcriptome data
DOI: 10.17632/4h48v397zc.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample DU145 section 1)

description: Prostate transcriptome data
DOI: 10.17632/ypryjkmjx9.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D023 section 2)

description: Prostate transcriptome data
DOI: 10.17632/hr3hhhnvdv.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D023 section 1)

description: Prostate transcriptome data
DOI: 10.17632/pcznh6kzwx.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D022 section 1 & 2)

description: Prostate transcriptome data
DOI: 10.17632/8w9kh2n45n.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D014 section 1 & 2-1)

description: Prostate transcriptome data
DOI: 10.17632/djsdf4rk2f.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D011)

description: Prostate transcriptome data
DOI: 10.17632/f6g6crsprr.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D014 section 2-2 & 3)

description: Prostate transcriptome data
DOI: 10.17632/rgdg47rzzj.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D016 section 2-1)

description: Prostate transcriptome data
DOI: 10.17632/vpxvw6xpjz.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D016 section 1)

description: Prostate transcriptome data
DOI: 10.17632/xzjp6y4pz3.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D016 section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/66cfx3k9px.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D021 section 1)

description: Prostate transcriptome data
DOI: 10.17632/hhtybt9t3j.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D021 section 2)

description: Prostate transcriptome data
DOI: 10.17632/v4dcg34yst.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D012 section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/79j5ct52cz.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 9919425T section 1-2 & section 2-1)

description: Prostate transcriptome data
DOI: 10.17632/r6db53rv54.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 9919425T section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/dxx7kf5dwd.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 997270T section 2)

description: Prostate transcriptome data
DOI: 10.17632/c4dgfbrkv9.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 994308T section 1 & 2)

description: Prostate transcriptome data
DOI: 10.17632/3dbfd7wrdv.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 997270T section 1)

description: Prostate transcriptome data
DOI: 10.17632/f3ymxwc9yv.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 998741T section 1 & 2)

description: Prostate transcriptome data
DOI: 10.17632/hjcvrxf55x.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D012 section 1 & 2-1)

description: Prostate transcriptome data
DOI: 10.17632/cfhcfhthdf.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D008 section 2)

description: Prostate transcriptome data
DOI: 10.17632/h3z52v2pck.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D008 section 1)

description: Prostate transcriptome data
DOI: 10.17632/63vvxc3xvf.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D007 section 1 & 2)

description: Prostate transcriptome data
DOI: 10.17632/yfj5zt2wkf.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D003 section 2)

description: Prostate transcriptome data
DOI: 10.17632/cj4sznjw7w.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D003 section 1)

description: Prostate transcriptome data
DOI: 10.17632/357f736283.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D000 section 1 &2)

description: Prostate transcriptome data
DOI: 10.17632/93trw7fyw7.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 9919425T section 1-1)

description: Prostate transcriptome data
DOI: 10.21227/7v70-9p72
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords.. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).-------------------------------------------------------------------------Also: Coronavirus (COVID-19) Tweets Dataset (180+ Million English Language Tweets; ongoing collection)-------------------------------------------------------------------------Note: I started sharing the IDs of the tweets that had exact 'point' location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data)if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-june5.zip will contain tweet ID and sentiment score of the tweets (in CSV and JSON formats) that were created between April 28, 2020, and June 05, 2020.Why are only tweet IDs being shared? Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers always to pull fresh data. It is because a user might delete a tweet or make their profile protected. If the same tweet has already been pulled and shared on a public domain, it might make the user/community vulnerable to many inferences coming out of the shared data which currently does not exist or is private.
DOI: 10.21227/s9ky-q349
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).-------------------------------------------------------------------------Also: Coronavirus (COVID-19) Tweets Dataset (180+ Million English Language Tweets; ongoing collection)-------------------------------------------------------------------------Note: I started sharing the IDs of the tweets that had exact 'point' location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data)if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-june5.zip will contain tweet ID and sentiment score of the tweets (in CSV and JSON formats) that were created between April 28, 2020, and June 05, 2020.Why are only tweet IDs being shared? Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers always to pull fresh data. It is because a user might delete a tweet or make their profile protected. If the same tweet has already been pulled and shared on a public domain, it might make the user/community vulnerable to many inferences coming out of the shared data which currently does not exist or is private.
DOI: 10.21227/4r27-pv60
title: GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information

description: Abstract:The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disasters. These non-traditional data sources are becoming vital for disease forecasts and surveillance when preparing for epidemic and pandemic outbreaks. We present GeoCoV19, a large-scale Twitter dataset containing more than 524 million multilingual tweets posted over a period of 90 days since February 1, 2020. Moreover, we employ a gazetteer-based approach to infer the geolocation of tweets. We postulate that this large-scale, multilingual, geolocated social media data can empower the research communities to evaluate how societies are collectively coping with this unprecedented global crisis as well as to develop computational methods to address challenges such as identifying fake news, understanding communities' knowledge gaps, building disease forecast and surveillance models, among others. Full paper: https://arxiv.org/abs/2005.11177
DOI: 10.17632/g39mv8yp87.1
title: Draft Genome Sequence of Pseudocercospora cruenta (Sacc.) Deighton, causing Leaf Spot of Cowpea
DOI: 10.17632/2g3s8dttnb.1
title: Computationally Driven Discovery of Layered Quinary Oxychalcogenides: Potential p-Type Transparent Conductors?
DOI: 10.17632/g83593d5jc.3
title: Relationships between slope gradients and types of deposition on the four guyots

description: These data were obtained from 225 geological survey sites (205 shallow boreholes, and 20 TV grab samples) on slopes of the four guyots in the magellan seamounts. Of these sites, 42 are within Loose deposits on slopes with gradients between 0.4–5.5°, 20 are within Transition deposits(TS) on 3.6–6.0° slopes, 132 are cobalt-rich crust(CS) from slopes at 3.4–37.3°, and 31 are exposed rock(ER) on 15.1–43.7° slopes (Table). Slope gradients and depths of these sample locations were projected onto a scatter diagram. This figure indicates that a gradient of 4.8° maybe the threshold value that controls the distribution of the geologic components on the Magellan seamount slopes, with an error range of ±1.2°, equivalent to a depth error of 4.2m within the 200m horizontal distance. In the error range, twelve unconsolidated samples were misjudged as consolidated ones, i.e., a misjudgement rate of 7.4% (12/163), and six consolidated samples were misjudged as unconsolidated ones, i.e., a misjudgement rate of 14.3% (6/42). following table is Slope gradient statistical parameters for sampling locations on four Magellan guyots sediment types Gradients of slope ( o) Sum mean Minimum Maximum ER 31 24.4 15.1 43.7 Sediment1 CS 132 13.9 3.4 37.3 Sediment2 TS 20 4.8 3.6 6.0 Sediment3 LS 42 3.1 0.4 5.5 Total 225 13.3 0.4 43.7 The analysis in Table indicates that CS and ER are preferentially distributed on higher gradient slopes, LS are generally confined to low gradient slopes, and predictably TS are found on slopes with gradients between CS and LS. This implies that there is a range of gradient threshold value (a0) on a seamount slope which influences the type of deposition. custs01.csv for CS;Rock01.csv for exposed rock; sand01 for loose sediment; TS.csv for tansition zone sediment
DOI: 10.17632/wp4cd7x3yx.1
title: Data for: More Suffering, More Involvement? The Causal Effects of Seismic Disasters on Social Capital
DOI: 10.17632/smxz6dcr3d.1
title: Self-sensing active tool vibration control input signals
DOI: 10.17632/m7cngsdm8c.1
title: Vertical Gradient Variations in Radiation Budget and Heat Fluxes in the Urban Boundary Layer: A Comparison Study between Polluted and Clean Air Episodes in Beijing during Winter

description: flux data radiation data profile of day and night
DOI: 10.17632/hs82m5r54j.1
title: SARS-CoV-2 Ionophores

description: Raw data for SARS-CoV-2 inhibitors, polyether ionophores. Raw data includes CellTiter-Blue assay, cytopathy nuclei count and the following for morphological profiling: Full dose-response profiles and .R script to generate plots presented in the paper. plate00010_00013 is Vero E6 hTMPRSS2 cells plate00014_00017 is Vero E6 wild type cells Raw images for morphological profiling can be obtained upon request.
DOI: 10.17632/jzb468n3c2.2
title: 3D DFN model and steady state pumping simulation data

description: A randomly generated 3D discrete fracture networks (DFN) model with triangular mesh. It contains the randomly generated transmissivity fields used to study the multi-scales of hydraulic heterogeneity on steady-state pumping tests in sparsely fractured rocks. This is the simulation result from 'Inference of transmissivity in crystalline rock using flow-logs under steady-state pumping: Impact of multi-scale heterogeneity', submitted to Water Resources Research.