cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/b2mknzsd94.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-3)

description: Prostate transcriptome data
DOI: 10.17632/fbm7h4fyhn.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/5k3f8mw22y.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-1)

description: Prostate transcriptome data
DOI: 10.17632/9945b5fhk6.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 1)

description: Prostate transcriptome data
DOI: 10.17632/5fn3xw2bhv.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 3-6)

description: Prostate transcriptome data
DOI: 10.17632/pwrwdyy375.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 3-5)

description: Prostate transcriptome data
DOI: 10.17632/z82b3599tn.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 3-4)

description: Prostate transcriptome data
DOI: 10.17632/s6ypnpxk72.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 3-3)

description: Prostate transcriptome data
DOI: 10.17632/n3j6x74nb3.2
title: Rain drop size distribution

description: Rain drop size distribution measurements from a tropical site, Pune, India (JJAS, 2013-2015).
DOI: 10.17632/229trnmcfk.1
title: Data for: Characteristics and implications of isoprenoid and hydroxy tetraether lipids in hadal sediments of Mariana and Yap Trenches

description: Raw data of LC/MS presenting the result of peak area of each component in Iso-GDGT and OH-GDGT.
DOI: 10.17632/tmrs92j7pv.11
title: COVID-19: Time Series Datasets India versus World

description: This dataset consists of COVID-19 time series data of India since 24th March 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : nicresearchgroup@gmail.com) for more details. . [Dataset is updated Thrice a Week]
DOI: 10.17632/fgck8z7k7p.1
title: Grammatical Error Type Baseline Data

description: Investigated are four types of grammatical errors: subject–verb agreement, passive voice, English existential construction, and subordinate clauses.
DOI: 10.17632/smxz6dcr3d.2
title: Self-sensing active tool vibration control input signals
DOI: 10.17632/jzb468n3c2.3
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.
DOI: 10.17632/sxnc28fc4z.1
title: Free vibration frequencies of asymmetric sandwich plates

description: Raw data of free vibration frequencies of asymmetric sandwich plates.
DOI: 10.17632/nktv5xy357.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 3-2)

description: Prostate transcriptome data
DOI: 10.17632/f5nwfyhxk9.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 2 & section 3-1)

description: Prostate transcriptome data
DOI: 10.21227/sn3y-tf03
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about “corona”, "coronavirus", "covid", "pandemic", "quarantine", "ppe", "n95" along with different possible variants of: "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work from home" and their respective hashtags.. 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: 10.17632/swgn6tgxd5.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 997270T section 1)

description: Prostate transcriptome data
DOI: 10.17632/46pp348k46.4
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/s9mr8cfd8x.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 99678T )

description: Prostate transcriptome data
DOI: 10.21227/c0cm-ey24
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about “corona”, "coronavirus", "covid", "pandemic", "quarantine", "ppe", "n95" along with different possible variants of: "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work from home" and their respective hashtags.. 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: 10.17632/3jwjd7gt3p.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample IB273T )

description: Prostate transcriptome data
DOI: 10.17632/5ktkmnnmz3.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB426T section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/dy982whx3b.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB426T section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/rcpfg4wx7t.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP09S0704T section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/vm3vpxmjbg.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP09S0704T section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/z6s5hbc4tf.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP09S0420T section 1-3)

description: Prostate transcriptome data
DOI: 10.17632/3f284s9ztk.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP09S0420T section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/gbkjtcmgcj.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR375T section 1-3)

description: Prostate transcriptome data
DOI: 10.17632/s44c36rxnj.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP09S0420T section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/x4n3z7j5n7.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR375T section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/nk6mp9ydfk.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR375T section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/fgwzyw34v2.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB591T section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/sxrt6cgfjh.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB591T section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/fnb3jg2485.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB021T section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/jv7xmmj78k.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR521T section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/p3skbzbrxj.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR521T section 1-2 & section 2-1)

description: Prostate transcriptome data
DOI: 10.17632/g5kyjybgxg.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB021T section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/tpnwr7fg8z.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB235T)

description: Prostate transcriptome data
DOI: 10.17632/wznxyw4nxv.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR521T section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/5xz43bhvtc.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample IB112T section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/d3cy7sjg2z.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample IB112T section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/w56kvp2nfh.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-5)

description: Prostate transcriptome data
DOI: 10.17632/n4d7mymn5c.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 1)

description: Prostate transcriptome data
DOI: 10.17632/xt4hn459fp.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB483T section 2)

description: Prostate transcriptome data
DOI: 10.17632/jr7fk92bb2.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample IB483T section 1)

description: Prostate transcriptome data
DOI: 10.17632/7gk8yjh69d.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-4)

description: Prostate transcriptome data
DOI: 10.17632/r3srrxnpkm.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB568T section 1)

description: Prostate transcriptome data
DOI: 10.17632/2752cd4968.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-3)

description: Prostate transcriptome data
DOI: 10.17632/xs5p5npjzz.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB207T section 3-4)

description: Prostate transcriptome data
DOI: 10.17632/jw2gkwwwng.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB207T section 2 & section 3-1)

description: Prostate transcriptome data
DOI: 10.17632/zjv62vx29h.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB207T section 3-2)

description: Prostate transcriptome data
DOI: 10.17632/5rb9sp9xz8.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/tgnfkxpn7n.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB174T section 3-5)

description: Prostate transcriptome data
DOI: 10.17632/fb59x46pdn.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB174T section 3-4)

description: Prostate transcriptome data
DOI: 10.17632/by5tpsf7yj.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB207T section 3-3)

description: Prostate transcriptome data
DOI: 10.17632/6576ynbtvc.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB568T section 2)

description: Prostate transcriptome data
DOI: 10.17632/m6hjdjsrgx.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB174T section 3-2)

description: Prostate transcriptome data
DOI: 10.17632/p7phgdts95.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB174T section 2)

description: Prostate transcriptome data
DOI: 10.17632/tshz3zw7w7.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB207T section 2)

description: Prostate transcriptome data
DOI: 10.17632/76sk4t9hkf.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB174T section 1)

description: Prostate transcriptome data
DOI: 10.17632/5rw8sxf9g7.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 9916464T)

description: Prostate transcriptome data
DOI: 10.17632/v8dsnt99gc.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB174T section 3-3)

description: Prostate transcriptome data
DOI: 10.17632/dmfm24py4h.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/njvkxf4m7x.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/rw2p53j2dj.5
title: Fusion Pten-NOLC1 Promotes C-Met and EGFR Signals in Human Cancers (Chip-Seq part1)

description: Prostate Chip-Seq data
DOI: 10.17632/jsghd3xxv4.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 995772T)

description: Prostate transcriptome data
DOI: 10.17632/fgm74n5nrx.5
title: Fusion Pten-NOLC1 Promotes C-Met and EGFR Signals in Human Cancers (Chip-Seq part 4)

description: Prostate Chip-Seq data
DOI: 10.17632/tpy74b58rm.5
title: Fusion Pten-NOLC1 Promotes C-Met and EGFR Signals in Human Cancers (Chip-Seq part 6)

description: Prostate Chip-Seq data
DOI: 10.17632/89pj8hgt4w.5
title: Fusion Pten-NOLC1 Promotes C-Met and EGFR Signals in Human Cancers (Chip-Seq part 3)

description: Prostate Chip-Seq data
DOI: 10.17632/wn9vffxx9g.5
title: Fusion Pten-NOLC1 Promotes C-Met and EGFR Signals in Human Cancers (Chip-Seq part 8)

description: Prostate Chip-Seq data
DOI: 10.17632/k8ynpz4dn5.5
title: Fusion Pten-NOLC1 Promotes C-Met and EGFR Signals in Human Cancers (Chip-seq part 7)

description: Prostate Chip-Seq data
DOI: 10.17632/447vzpstp4.5
title: Fusion Pten-NOLC1 Promotes C-Met and EGFR Signals in Human Cancers (Chip-Seq part 5)

description: Prostate Chip-Seq data
DOI: 10.17632/8bxy2hss6b.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB174T section 3-1)

description: Prostate transcriptome data.
DOI: 10.17632/thgf5wc65n.5
title: Fusion Pten-NOLC1 Promotes C-Met and EGFR Signals in Human Cancers (Chip-Seq part 2)

description: Prostate Chip-Seq data
DOI: 10.17632/khdf275tcv.4
title: Fusion Pten-NOLC1 Promotes C-Met and EGFR Signals in Human Cancers (Chip-Seq part 9)

description: Prostate Chip-Seq data
DOI: 10.17632/g8wwg7sczf.4
title: Fusion Pten-NOLC1 Promotes C-Met and EGFR Signals in Human Cancers (Chip-Seq part 10)

description: Prostate Chip-Seq data
DOI: 10.17632/6f9c39bz8x.4
title: Fusion Pten-NOLC1 Promotes C-Met and EGFR Signals in Human Cancers (Chip-Seq part 11)

description: Prostate Chip-Seq data
DOI: 10.21227/r2t7-x311
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 coronavirus-related tweets, using filters: language “en”, and keywords “corona”, "coronavirus", "covid", "pandemic", "quarantine", "ppe", "n95" along with different possible variants of: "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work from home" and their respective hashtags. 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: 10.17632/7h6pw45gnx.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB207T section 1)

description: Prostate transcriptome data