cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.809555.v2
title: Twitter and Political Talk Shows in Italy (2012/2013)

description: From 30th of August 2012 to 30th June 2013 we collected 2,489,669 observations by querying the Twitter Firehose for Tweets containing at last one of the following hashtags: #ballarò or #ballaro, #portaaporta, #agorarai, #ultimaparola, #serviziopubblico, #inmezzora, #infedele or #linfedele, #ottoemezzo, #omnibus, #inonda, #piazzapulita. All the selected hashtags are either official (e.g. advertised on the official Twitter channel of the program or during the TV show) or the most frequently used hashtag related to one of the eleven political talk shows aired by the Italian free-to-air broadcasters during season 2012/2013.<br>The dataset was acquired via DiscoverText GNIP importer. In other terms, this dataset is a complete collection of all the Tweets related to the political talk shows TV genre during the entire season 2012/2013. From this raw dataset we extracted 1,889,585 observations (76% of the whole dataset) corresponding to Tweets created during the airtime (plus 15 minutes) of each episode (N=1,077) of the shows. For each aired episode we extracted the following metrics: number of Tweets created during the airtime, the number or replies, reTweet and original Tweets - Tweet-(ReTweet+Reply) -, the number of unique contributors, the reach (total sum of followers for each non unique contributors), the average rate of Tweets (TPM) and contributors (CPM) per minute, the ratio between unique contributors and average audience. For each episode, we also collected the average audience and rating as estimated by Auditel. This fileset contains three datasets: 1. List of episodes with respective Twitter metrics and audicence rating; 2. Descriptive statistics for show; 3. List of peaks of Twitter activity during the season with respecitve labels and corresponding TV scene (see https://medium.com/next-media-society/60319348c61a for methodology).
DOI: 10.6084/m9.figshare.808605
title: 3D Geometry of Active Region Upflows

description: Additional content for Hinode 7 Poster
DOI: 10.6084/m9.figshare.808606.v2
title: Twitter activity and audience rating for episode

description: From 30th of August 2012 to 30th June 2013 we collected 2,489,669 observations by querying the Twitter Firehose for Tweets containing at last one of the following hashtags: #ballarò or #ballaro, #portaaporta, #agorarai, #ultimaparola, #serviziopubblico, #inmezzora, #infedele or #linfedele, #ottoemezzo, #omnibus, #inonda, #piazzapulita. All the selected hashtags are either official (e.g. advertised on the official Twitter channel of the program or during the TV show) or the most frequently used hashtag related to one of the eleven political talk shows aired by the Italian free-to-air broadcasters during season 2012/2013.<br>The dataset was acquired via DiscoverText GNIP importer. In other terms, this dataset is a complete collection of all the Tweets related to the political talk shows TV genre during the entire season 2012/2013. From this raw dataset we extracted 1,889,585 observations (76% of the whole dataset) corresponding to Tweets created during the airtime (plus 15 minutes) of each episode (N=1,077) of the shows. For each aired episode we extracted the following metrics: number of Tweets created during the airtime, the number or replies, reTweet and original Tweets - Tweet-(ReTweet+Reply) -, the number of unique contributors, the reach (total sum of followers for each non unique contributors), the average rate of Tweets (TPM) and contributors (CPM) per minute, the ratio between unique contributors and average audience. For each episode, we also collected the average audience and rating as estimated by Auditel. The process is described at https://medium.com/next-media-society/58d824ac26c6. A working paper with even more details is available at http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2306512.
DOI: 10.6084/m9.figshare.809555.v3
title: Twitter and Political Talk Shows in Italy (2012/2013)

description: From 30th of August 2012 to 30th June 2013 we collected 2,489,669 observations by querying the Twitter Firehose for Tweets containing at last one of the following hashtags: #ballarò or #ballaro, #portaaporta, #agorarai, #ultimaparola, #serviziopubblico, #inmezzora, #infedele or #linfedele, #ottoemezzo, #omnibus, #inonda, #piazzapulita. All the selected hashtags are either official (e.g. advertised on the official Twitter channel of the program or during the TV show) or the most frequently used hashtag related to one of the eleven political talk shows aired by the Italian free-to-air broadcasters during season 2012/2013.<br>The dataset was acquired via DiscoverText GNIP importer. In other terms, this dataset is a complete collection of all the Tweets related to the political talk shows TV genre during the entire season 2012/2013. From this raw dataset we extracted 1,889,585 observations (76% of the whole dataset) corresponding to Tweets created during the airtime (plus 15 minutes) of each episode (N=1,077) of the shows. For each aired episode we extracted the following metrics: number of Tweets created during the airtime, the number or replies, reTweet and original Tweets - Tweet-(ReTweet+Reply) -, the number of unique contributors, the reach (total sum of followers for each non unique contributors), the average rate of Tweets (TPM) and contributors (CPM) per minute, the ratio between unique contributors and average audience. For each episode, we also collected the average audience and rating as estimated by Auditel. This fileset contains three datasets: 1. List of episodes with respective Twitter metrics and audicence rating; 2. Descriptive statistics for show; 3. List of peaks of Twitter activity during the season with respecitve labels and corresponding TV scene (see https://medium.com/next-media-society/60319348c61a for methodology).4. Complete list of Twitter Ids in the dataset
DOI: 10.6084/m9.figshare.809555.v4
title: Twitter and Political Talk Shows in Italy (2012/2013)

description: From 30th of August 2012 to 30th June 2013 we collected 2,489,669 observations by querying the Twitter Firehose for Tweets containing at last one of the following hashtags: #ballarò or #ballaro, #portaaporta, #agorarai, #ultimaparola, #serviziopubblico, #inmezzora, #infedele or #linfedele, #ottoemezzo, #omnibus, #inonda, #piazzapulita. All the selected hashtags are either official (e.g. advertised on the official Twitter channel of the program or during the TV show) or the most frequently used hashtag related to one of the eleven political talk shows aired by the Italian free-to-air broadcasters during season 2012/2013.<br>The dataset was acquired via DiscoverText GNIP importer. In other terms, this dataset is a complete collection of all the Tweets related to the political talk shows TV genre during the entire season 2012/2013. From this raw dataset we extracted 1,889,585 observations (76% of the whole dataset) corresponding to Tweets created during the airtime (plus 15 minutes) of each episode (N=1,077) of the shows. For each aired episode we extracted the following metrics: number of Tweets created during the airtime, the number or replies, reTweet and original Tweets - Tweet-(ReTweet+Reply) -, the number of unique contributors, the reach (total sum of followers for each non unique contributors), the average rate of Tweets (TPM) and contributors (CPM) per minute, the ratio between unique contributors and average audience. For each episode, we also collected the average audience and rating as estimated by Auditel. This fileset contains three datasets: 1. List of episodes with respective Twitter metrics and audicence rating; 2. Descriptive statistics for show; 3. List of peaks of Twitter activity during the season with respecitve labels and corresponding TV scene (see https://medium.com/next-media-society/60319348c61a for methodology).4. Complete list of Twitter Ids in the dataset
DOI: 10.6084/m9.figshare.808605.v1
title: 3D Geometry of Active Region Upflows

description: Additional content for Hinode 7 Poster
DOI: 10.6084/m9.figshare.808606.v1
title: Twitter e Talk Show Politici in Italia (2012/2013)

description: From 30th of August 2012 to 30th June 2013 we collected 2,489,669 observations by querying the Twitter Firehose for Tweets containing at last one of the following hashtags: #ballarò or #ballaro, #portaaporta, #agorarai, #ultimaparola, #serviziopubblico, #inmezzora, #infedele or #linfedele, #ottoemezzo, #omnibus, #inonda, #piazzapulita. All the selected hashtags are either official (e.g. advertised on the official Twitter channel of the program or during the TV show) or the most frequently used hashtag related to one of the eleven political talk shows aired by the Italian free-to-air broadcasters during season 2012/2013.<br>The dataset was acquired via DiscoverText GNIP importer. In other terms, this dataset is a complete collection of all the Tweets related to the political talk shows TV genre during the entire season 2012/2013. From this raw dataset we extracted 1,889,585 observations (76% of the whole dataset) corresponding to Tweets created during the airtime (plus 15 minutes) of each episode (N=1,077) of the shows. For each aired episode we extracted the following metrics: number of Tweets created during the airtime, the number or replies, reTweet and original Tweets - Tweet-(ReTweet+Reply) -, the number of unique contributors, the reach (total sum of followers for each non unique contributors), the average rate of Tweets (TPM) and contributors (CPM) per minute, the ratio between unique contributors and average audience. For each episode, we also collected the average audience and rating as estimated by Auditel.
DOI: 10.6084/m9.figshare.808590
title: Fatty acid hydroxylation in transgenic Arabidopsis thaliana

description: RcCb5-2 T1 events.csv<br>Hydroxy fatty acid (HFA) percent from T2 seed from T1 events of RcCb5-2 transformed into CL37. Data are presented in Figure 3A. RcCb5-3 T1 events.csv<br>Hydroxy fatty acid (HFA) percent from T2 seed from T1 events of RcCb5-3 transformed into CL37. Data are presented in Figure 3B. RcCb5-4 T1 events.csv<br>Hydroxy fatty acid (HFA) percent from T2 seed from T1 events of RcCb5-4 transformed into CL37. Data are presented in Figure 3C. RcCBR1 RcCb5s T1 events.csv<br>Hydroxy fatty acid (HFA) percent from T2 seed from T1 events of RcCBR1+RcCb5 transformed into CL37. Data are presented in Figure 5. AtCBR1 T1 events.csv<br>Hydroxy fatty acid (HFA) percent from T2 seed from T1 events of AtCBR1 transformed into CL37. Data are presented in Supplementary Figure 1. RcCb5s T2 lines.csv<br>Hydroxy fatty acid (HFA) percent from T3 seed from T2 events of RcCb5s transformed into CL37. Data are presented in Figure 4 and Supplementary Table 1.<br>Please note that a colon “:” is normally used in the x:y (number of carbon:number of double bonds) nomenclature of the fatty acids, however to avoid the use of the colon in this dataset we have the carbon number followed by the letter “c” and then number of double bonds. For example “18c 1” (18:1) is oleic acid. RcCBR1 RcCb5 selected lines.csv<br>Hydroxy fatty acid (HFA) percent from T3 seed from T2 events of RcCBR1+RcCb5s transformed into CL37. Data are presented in Figure 6. Q-PCR data.csv<br>Quantitative reverse-transcriptase-PCR of developing castor bean endosperm. Transcripts were normalized to RcACTIN. Error bars represent standard error of the mean of three independent experiments with three replicates each. Relative fold change = 1/(2^(experimental-control). Data are presented in Figure 2.
DOI: 10.6084/m9.figshare.808592
title: NLP-PL

description: Problem List
DOI: 10.6084/m9.figshare.808591
title: NLP-PL-appendix-A-SNOMED-concepts-detected-by-NLP

description: SNOMED concepts detected in problem list sections separate lists are provided for CORE problem list concepts and concepts outside CORE set.
DOI: 10.6084/m9.figshare.808587
title: Gaussian Job Archive for C15H25NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.808587.v1
title: Gaussian Job Archive for C15H25NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.808590.v1
title: Fatty acid hydroxylation in transgenic Arabidopsis thaliana

description: RcCb5-2 T1 events.csv<br>Hydroxy fatty acid (HFA) percent from T2 seed from T1 events of RcCb5-2 transformed into CL37. Data are presented in Figure 3A. RcCb5-3 T1 events.csv<br>Hydroxy fatty acid (HFA) percent from T2 seed from T1 events of RcCb5-3 transformed into CL37. Data are presented in Figure 3B. RcCb5-4 T1 events.csv<br>Hydroxy fatty acid (HFA) percent from T2 seed from T1 events of RcCb5-4 transformed into CL37. Data are presented in Figure 3C. RcCBR1 RcCb5s T1 events.csv<br>Hydroxy fatty acid (HFA) percent from T2 seed from T1 events of RcCBR1+RcCb5 transformed into CL37. Data are presented in Figure 5. AtCBR1 T1 events.csv<br>Hydroxy fatty acid (HFA) percent from T2 seed from T1 events of AtCBR1 transformed into CL37. Data are presented in Supplementary Figure 1. RcCb5s T2 lines.csv<br>Hydroxy fatty acid (HFA) percent from T3 seed from T2 events of RcCb5s transformed into CL37. Data are presented in Figure 4 and Supplementary Table 1.<br>Please note that a colon “:” is normally used in the x:y (number of carbon:number of double bonds) nomenclature of the fatty acids, however to avoid the use of the colon in this dataset we have the carbon number followed by the letter “c” and then number of double bonds. For example “18c 1” (18:1) is oleic acid. RcCBR1 RcCb5 selected lines.csv<br>Hydroxy fatty acid (HFA) percent from T3 seed from T2 events of RcCBR1+RcCb5s transformed into CL37. Data are presented in Figure 6. Q-PCR data.csv<br>Quantitative reverse-transcriptase-PCR of developing castor bean endosperm. Transcripts were normalized to RcACTIN. Error bars represent standard error of the mean of three independent experiments with three replicates each. Relative fold change = 1/(2^(experimental-control). Data are presented in Figure 2.
DOI: 10.6084/m9.figshare.808592.v2
title: NLP-PL

description: Problem List
DOI: 10.6084/m9.figshare.808585
title: W5 Sharpless 2-201 CO 3-2 Data Cube

description: HARP Data cubes
DOI: 10.6084/m9.figshare.808586
title: Microscopy data of spleen cells from wild type, 3H9-transgenic and CD40L/3H9 double transgenic mice

description: Data 2. Fluorescent microscopic analysis of spleen sections from wild type, 3H9-transgenic and CD40L/3H9 double transgenic mice.<br>Spleen sections were obtained from wild type (A), 3H9-transgenic (B), and CD40L/3H9 double transgenic mice (C). Tissue sections were stained with biotin-conjugated rat anti-mouse MOMA-1, Alexa Fluor 647- conjugated streptavidin (red), Pacific Blue-conjugated rat anti-mouse B220 (green) and FITC-conjugated goat anti-mouse λ chain (blue) antibody. Fluorescent images were obtained with a Zeiss LSM 510 META laser scanning confocal microscope.
DOI: 10.6084/m9.figshare.808591.v1
title: NLP-PL-appendix-A-SNOMED-concepts-detected-by-NLP

description: SNOMED concepts detected in problem list sections separate lists are provided for CORE problem list concepts and concepts outside CORE set.
DOI: 10.6084/m9.figshare.808592.v1
title: NLP-PL

description: Problem List
DOI: 10.6084/m9.figshare.808584
title: W5 SE

description: W5 SE region
DOI: 10.6084/m9.figshare.808585.v1
title: W5 Sharpless 2-201 CO 3-2 Data Cube

description: HARP Data cubes
DOI: 10.6084/m9.figshare.807972
title: W5N

description: Data Cubes from the W5 CO 3-2 HARP survey
DOI: 10.6084/m9.figshare.808584.v1
title: W5 SE

description: W5 SE region
DOI: 10.6084/m9.figshare.808583
title: W5 CO 3-2 Data Cubes

description: JCMT HARP CO 3-2 data cubes
DOI: 10.6084/m9.figshare.808586.v2
title: Microscopy data of spleen cells from wild type, 3H9-transgenic and CD40L/3H9 double transgenic mice

description: Data 2. Fluorescent microscopic analysis of spleen sections from wild type, 3H9-transgenic and CD40L/3H9 double transgenic mice.<br>Spleen sections were obtained from wild type (A), 3H9-transgenic (B), and CD40L/3H9 double transgenic mice (C). Tissue sections were stained with biotin-conjugated rat anti-mouse MOMA-1, Alexa Fluor 647- conjugated streptavidin (red), Pacific Blue-conjugated rat anti-mouse B220 (green) and FITC-conjugated goat anti-mouse λ chain (blue) antibody. Fluorescent images were obtained with a Zeiss LSM 510 META laser scanning confocal microscope.
DOI: 10.6084/m9.figshare.808586.v1
title: Microscopy data of spleen cells from wild type, 3H9-transgenic and CD40L/3H9 double transgenic mice

description: Data 2. Fluorescent microscopic analysis of spleen sections from wild type, 3H9-transgenic and CD40L/3H9 double transgenic mice.<br>Spleen sections were obtained from wild type (A), 3H9-transgenic (B), and CD40L/3H9 double transgenic mice (C). Tissue sections were stained with biotin-conjugated rat anti-mouse MOMA-1, Alexa Fluor 647- conjugated streptavidin (red), Pacific Blue-conjugated rat anti-mouse B220 (green) and FITC-conjugated goat anti-mouse λ chain (blue) antibody. Fluorescent images were obtained with a Zeiss LSM 510 META laser scanning confocal microscope.
DOI: 10.6084/m9.figshare.807972.v1
title: W5 CO Data Cubes

description: Data Cubes from the W5 CO 3-2 HARP survey
DOI: 10.6084/m9.figshare.807705
title: Web Table 1. Free energy profile of the uncatalysed model π2s+π4s cycloaddition reaction

description: Web Table 1. Free energy profile of the uncatalysed model π2s+π4s cycloaddition reaction
DOI: 10.6084/m9.figshare.808583.v1
title: W5 CO 3-2 Data Cubes

description: JCMT HARP CO 3-2 data cubes
DOI: 10.6084/m9.figshare.807704
title: Web Table 2. Free energy profile of the formation of iodotriazoles via a Cu(III) metallacycle pathway

description: Web Table 2. Free energy profile of the formation of iodotriazoles via a Cu(III) metallacycle pathway
DOI: 10.6084/m9.figshare.807703
title: Web Table 3. Free energy profile of the formation of iodotriazoles via a Cu-catalysed cycloaddition pathway

description: Web Table 3. Free energy profile of the formation of iodotriazoles via a Cu-catalysed cycloaddition pathway
DOI: 10.6084/m9.figshare.807704.v1
title: Web Table 2. Free energy profile of the formation of iodotriazoles via a Cu(III) metallacycle pathway

description: Web Table 2. Free energy profile of the formation of iodotriazoles via a Cu(III) metallacycle pathway
DOI: 10.6084/m9.figshare.807705.v1
title: Web Table 1. Free energy profile of the uncatalysed model π2s+π4s cycloaddition reaction

description: Web Table 1. Free energy profile of the uncatalysed model π2s+π4s cycloaddition reaction
DOI: 10.6084/m9.figshare.808583.v2
title: W5 CO 3-2 Data Cubes

description: JCMT HARP CO 3-2 data cubes
DOI: 10.6084/m9.figshare.807701
title: Social Media and the Research Cycle

description: My slides from the September 24th Research Without Boarders discussion at Columbia University
DOI: 10.6084/m9.figshare.807697
title: Raw data of learning in the flight simulator: FAILED

description: this was an attempt at putting the raw data on figshare. Outdated version, we finally put the data in different article for each experiments.
DOI: 10.6084/m9.figshare.807703.v1
title: Web Table 3. Free energy profile of the formation of iodotriazoles <em>via</em> a Cu-catalysed cycloaddition pathway

description: Web Table 3. Free energy profile of the formation of iodotriazoles via a Cu-catalysed cycloaddition pathway
DOI: 10.6084/m9.figshare.807703.v2
title: Web Table 3. Free energy profile of the formation of iodotriazoles via a Cu-catalysed cycloaddition pathway

description: Web Table 3. Free energy profile of the formation of iodotriazoles via a Cu-catalysed cycloaddition pathway
DOI: 10.6084/m9.figshare.808583.v3
title: W5 CO 3-2 Data Cubes

description: JCMT HARP CO 3-2 data cubes
DOI: 10.6084/m9.figshare.807695
title: nveGenes.vienna130208.nemVec1.gtf

description: Description: The gene models, transcripts and other derived data were generated from a comprehensive transcriptome survey of samples taken from five embryonic stages, adult femal, and adult male samples. In total 1.6 billion 76-100 bp pair-end reads were obtained. The reads were mapped onto the N. vectensis genome v1.0, and new gene models were constructed using the RNA-seq evidence with the Augustus gene caller. These RNA-seq evidence based gene models are identified by a NVE prefix.
DOI: 10.6084/m9.figshare.807693
title: nveGenes.vienna130208.protein.fasta

description: Description: The gene models, transcripts and other derived data were generated from a comprehensive transcriptome survey of samples taken from five embryonic stages, adult femal, and adult male samples. In total 1.6 billion 76-100 bp pair-end reads were obtained. The reads were mapped onto the N. vectensis genome v1.0, and new gene models were constructed using the RNA-seq evidence with the Augustus gene caller. These RNA-seq evidence based gene models are identified by a NVE prefix.
DOI: 10.6084/m9.figshare.807694
title: nveGenes.vienna130208.fasta

description: Nematostella vectensis transcriptome and gene models v2.0 Description: The gene models, transcripts and other derived data were generated from a comprehensive transcriptome survey of samples taken from five embryonic stages, adult femal, and adult male samples. In total 1.6 billion 76-100 bp pair-end reads were obtained. The reads were mapped onto the N. vectensis genome v1.0, and new gene models were constructed using the RNA-seq evidence with the Augustus gene caller. These RNA-seq evidence based gene models are identified by a NVE prefix.
DOI: 10.6084/m9.figshare.807695.v1
title: nveGenes.vienna130208.nemVec1.gtf

description: Description: The gene models, transcripts and other derived data were generated from a comprehensive transcriptome survey of samples taken from five embryonic stages, adult femal, and adult male samples. In total 1.6 billion 76-100 bp pair-end reads were obtained. The reads were mapped onto the N. vectensis genome v1.0, and new gene models were constructed using the RNA-seq evidence with the Augustus gene caller. These RNA-seq evidence based gene models are identified by a NVE prefix.
DOI: 10.6084/m9.figshare.807697.v1
title: Raw data of learning in the flight simulator

description: this is the raw data, the metadata will be put in a different article... there will be a lot of data here, just need to upload it now...
DOI: 10.6084/m9.figshare.807692
title: nveGenes.vienna130208.nemVec1.bed

description: Description: The gene models, transcripts and other derived data were generated from a comprehensive transcriptome survey of samples taken from five embryonic stages, adult femal, and adult male samples. In total 1.6 billion 76-100 bp pair-end reads were obtained. The reads were mapped onto the N. vectensis genome v1.0, and new gene models were constructed using the RNA-seq evidence with the Augustus gene caller. These RNA-seq evidence based gene models are identified by a NVE prefix.
DOI: 10.6084/m9.figshare.807693.v1
title: nveGenes.vienna130208.protein.fasta

description: Description: The gene models, transcripts and other derived data were generated from a comprehensive transcriptome survey of samples taken from five embryonic stages, adult femal, and adult male samples. In total 1.6 billion 76-100 bp pair-end reads were obtained. The reads were mapped onto the N. vectensis genome v1.0, and new gene models were constructed using the RNA-seq evidence with the Augustus gene caller. These RNA-seq evidence based gene models are identified by a NVE prefix.
DOI: 10.6084/m9.figshare.807692.v1
title: nveGenes.vienna130208.nemVec1.bed

description: Description: The gene models, transcripts and other derived data were generated from a comprehensive transcriptome survey of samples taken from five embryonic stages, adult femal, and adult male samples. In total 1.6 billion 76-100 bp pair-end reads were obtained. The reads were mapped onto the N. vectensis genome v1.0, and new gene models were constructed using the RNA-seq evidence with the Augustus gene caller. These RNA-seq evidence based gene models are identified by a NVE prefix.