cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.810421.v1
title: Tenthredo sulphuripes group

description: Selection of pictures of several species of the <em>Tenthredo sulphuripes</em> group: <em>Tenthredo sulphuripes sulphuripes</em> (KRIECHBAUMER, 1869) <em>Tenthredo erasina</em> MALAISE, 1945 (= <em>Tenthredo flavipleuris</em> MUCHE, 1986) <em>Tenthredo huesingi</em> KOCH, 1984 <em>Tenthredo sulphuripes muchei</em> KOCH, 1985 <em><br></em>
DOI: 10.6084/m9.figshare.810442.v2
title: Dissertation Supplementary Files

description: <strong>Purpose</strong> These are a collection of supplementary files that are to be included in my dissertation. They include but are not limited to small IPython notebooks, extra figures, data-sets that are too large to publish in the main document such as full ortholog lists and other primary data. <strong>Viewing IPython notebooks (ipynb files)</strong> To view an IPython notebook, "right-click" its download link and select "Copy link address". Then navigate to the the free notebook viewer by following this link: http://nbviewer.ipython.org/. Finally, paste the link to the ipynb file that you copied into the URL form on the nbviewer page and click "Go".
DOI: 10.6084/m9.figshare.810411.v1
title: Article

description: Article is about financial distress forecasting based on development cycle of company
DOI: 10.6084/m9.figshare.810414.v1
title: Gaussian Job Archive for C18H25NO4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.810442.v3
title: Dissertation Supplementary Files

description: <strong>Purpose</strong> These are a collection of supplementary files that are to be included in my dissertation. They include but are not limited to small IPython notebooks, extra figures, data-sets that are too large to publish in the main document such as full ortholog lists and other primary data. <strong>Viewing IPython notebooks (ipynb files)</strong> To view an IPython notebook, "right-click" its download link and select "Copy link address". Then navigate to the the free notebook viewer by following this link: http://nbviewer.ipython.org/. Finally, paste the link to the ipynb file that you copied into the URL form on the nbviewer page and click "Go".
DOI: 10.6084/m9.figshare.810403
title: Gaussian Job Archive for C8H16Cl4N4O6Ru2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.810404
title: Gaussian Job Archive for C18H25NO4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.810405
title: Gaussian Job Archive for C18H23NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.810402
title: Gaussian Job Archive for C8H16Cl4N4O6Ru2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.810404.v1
title: Gaussian Job Archive for C18H25NO4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.810405.v1
title: Gaussian Job Archive for C18H23NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.810442.v4
title: Dissertation Supplementary Files

description: <strong>Purpose</strong> These are a collection of supplementary files that are to be included in my dissertation. They include but are not limited to small IPython notebooks, extra figures, data-sets that are too large to publish in the main document such as full ortholog lists and other primary data. <strong>Viewing IPython notebooks (ipynb files)</strong> To view an IPython notebook, "right-click" its download link and select "Copy link address". Then navigate to the the free notebook viewer by following this link: http://nbviewer.ipython.org/. Finally, paste the link to the ipynb file that you copied into the URL form on the nbviewer page and click "Go".
DOI: 10.6084/m9.figshare.809582
title: Spatial Demography Column 1 Data and code

description: These are the data and code for the first column in the Spatial Demography journal's Software and Code series
DOI: 10.6084/m9.figshare.810033
title: Hydraulic Dexterous Manipulator for Minimally Invasive Surgery: CAD model

description: A CAD model of a surgical manipulator design for a minimally invasive surgical robot. <em>Created in SolidWorks 2012.</em>
DOI: 10.6084/m9.figshare.809581
title: Spatial Demography Column 2 Data and Code

description: THese are extracts from American Factfinder 2, and are the data for the column in the Spatial Demography Journal
DOI: 10.6084/m9.figshare.810033.v1
title: Hydraulic Dexterous Manipulator for Minimally Invasive Surgery: CAD model

description: A CAD model of a surgical manipulator design for a minimally invasive surgical robot. <em>Created in SolidWorks 2012.</em>
DOI: 10.6084/m9.figshare.810402.v1
title: Gaussian Job Archive for C8H16Cl4N4O6Ru2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.810442.v5
title: Dissertation Supplementary Files

description: <strong>Purpose</strong> These are a collection of supplementary files that are to be included in my dissertation. They include but are not limited to small IPython notebooks, extra figures, data-sets that are too large to publish in the main document such as full ortholog lists and other primary data. <strong>Viewing IPython notebooks (ipynb files)</strong> To view an IPython notebook, "right-click" its download link and select "Copy link address". Then navigate to the the free notebook viewer by following this link: http://nbviewer.ipython.org/. Finally, paste the link to the ipynb file that you copied into the URL form on the nbviewer page and click "Go".
DOI: 10.6084/m9.figshare.809575
title: Eurhadinoceraea sanguinicollis (Mocsáry, 1880)

description: <em><strong>Eurhadinoceraea sanguinicollis</strong></em> (Mocsáry, 1880)<br>Figured specimens from Hungary: Heves: Kerecsend 47.800°N 20.350°E. 30.04.1987, leg. Ádám; 25.04.1988, leg. Zombori.<br>Coll. Hungarian Natural History Museum, Department of Zoology <em>Blennocampa sanquinicollis</em> MOCSÁRY, 1880.<br>Type locality: Hungary, Budapest, Svábhegy<br>Coll. Hungarian Natural History Museum, Department of Zoology<br>Mocsáry, A. 1880: Hymenoptera nova e variis orbis terrarum partibus. - Természetrajzi Füzetek, Budapest 4(4): 267-275. <em>Blennocampa sanguinicollis</em>: André, E. 1881: Species des Hyménoptères d'Europe & d'Algérie. - L'Auteur, Beaune (Côte-d'Or) 1[1879-1882](11): 565-596.
DOI: 10.6084/m9.figshare.809580
title: ACS_09_5YR_DP5YR3_with_ann.csv

description: Data from my columnhttp://link.springer.com/article/10.1007/BF03354900
DOI: 10.6084/m9.figshare.810442.v7
title: Dissertation Supplementary Files

description: <strong>Purpose</strong> These are a collection of supplementary files that are to be included in my dissertation. They include but are not limited to small IPython notebooks, extra figures, data-sets that are too large to publish in the main document such as full ortholog lists and other primary data. <strong>Viewing IPython notebooks (ipynb files)</strong> To view an IPython notebook, "right-click" its download link and select "Copy link address". Then navigate to the the free notebook viewer by following this link: http://nbviewer.ipython.org/. Finally, paste the link to the ipynb file that you copied into the URL form on the nbviewer page and click "Go".
DOI: 10.6084/m9.figshare.809574
title: Rhogogaster kaszabi Zombori 1973

description: <em><strong>Tenthredo (Eurogaster) aaliensis</strong></em> (STRAND, 1898)<br><em>Rhogogaster kaszabi</em> ZOMBORI, 1973, synonymy by Taeger (2013).<br>Holotype: Mongolia: Somon Burenchaan 8km N, am Fluß Delger mörön, 1450 m. 49.580°N 99.192°N, 20.06.1968, leg. Z. Kaszab.<br>Paratypes: Mongolia: Tosgoni ovoo 10 km N Ulan Bator, 1700-1900 m; 48.000°N 106.900°E, 23.07.1967-24.07.1967, leg. Z. Kaszab.<br>Coll. Hungarian Natural History Museum, Budapest, Department of Zoology Zombori, L. 1973: Symphyta (Hymenoptera) from Mongolia III. - Acta Zoologica Academiae Scientiarum Hungaricae, Budapest 19(3-4): 445-460<br>Taeger, A. 2013: The type specimens of Tenthredo Linnaeus, 1758 (Hymenoptera: Tenthredinidae) deposited in the Hungarian Natural History Museum. - Zootaxa, Auckland 3626(2): 201-244.
DOI: 10.6084/m9.figshare.809575.v1
title: Eurhadinoceraea sanguinicollis (Mocsáry, 1880)

description: <em><strong>Eurhadinoceraea sanguinicollis</strong></em> (Mocsáry, 1880)<br>Figured specimens from Hungary: Heves: Kerecsend 47.800°N 20.350°E. 30.04.1987, leg. Ádám; 25.04.1988, leg. Zombori.<br>Coll. Hungarian Natural History Museum, Department of Zoology <em>Blennocampa sanquinicollis</em> MOCSÁRY, 1880.<br>Type locality: Hungary, Budapest, Svábhegy<br>Coll. Hungarian Natural History Museum, Department of Zoology<br>Mocsáry, A. 1880: Hymenoptera nova e variis orbis terrarum partibus. - Természetrajzi Füzetek, Budapest 4(4): 267-275. <em>Blennocampa sanguinicollis</em>: André, E. 1881: Species des Hyménoptères d'Europe & d'Algérie. - L'Auteur, Beaune (Côte-d'Or) 1[1879-1882](11): 565-596.
DOI: 10.6084/m9.figshare.810442.v6
title: Dissertation Supplementary Files

description: <strong>Purpose</strong> These are a collection of supplementary files that are to be included in my dissertation. They include but are not limited to small IPython notebooks, extra figures, data-sets that are too large to publish in the main document such as full ortholog lists and other primary data. <strong>Viewing IPython notebooks (ipynb files)</strong> To view an IPython notebook, "right-click" its download link and select "Copy link address". Then navigate to the the free notebook viewer by following this link: http://nbviewer.ipython.org/. Finally, paste the link to the ipynb file that you copied into the URL form on the nbviewer page and click "Go".
DOI: 10.6084/m9.figshare.809574.v1
title: Rhogogaster kaszabi Zombori 1973

description: <em><strong>Tenthredo (Eurogaster) aaliensis</strong></em> (STRAND, 1898)<br><em>Rhogogaster kaszabi</em> ZOMBORI, 1973, synonymy by Taeger (2013).<br>Holotype: Mongolia: Somon Burenchaan 8km N, am Fluß Delger mörön, 1450 m. 49.580°N 99.192°N, 20.06.1968, leg. Z. Kaszab.<br>Paratypes: Mongolia: Tosgoni ovoo 10 km N Ulan Bator, 1700-1900 m; 48.000°N 106.900°E, 23.07.1967-24.07.1967, leg. Z. Kaszab.<br>Coll. Hungarian Natural History Museum, Budapest, Department of Zoology Zombori, L. 1973: Symphyta (Hymenoptera) from Mongolia III. - Acta Zoologica Academiae Scientiarum Hungaricae, Budapest 19(3-4): 445-460<br>Taeger, A. 2013: The type specimens of Tenthredo Linnaeus, 1758 (Hymenoptera: Tenthredinidae) deposited in the Hungarian Natural History Museum. - Zootaxa, Auckland 3626(2): 201-244.
DOI: 10.6084/m9.figshare.809580.v1
title: ACS_09_5YR_DP5YR3_with_ann.csv

description: Data from my columnhttp://link.springer.com/article/10.1007/BF03354900
DOI: 10.6084/m9.figshare.809569
title: Bcell example R-data package

description: This is an R-system data package containing a human B-cell gene expression dataset and a transcriptional regulatory network required by the ssmarina R-system package Sweave vignette.
DOI: 10.6084/m9.figshare.809570
title: Cryptococcus neoformans mitochondia display variable heteroplasmy

description: An iPython notebook analyzing mitochondrial heteroplasmy of 30 <em>C. neoformans</em> strains.
DOI: 10.6084/m9.figshare.809573
title: Sweave document and datasets for Ikiz et.al. manuscript: "The regulatory machinery of neurodegeneration in in vitro models of amyotrophic lateral sclerosis" published in Cell Reports

description: This file contains a Sweave document and additional datasets and regulatory networks required to run it. The Sweave document contains the data analysis pipeline for the Ikiz et.al. manuscript " The regulatory machinery of neurodegeneration in in vitro models of amyotrophic lateral sclerosis"
DOI: 10.6084/m9.figshare.809569.v1
title: Bcell example R-data package

description: This is an R-system data package containing a human B-cell gene expression dataset and a transcriptional regulatory network required by the ssmarina R-system package Sweave vignette.
DOI: 10.6084/m9.figshare.809570.v1
title: Cryptococcus neoformans mitochondia display variable heteroplasmy

description: An iPython notebook analyzing mitochondrial heteroplasmy of 30 <em>C. neoformans</em> strains.
DOI: 10.6084/m9.figshare.809573.v1
title: Sweave document and datasets for Ikiz et.al. manuscript: "The regulatory machinery of neurodegeneration in in vitro models of amyotrophic lateral sclerosis" published in Cell Reports

description: This file contains a Sweave document and additional datasets and regulatory networks required to run it. The Sweave document contains the data analysis pipeline for the Ikiz et.al. manuscript " The regulatory machinery of neurodegeneration in in vitro models of amyotrophic lateral sclerosis"
DOI: 10.6084/m9.figshare.809568
title: NLP-PL-appendix-B

description: 12 sample problem list sections
DOI: 10.6084/m9.figshare.809558
title: Applying mass spectrometry base-qualitative proteomics to human amygdaloid complex

description: Peptide information from mass spectrometry analysis of human amygdala
DOI: 10.6084/m9.figshare.809559
title: loglogistic function-modify S - curve

description: Software to estimate loglogistic function and strategic bands
DOI: 10.6084/m9.figshare.809568.v1
title: NLP-PL-appendix-B

description: 12 sample problem list sections
DOI: 10.6084/m9.figshare.809558.v2
title: Applying mass spectrometry base-qualitative proteomics to human amygdaloid complex

description: Peptide information from mass spectrometry analysis of human amygdala
DOI: 10.6084/m9.figshare.809559.v2
title: loglogistic function-modify S - curve

description: Software to estimate loglogistic function and strategic bands
DOI: 10.6084/m9.figshare.809554
title: Peaks of Twitter Activity

description: This dataset contains the information concerning the peaks of Twitter activity detected during the season and their corresponding broadcasted scene. The process of peaks detection and labelling is described in details at: https://medium.com/next-media-society/60319348c61a.
DOI: 10.6084/m9.figshare.809555
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.809558.v1
title: Proteomic analysis of human amygdala

description: Peptide information from mass spectrometry analysis of human amygdala
DOI: 10.6084/m9.figshare.809551
title: Gaussian Job Archive for C18H23NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.809553
title: Descriptive statistics for Political Talk Shows

description: This dataset contains descriptive statistics for the eleven political talk shows.
DOI: 10.6084/m9.figshare.809559.v1
title: loglogistic function

description: Software to estimate loglogistic function and strategic bands
DOI: 10.6084/m9.figshare.809549
title: W3 JCMT HARP CO 3-2 data cubes

description: JCMT HARP CO 3-2 data cubes in the W3 region. Never published.
DOI: 10.6084/m9.figshare.809551.v1
title: Gaussian Job Archive for C18H23NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.809553.v1
title: Descriptive statistics for Political Talk Shows

description: This dataset contains descriptive statistics for the eleven political talk shows.
DOI: 10.6084/m9.figshare.808624
title: AT&A Bell Labs 7 m 12CO data: Galactic center

description: GC 12CO l-V data cube and peak temperature. L-V positive b
DOI: 10.6084/m9.figshare.808626
title: Dataset _ Shirai and Imura (submitted to 'Psychological Science' for publication)

description: These data are raw data of Shirai & Imura (submitted to 'Psychological Science' for publication).
DOI: 10.6084/m9.figshare.809549.v1
title: W3 JCMT HARP CO 3-2 data cubes

description: JCMT HARP CO 3-2 data cubes in the W3 region. Never published.
DOI: 10.6084/m9.figshare.809555.v1
title: new fileset

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.808620
title: Bell Labs 7meter 3 mm data for Orion

description: Data cubes in 12CO CS J=2-1 etc.
DOI: 10.6084/m9.figshare.809554.v1
title: Peaks of Season Activity

description: This dataset contains the information concerning the peaks of Twitter activity detected during the season and their corresponding broadcasted scene. The process of peaks detection and labelling is described in details at: https://medium.com/next-media-society/60319348c61a.
DOI: 10.6084/m9.figshare.808626.v1
title: Dataset _ Shirai and Imura (submitted to 'Psychological Science' for publication)

description: These data are raw data of Shirai & Imura (submitted to 'Psychological Science' for publication).
DOI: 10.6084/m9.figshare.808606
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.808620.v1
title: Bell Labs 7meter 3 mm data for Orion

description: Data cubes in 12CO CS J=2-1 etc.